resume template for research scientist

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50+ Research & Science Resume Examples - Here's What Works In 2024

We've provided word and pdf templates for resumes in the science industry. use them as inspiration for writing your own resume..

Choose a category to browse Research & Science resumes

We've put together a number of free Research & Science resume templates that you can use. Choose a category depending on your field, or just scroll down to see all templates.

Chemistry Resumes

Want to work in chemistry in 2023? We’ve compiled three resume templates for you that’ll help you land your dream chemistry role, along with other tips and knowledge you’ll need to gain an extra edge against the competition. (Google Docs and PDFs attached).

Chemistry Lab Technician

Chemistry Research Student

Research Assistant Resumes

Becoming a research assistant is an ideal path for those who love to learn new things and challenge themselves intellectually. With a growing demand for capable research assistants, there’s never been a better time to apply. This guide contains everything you need to land the right position, including essential skills and sample resume templates for you to use.

Clinical Research Assistant

Laboratory Research Assistant

Graduate Research Assistant

Undergraduate Research Assistant

Entry Level Research Assistant

Psychology Research Assistant

Quality Control Resumes

Quality control is a process that companies use for enhancing or maintaining a product’s quality. The role of quality control is crucial because it improves the company’s reputation to make it more trustworthy and protect customers from receiving defective products. This is particularly important when dealing with cosmetics, food, or drugs. There are many types of quality control specialists, and their role is highly dependent on the industry they work in. However, they all have the same purpose: maintaining or improving quality and safety. If you’d like to know more about quality control occupations, read below. We have listed some job descriptions and included resume examples.

Quality Control Manager

Quality Control Inspector

Quality Control Chemist

Clinical Research Resumes

Clinical research is an important part of the pharmaceutical industry and helps us understand illnesses and create effective drugs to improve our health. This guide will show clinical researchers how to create winning resumes and progress in their clinical research careers.

Clinical Research Coordinator

Research Coordinator

Clinical Pharmacist

Clinical Manager

Credentialing Specialist

Clinical Data Manager

Medical Science Liaison

Clinical Trial Manager

Environmental Scientist Resumes

Environmental scientists have the rewarding role to minimize hazards in the environment caused by pollution or human intervention. They can work in multiple fields, including universities, industrial companies, and governments. Hence, they enjoy high demand and a positive job outlook. If you have knowledge of environmental science and critical thinking, you might be a good fit for this role. Yet, you may need a high-performing resume to gain visibility. Learn how to craft one with our environmental scientist resume guide.

Entry Level Environmental Science

Health and Safety Resumes

A health and safety officer is responsible for maintaining and promoting safety protocols within the work environment. They train staff members to ensure they follow this code of conduct in order to avoid injuries and hazards. To become a health and safety officer, you usually need a high-school diploma and industry certificate that validates your experience with safety regulations. If this is your case, then read on. We’re about to show you how to craft your health and safety resume.

Environmental Health and Safety Manager

Health and Safety Officer

Safety Officer

Action Verbs For Research & Science Resumes

• Implemented
• Investigated
• Interpreted

How to use these action verbs?

Use strong action verbs to describe your accomplishments at your previous companies, internships or classes. For roles involving science, use action verbs which highlight your experience with technical and engineering tasks. For example, "Implemented" or "Structured" are good action verbs to show technical experience, while "Collaborated" could be a good verb to highlight your teamwork experience.

Research & Science Resume Guide

• Chemistry Resume Templates
• Research Assistant Resume Templates
• Quality Control Resume Templates
• Clinical Research Resume Templates
• Environmental Scientist Resume Templates
• Health and Safety Resume Templates
• Research & Science Action Verbs
• All Resume Examples

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Research Scientist Resume Examples

A Research scientist is an integral part of the team that is responsible for creating groundbreaking discoveries and innovations. Crafting a successful resume can be the key to landing your next research scientist job. To help make sure your resume stands out, the following guide provides advice and examples of what to include in a research scientist resume. Taking the time to create a standout document can help you get noticed by potential employers and put you one step closer to your next great research scientist opportunity.

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Research Scientist

123 Main Street | Anytown, USA 99999 | Phone: (123) 456-7890 | Email: [email protected]

I’m an experienced research scientist with a passion for discovering new knowledge and solving complex problems. For the past 10 years I have worked in a variety of settings, from leading research projects with a team of scientists, to working independently in the laboratory. My experience has allowed me to develop a wide range of skills, from data analysis and scientific writing to problem solving and project management. I am committed to advancing scientific knowledge and strive to apply the latest technologies and methodologies to my research.

Core Skills :

• Statistical data analysis
• Scientific writing
• Project management
• Problem solving
• Laboratory work
• Team leadership
• Research methodology
• Technology applications

Professional Experience :

Research Scientist, XYZ Corporation – 2017 to Present

• Developed new methods for analyzing data and presenting results
• Collaborated with other researchers on joint projects
• Designed and conducted experiments to test hypotheses
• Developed laboratory protocols and procedures
• Presented research findings at conferences and symposiums

Research Assistant, ABC Corporation – 2010 to 2017

• Conducted laboratory experiments and data analysis
• Assisted with data collection and management
• Managed multiple projects at one time
• Interpreted results and communicated findings

Education :

PhD in Chemistry, University of California, Los Angeles – 2008 to 2010 Bachelor of Science in Chemistry, University of California, Los Angeles – 2003 to 2007

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Research Scientist Resume with No Experience

To obtain a research scientist position and utilize my problem- solving and analyzation skills to add value to an organization.

Recent graduate with a strong background in science and research looking for a research scientist position in an organization. Possess strong analytical and problem solving skills, and am able to apply them to various scientific challenges. Excellent communication skills and a keen eye for detail.

• Data analysis
• Scientific research
• Communication
• Organization
• Attention to detail

Responsibilities :

• Developing and running experiments and research projects
• Analyzing and interpreting data
• Maintaining laboratory equipment and ordering supplies
• Writing reports and presenting findings
• Working with a team of scientists to develop new research methods and techniques
• Keeping abreast of current developments in scientific research and technology

Experience 0 Years

Level Junior

Education Bachelor’s

Research Scientist Resume with 2 Years of Experience

Highly motivated and detail- oriented Research Scientist with 2 years of experience in laboratory research, chemical analysis, and scientific report writing. Skilled in the development of test methods and protocols. Experienced in the application of experimental design principles and data analysis techniques. Excellent organizational and problem- solving skills.

• Laboratory Research
• Chemical Analysis
• Scientific Report Writing
• Develop Test Methods & Protocols
• Experimental Design
• Data Analysis Techniques
• Organizational Skills
• Problem Solving
• Conducted research in organic chemistry and biochemistry
• Developed test methods and protocols for laboratory tests
• Analyzed chemical samples and wrote scientific reports
• Documented research results, including chemical structures and trends
• Maintained laboratory equipment and supplies
• Participated in group research projects and assists in data collection, analysis and interpretation of results
• Developed hypotheses and strategies to test them experimentally
• Reviewed data for accuracy and completeness

Experience 2+ Years

Research Scientist Resume with 5 Years of Experience

A Highly motivated and accomplished research scientist with 5 years of experience in conducting research projects and developing innovative solutions to meet industry needs. Experienced in laboratory techniques and use of laboratory equipment, and strong background in mathematics, physics and chemistry. Expert in data analysis and interpretation, report writing and the development of technical documents. Possesses excellent communication, problem solving and organizational skills.

• Conducting research projects
• Understanding of laboratory techniques
• Data analysis and interpretation
• Mathematics, physics and chemistry knowledge
• Excellent communication skills
• Problem solving and organizational skills
• Report writing
• Develop innovative solutions to industry needs
• Carry out laboratory tests and experiments
• Collect, monitor and analyse data
• Produce technical documents and reports
• Maintain laboratory equipment and supplies
• Provide guidance and direction to research team
• Conduct quality assurance and control tests
• Ensure research complies with relevant regulations and policies

Experience 5+ Years

Level Senior

Research Scientist Resume with 7 Years of Experience

Dynamic, curious and highly motivated Research Scientist with 7 years of experience and a Masters of Science degree in Research Science. Proven expertise in data collection, analysis and interpretation in the lab and the field, as well as the ability to synthesize complex information quickly. Possess strong technical and problem solving skills, as well as excellent communication and interpersonal skills.

• Data collection, analysis and interpretation
• Problem solving and critical thinking
• Conducting experiments
• Developing and optimizing protocols
• Proficient in multiple software programs
• Collaborating with teams
• Presenting and communicating results
• Developing and modifying research protocols and techniques
• Coordinating and conducting laboratory and field experiments
• Collecting, analyzing and interpreting data
• Troubleshooting and solving scientific problems
• Writing reports, manuscripts and grant proposals
• Presenting research results in both academic and industrial settings
• Overseeing junior researchers and interns in laboratories

Experience 7+ Years

Research Scientist Resume with 10 Years of Experience

Highly experienced Research Scientist with 10 years of experience in the fields of chemical engineering, data analysis, and laboratory research. Skilled in data analysis, troubleshooting, and statistical modeling with an expertise in communication and research techniques. Proven ability to lead a project from conception to completion and create accurate and reliable results.

• Data Analysis
• Troubleshooting
• Statistical Modeling
• Research Techniques
• Scientific Writing
• Time Management
• Team Leadership
• Collaboration
• Designing experiments and collecting data
• Developing and implementing methods for data analysis
• Developing statistical models and using scientific software
• Interpreting data and presenting results
• Communicating results to supervisors and other research staff
• Writing and presenting reports to colleagues and research sponsors
• Keeping records of research activities and results
• Supervising laboratory technicians and other research staff
• Monitoring laboratory safety policies and procedures
• Developing and implementing protocols for laboratory research

Experience 10+ Years

Level Senior Manager

Education Master’s

Research Scientist Resume with 15 Years of Experience

Highly motivated and experienced Research Scientist with more than 15 years of experience in researching, developing and testing new and innovative solutions for a variety of scientific and medical fields. Demonstrated expertise in data analysis, problem- solving, and critical thinking, as well as the ability to work both independently and collaboratively. Proven track record of successful projects, including leading multiple research projects from concept to completion.

• Research & Development
• Project Management
• Testing & Evaluation
• Critical Thinking
• Developing, testing, and implementing new research methods and protocols
• Evaluating research data and developing conclusions
• Conducting problem- solving experiments and providing solutions
• Analyzing and interpreting gathered data and making recommendations
• Managing research projects from start to finish
• Developing and maintaining strong relationships with stakeholders
• Creating reports and presenting findings to relevant teams
• Staying abreast of new theories and technologies in the field

Experience 15+ Years

Level Director

In addition to this, be sure to check out our resume templates , resume formats ,  cover letter examples ,  job description , and  career advice  pages for more helpful tips and advice.

What should be included in a Research Scientist resume?

A Research Scientist resume should showcase a wide breadth of knowledge and experience in the field, including research, lab experience, published material, and any other relevant information. A successful Research Scientist resume should include:-

• A professional summary that highlights your professional qualifications and experience.
• A detailed list of your research and lab experience, including any published work.
• An extensive list of scientific training, certifications, and licenses.
• A comprehensive list of technical skills, including software and programming languages.
• Accomplishments and awards, such as grants or fellowships.
• Any memberships to relevant scientific organizations.
• Education and any relevant degrees.
• Relevant volunteer or extracurricular activities.
• Contact information, including phone number, email address, and website.

What is a good summary for a Research Scientist resume?

A Research scientist resume should be organized into distinct sections that capture the applicant’s educational background, professional experience, and research achievements. It should be concise and highlight the skills that demonstrate the applicant’s ability to work in a lab setting, troubleshoot and solve problems, and be successful in the role of research scientist.

• The education section should list any degrees, certifications, or other qualifications that make the applicant a strong candidate for the job. This should include the school and dates attended as well as any honors or academic achievements.
• The professional experience section should list the applicant’s past jobs and any research-related experience they have had. This should include the job titles, the dates and locations of employment, and any accomplishments or skills that are relevant to the job of research scientist.
• The research achievements section should list any research-related awards, publications, presentations, or other distinctions the applicant has achieved. This should include the title, date, and location of any awards or publications as well as any other recognition the applicant has received.
• Finally, a research scientist resume should include a brief summary that summarizes the applicant’s qualifications and accomplishments. This should emphasize the applicant’s strengths and any knowledge or experience they have that make them an ideal candidate for the job.

What is a good objective for a Research Scientist resume?

A Research Scientist resume should have an objective that clearly states the candidate’s qualifications and career goals. The objective should focus on the skills and background that make the candidate the best fit for the position. Here are some examples of good objectives for a Research Scientist resume:

• To utilize my expertise in molecular biology, biochemistry, and genetics to conduct research and develop new techniques in a scientific laboratory.
• Seeking a position as a Research Scientist where I can use my experience in experimental design and data analysis to contribute to a team of scientists.
• To leverage my knowledge of biology, chemistry, and mathematics to develop and implement innovative research projects.
• Aiming to secure a position as a Research Scientist to apply my knowledge of biochemistry and cell biology to find solutions to complex problems.
• Seeking a position as a Research Scientist where I can apply my skills in data analysis and problem-solving to contribute to the organization’s success.

How do you list Research Scientist skills on a resume?

When listing the skills and qualifications of a Research Scientist on a resume, it is important to focus on the unique aspects of the job that make you a great fit for the position. The skills section of your resume should showcase the technical and analytical skills, business acumen and research competencies that you possess. Here are some examples of the types of skills a Research Scientist might have:

• Strategic Planning: The ability to develop and execute high-level research plans and goals.
• Knowledge of Scientific Methodology: Understanding the process and principles of scientific inquiry and the ability to apply them effectively.
• Data Analysis: The ability to compile, organize and interpret data from experiments and other sources.
• Technical Writing: The ability to write clear, concise reports and summaries of scientific research and findings.
• Research Methodology: Understanding the principles, theories and approaches used in scientific research.
• Problem Solving: Identifying problems and developing effective solutions.
• Presentation Skills: The ability to convey research findings in a format that is understandable to both colleagues and the public.
• Computer Proficiency: Experience with data processing software and programming languages.
• Time Management: The ability to prioritize tasks and manage workloads.
• Interpersonal Communication: The ability to effectively collaborate with other scientists and stakeholders.

What skills should I put on my resume for Research Scientist?

When applying for a research scientist position, a well-crafted resume is critical to success. To create a resume that accurately reflects your qualifications and experience, you should consider which skills and aptitudes that employers in the field are looking for. Here are some key skills to consider including on your resume when applying to research scientist positions:

• Data Analysis: Research scientists need to be able to take raw data, process it, and draw logical and meaningful conclusions. Include experiences where you have worked with data, such as experience in data mining and analytics.
• Critical Thinking: Research scientists must be able to think critically and solve complex problems. Employers want to see evidence of your critical thinking skills, such as problem-solving, data interpretation, and analysis.
• Communication: Research scientists must be able to effectively communicate their findings to other scientists, partners, and stakeholders. Include examples of written and verbal communication skills you have developed, such as the ability to write and present reports and proposals.
• Collaboration: Working with others is an essential part of research. Include experiences where you have collaborated with colleagues and other stakeholders on projects.
• Research: Research is a key part of being a research scientist and employers will be looking for evidence of your research skills. Include any research experience you have, such as conducting experiments, collecting data, and analyzing results.

By highlighting these key skills and experiences on your resume, you can demonstrate to potential employers that you have the necessary qualifications and aptitudes to be successful in the role of a research scientist.

Key takeaways for an Research Scientist resume

Crafting a well-rounded research scientist resume can be essential to securing the job you desire. As a researcher, you may have a plethora of skills and qualifications, but it is important to carefully consider what should be included on your resume in order to demonstrate to recruiters what makes you a great fit for the role. Here are some key takeaways for a research scientist resume:

• Highlight your scientific knowledge and skills: This is one of the most important sections of a research scientist resume. Include any scientific courses you’ve taken, research projects you’ve completed, and labs you’ve worked in. This will demonstrate to recruiters that you have the knowledge and skills necessary to excel in the role.
• Prioritize your achievements: Make sure to include any awards, grants, and publications you’ve earned as a research scientist. This will show recruiters that you are capable of producing exceptional results and are an asset to their organization.
• Showcase your tech skills: In addition to your scientific knowledge, it is important to demonstrate to recruiters your expertise in the technical aspect of the job. List any software programs, databases, and coding languages you are familiar with, as well as any other tech-related skills.
• Demonstrate your organizational skills: As a research scientist, you may be responsible for leading research projects. This means recruiters will want to know that you are organized and can effectively manage a team. Include any project management experience you have on your resume to demonstrate this.
• Present your communication skills: As a research scientist, you may need to communicate your findings to other experts. Make sure to highlight any public speaking experience, writing ability, and collaboration skills on your resume to show recruiters that you have excellent communication skills.

By following these tips, you can make sure that your research scientist resume is tailored

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Research Scientist resume examples for 2024

A research scientist's resume should showcase a strong sense of curiosity, along with both hard and soft skills. Hard skills like data analysis and knowledge of procedures are crucial, while soft skills like organizational abilities and excellent interpersonal skills are also important. As Shiri Noy Ph.D. , Assistant Professor at Denison University, puts it, "knowing how to collect, systematize, and analyze data. is something that is very appealing to employers."

Research Scientist resume example

How to format your research scientist resume:.

• Use the same job title on your resume as the job you're applying for. For example, 'Research Scientist'.
• In your work experience section, highlight achievements that show your impact, such as 'Developed a new medical device that improved patient outcomes' or 'Optimized a process, resulting in a 20% cost reduction'.
• Keep your resume to one page, focusing on relevant experience and achievements. Recruiters and hiring managers often prefer concise, easy-to-read resumes.

Choose from 10+ customizable research scientist resume templates

Choose from a variety of easy-to-use research scientist resume templates and get expert advice from Zippia’s AI resume writer along the way. Using pre-approved templates, you can rest assured that the structure and format of your research scientist resume is top notch. Choose a template with the colors, fonts & text sizes that are appropriate for your industry.

Entry level research scientist resume example

Research scientist resume format and sections, 1. add contact information to your research scientist resume.

Research Scientist Resume Contact Information Example # 1

Hank Rutherford Hill

St. Arlen, Texas | 333-111-2222 | [email protected]

2. Add relevant education to your research scientist resume

Your resume's education section should include:

• The name of your school
• The date you graduated ( Month, Year or Year are both appropriate)
• The name of your degree

If you graduated more than 15 years ago, you should consider dropping your graduation date to avoid age discrimination.

Optional subsections for your education section include:

• Academic awards (Dean's List, Latin honors, etc. )
• GPA (if you're a recent graduate and your GPA was 3.5+)
• Extra certifications
• Academic projects (thesis, dissertation, etc. )

Other tips to consider when writing your education section include:

• If you're a recent graduate, you might opt to place your education section above your experience section
• The more work experience you get, the shorter your education section should be
• List your education in reverse chronological order, with your most recent and high-ranking degrees first
• If you haven't graduated yet, you can include "Expected graduation date" to the entry for that school

Check More About Research Scientist Education

Research Scientist Resume Relevant Education Example # 1

Doctoral Degree In Chemistry 2015 - 2018

Michigan State University East Lansing, MI

Research Scientist Resume Relevant Education Example # 2

Doctoral Degree In Chemistry 2013 - 2016

Rutgers, The State University of New Jersey New Brunswick, NJ

3. Next, create a research scientist skills section on your resume

Your resume's skills section should include the most important keywords from the job description, as long as you actually have those skills. If you haven't started your job search yet, you can look over resumes to get an idea of what skills are the most important.

Here are some tips to keep in mind when writing your resume's skills section:

• Include 6-12 skills, in bullet point form
• List mostly hard skills ; soft skills are hard to test
• Emphasize the skills that are most important for the job

Hard skills are generally more important to hiring managers because they relate to on-the-job knowledge and specific experience with a certain technology or process.

Soft skills are also valuable, as they're highly transferable and make you a great person to work alongside, but they're impossible to prove on a resume.

Example of skills to include on an research scientist resume

Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.

C++ is a general-purpose programming language that is used to create high-performing applications. It was invented as an extension to the C language. C++ lets the programmer have a high level of domination over memory and system resources. C++ is an object-oriented language that helps you implement real-time issues based on different data functions

Chemistry is the branch of science that tells us about the composition, properties, and structure of elements and compounds. The processes these elements undergo and how they undergo change all come under the branch of chemistry.

Java is a widely-known programming language that was invented in 1995 and is owned by Oracle. It is a server-side language that was created to let app developers "write once, run anywhere". It is easy and simple to learn and use and is powerful, fast, and secure. This object-oriented programming language lets the code be reused that automatically lowers the development cost. Java is specially used for android apps, web and application servers, games, database connections, etc. This programming language is closely related to C++ making it easier for the users to switch between the two.

Data collection means to analyze and collect all the necessary information. It helps in carrying out research and in storing important and necessary information. The most important goal of data collection is to gather the information that is rich and accurate for statistical analysis.

Experimental design is the process of researching in an objective and controlled manner to maximize precision and draw specific conclusions about a hypothesis statement. It is a concept used to efficiently organize, conduct, and interpret the results of experiments to ensure that as much useful information as possible is obtained by conducting a small number of trials. This minimizes the effects of the variables to increase the reliability of the results.

Top Skills for a Research Scientist

• Python , 10.7%
• Data Analysis , 6.5%
• Patients , 6.1%
• Other Skills , 70.6%

4. List your research scientist experience

The most important part of any resume for a research scientist is the experience section. Recruiters and hiring managers expect to see your experience listed in reverse chronological order, meaning that you should begin with your most recent experience and then work backwards.

Don't just list your job duties below each job entry. Instead, make sure most of your bullet points discuss impressive achievements from your past positions. Whenever you can, use numbers to contextualize your accomplishments for the hiring manager reading your resume.

It's okay if you can't include exact percentages or dollar figures. There's a big difference even between saying "Managed a team of research scientists" and "Managed a team of 6 research scientists over a 9-month project. "

Most importantly, make sure that the experience you include is relevant to the job you're applying for. Use the job description to ensure that each bullet point on your resume is appropriate and helpful.

What experience really stands out on Research Scientist resumes?

Distinguished University Professor and Co-chair , Case Western Reserve University

• Elucidated a role for Erv14 in coordinating folding and ER export of many transmembrane proteins.
• Detected DNA mutations in breast cancer.
• Collected and analyzed data on a patented methodology and assisted a PhD student in completing research geared towards scientific publication.
• Developed new DNA constructs and more than 5 DNA mutations in order to create transgenic animals.
• Conducted research on health behavior utilizing computer simulations of human cognition and learning
• Maintained an inventory of chemicals needed to produce company products and ordered chemicals to ensure minimal work stoppage.
• Interacted with school personnel answering questions regarding Board policies & procedures.
• Developed standard procedures to document protocol deviations, equipment logs, and inventory audits.
• Automated the monitoring/feature testing process using Python Scripts.
• Utilized CRISPR technology to generate MED12 exon 2 deletion mutations in colon cancer cells.
• Taught/assisted engineering students in courses on Engineering Chemistry, Heat Transfer Operations and Bio-molecular Engineering.
• Published research findings in peer reviewed journals including American Journal of Physiology Renal Physiology.
• Mentored junior PhD Linguistics students during the 2014 academic year.
• Published research in journals including Investigative Ophthalmology and delivered award-winning presentations at national and international conferences/symposiums.
• Supervised and evaluated students performing a general chemistry laboratory while providing one on one instruction in basic laboratory techniques.
• Programmed lo-fidelity agent-based Java simulation models and assessed micro-vehicle capabilities using Design of Experiments and Sizing and Synthesis tools.
• Reviewed and organized clinical data for Regulatory Affair department to support an amendment to FDA submission.
• Contributed towards the sequencing and assembly of the mitochondrial and apicoplast genomes of the parasite.
• Focused on the mechanical and fracture properties to predict the end-use performance of semi-crystalline biopolymers, their blends, and composites.
• Worked in an organic chemistry laboratory researching molecules for biological sensing use.

5. Highlight research scientist certifications on your resume

Specific research scientist certifications can be a powerful tool to show employers you've developed the appropriate skills.

If you have any of these certifications, make sure to put them on your research scientist resume:

• Certified Clinical Research Professional (CCRP)
• Clinical Research Assistant
• Certified Clinical Research Coordinator (CCRC)
• Professional Researcher Certification (PRC)
• Associate - Data Science Version 2.0
• Certification in General Surgery

6. Finally, add an research scientist resume summary or objective statement

A resume summary statement consists of 1-3 sentences at the top of your research scientist resume that quickly summarizes who you are and what you have to offer. The summary statement should include your job title, years of experience (if it's 3+), and an impressive accomplishment, if you have space for it.

Remember to emphasize skills and experiences that feature in the job description.

Common research scientist resume skills

• Data Analysis
• Research Projects
• Molecular Biology
• Data Collection
• Cell Culture
• Visualization
• Excellent Interpersonal
• Laboratory Equipment
• Experimental Design
• Statistical Analysis
• Flow Cytometry
• Prototyping
• Product Development
• Research Findings
• Technical Reports
• Drug Discovery
• Next-Generation Sequencing
• Method Development
• Analytical Methods
• Distributed Computing
• Clinical Trials
• Cell-Based Assays
• Western Blotting
• Technical Support
• Emerging Technologies

Entry level research scientist resume templates

Research Scientist Jobs

Links to help optimize your research scientist resume.

• How To Write A Resume
• List Of Skills For Your Resume
• How To Write A Resume Summary Statement
• Action Words For Your Resume
• How To List References On Your Resume

Research Scientist resume FAQs

How do you write a science research resume, what should a scientific cv look like, what skills should i put on my resume for science, search for research scientist jobs.

Updated June 25, 2024

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Research Scientist Related Resumes

• Associate Scientist Resume
• Graduate Research Student Resume
• Research And Development Scientist Resume
• Research Associate Resume
• Research Chemist Resume
• Research Fellow Resume
• Research Internship Resume
• Research Specialist Resume
• Research Technician Resume
• Researcher Resume
• Scientist Resume
• Senior Research Associate Resume
• Senior Research Fellow Resume
• Senior Scientist Resume
• Staff Scientist Resume

Research Scientist Related Careers

• Assistant Research Scientist
• Associate Scientist
• Graduate Research Student
• Postdoctoral Associate
• Postdoctoral Research Associate
• Research And Development Scientist
• Research Associate
• Research Chemist
• Research Fellow
• Research Internship
• Research Laboratory Technician
• Research Specialist
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• • Developed and optimized 4 new cell culture protocols improving yield by 30%, which was crucial for the downstream immunoassay applications.
• • Led a team of 5 technicians to streamline blood sample processing, achieving a 20% increase in efficiency without compromising sample integrity.
• • Implemented an innovative cell staining technique that resulted in a 15% improvement in flow cytometry accuracy for tumor cell isolation.
• • Collaborated cross-functionally on the successful verification of 2 new instrument prototypes, enhancing the lab's capabilities in cell analysis.
• • Wrote and reviewed over 20 in-depth technical SOPs compliant with GMP standards, ensuring stringent regulatory adherence and laboratory safety.
• • Executed critical troubleshooting for manufacturing and field operations, resolving 14 unique instrument issues, which reduced downtime by 40%.
• • Standardized an immunoassay protocol that increased signal-to-noise ratio by 25%, thus enhancing the detection of rare tumor markers.
• • Successfully completed 200+ assays for a major project, identifying key biomarkers for cancer prognosis.
• • Optimized tissue culture conditions, resulting in a consistent 20% improvement in viability for cryopreserved cells.
• • Mentored 3 junior researchers in cell culture and flow cytometry techniques, contributing to the swift progression of multiple research projects.
• • Provided critical input in team meetings, shaping the direction of research and subsequent studies that led to two patent applications.
• • Contributed to the development of a novel cell enrichment product that increased recovery rate of targeted cells by 40%.
• • Assisted in the validation of immuno-assay procedures, enhancing overall laboratory throughput and efficiency.
• • Prepared detailed progress reports summarizing research findings and instrumental in securing ongoing project funding.
• • Maintained compliance with biohazard safety standards, achieving a 100% safety record during tenure.

7 Scientist Resume Examples & Guide for 2024

Your scientist resume must showcase a robust educational background. Highlight degrees, relevant coursework, and any honors you have received. Emphasize your experience with scientific research and publications. Be sure to include any patents, presentations, or collaborative projects you've worked on.

All resume examples in this guide

Lab Assistant

Lab Manager

Lab Technician

Research Scientist

Resume guide.

Resume Format Tips

Resume Experience

Skills on Resume

Education & Certifications

Resume Summary Tips

Additional Resume Sections

Key Takeaways

One resume challenge you as a scientist might face is effectively translating your extensive research and technical experience into a format that is accessible and compelling to non-specialist employers. Our guide can help you articulate the value of your scientific skills and achievements in a way that resonates across a broad range of industries, ensuring your resume stands out in a competitive job market.

• Apply best practices from professional resumes to spotlight your application;
• Quantify your professional experience with achievements, career highlights, projects, and more;
• Write an eye-catching scientist resume top one-third with your header, summary/objective, and skills section;
• Fill in the gaps of your experience with extracurricular, education, and more vital resume sections.

We've selected, especially for you, some of our most relevant scientist resume guides. Getting you from thinking about your next career move to landing your dream job.

• Lab Manager Resume Example
• Lab Technician Resume Example
• Research Director Resume Example
• Lab Assistant Resume Example
• Chemist Resume Example
• Research Assistant Resume Example
• Research Manager Resume Example
• Research Associate Resume Example
• Researcher Resume Example
• Radiologic Technologist Resume Example

Is there a correct way to format your scientist resume?

This is a tricky question. While skimming over your resume, recruiters will be looking at your experience and the message your profile conveys. That's why your resume format needs to be clear and concise, serving to supplement and organize your experience. Professional best practices point that the best scientist resumes:

• Follow the reverse chronological order, where the most recent experience items are presented first . This is to keep your expertise succinct and to show recruiters your career growth over the years;
• Have a clearly defined header that includes all relevant contact information and a portfolio or a LinkedIn link. In some countries, it is acceptable to include a professional photo , so that your application is more memorable;
• Feature the most important scientist resume sections towards the top, e.g. summary, skills, and experience. That way, recruiters can immediately find information that is relevant to the role;
• Take up no more than two pages - and two pages are the exception for more experienced professionals. Keep your expertise to the point and use your scientist resume real estate wisely .
• Selecting modern, yet simple fonts, e.g. Rubik, Lato, etc., would help your application stand out;
• Many candidates stick with the tried-and-tested Arial or Times New Roman, but you'd want your scientist resume to be a bit more unique;
• The ATS can read all serif and sans-serif fonts, so you should avoid fancy, formal script (or cursive) fonts.

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Highlight any significant extracurricular activities that demonstrate valuable skills or leadership.

Essential sections that should make up your scientist resume include:

• The header - with your contact details (e.g. email and telephone number), link to your portfolio, and headline
• The summary (or objective) - to spotlight the peaks of your professional career, so far
• The experience section - with up to six bullets per role to detail specific outcomes
• The skills list - to provide a healthy mix between your personal and professional talents
• The education and certification - showing your most relevant degrees and certificates to the scientist role

What recruiters want to see on your resume:

• Publications and research work, demonstrating contributions to the scientific community and subject matter expertise
• Grants and funding history, showcasing the ability to secure financial resources for research projects
• Technical skills and laboratory experience, including expertise in relevant scientific techniques, tools, and software
• Education and continuous learning, emphasizing degrees, certifications, and specialization in relevant scientific disciplines
• Presentation and teaching experience, highlighting abilities to disseminate knowledge and communicate complex ideas effectively

Guide to your most impressive scientist resume experience section

When it comes to your resume experience , stick to these simple, yet effective five steps:

• Show how your experience is relevant by including your responsibility, skill used, and outcome/-s;
• Use individual bullets to answer how your experience aligns with the job requirements;
• Think of a way to demonstrate the tangible results of your success with stats, numbers, and/or percentages ;
• Always tailor the experience section to the scientist role you're applying for - this may sometimes include taking out irrelevant experience items;
• Highlight your best (and most relevant) achievements towards the top of each experience bullet.

You're not alone if you're struggling with curating your experience section. That's why we've prepared some professional, real-life scientist resume samples to show how to best write your experience section (and more).

• Managed the development of an innovative CRISPR gene-editing project that increased the accuracy of gene targeting by 35%.
• Spearheaded a cross-functional team to investigate the metabolic pathways of a newly discovered microorganism, leading to the publication of 3 peer-reviewed papers.
• Piloted a bioinformatics initiative that improved data analysis workflows, enhancing research efficiency by 20%.
• Collaborated on a multi-year study examining atmospheric pollutants, which influenced policy decisions at the EPA.
• Cultivated partnerships with universities to advance climate model simulations, reducing computational errors by 15%.
• Orchestrated the implementation of advanced spectroscopy techniques for material analysis, optimizing product development timelines.
• Directed a major research initiative on protein folding disorders that contributed to a novel drug therapy currently in Phase II trials.
• Integrated next-generation sequencing technology into the research suite, boosting the throughput of genetic analyses by 40%.
• Secured a competitive research grant worth $2 million to explore novel oncology biomarkers.
• Established a nanotechnology lab, resulting in a 50% increase in publication output for the department.
• Implemented robust chemical synthesis protocols for drug delivery systems, leading to a 25% improvement in efficacy during pre-clinical trials.
• Mentored a team of junior scientists and postdoctoral researchers, leading to two of them achieving prestigious fellowships.
• Led a collaboration with international teams to advance quantum computing applications in materials science, enhancing simulation capabilities by 30%.
• Developed a proprietary algorithm for predictive modeling in pharmaceutical development, shaving months off traditional R&D cycles.
• Educated corporate partners on the potential of machine learning in industrial chemistry, fostering three strategic partnerships.
• Contributed to the design and launch of a scalable data repository for genomics research data, accommodating over 20TB of data.
• Played a pivotal role in the translational medicine team, leveraging big data to fast-track the discovery of two candidate molecules for cardiovascular diseases.
• Developed and introduced a machine learning module to predict enzyme activity, which was incorporated into the company's drug development platform.
• Oversaw a large-scale water quality project, which was instrumental in improving the quality of potable water in 5 major cities.
• Authored a comprehensive report on the impact of industrial effluents on aquatic life, leading to two industrial partners revising their waste management strategies.
• Initiated and managed a successful collaboration with governmental agencies to establish new environmental monitoring stations.
• Advanced the field of synthetic biology by contributing to the creation of a synthetic genome, which has applications in green energy production.
• Optimized lab workflows using automation technology, thereby improving experimental throughput by over 30%
• Developed a patent-pending bioreactor design, which is now being used to scale up production of biofuels.
• Engineered novel protein-based therapeutics that have completed early-stage clinical trials with promising results.
• Initiated a successful industry-academic cooperation for the study of rare diseases, resulting in over $500,000 in funding.
• Integrated statistical modeling into drug development processes, reducing the time to clinical trial initiation by 20%.
• Drove an interdisciplinary project to develop a new class of antimicrobial agents, which are now part of a global health initiative.
• Authored a seminal paper on the application of AI in predictive toxicology, cited over 100 times in subsequent research.
• Mentored a team of scientists, inspiring the launch of an internal startup focused on green chemistry solutions.

Quantifying impact on your resume

• Include the number of peer-reviewed publications you have authored or co-authored to demonstrate research productivity.
• List the total amount of grant funding you have secured to show financial acumen and project support.
• Specify the size of research teams you have led or collaborated with to highlight your teamwork and leadership.
• Detail the number of patents you have filed or been awarded to exhibit innovation and commercial relevance.
• Present the number of conference presentations or workshops you have delivered to illustrate communication skills.
• Mention the number of students or postdocs you have supervised or mentored to show your commitment to education and training.
• Quantify the scale or impact of any implemented scientific techniques or improvements to show problem-solving abilities.
• Record the metrics of efficiency improvements or cost reductions resulting from your work to prove your operational contributions.

Action verbs for your scientist resume

What if my scientist experience doesn't match the requirements?

You've just graduated from college and may have no real world job experience . What should you include within your resume then?

Instead of making up information or adding irrelevant past jobs (e.g. your on-campus work during freshman year), you can:

• Shift the focus from your professional experience to your community impact with your volunteer work. This would showcase numerous soft skills you've built over time (e.g. interpersonal communication);
• Highlight the projects you've completed, as part of your coursework, or, on your own. Thus, you will align your technical background with recruiters' requirements;
• Consider spotlighting your transferrable skills. Or, what lessons and talents your current professional and personal experience has taught you and how they could benefit your potential employers;
• Even if you've had a few months of internship experience, that is relevant for the role, make sure to include this. Recruiters do care about the years of experience you happen to have, but, at the end of the day, your profile would also be assessed based on role alignment.

Recommended reads:

• When You Should (And Not) Add Dean's List On Your Resume
• How To Include Your Relevant Coursework On A Resume

The more time and effort you've put into obtaining the relevant certificate, the closer to the top it should be listed. This is especially important for more senior roles and if the company you're applying for is more forward-facing.

How to showcase hard skills and soft skills on your resume

Reading between the lines of your dream job, you find recruiters are looking for candidates who have specific software or hardware knowledge, and personal skills.

Any technology you're adept at shows your hard skills. This particular skill set answers initial job requirements, hinting at how much time your potential employers would have to invest in training you. Showcase you have the relevant technical background in your skills section , as well as your certificates ones.

Meanwhile, soft skills hint at how well you communicate, solve problems, and adapt to new environments . Basically, your interpersonal communication skills that show recruiters if you'd fit into the team and company culture. You could use the achievements section to tie in your greatest wins with relevant soft skills.

It's also a good idea to add some of your hard and soft skills across different resume sections (e.g. summary/objective, experience, etc.) to match the job requirements and pass the initial screening process. Remember to always check your skill spelling and ensure that you've copy-pasted the name of the desired skills from the job advert as is.

Top skills for your scientist resume:

Research design

Data analysis

Statistical software proficiency

Laboratory techniques

Technical writing

Scientific modeling

Experimentation

Subject matter expertise

Data visualization

Project management

Critical thinking

Problem solving

Communication

Adaptability

Attention to detail

Time management

Listing your relevant degrees or certificates on your scientist resume is a win-win situation. Not only does it hint at your technical capabilities in the industry, but an array of soft skills, like perseverance, adaptability, and motivation.

What are the best certificates to add to your scientist resume + how to curate your education section

The education and certification resume sections are the underdogs of your scientist resume.

They showcase to recruiters that you've invested plenty of time to gain valuable and specific know-how, vital for growth.

As far as the resume education section is concerned:

• Detail only advanced education, specifying the institution and timeframe.
• Indicate your forthcoming graduation date if you're in the midst of your studies.
• Consider omitting degrees that don't align with the job's requirements.
• Offer a description of your academic journey if it underscores your notable achievements.

When curating your degrees and certificates on your scientist resume:

• Select only accreditation that matters to the role
• Niche knowledge that could help you stand out as a candidate (as is within the past few years), should be listed towards the top of your resume
• Include any pertinent data for credibility (e.g. institute name, graduation dates, etc.)
• Irrelevant degrees and certifications shouldn't make it on your resume. Those include your high school diploma and any specializations that have nothing to do with the technical or soft skills that are required for the job

As a final note, if you feel tempted to exclude your education or certification from your resume, don't.

These two sections could help you have a better competitive edge over other candidates - hinting that your professional journey in the industry may be for a longer period of time.

Recruiters find all of these scientist credentials impressive:

The top 5 certifications for your scientist resume:

• Project Management Professional (PMP) - Project Management Institute
• Certified Data Professional (CDP) - Institute for Certification of Computing Professionals
• Biotechnology Project Management Specialization - University of Washington
• Certified ScrumMaster (CSM) - Scrum Alliance
• Certified Research Administrator (CRA) - Research Administrators Certification Council

The more trusted the organization you've attained your certificate (or degree) from, the more credible your skill set would be.

• How to Put Cum Laude on Your Resume

Adding a summary or objective to your scientist resume

One of the most crucial elements of your professional presentation is your resume's top one-third. This most often includes:

• Either a resume summary - your career highlights at a glance. Select the summary if you have plenty of relevant experience (and achievements), you'd like recruiters to remember about your application.
• Or, a resume objective - to showcase your determination for growth. The perfect choice for candidates with less experience, who are looking to grow their career in the field.

If you want to go above and beyond with your scientist resume summary or resume objective, make sure to answer precisely why recruiters need to hire you. What is the additional value you'd provide to the company or organization? Now here are examples from real-life scientist professionals, whose resumes have helped them land their dream jobs:

Resume summaries for a scientist job

• With over a decade of dedicated research in molecular biology and a proven track record of scientific publications in high-impact journals, I bring a robust understanding of genetic engineering techniques and a significant breakthrough in CRISPR-Cas9 gene-editing technology, improving the accuracy of gene therapy interventions.
• Seasoned biochemist with 15 years of experience in drug discovery and a deep expertise in proteomics, credited with developing a novel assay that accelerated the screening of potential therapeutic compounds for the treatment of Alzheimer’s disease.
• An experienced software engineer with a newfound passion for computational biology, I possess a strong foundation in machine learning and algorithm design, evidenced by my patented data analytics software, which is now keen to contribute to innovative genomic research projects.
• A former data analyst with 8 years in the tech industry, keen to leverage my expertise in big data and statistical analysis to decipher complex biological data sets; I have independently learned key bioinformatics tools and am eager to apply this knowledge to contribute to groundbreaking research in genomics.
• Eager to embark on a career in immunology research, my recent Master’s degree in Microbiology equipped me with a solid theoretical foundation, hands-on laboratory experience, and an enthusiastic commitment to contribute to studies on autoimmune diseases and the development of novel vaccines.
• As a recent biology graduate, I am excited to apply my extensive knowledge from rigorous coursework and interactive lab experiences in cellular biology to practical research, and I am motivated to contribute to oncology-focused clinical trials at a foundational level, despite having no prior industry experience.

Recruiters' favorite additional scientist resume sections

When writing your scientist resume, you may be thinking to yourself, " Is there anything more I can add on to stand out? ".

Include any of the below four sections you deem relevant, to ensure your scientist resume further builds up your professional and personal profile:

• Books - your favorite books can showcase that you have an excellent level of reading comprehension, creativity, and outside the box thinking;
• Languages - make sure you've included your proficiency level alongside a relevant certificate or a form of self-assessment;
• Website link - ensure you've curated your most relevant and recent projects in your professional portfolio (and that the link is a part of your resume header) to support your application;
• Passions - showing recruiters how you spend your time outside of work and what activities or causes you're invested in.

Key takeaways

• The logic of your resume presentation should follow your career highlights and alignment with the role;
• Curate information within different sections (e.g. summary, experience, etc.) that helps highlight your strengths;
• Exclude from your resume irrelevant experience items - that way you'd ensure it stays no longer than two pages and is easy to read;
• Dedicate space within the summary, experience, and/or achievements to highlight precisely why you're the best candidate for the role via your previous success;
• Both your technical and people capabilities should also play a crucial role in building up your scientist application. Prove your skill set in various resume sections.

Scientist resume examples

Explore additional scientist resume samples and guides and see what works for your level of experience or role.

The Biology field carefully observes and interprets science. Highlighting your technical skills in biology is crucial.

Emphasize on your experience with biological research methods. Experience in microscopy, dissection, or culturing organisms is crucial. Do not just list these skills - demonstrate their practical uses, eg. 'Identified various species during field research using a microscope'.

Your holistic understanding of biological systems should be apparent from your previous work. Include successful projects and their impact.

Stand out by highlighting unique biological skills eg. 'Experienced in marine biology research' or 'Researched evolutionary patterns'.

Make sure to also showcase your problem-solving skills. Biology work often requires creative solutions to complex problems.

As a chemist, your technical expertise in chemistry and analytical mindset is your stronghold.

Highlight your research experience. Make sure it illustrates your ability to design, conduct, and interpret experiments.

Concentrate on your expertise in cross-disciplinary areas e.g., 'Formulated industrial-grade detergent based on organic chemistry principles'.

Highlight complex tasks executed, explaining how they improved overall result, eg. 'Increased solution efficacy by 30%'.

Stress on your laboratory skills, maintaining safety at the forefront. Convey how you've maintained a safe work environment in the past.

A Lab Assistant requires strong analytical skills and a thorough knowledge of laboratory procedures .

Emphasize on your practical lab skills. List lab techniques performed, along with their impact, eg. ' Assisted in X experiment, which led to formulation of Y '.

Detail your understanding of lab safety procedures . Indicate the specific safety courses attended or safety protocols you've ensured previously.

Mention your accuracy in record keeping and analytical skills .

Highlight teamwork and organizational skills . Regular duties need to be detailed to show how valuable your input was.

Lab Managers leverage administrative and scientific skills to optimize lab work.

Highlight your managerial skills such as project coordination, staff supervision, budget handling.

Detail prior experience in ensuring an efficient and productive laboratory environment.

Discuss your ability to comply with safety regulations, maintain equipment, manage inventory, and reduce downtimes.

Show your technical skills by mentioning project coordination and outcomes, eg.'Increased lab efficiency by 25% through improved processes'.

A competent Lab Technician blends technical, analytical, and organizational skills.

Highlight hands-on experience in conducting and interpreting lab tests.

Focus on your expertise in lab technology including hardware and software.

Convey your understanding of lab safety protocols and ethical considerations.

Adept handling of samples, precise record keeping and delivering accurate results should be emphasized. Reference to instances of 'improved lab efficiency, reduced errors' will be valid.

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Research Scientist Resume Samples

The guide to resume tailoring.

Guide the recruiter to the conclusion that you are the best candidate for the research scientist job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.

Craft your perfect resume by picking job responsibilities written by professional recruiters

Pick from the thousands of curated job responsibilities used by the leading companies, tailor your resume & cover letter with wording that best fits for each job you apply.

Create a Resume in Minutes with Professional Resume Templates

• Perform hands-on wet lab work to develop new workflows and assays or validate assays on existing and new instrumentation platforms
• Plan, execute, analyze and troubleshoot laboratory work related to analytical/pharmaceutical development
• Maintain a cutting edge awareness of technical developments and scientific knowledge and apply these where possible to improve performance
• Independently plan, execute and manage projects/programs that both span multiple disciplines and utilize established methods, techniques or approaches
• Provide oversight of junior-level Formulation Development colleagues to execute experimental plans and batch manufacturing
• Use scientific expertise to provide assistance to coworkers for troubleshooting
• Provide research and development support to product management, marketing, and quality departments
• Provide leadership in the development, delivery, and testing of organizational level interventions to improve the safety, health and wellbeing of workers
• Work with team to develop and execute development plan
• Performs investigative research and/or development work under the guidance of an Investigator, Associate Investigator or Assistant Investigator
• Drive the development of end-to-end data management solutions including database schema, database backup and management, and performance tuning
• Manage a team of national and international staff, including carrying out necessary HR tasks and assisting performance & development planning
• Establish new and improved ways to perform job by challenging established procedures
• Manage workload and time to perform multiple projects effectively, and ensure all necessary paperwork is completed on a timely basis
• Highly organized, with good attention to details, together with strong database skills for project tracking and planning
• Proficiency with SPSS, SAS, or R and basic ability using SQL Server or other database is desirable
• Excellent organizational skills and demonstrated ability to accurately complete detailed work
• Excellent written and verbal communication, work planning, data analysis and record keeping skills (with strong attention to detail)
• Strong collaboration skills and ability to thrive in a fast-paced environment, paired with the ability to work independently and prioritize work
• Strong motivation, independence, ability to work in a fast-paced environment and ability to support multiple projects simultaneously
• Excellent teamwork and communication skills. Attentive to detail. Good computer skills
• Ability to apply detailed knowledge of organizational procedures to make independent decisions and serve as a credible resource for a senior management team
• Excellent organizational and follow up skills with strong attention to detail
• Strong motivation, attention to detail, and ability to fully integrate into a high achieving team environment

15 Research Scientist resume templates

Read our complete resume writing guides

How to tailor your resume, how to make a resume, how to mention achievements, work experience in resume, 50+ skills to put on a resume, how and why put hobbies, top 22 fonts for your resume, 50 best resume tips, 200+ action words to use, internship resume, killer resume summary, write a resume objective, what to put on a resume, how long should a resume be, the best resume format, how to list education, cv vs. resume: the difference, include contact information, resume format pdf vs word, how to write a student resume, research scientist resume examples & samples.

• PhD in Economics, or International Development, Public Policy or Public Health with a similar curriculum in microeconomic theory and econometrics
• At least 5 years’ experience in a research, higher education or international development institution
• Demonstrated research skills, preferably in the form of peer review publications or similar achievements
• Demonstrated success initiating and leading research projects and proposals
• Familiarity with international development donors and funders desirable
• Experience collaborating with international partners in research projects desirable
• Develop Career Roadmap(s)
• Conduct and document Job Analyses
• Apply Kirkpatrick and Phillips evaluation models to measure the impact of learning interventions on job and organizational performance
• Apply appropriate evaluation and research models and methods to include data analysis, psychometric analysis, and trend analysis
• A Bachelor's Degree with 10+ years of relevant experience or a Master’s Degree with 8 or more years of relevant experience
• An active high level security clearance
• Minimum four (4) years’ experience conducting evaluation services in the following
• Educational program design and evaluation
• Two (2) years’ experience within past three (3) years in
• Using surveys, interview techniques, focus groups, data collection and analysis, survey management, report writing, and written/graphic presentations
• Data collection (both manual and electronic) and survey management logistics
• Data input and analysis
• Using univariate and multivariate statistics
• Analysis of qualitative and quantitative data
• Survey design, development, delivery, and implementation
• Report writing and written/graphical presentation(s)
• Training or appropriate education in Educational Research, Instructional Design, Industrial, or any directly related fields
• Design and build a first of it’s kind web ecosystem that drives the business, engages and inspires our passionate community of supporters, and meets the functional needs of our customers and partners
• Grow and refine your own skills and capabilities, surrounded by an elite team of like minded and mission driven individuals, all focused on creating best in class products and experiences
• Design and build a rock-solid Oculus platform server environment solution in quick pace. Follow through from project inception through design to detailed completion
• Regularly create and deploy a variety of products from large-scale web applications that will be used by millions of visitors all the way to small internal tools
• Strong focus on creating a positive experience for our customers and third-party developers
• Migration and Synchronization across our extremely scalable and fault tolerant distributed data solution
• Create self-starting EC2 AMIs that will work with EC2 auto-scaling
• Implement intelligent and proactive service monitoring to create measurable success
• Iterate on solutions based on internal feedback, plus feedback from publishing partners and customers
• Must have a MS or PhD in Computer Science, Computer Engineering or a similar technical discipline
• Minimum 6 months of post-grad experience with the following skillsets
• Security/privacy theory and practices
• Software development, code debug/tuning, ability to craft and integrate/debug solutions within existing frameworks/code
• C, C++ programming language proficiency, experience with x86 assembly
• System programming and debug (OS and/or VMM)
• Windows OR Linux/Android kernel internals/driver development
• OS Virtualization and VMM internals/development
• Linux/Android app/middleware development
• Workload power/performance tuning and analysis
• PHD/Master student in Computer Science, Engineering or related majors
• Good background in image & computer vision processing, familiar with OpenCV
• Have proven research experience in related field
• Strong C/C++ coding proficiency
• Fast learning ability & teamwork spirit
• Good English writing skills
• Must have already graduated with a PhD in computer science, electrical engineering or similar technical discipline
• Minimum 3 years of research experience in the visual computing realm to include the following skillsets
• Strong software engineering experience, demonstrated in publicly available software systems
• High-level mathematical background
• At least 7 publications in first-tier conferences (i.e, SIGGRAPH, IEEE, etc.)
• 5+ years of experience in the above skillsets
• 10+ publications in first-tier conferences
• Must have a PhD in Electrical Engineering, Computer Engineering or similar discipline
• Minimum of 3 years of post-doc experience with communications and signal processing
• Minimum of 3 years of experience with link-level and/or system-level simulations using C/C++ and Matlab
• Minimum of 2 years of experience with wireless standards such as 3GPP and/or IEEE 802.11
• 3+ years of industry work experience in the communications and signal processing area
• Prior experience with one or more advanced technology areas in 5G such as heterogeneous networks, interference management, multi-radio networks, MIMO, channel coding, radio resource management
• Knowledge of detection and estimation theory, Information theory and signal processing
• RF understanding and signal processing algorithm design
• Advanced prototyping and lab testing skills
• PhD in computer science or electrical engineering
• At least three publications in peer-reviewed international conferences
• Strong software engineering background
• Must already have a PhD in Computer Science, Computer Engineering or similar technical degree
• Minimum of 2 years of research experience (pre and/or post-doc) with two or more of the following areas
• Visual perception
• Motor control
• Multiple view geometry
• Vision-based control
• Three-dimensional modeling
• Optimization and machine learning
• Must have at least 2 years of experience and/or coursework in mathematical and software engineering
• Minimum of 5 publications related to the above listed areas of research
• 10+ publications
• Collaborative and team orientated - ready to jump in on whatever work is required to produce results
• Strong written and verbal communications skills, including the ability to deliver short technical presentations are needed
• Ability to multitask: participate in multidisciplinary research and collaborate with design
• Problem-solving skills: Determines computer user needs
• 3 months of experience in the following areas
• Software development in C++ with graphics shading languages and/or GPU compute languages (e.g. OpenGL and DirectX11)
• Developing advanced graphics algorithms such as: raster graphics, ray traced based graphics, global illumination, depth of field, motion blur or acceleration structures, etc
• Experience in designing task-, data-, and pipeline parallel algorithms and systems
• Experience creating real-time rendering effects using programmable shaders
• Familiarity with serial and parallel programming environments used in real-time rendering such as C, C++, TBB, CUDA and OpenCL
• Experience with performance analysis including using low-level tools like profilers for identifying performance issues
• Must have a PhD in Electrical Engineering, Computer Engineering or similar technical discipline
• Minimum 2 years of post-doc industry experience in IC and/or ASIC design and industry CAD tools
• Minimum 2 years of hands-on industry experience with silicon development cycle (preferably 22nm and below technology nodes)
• Post-doc research experience, including publications, in one of these areas of processor/SoC design and or CAD tools: System/processor architecture, Circuits and Power management, including integrated VRs
• Passion not just for conducting research but also for turning ideas into reality and impacting Intel and its customers
• High tolerance for a dynamic work environment with rapidly changing priorities
• Strong interpersonal and communication skills to closely work with wide variety of disciplinary backgrounds
• Positive, "can do" attitude, infections enthusiasm and confidence
• Strong analytical and logical problem-solving skills paired with wild creativity
• Ph.D. in Electrical Engineering, Computer Science or a related field
• Demonstrated knowledge and fluency in software development and hardware prototype development
• Strong background in computer graphics algorithms, optics, and human perception, and a strong understanding of how existing computational display research combines those to develop novel display systems
• Proven track record of developing novel computational display systems
• Knowledge of psychophysics and 3D visual perception
• Proposing novel ideas for enhancing usability of Intel platforms
• Conducting experiment to verify ideas using simulation and other means
• Presenting research for IPs and paper publication
• Tenacity to establish and carry out a superior research agenda
• Being self-driven
• Must have a PhD in Electrical Engineering, Computer Engineer or similar technical discipline
• Minimum 5 publication and/or technical presentation in major IEEE Conferences or Journals related to memory technologies
• Minimum one (1) year of experience with the following skill sets
• Computer architecture
• Memory research
• Circuit and architecture simulation
• Programming languages (i.e., C/C++, Java)
• Statistics principles
• 2+ years of experience with the above skill sets
• M.S. or M.A. in technical, design or artistic field
• Proven track record in proposing, developing, prototyping, iterating and evaluating novel media experiences based on research systems and capabilities not available "off the shelf"
• Demonstrated mix of skills in creative idea generation and design, software development, hardware prototyping, and evaluation
• Demonstrated knowledge and fluency with tools and languages for designing and building novel usages and experiences, such as: Adobe Creative Suite, Processing, Unity 3D, and Unreal Engine
• Ability to conduct user studies and user experience evaluation
• Willingness to work across diverse research technologies, including computational imaging systems, computational display systems, immersive displays, wearable computers, and head-worn displays
• Ph.D. in technical field
• Portfolio of experiences using novel media platforms such as head-worn displays, 3D displays, immersive displays, Augmented Reality, multimodal displays, or other advanced media formats
• Artistic or design background
• Research in circuits, architectures, and VLSI design of HW IP blocks, subsystems or full SoCs for ultra-low power wireless digital front-end/digital baseband signal processing systems
• Evaluation of multiple implementation options under given power/performance constraints for new usages and algorithms enabling innovative, energy-efficient SoCs
• Collaboration with wireless systems, algorithm, software, other hardware and backend teams to develop and prototype innovative HW/SW communications/wireless subsystems
• Able to translate usage specifications and requirements into design and implementation
• Able to drive technical tradeoff decisions to reach optimal designs in terms of power/area
• Excellent interpersonal and communications skills
• Fluency in English and solid presentation skills to internal and external audiences
• Candidate must have a PhD in Electrical Engineering or similar technical discipline or graduation from PhD in Electrical Engineering. Candidate must have 1 year of industry or academic experience in the following areas
• Digital circuits and systems design
• Digital/mixed-signal circuit design skills
• System Verilog/System C/Verilog/RTL/MATLAB
• FPGA for prototyping
• Lab testing, board design, and FPGA validation
• At least one digital/RF/analog/mixed-signal circuit tapeout completed in an advanced process technology
• Working knowledge and understanding of communication theory and signal processing
• Minimum 1 year of experience in digital front-end and digital baseband signal processing and circuit/VLSI design relating to next generation wireless systems in areas including but not limited to: MIMO, beamforming, interference mitigation, LTE, LTE-A, cognitive radio, ultra-low power wireless systems, IOT, wearable systems
• Core storage technologies such as; file systems, storage protocols, caching, distributed systems, etc
• Developing System & Application Software for Linux based systems
• C/C++ programming; especially developing multi-core/multi-threaded Software
• Software development, code tuning, ability to craft and integrate/debug solutions within existing frameworks/code
• Knowledge of machine learning technologies
• Master’s Degree or PhD in related health services, quantitative or analytical field
• Knowledge and experience with SAS
• Experience using various technical and analytical tools to manipulate and draw insights from large, complex data sets
• Strong verbal and written communication with the ability to communicate analytical data and insights to a wide variety of consumers
• Previous experience creating a research/analytical plan, completing in depth analysis on large data sets, communicating the outcomes or findings to others
• Substantial experience working with large and dynamic data sets
• 6 years or above experience in cloud platform research and development, including the cloud management, services, performance study, etc
• Deep understanding in OpenStack, CloudStack, CloudFoundry,etc
• Deep understanding in Linux operating system, virtualization technologies, e.g. KVM, VMWare
• Years experience on software architecture design
• Be active in OpenStack or related cloud open source community will be good plus
• With master or PHD degree in CS or EE
• Skillful in English listening, writing, reading and speaking
• At least 6 years experience in Cloud
• Experience in initiating strategic partnerships with companies and/or universities as well as experience with natural products discovery and/or molecular modeling in an R&D setting is a plus
• Self-starter that seeks out problems as much as their solutions
• Must maintain a professional attitude when working with both internal and external vendors and associates
• Bachelor’s degree in a scientific discipline, with 4+ years of postgraduate experience; OR Master’s degree in scientific discipline, with 2+ years of postgraduate experience
• Familiarity with laboratory testing for small and large molecules and procedures
• Comprehensive understanding of pharmaceutics, the development process and regulatory stability guidelines
• Strong technical report writing and organizational skills
• Conduct mechanical tests, including tensile and fatigue tests at elevated temperatures and thermomechanical fatigue tests on materials for powertrain components
• Manage testing and material characterization of fiber reinforced polymer composites
• Analyze test results to generate visco-plastic constitutive models and CAE fatigue durability models for automotive components
• Perform material characterization, metallographic and fractographic analyses using optical and electron microscopy
• Perform FEA stress analysis using commercial software such as ABAQUS and fatigue durability analysis using commercial software such as FemFat and nCode
• Document results in written reports and presentation of results to appropriate personnel
• A PhD (or masters with relevant experience) in Applied Statistics, Signal Processing, Computer Science, or related disciplines with sound technical expertise in one or more of the above mentioned areas
• Demonstrated ability to formulate scientifically challenging problems and develop and implement novel solutions
• Strong track record of publications; Excellent written and oral communication skills
• Develop new innovative technology solutions to research problems and demonstrate solutions and prototypes
• Work in close collaboration with internal and external customers as well as partners to develop and deliverinnovative technology solutions
• Identify new research opportunities and formulate relevant technical problems
• Develop strong collaborations with colleagues across Xerox Innovation Group (XIG) as well as partners from academic institutions in areas of mutual interest
• Senior Research Scientists and Senior Research Engineers are expected to lead technical initiatives and mentor colleagues
• A PhD (or masters with relevant experience) in Computer Science, Information Systems, Applied Statistics, or related disciplines with sound technical expertise in one or more of the above mentioned areas
• Senior Research Scientists are expected to lead technical initiatives and mentor colleagues
• Deep knowledge and experience in one or more topics of Image and Video Processing, Speech and Audio Processing, Data Mining, applied Machine Learning and Statistics
• Knowledge of various aspects of multimedia content processing including data capture, manipulation and analysis
• Excellent analytical skills as well as oral and written communication skills
• Self-motivated, to be able to thrive in a fast paced, research-focused, collaborative environment
• Ability to work hands-on with minimal supervision or assistance in at least one programming language such as Java/C and scripting languages such as Perl/Python/Matlab
• Experience with data processing and analytics packages such as R, Weka, RapidMiner, openCV, etc
• Ph.D. (Masters) in computer science, computer engineering, electrical engineering, or a related engineering or science discipline from top tier institutes for Senior Research Scientist and Research Scientist. Proven track record of research excellence will be given preference
• Engages in innovative Science and Technical Project work
• Identifies problems, proposes and implements solutions as an individual or as part of a team
• Creates and defines independent research targeted to the benefit of IBM
• Provides technical guidance to other professionals and/or acts as team leader on special projects
• Strategically plans one or more projects and meets schedules and deadlines
• Participates in or leads one or more inter-department / division projects
• Functions as an internal consultant in the areas of professional expertise
• Expands knowledge and awareness beyond field of expertise where relevant and appropriate to project(s): i.e.: other technologies and business topics
• Keeps abreast of competitive technologies and leading edge research
• Understands and supports division level strategies, business plans and cross-divisional strategies
• Demonstrates an understanding of IBM's product offerings, strategies and plans
• Creates intellectual property and patents of importance to IBM
• At least 5 years experience in research science
• Serves as a key research scientist who is recognized as a national authority on topics in specialized field. Acts more independently and with a greater degree of freedom than senior research associate. Plans, designs and conducts highly specialized, technical and unusually complex research projects independently. Works under consultative direction from supervisor toward long-range goals and objectives. Exercises considerable latitude in determining research objectives and approaches. May contribute to the development of advanced concepts, techniques and standards
• Identifies, researches, compiles and evaluates data sources, background information and/or technology related to area of specialization
• Analyzes and evaluates research data utilizing computers and provides interpretations requiring significant knowledge of a specialized area of research. Searches literature, utilizing all available resources including electronic, regarding new methodology and designs experiments accordingly
• Develops solutions to wide-range of research problems of unusual complexity, which require a high degree of ingenuity, creativity and innovativeness. Creates or modifies methods and techniques for obtaining solutions. Ensures solutions are consistent with research objectives
• Develops research documentation for publication alone or with others and/or prepares technical reports, papers and/or records that show independent thinking and leadership in scholarly writing
• Makes presentations at academic and/or practitioner conferences. May participate in workshops
• Operates and maintains sophisticated laboratory/scientific equipment
• Provides leadership, direction and guidance to staff and/or student workers regarding procedures, techniques and use of equipment as needed
• Master Degree in health economics, statistics, or other related quantitative and analytical focused field
• 3+ years’ experience working with in depth outcome research and analyzing complex data sets
• 3+ years’ experience using SAS, SQL and various analytical tools to manipulate and draw insights from large, complex data sets
• Demonstrated experience creating study designs, conducting in depth analysis and interpreting and communicating research findings to diverse audiences
• Demonstrated experience in project management of teams across multiple functional areas
• Strong interpersonal savvy and the ability to build relationships both internally and with customers
• PhD in health economics, statistics, or other related quantitative and analytical focused field
• 5+ years’ experience in outcome research
• 5+ years’ experience in healthcare industry
• 3+ publications in peer reviewed journals
• Extensive experience working with clinical, claims, pharmacy, electronic medical record or other healthcare data
• Ability to thrive in fast-paced environment
• Bachelors’ Degree in health services research, statistics, quantitative social science or related analytical focused field
• Experience using SAS; Previous experience completing research projects and technical analysis
• Experience using various technical and analytical tools to manipulate data
• Strong verbal and written communication with a proactive approach to sharing information and solving problems
• Previous experience creating a research/analytical plan, understanding of the research project cycle
• Ability to translate analytical information into key insights
• Excellent communication skills; ability to write clearly and concisely; excellent interpersonal skills to establish professional working relationships with colleagues and site personnel
• Must have attention to detail; ability to prioritize, think independently, implement solutions and meet timelines
• Good computer skills are essential. Must have expertise in working with MS Excel and PowerPoint, basic knowledge of statistics a plus
• Ability to function as a team player working in a highly matrixed environment
• Assist in designing biomarker strategy for multiple projects in collaboration with Research
• Select relevant biomarker assay platforms and oversee testing by clinical teams by providing technical and tactical input
• Assist with data analysis related to disease indication selection and in preclinical animal models
• Manage the development and validation of clinically applicable biomarker assays and may seek external service laboratories for specialized assay development
• Collaborate with Biomarker Biostatistics and Bioinformatics groups on data analysis
• Participate hands-on in the lab to facilitate and assist with biomarker assay development, testing and/or validation
• Collaborate with Biomarker Lead Scientists and Clinical Operations by providing biomarker requirements to Clinical Operations for sample collection, handling and analysis for clinical studies
• Review and contribute to biomarker sections of clinical protocols, lab manuals, and clinical study reports as needed
• Oversight of one or more research associates may be required
• PhD in Immunology, Cell Biology, Molecular Biology or related discipline
• Minimum of 4 years of post-doctoral experience focused on innovative research in immunology or biology with proven achievements in a pharmaceutical, biotech, or academic environment
• Must think critically and creatively, be able to work independently, determine appropriate resources for resolution of problems, and apply an advanced level of understanding of project goals and methods
• Must have biomarker expertise in one or more of the following therapeutic areas: inflammation, immunology, autoimmune disease, fibrosis, respiratory disease, or oncology
• Experience with the discovery, characterization, clinical validation and utilization of innovative biomarkers and potential diagnostics
• Direct laboratory experience with biomarker identification, selection and testing in cell lines and/or primary samples including whole blood and tissue
• Experience with multiple assay platforms including flow cytometry, ELISA, qPCR, Western, and RNAseq
• Must have strong organizational and planning skills, be able to multi-task, manage multiple projects simultaneously and work effectively within a team environment
• Experience in development, outsourcing and validation of clinically applicable biomarker assays is desirable
• Managerial experience a plus
• Assist research teams in making effective use of FPGAs to accelerate their applications
• Develop, port, optimize and analyze scientific numerical codes to run on FPGAs using OpenCL, VHDL/Verilog, and other languages
• Install, upgrade and lead day-to-day operations for platform infrastructure including hardware, mathematical software packages, libraries, compilers, visualization software, etc
• Promote, provide technical consultation on, and teach workshops on FPGA programming
• Minimum 3 years experience using and developing on FPGAs with VHDL/Verilog
• Experience and theoretical understanding of scientific numerical algorithms and/or big data algorithms
• Minimum 3 years programming experience in C/C++
• Minimum 2 years using Unix/Linux
• Proven communication skills, both written and verbal
• At least 3 years experience in Field Programming Gate Array (FPGA)
• Advances state of knowledge in agent-based models of interactive narrative and collects and analyzes behavioral data, and disseminates the results through AI conferences and journals
• Develops solutions to wide-range of research problems of unusual complexity, which require a high degree of ingenuity, creativity and innovativeness. Creates or modifies methods and techniques for obtaining solutions. Ensures solutions are consistent with research objectives. Identifies researches, compiles and evaluates data sources, background information and/or technology related to area of specialization
• Makes presentations at academic and/or practitioner conferences. May participate in workshops. Provides leadership, direction and guidance to staff and/or student workers regarding procedures, techniques and use of equipment as needed
• BS or Advanced degree in Biology, Biochemistry, Cell and Molecular Biology or related discipline with at least 2 years lab experience (experience with cell and tissue culture techniques a plus)
• Exceptional written and verbal communication skills. Experience with technical writing/scientific communication is a plus
• Thorough and detail-oriented, have excellent organizational, documentation and time management skills and able to function well in a matrix environment
• Excellent interpersonal skills with the ability to work well with all levels of internal staff
• Must maintain a high degree of flexibility to accommodate fluctuating scheduling requirements under tight time constraints
• The ideal candidate will combine strong technical skills with a passion for products, and the ability to present complex scientific concepts to a wide variety of audiences from subject matter experts to layman
• Design and implementation of computer and sensor architectures and interfaces
• System integration of sensors, actuators, and by-wire vehicle controls
• Development of novel algorithms for sensor signal processing, sensor fusion, feature extraction, classification and tracking, localization, 3D mapping, route planning, motion planning, obstacle avoidance, etc
• Simulation studies, including Hardware-in-the-Loop scenarios
• Code optimization to migrate prototype algorithms to automotive/embedded systems
• Artificial Intelligence
• Information Retrieval and recommendation
• Speech Signal Processing
• Multimedia Information Processing
• Human-Machine Interaction
• Online and offline sensor data analytics leveraging Cloud computing infrastructure
• Performance & scalability optimization of analytics system on top of Cloud platform
• IoT solutions’ rapid development technologies
• Outstanding academic track-records demonstrated by high quality publications and research work
• Experience in big data analytics (such as realtime analytics, graph analytics, context aware computing, machine learning, etc.)
• Excellent programming and system development skills
• Self-motivated, responsible, good team-work and communication skill
• Experience in cloud computing and industry is a plus
• Masters’ Degree in health services research, statistics, quantitative social science or related analytical focused field
• PhD in related health services, quantitative or analytical field
• Substantial experience working with large and dynamic data set
• Designing and overseeing the evaluation of new molecular targets, therapeutic concepts, and therapeutic agents for HBV Cure
• Identifying and supporting relevant external collaborations and evaluations of business development opportunities in areas applicable to HBV cure
• Building internal expertise in in vitro HBV infection models and regulation of HBV expression
• Introducing new tools, assays, and models relevant to HBV infection and treatment
• Participating in multidisciplinary team efforts including leading specific parts of projects
• Presenting regular research updates to project teams and R&D management
• PhD or equivalent degree in virology or relevant scientific discipline and a minimum of 2 years of post-doctoral experience with proven successful research in industrial or academic settings
• In-depth knowledge of virology preferred. Knowledge in the area of epigenetic regulation and/or viral gene regulation a plus
• A strong applicant will have extensive skill sets in cell biology, molecular biology and assay development
• Strong motivation, independence, and ability to work in a high-pace multidisciplinary environment with minimal supervision
• Ability to think independently and fully integrate into a high achieving team environment
• Building internal expertise in in vitro HBV infection models, cccDNA regulation, and HBV-host interactions
• Identifying highly infectious HBV molecular clones and establishing efficient HBV reporter viruses
• Designing and executing experiments to identify host factors that are essential or restrictive for HBV infection
• Improving HBV infection virus spread/passaging and enabling virus resistance selections in hepatic cell lines and/or primary human hepatocytes
• Contributing to drug target identification/validation and drug discovery research
• Identifying, establishing and managing external collaborations and evaluating business development opportunities
• Participating cross-functional projects and leading a critical aspects of projects
• PhD or equivalent degree in virology or a relevant scientific discipline plus a minimum of 2 years of post-doctoral experience with proven successful research in industrial or academic settings
• In-depth knowledge in molecular virology, reporter assays and method development are pluses
• Strong technical skills in the area of cell and molecular biology
• The ability to independently conceive and evaluate new scientific ideas and technologies
• Ability to effectively participate in and lead cross-functional teams
• Optics and Photonics
• Informational Technologies and Computer Systems
• Nanotechnologies and Advanced Materials
• Automatic Control and Signal Processing
• Candidates for ITMO’s Early Career Fellowships should have experience of working in recognized universities, research institutes or centers or R&D companies
• At least 10 papers in the last 5 years
• Track record of outstanding research and evidence of delivering impact
• Shows a strong awareness of the international context of the research and early signs of evidence of recognition in the community on an international scale
• Evidence of leadership ability or potential within the research community
• Has experience of identifying, exploring and developing research opportunities more broadly and across different interfaces
• An awareness of how to position him or herself to take up these opportunities and an ability to make decisions to deliver this vision
• At least 4 papers in referred journals co-authored or accepted for publication per year
• At least 1 conference as a speaker per year
• Supervision of ITMO students: 2 MSc students and 1 PhD student
• Name, title, institutional affiliation, address, mobile phone number, field of research
• List of publications (published and pending)
• Research proposal (NB It should be linked to one of our existing strategic research priorities and current research activity, or groups, at ITMO University)
• Names of three referees (who should be acquainted with the candidate’s current or most recent research work)
• Scientists will be expected to design and implement novel experiments or quasi-experiments, and develop new methods for causal inference
• PhD in statistics, political science, economics, biostatistics, or related field, and a strong passion for applied problems in causal inference. Candidates should be familiar with the potential outcomes framework
• At least 2 years of hands-on research experience with an empirical problems in the social or biomedical sciences, or in the Internet industry
• Scientists should be proficient in R
• At least one of the following
• Work collaboratively to design, build and maintain an integrative data platform from administrative claims and other data sources to support HEOR research and reporting
• Work collaboratively to optimally apply data warehouse and BI architecture, data science and visualization tools and techniques (i.e. dashboards)
• Work collaboratively to design and conduct HEOR research studies
• Identify and understand business and clinical issues to map these issues into quantitative questions
• Design scientifically valid studies to answer relevant questions
• Explore relevant data sources to understand what metrics can be produced
• Coordinate the integration of data to determine clinical and economic trends and impact
• Work with complex health care databases to produce statistical output and interpret results
• Report results for studies through presentations, abstracts and publications
• Communicate insights and analytical findings to a broad range of audiences
• Prior experience with data visualization tools (i.e Tableau, Qlikview, other)
• Excellent analytical, problem solving and troubleshooting abilities
• Experience with data warehousing design, BI and development to include implementation of standards and best practices for data modeling, describing relationships between data elements, meta data, data quality and governance
• Familiarity with big data languages R, SQL, No SQL, Python, Perl, C/C++, C#, ASP.NET
• Experience in developing OLAP cubes in SAS or SQL
• Experience with the development and documentation of common data models(e.g., OMOP, Mini Sentinel)
• Develop and lead software prototype development quickly to validate interactions and prove product designs
• Work closely with UX designers, back-end engineers and mobile developers to implement versatile solutions to tricky development problems
• Maintain and contribute to existing internal software framework from mobile to backend and look for continuous improvement opportunities
• Manage there own time, and work well both independently and as part of a team
• Providing coding expertise, launch, iterate and make a difference along with participating in software code reviews
• Strong English writing ability in technical papers
• Ph.D. or Master Degree in related disciplines including: Computer Science, Electrical Engineering, Automation and Applied Mathematics, etc
• Research experience in one or more of the following areas: Machine Learning; Artificial Intelligence; Natural Language Processing; Information Retrieval and Recommendation
• Chinese Natural Language Processing/Understanding and Dialogue Management,
• Product Recommendation,
• Image and Video Analysis,
• Knowledge Representation and Reasoning,
• Machine Learning,
• User Interaction and Visualization
• Machine Learning, Deep Neural Networks, Restricted Boltzmann Machines (RBM), Stochastic Optimization, Time series statistical models such as Hidden Markov Models, Kernel Techniques and other Discriminative Models. Machine learning as applied to physiological signals (heart rate, respiratory rate, facial expressions, emotions) detection and recognition with applications in Healthcare
• Large scale and efficient Research Prototype System Development, Large Vocabulary Speech Recognition System, Linear Algebra (BLAS, LAPACK) and other Numerical libraries. Excellent programming skills in C++, Python and Shell, Perl scripting
• Additional requirements include outstanding communication skills and the ability to collaborate effectively with other researchers and product development teams
• Ph.D. (Masters) in computer science, computer engineering, electrical engineering, or a related engineering or science discipline from top tier institutes for Senior Research Scientist and Research Scientist (Senior Research Engineer). Proven track record of research excellence will be given preference
• Cognitive IoT Acoustic Analytics
• Ph.D or Master with following research background
• Machine Learning or Data Mining
• Acoustic, Speech Recognition or Digital Signal Processing
• Graph Theory and Application, Graph Signal Processing, Sensor Network Processing, Blockchain or Social Network Analysis
• Survey relevant technologies and stay abreast of latest developments in those
• Make research contributions including preparing reports, papers for publication, presentation, and technical documents
• Participate in relevant conferences, workshops and other academic-industrial events and prepare reports for attended events
• At least 2 years of relevant experience in industry is preferred, but recent graduates are great as well
• Publication in at least one top-tier computer vision conference such as CVPR, ICCV
• Hands-on experience with Deep Learning for computer vision
• Strong background in computer vision algorithms, low level vision, applied machine learning
• Strong programming skills in C++, Python
• PhD in Sociology, Demography, Public Health, or related field
• Demonstrated research skills, preferably in the form of peer reviewed publications
• Demonstrated success initiating and leading research projects and grant proposals
• Function at the expert level under the general direction of Data Lead to develop and implement quantitative models, analytics and tools necessary to support business objectives
• Collaborate with IT and other business teams and work with large scale structured and unstructured data and fuse them with other enterprise data sources (such as claims, demographics) to predict, quantify, and/or forecast various business/health metrics
• Acts in a lead capacity on complex assignments, or can work independently or on a team as a high level technical specialist
• Provides interpretation and explanation of the results of a business intelligence and/or analytical effort
• Analyze structured and unstructured data, or data depositories using statistical models and provide recommendations for optimal business decision making
• Ensures integrity of data to meet requirements and anticipate and correct potential issues
• Minimum 3 years of experience with design and development using Analytical tools like SAS, Qlikview
• Experience in programming languages like Structured Query Language (SQL)
• Must be familiar with building data extracts, ability to determine data patterns from structured and unstructured data
• Must be able to analyze large amounts of data and provide summaries
• Good communication skills and ability to work with cross-functional team members
• Demonstrated ability in problem solving and think independently
• Ability to thrive in a dynamic and fast-paced environment
• Experience in data manipulations including the usage of basic standard SAS procedures
• Experience with Data Mining, Data Discovery, and building Predictive Models
• Experience with SAS STAT software including the creation of variance and predictive models; Analysis of Variance; Regression Analysis; and Multivariate Analysis
• Implementing Big Data analytics for structured and unstructured Data
• Experience in programming languages like Python
• Health care industry experience is a plus
• Smarter Cities: Research and development in technologies that will improve traffic flow, water management including water source (solar evaporation), distribution (high-precision weather modeling, water flow in ground and underground rivers), the effects of contamination, storage systems, the consumption of water, and energy (smart grid, renewable energy etc.)
• E-Government: Innovations in the areas of Open Data, Shared Services, Public Service Delivery, Security and Analytics Applications
• Mobile Commerce: Develop mobile technologies that matter to the African market
• At least 3 years experience in realizing technologies and as an entrepreneurial spirit
• At least 3 years experience in engineering background focused and specialization on traffic, water management, or energy management
• At least 3 years experience in as a research scientist manifested in a solid publication record and patents
• At least 5 years experience in realizing technologies and as an entrepreneurial spirit
• At least 5 years experience in engineering background focused and specialization on traffic, water management, or energy management
• At least 5 years experience in as a research scientist manifested in a solid publication record and patents
• PhD with a proven track record in Computer Science but are open to related areas such as EE, Mathematics, Physics, etc. Also, scientists with an engineering background focused and specialization on traffic, water management, or energy management are welcome to apply
• Research scientist manifested in a solid publication record and patents
• MS in computer science (PhD preferred) or equivalent experience
• Extensive experience with Big Data storage and analysis technologies, such as Hadoop, data warehouse platforms and NoSQL solutions
• R&D background in machine learning, statistics, or information retrieval
• Industry familiarity in the computational advertising space, in particular around areas such as audience modeling and extension or real-time bidding, is a big plus
• Strong programming skills in Java, Scala, or Python
• Experience with common data analysis tools, such as R
• Proven track record of turning prototypes into live production systems with measurable business benefits
• A demonstrated record of delivering projects in the face of significant ambiguity
• Excellent communication skills in English
• 1+ years of relevant experience
• Analytical bent of mind
• Excellent programming skills (including for Android/iOS)
• Great team spirit
• Inclination to interact with academic and professional communities
• Interest in translating business problems to research
• Bachelor’s Degree in Psychology, or a directly related field with an emphasis on assessment and evaluation research design, methods and analysis, and 4 years of experience. In lieu of a Bachelor’s Degree, an additional 8 years experience is required for a total of 8 years’ experience
• Minimum 4 years experience in the following: Training or appropriate education in Research Psychology, Social Psychology, Cognitive Psychology, Industrial or Organizational Psychology, or any other related fields with an emphasis on assessment and evaluation research design, methods, and analysis
• Implementing needs assessment and evaluations focused on human performance
• Minimum 4 years experience conducting survey services. 2 years experience within the past 3 years in the following: Survey consultation and research development, interview techniques, focus groups, data collection and analysis, survey management, report writing, and written/graphic presentations
• Current and active High Level Government Clearance
• Demonstrated performance in interview techniques, survey design, focus groups, data collection and analysis, report writing, and written/graphic presentations
• Work closely with engineering teams to identify and answer important product and business questions
• Answer product and business questions by using appropriate optimization, game theoretical, and statistical techniques on available data
• PhD in computer science, operations research, operations management, economics or related fields or 4+ years experience in a related role
• Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from various sources
• A strong passion for empirical research and for answering hard questions with data
• Fluency with programming and scripting languages such as C++, Python or PHP
• Fluency with mathematical programming tools and optimization software such as GUROBI, CPLEX or XPRESS
• Expert knowledge of an analysis tool such as R, Matlab, or SAS
• Experience working with data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)
• Designing and implementing new mobile applications
• Collaborate with engineers and designers to create innovative user experiences
• Work closely with UX designers, back-end engineers and mobile developers to implement versatile prototype solutions
• Develop prototypes quickly to validate interactions and prove product designs
• Optimize applications for usability and modularity
• Build libraries and frameworks that support externally developed client applications
• Create public-facing documentation to support external and internal developer community
• MA/MS degree in Computer Science or related technical field or equivalent practical experience
• Programming experience in Objective-C and iOS Mobile Development
• Experience in mobile application development
• Specialist domains: Embedded/device systems, third party libraries for Android, automated testing frameworks such as UI automation, mobile optimized websites and mobile web browsers
• Knowledge of UI and animation frameworks
• Targeted programming experience in Objective-C and/or Java
• Strong foundation in computer science, with strong competencies in data structures, algorithms and software design optimized for embedded systems
• Experience collaborating with user researchers, engineers and developers
• Recently completed PhD degree program in computer science, computer engineering, electrical engineering, mathematics, or equivalent field with a focus on security
• Experience in one or more of the following areas: mobile and distributed systems/cloud computing security, protocols and network security, cryptography and cryptanalysis, payments and cryptocurrencies, data and application security, malware and program analysis, user and data privacy, assurance and formal methods, and related fields
• Strong track record in research publications and impact in the research community is a plus, but not required
• Optical properties of soft matter or particles
• Experimenter and Data analysis
• Modelling scenes and physically based optical simulation tools
• Computational schemes (including HPC)
• Image synthesis and 3D imaging
• Neural Networks, Deep Learning, Convolutional Networks, Machine Learning, Pattern Recognition, Statistical Learning, or Probabilistic Graphical Models
• Mapping neural networks to custom hardware
• Experience developing, testing, and deploying systems for image processing, speech, robotics, medical imaging, or other real-world applications
• Information theoretical system models, high dimensional non-linear dynamical systems, complex adaptive systems
• At least 1 year experience in MATLAB and C++
• At least 1 year experience in machine learning
• Basic knowledge in large scale neural networks
• English: Intermediate
• At least 2 years experience in machine learning
• At least 2 years experience in large scale neural networks
• English : Fluent
• PhD in Atmospheric or Environmental Science, or a related field (e.g., Meteorology, Hydrology, Geomatics, Mathematics, Computer Science, Physics, Geography, Engineering, Earth Sciences)
• Experience in using land-surface models, permafrost models, or using data from climate re-analyses
• Very good standard of written and spoken English
• Experience in a multi-disciplinary environment
• Personal skills and certifications in areas such as wilderness travel or mountaineering as are very welcome
• PhD/DPhil in Computer Science, Engineering, Physics, Chemistry, Biology, Mathematics, Biochemistry, Bioinformatics or similar disciplines
• Experience with High Performing computer systems
• Perform Scientific Research
• Develop Technical Positions/Findings
• Tribology, adhesion, nanophysics and surface – interface Science
• Knowledge & experience of keratinaceous (wool, silk , hair) materials
• Practical experience in Biophysics domain is highly relevant
• Capacity to work in a team with people having very different backgrounds (chemistry, physics, physico-chemistry , biology, evaluation and formulation)
• Ability to build and maintain a network and to federate people around projects
• Ability to design, build and manage scientific projects in close collaboration with internal and external partners
• Good communication/reporting skills with the management line and co-workers (experts and non-experts)
• Scientific rigor, Reliability
• Ability to have and share his/her convictions or visions
• Open mindness, intellectual curiosity
• At least 10 years experience in semiconductor technology research and development
• At least 10 years experience with bipolar device physics, operation, and characterization
• 5 years experience in Terra-hertz frequency device operation
• 5 years experience in Product qualification
• 10 years Research experience
• PhD Degree in any of the following domains: Robust Control, Queuing theory, Convex optimization, Stochastic control, Game theory , Optimization under uncertainty, Distributed control and optimization, Nonlinear optimization, Natural Language Processing
• Strong publication record in top-tier research conferences and journals
• At least 3 years’ experience in programming in Java or C++
• Excellent technical skills, interest in code development
• Willingness to go beyond scientific investigation by building assets for our clients and business units
• Work with business development teams to ensure that solutions have an impact
• Ability to communicate and work effectively as part of a team
• Achieve impact in an applied research lab through projects, scientific publications and patenting
• Strong interest to tackle problems arising from real-world applications
• Experience in one of the following domains: Automotive, traffic, power systems, internet of things
• Strong software engineering and development skills
• Experience with H2020 projects
• Lead, coordinate, and conduct research projects focusing on reading and literacy development with a focus on Pre-K through 3rd grade
• Advise and collaborate on the development of assessment and curriculum and on effective change programs for schools across the US
• Conduct reviews of relevant literature to support the research foundation of current products, inform the design of research and evaluation studies, and contribute to product development
• Liaise with academic experts in the fields of early literacy, neuroscience, and cognitive psychology
• Draft high-quality internal and external reports and presentations for workshops, conferences, blogs, etc
• Raise the level understanding of early literacy across internal staff
• Ph.D. (or ABD) in the social sciences (e.g., education, psychology, or linguistics) focusing on literacy development
• 2+ years of experience with experimental design, research project management, curriculum design, and educational measurement
• Proven knowledge of the science of reading development and instruction, including evidence-based instructional practices, interventions for struggling readers, RtI, and differentiated instruction
• Demonstrated success in developing partnerships both inside and outside an organization
• 2+ years of experience in working with product teams in early literacy
• Proficient written and verbal communication and presentation skills
• The basic and translational research focus of this laboratory includes epigenetic mechanisms involving histone deacetylases, methyltransferases and demethylases, heat shock proteins and their cancer and leukemia-relevant client proteins, as well as transfection and functional analyses of genes regulating cell death/survival of human cancer cells. Experience in animal studies involving NOD/SCID or nude mice, and mouse imaging (xenogen and MRI) is highly desirable. Experience in molecular techniques involving plasmid DNA preparations and transfection, the analysis of gene expression including QPCR, microarrays, chromatin immunoprecipitation, evaluation of protein biochemistry with 2D gels, animal models, the yeast-two-hybrid system, confocal microscopy and tissue culture are also preferred
• Requires knowledge of standard radiographic techniques. Dark room usage is essential as is use and proper handling of radioisotopes
• Assemble samples, reagents, dry or wet ice, data and packaging materials; draft a cover letter, accurately and legibly fill out shipping labels; carry package to receiving area on ground floor prior to pick up. Keep accurate legible logs of outgoing and incoming packages. For incoming packages, ascertain contents, store at appropriate location, file information sheets and notify principal investigator. Update pertinent inventory logs
• Compiles, writes, and submits reports to superior. Plans and supervises the training of technicians and other laboratory personnel with respect to proper laboratory techniques, the use of laboratory equipment, and safety procedures
• Presents findings of data to PI and prepares scientific documents for publication. Presents findings of research projects to professional groups and prepares scientific documents for publication
• Performs related work as required
• Research and develop cutting-edge technologies to support distributed payment technology that is highly scalable with high transactions throughput
• Advance the development of Visa Transaction Platform to bring cash based transactions to electronic payment system
• Collaborate with team members to deliver innovative technologies, insights and products to Visa business units to resolve their significant product pain-points and create new growth opportunities
• Collaborate with our partners in academia, industry and government on key initiatives to advance our big data research agenda
• PhD degree in computer science, statistics, mathematics, or equivalent field is MUST
• Expertise in distributed database, mobile payment and security technology is required
• Strong track record in research publications and impact in the research community
• Doctoral (preferred) in Electrical Engineering or Computer Science
• Strong publication record in top-tier conferences and journals
• Ability to conceive and architect large-scale systems that include both hardware and software components
• Deep knowledge about tradeoffs (scalability, performance, cost, security, reliability, etc) in designing/building large-scale systems
• Some embedded systems experience
• Some exposure to energy systems and energy issues
• Solid understanding of algorithms and data structures
• Experience in building large-scale systems using C/C++/Java, preferably on Linux
• Good experience with design/development/documentation/version control tools
• Ability to work with a diverse team with a broad spectrum of skills
• 0 to 10 years of relevant work experience
• Experience in Machine Learning, Data and Text Mining, Natural Language Processing, Information Retrieval, Information Extraction
• Strong academic and publication record
• Excellent programming skills
• Strong communication skills with fluency in English
• Ph.D. in Computer Science, Electrical Engineering, Statistics, Mathematics, or related fields, a strong academic record with publications in top conferences and journals, and research experience and familiarity with our department focus areas
• Pursue solutions for re-lightable video, and develop photoreal digital characters operating in real-time VR; develop faster algorithms for 3D geometric reconstruction of image based sequences, and transfer lighting reflectance to new footage
• Will research hybrid tracking of high resolution dynamic facial details and high quality body performance for virtual humans
• Serves as a key research scientist who is recognized as a national authority on topics in specialized field
• Analyzes and evaluates research data utilizing computers and provides interpretations requiring significant
• Carry out AI related research work
• Cooperate with other researchers in identifying needs, defining the research topics and the outcomes
• Introduce state of the art methods using deep learning, NLP, and cognitive computing
• Collaborate with other researchers in the lab
• MsC or Ph.D in computer science or related fields doing research in the fields of machine learning, deep learning, computer vision, NLP, cognitive computing
• Good knowledge of the field, being up to date on the state of the art
• Good analytic skills
• Experience in implementing algorithms using Python, Java, C++
• Experience in implementing algorithms using GPU
• Team player cooperating with other researchers in the lab
• Conduct industrial research to develop structural and functional ceramic materials and coating solutions for GE products for application in Aviation, healthcare, oil and gas, energy, lighting, transportation, and water markets
• Conduct industrial research to develop processing and net-shaping methods for ceramic, composite, and functional materials
• Develop processes to make coatings for environmental, thermal, or other barrier applications
• Use experimental methods to understand processing-microstructure-property relationships and how these apply to the structural ceramics coatings
• Work closely with global research teams to build strong collaborations
• Develop and/or use advanced ceramic synthesis and processing techniques to deliver on needs with deep technical rigor
• Work independently and in cross-functional teams to apply ceramic expertise in developing new technology solutions for GE
• Invent and patent when appropriate
• Deliver effective presentations, reports, publications to GE Global Research, GE businesses and professional societies
• Doctorate in Materials Science and Engineering, Ceramics or chemical Engineering with at least 2+ years research experience in ceramic processing
• Deep understanding and working knowledge of ceramic synthesis, ceramic processing, solid-state reactions, sintering, coatings and phase equilibria
• Experience or strong interest in processing-structure-property correlation
• Good publication and/or patent record
• Should be able to quote clear past examples for the following
• Innovative thinking and implementation of ideas
• Application of rigorous research methodologies
• Challenging scientific theory and pushing the envelope of understanding
• Passion for science and technology especially materials used in advanced engineering systems
• Good teaming skills and ability to work with wide range of technical teams and projects
• Ability to work independently and in multi-disciplinary teams
• Doctorate with at least 2 years industrial experience in ceramic processing
• Working knowledge and hands on experience with characterization tools, such as optical and scanning electron microscopes, X-ray diffraction and thermal analysis methods
• Plan and execute cutting-edge research to advance real-time hand tracking from various sensors
• PhD degree in Computer Science, Computer Vision, Machine Learning, or related technical field
• 4+ years designing and developing Computer Vision technology
• 3+ years of experience engineering in C++, including systematic evaluation design
• 2+ years experience developing machine learning, Bayesian filtering, information theory, and 3D geometry algorithms
• Proficiency with convolutional neural networks and recurrent neural networks
• Experience with real-time systems preferable
• MS or PhD in Computer Science, Computer Engineering, Electrical Engineering or similar
• Java family of languages
• Knowledge of build systems like maven
• Knowledge of Intel architecture and processor, in particular memory management
• One or more core storage technologies such as: file systems, storage protocols, caching, etc
• Experience with parallel and distributed programming frameworks like SPARK
• Experience with machine learning applications, graph libraries and algorithms
• Experience with media processing, GPU/accelerator code development and scheduling
• Minimum of 2 years of research experience with two or more of the following areas
• Visual data processing
• Machine reasoning
• Strong software engineering experience demonstrated through publicly available software systems
• At least 7 publications in first-tier, highly selective international conferences such as CVPR, ICCV, ECCV, ICML, NIPS, or SIGGRAPH
• Familiar with R & D process and system operation
• Familiar with the actual operation of GDP and GLP, as well as the requirements of ICH
• Good English communication skills
• With laboratory skills, writing skills, and computer skills.Biology
• Perform research studies with tools in optics, nanotechnology, and microfluidics
• Develop and prepare microfluidic devices using a variety of standard microtechnology techniques
• Develop and construct instrumentation, such as optical instruments for interfacing with microfluidic devices
• Culture mammalian cells in vitro using sterile tissue culture techniques (e.g., cell growth and maintenance, cell passage, cell cryo-preservation, cell microscopy)
• Develop and implement molecular assays, such as PCR and isothermal amplification based genetic analysis, or immunoassays, or cellular assays
• Analyze genetic materials and proteins and cells using a variety of standard or locally-developed methods
• Independently evaluate, troubleshoot, and apply ideas and standardized scientific procedures and techniques for the above tasks
• Conduct experiments in the laboratory, including taking measurements and recording observations, and collecting, compiling and processing and interpreting data
• Consult Professor Chiu concerning unusual problems and developments
• Monitor the work of junior research personnel to ensure that correct procedures are followed. Provide direction to assure that technical tasks and projects are completed in a timely manner
• Participate in the preparation of papers, presentations, and other scholarly reports. Present findings at scientific conferences, technical meetings, and presentations for research sponsors
• Participate in the preparation of new grant and contract proposals to secure research funding. Assist in assessment of cost, scope and schedule of projects
• Participate in the preparation of project reports. Write about own research contributions, and edit material written by coworkers, especially contributions by more junior group members such as graduate students
• Participate in the acquisition, management, and installation of equipment and/or devices relevant to current and upcoming research projects
• Coordinate and collaborate with team members within and outside the university on ongoing projects
• Develop and design new molecular assays that will be used to quantitate DNA and RNA of virus and cancer genes
• Communicate with outsider scientists in academy and industry to develop collaborative project and sell scientific products
• Independently design and execute experiments using molecular assays including but not limited to Ultra PCR, real-time PCR, qPCR, RT-qPCR, droplet digital PCR on diverse blood and tissue specimen of human origin
• Analyze experimental data with various software and analysis tools
• Contribute, analyze, and present research data using summary graphs for publication and grant submission, present and update research progress at lab meeting or joined group settings
• Optimize protocols and trouble shoot experiments that are necessary to generate relevant data and improve data quality
• Identify long and short-term goals; initiates program/projects; work is organized and prioritized appropriately
• Monitor assignments and projects to ensure they are completed within specified time frame; deadlines are consistently met, accommodate schedule changes to cooperatively accomplished required daily work
• Manage projects of moderate size and scope; makes substantial contributions to determining feasibility of goals and objectives
• Train new employees and guest technicians in experimental procedures and assays, laboratory safety and database maintenance
• Monitor monthly spending for different budgets, order supplies and reconcile budgets
• Identify research problems; create opportunities to enhance technical methodology or content through expansion of existing or development of new efforts
• Analyze issues and projects thoroughly, considers all factors; obtain and use resources as necessary
• Maintain complete, accurate, legible records. Create SOPs, thoroughly documents any modifications
• Provide ongoing feedback and updates to the Associate Professor; and actively solicits input on work methods
• Identify development opportunities
• Experience maintaining budgets
• Independently execute documented protocols for quantitative viral detection on research specimens
• Perform higher complexity molecular procedures including but not limited to ultra PCR, real-time PCR, qPCR, RT-qPCR, droplet digital PCR, PCR product detection, DNA sequencing and molecular cloning techniques
• Prepare chemical, DNA, and RNA reagents used in laboratory assays
• Perform and test RNA and DNA extraction from plasma, serum, and cells
• Identify testing problems; lead the development of the solution under the guidance of the Associate Professor and/or senior scientists
• Assist in the development of novel assays, modify and refine procedures and techniques to obtain optimal results
• Present and update research progress at lab meeting or joined group settings
• Optimize protocols and trouble shoot experiments are necessary to generate relevant data and improve data quality
• Assist in identifying research project goals; may lead small to moderate size program/projects; work is organized and prioritized appropriately
• Train and monitor new employees and guest technicians in experimental procedures and assays, laboratory safety and database maintenance
• Coordinate gatekeeper responsibilities for sample repository
• Perform work accurately, precisely and meet test completion deadlines. Accommodate schedule changes to cooperatively accomplish required daily work
• Contribute data and analyses for grant submissions and assists in the preparation of publications and presentations
• Analyze issues and projects thoroughly, considers all factors; obtains and uses resources as necessary
• Maintain, complete, accurate, legible records. Thoroughly documents any modifications
• Provide ongoing feedback; and actively solicits collaborative projects with other internal research scientists
• Experience with PCR, Real-Time PCR testing methods, and RNA and DNA extraction techniques, and sequencing technologies
• Demonstrated good laboratory practice (GLP) skills
• Molecular biology background, PCR, sequencing, computer programing ability to analyze sequencing data, familiarity with basic statistical methods
• Demonstrated competence with molecular biology methods such as isolation and handling of high quality DNA and RNA, PCR and quantitative PCR, DNA sequencing (Sanger, NGS), cloning and construct production using traditional restriction fragment and modern isothermal reaction assembly methods
• Demonstrated competence with methods relevant to developmental cell biology: e.g.,. microscopy (brightfield and laser confocal), time-lapse imaging; cell culture; gene expression analyses by in situ hybridization, immunohistochemistry, quantitative RT-PCR; histological methods such as cryosectioning and staining; microinjection and transgenesis
• Excellent attention to detail, organizational abilities, and ability to multitask
• Ability to work well both independently and as a team member
• Willingness to work some weekends, off hours or holidays as part of lab responsibilities shared amongst all senior lab members
• Experience with zebrafish genetics, handling, husbandry and live food production
• Prior full-time employment in biological research, unrelated fields (e.g., military, business, service industries), or both
• Sample cultures according to the daily sampling plan
• Conduct a series of biological & chemical analyses according to the SOPs
• Analyze all data according to the SOPs
• Participate in assembling the daily QC report
• Participate in assembling a weekly summary
• Participate in the optimization and constant improvement of the analytical procedures
• 2) Short term project work is anticipated to be focused on providing a high level technical oversight for tasks 2, 3 and 5 of the AECOM REE activity. (2 - Characterization, 3 - Separation and 5 - Field Site Materials Characterization and Inventory)
• 3) The candidate should have an extensive history of peer reviewed journal articles. (High impact value)
• 4) The candidate should a good presentation record at national and international conferences
• 5) The candidate will have at least 2 years of experience in the field of Rare Earth Elements
• 6) The candidate will be responsible for generation of information about types and concentrations of REEs, their associations with mineral and other phases in the materials of interest, and their pertinent physical properties
• 7) The candidate will be responsible for the development and evaluation of lab-scale physical, mechanical, and chemical separation techniques to extract/concentrate REEs from coal and coal by-product materials
• 8) The candidate will be responsible for; identification of field sites that contain high concentrations of REEs, identification of proper sampling procedures, identify promising abundant and high REE materials for characterization and separation studies at NETL
• 9) An update will be due by the end of each month briefly describing the accomplishments from that month and the next month’s forecast. Also, the applicant will include the relevant status of patents, publications or presentations. Reported information concerning publications and presentations shall include full title, author listing and journal or society name
• 10) An update will be due by the end of the quarter briefly describing that quarter’s accomplishments
• 11) The candidate will participate in group meetings. Group meetings are designed to allow the applicant to discuss current research and promote discussion with fellow researchers. The manager will request the applicant to provide a PowerPoint presentation for group meetings. The frequency of these presentations are generally once every 6 months but can occur at a higher rate
• 12) Preferably, the prospective employee would be familiar with working in a GOGO (Government Owned Government Operated) national laboratory environment
• 13) This position will require extensive interface with customers and potential collaborative partners, so excellent verbal and written communication skills are required. The complexity of information to be managed will require excellent organization skills and an attention to detail
• 14) The candidate should have some leadership experience
• Serve as lead technical assistance support for 4-6 hospital and health center contractors, holding regular and as-needed check-ins with each contractor
• Develop a detailed scope of work and contract requirements to guide the selection of contractors
• Design materials and tools to support the project, including but not limited to: an implementation analysis framework for understanding MLP operations, patient and provider focus group guides, and a handbook of operational measures and social determinant measures
• Plan and implement all meetings of the project – both virtual and in-person
• Collect, review and analyze performance data reported to NCMLP by participating MLPs
• Monitor contract deliverables and invoicing
• Plan and participate in site visits, as well as on-site provider and patient focus groups
• Draft summary reports on the outcomes and lessons of the project
• Draft manuscripts for publications to disseminate project findings in peer-reviewed journals
• Participate in NCMLP team meetings and other MLP-related events as necessary
• Support other research and evaluation projects, as needed, for NCMLP
• Master’s Degree/PhD in relevant field
• 8-10 years experience in the field or in a related area to include 2-5 years of research and/or college level teaching in a field basic to the work to be performed; experience must include planning, conducting and reporting as primary responsibility
• Submitting a portfolio or examples of your work is strongly encouraged*
• Working knowledge of Python and C++
• Passion for material science
• Knowledge of CAD software (Solidworks)
• Experience working with 3D Printers
• Experience in optical systems
• 0-10yrs of experience
• PhD in Computer Science in the areas of information retrieval, information integration, business intelligence, data/text mining, and big data platforms
• The candidate should have research orientation and a proven track record in identifying and solving research challenges specific to the area of research
• The candidate should also have a strong record of publications in leading conferences and journals
• PhD in Psychology, Marketing, Neuroscience, Sociology or other quantitative behavioral science
• 5+ years of research / analytical experience; including experimental/applied research and survey design
• Expertise in statistics required for hypothesis testing, including power analyses, parametric and non-parametric tests (e.g. chi-square, ANOVA, OLS regression, logistic regression, multilevel modeling)
• Fluency with at least one statistical software program (R, SPSS, Matlab, STATA)
• Ability to work in a high volume environment and consult on numerous projects simultaneously
• Unrivaled communication and teaching skills both written and verbal, from one-on-one meetings to leading regional trainings
• Ph. D in Organic / Polymer Chemistry with >2 years of experience
• Strong background and experience in synthetic organic chemistry / polymer chemistry with proven track record
• Fundamental understanding of structure-property-performance correlation in the area of polymers
• Ability to communicate effectively with global technology and commercial teams (verbal and written). Ensure communication with all the stakeholders of the research projects of which he/she is in charge and encourage people to share results with other groups
• Ability to mentor and develop team members. Sound knowledge of IP and its significance
• Write invention disclosures, discuss with official patent organizations
• Participate actively in the scientific community by e.g. giving presentations, internal seminars, external conferences, in order to network actively
• Collaborate through projects with other internal entities, university labs, and other external partners
• Collaborate with university labs in specific projects
• Attend and/or organize meetings with HSE to discuss issues, to make the own team aware of certain risks
• Demonstrate commitment for safe work environment
• Ensure hazards & risks of chemicals are addressed and communicated
• Promote a climate in which people permanently focus on innovation
• Ensure the exchange and distribution of information and expertise within the team
• Ensure work activities & documentation is aligned with quality systems
• 5) As a good team player, share research outcomes, methodology and cycle-time reduction methods with team members and other divisional personnel
• 6) Maintain current knowledge of relevant Quality System Regulations and other regulatory requirements related to research and development (product development, design and safety) to ensure compliance in all research, data collection and reporting activities
• 7) Authors articles in journals apply for patents and contribute to scientific literature and conferences
• 8) In addition to having an in-depth knowledge and understanding of GxP and related regulations and guidance, is able to provide expert insights into such regulations so as to facilitate efficient product registration and/or is an active participant in the generation, review, adoption and interpretation of such regulations
• 9)May supervise and direct Research Associates
• Preferred Ph.D. in Physical or Chemical Science or Engineering
• Experience handling and modifying hydrogels
• Experience characterizing/analyzing hydrogels (mechanical strength, stability)
• Flexibility, adaptability, and success at multi-tasking; willingness and ability to participate in multiple programs simultaneously
• Ability to prepare technical proposals for new product ideas
• Passion, creativity, and a record of innovation as demonstrated by published papers/patents
• Proficient in Analytical and Mechanical Methods
• Strong communication skills (written and oral), including excellent presentation skills
• 1) Bachelor's degree in a scientific discipline with at least 10 years, MS with at least 5-7 years, or PhD with 0 to 2 years in relevant discipline required
• 2) QSR research lab experience essential and GMP experience desirable
• 3) Research lab experience includes research in GMP/QSR environment, cross-functional teamwork, and independent experimentation in method development and validation
• Serve as a Subject Matter Expert for compound structure elucidation and general investigations associated with product development, manufacture and marketing
• Write study protocols, perform laboratory work and write reports of protocol studies to provide evaluation/support of new and existing products
• Develop new or improved techniques and procedures around specific tasks; write and implement SOP's. Develop research outlines for large scientific projects. Apply state-of-the-art techniques in mass spectrometry to develop new or improved products
• Share research outcomes, methodology and cycle-time reduction methods with team members and other divisional personnel. Schedule activities and organize work to meet study requirements in a timely, cost effective manner
• Perform maintenance of mass spectrometers, trouble-shoot instrumental problems and coordinate efforts to resolve existing and potential problems
• Author peer-reviewed publications, apply for patents, and contribute to the scientific literature
• PhD in chemistry with at least 2 years, MS with at least 5-7 years, or Bachelor's degree with at least 10 years experience in relevant discipline
• Formal training in mass spectrometry/analytical chemistry, and be skilled in carrying out sophisticated mass spectrometric experiments, such as accurate mass and MS/MS
• Highly skilled in operating state-of-the-art mass spectrometers and in interpreting mass spectrometric data
• Well versed in the theory and practice of mass spectrometry. Seasoned in applying mass spectrometric, chromatographic, and spectroscopic methods for structure determination of unknown compounds, and for the quantitation of trace level organic compounds
• Hands-on experience in chromatography
• Sound understanding of related analytical disciplines such as IR and NMR spectroscopy, and able to use data from these fields to aid in the structure elucidation of unknown compounds
• Trained in method development and validation in a GLP/GDP environment. Well versed in study protocol and report writing
• Has peer-reviewed publications and presentations related to area of expertise
• 3 years of experience in a mathematics, computer science, quantitative social science, physics, or engineering field
• Ability to pay strict attention to detail
• Active TS/SCI clearance with a polygraph
• MA or MS degree in Mathematics, CS, Quantitative Social Science, Behavioral Science, Physics, or Engineering
• Experience with technical writing
• Design, develop, and re-engineer large-scale electromagnetic code architectures
• Design, develop, implement, and test new physics-based algorithms related to code list above
• Design, develop, implement, and test multi-code interfaces and environments
• Modeling, simulation, and analysis for EM component designs
• Attend conferences and author publications, as appropriate
• Master’s degree with at least 5 years of experience, in physics or engineering in the development of high-performance EM codes, as well as modeling and analysis of structures and components used in vacuum electron devices using finite element codes
• Experience in C++, GPU/CUDA, MPI
• Experience with CAD and the generation of computational meshes of geometries
• Must be able to obtain and maintain a DoD Secret Security Clearance
• Ph.D is preferred
• Publications in professional journals in areas related to the above areas
• Experience with FORTRAN, Phi coprocessors
• Experience with MICHELLE, AWR Analyst-MP, ANSYS Maxwell, and/or similar simulation codes
• Familiarity with mathematical techniques of optimization and tolerance analysis
• Ability to build statistical models, test hypotheses, visualize, summarize, interpret, and report on data holdings. Perform research on social media (e.g. Twitter, Facebook, YouTube) using quantitative and qualitative content analytics. Plan, organize, arrange, and implement training and outreach activities for various projects and programs across the larger data science community within Leidos and our customers
• Data manipulation, analytic tools, and data visualization
• Constructing and performing complex database search queries
• Computer science concepts and data content
• Programming or statistics
• Work within a distributed team of scientists and engineers at ATL, other Lockheed Martin facilities, outside companies, and universities to perform research in human systems integration, human performance augmentation, and human-system teaming, as well as perform modeling, simulation, and analysis, and conduct or supervise the conduct of experiments
• Typical customers include DARPA, IARPA, ONR, AFRL, ARL, commercial companies, Lockheed Martin business units, and Advanced Technology Labs proper (via internally funded basic and applied research programs)
• Applicants are expected to have ideas for research and have a desire to see these research concepts funded
• Applicants selected will be subject to a government security investigation
• M.S. degree in Computer Science, Cognitive Science, Artificial Intelligence, Cognitive Psychology, Information Science, Neuroscience, Psychology, Neurology, or related discipline
• At least 3 years research and development experience in a relevant area
• Ability to assist in writing proposals to win DoD-funded contracts, team with university researchers in the human factors and human-system integration domains, and collaborate with small and medium enterprise companies
• Prefer degree with a focus on dimensions of human-machine interaction, including the development of trust and transparency between humans and physical or digital agents. These methods will be applied to advance human-machine interaction technologies to attain high levels of human-system performance
• Experience in transitioning technology from the research environment to users
• Ability to perform some travel
• Experimental behavioral/social science
• Scientific research methods
• Statistical modeling
• Experimental behavioral
• Social science
• Research in public health and information sciences
• Collecting, managing, and analyzing quantitative data
• Working collaboratively with community and research partners
• Writing reports, manuscripts, or other professional documents
• Using MS Office software, including Word, Excel, and PowerPoint
• Using a qualitative software
• 60% Experimental design and execution
• Bachelor Degree in Microbiology, Biochemistry, Ruminant Nutrition or related fields
• 2+ years of laboratory fermentation experience or equivalent
• 3 – 5 years of general lab experience
• Must be able to design and execute continue fermentation assays
• Attention to detail and commitment to quality
• Strong desire to work in a team approach
• Self-starter. Demonstrates decisiveness and judgment
• Be able to use critical thinking and troubleshooting skills
• Must be able to maintain a safe and clean work environment
• Proficient in Microsoft Word, Excel, and Outlook
• Be able to work extra hours or weekends if required
• Perform compound structure elucidation and conduct general investigations associated with product development, manufacture, and marketing
• Write study protocols, perform laboratory work, and write reports of protocol studies to provide evaluation/support of new and existing products
• Serve as the lead investigator for new product development and manufacturing studies requiring GC/MS and headspace GC/MS analysis
• Identify, characterize, and/or quantify volatile and semi-volatile organic compounds in support of extractables and leachables investigations
• PhD in chemistry with 0- 2 years, MS with at least 5-7 years, or Bachelor's degree with at least 10 years experience in relevant discipline
• Capable of working in a GLP/GDP environment
• Develop and validate animal health bioanalytical assays using LC-MS/MS
• Perform bioanalytical sample testing for PK/TK studies
• Perform extraction of plasma, tissue samples, LC-MS/MS instrument operation, maintenance and troubleshooting
• Trained in SOPs
• Write method development and bioanalytical report
• Present experimental results. Working with other scientists in studies
• Solid understanding in analytical chemistry
• Expert in chromatography , solvent, buffer, and reagent preparations and applications
• Must possess strong Analytical Chemistry skills; LC-MS (API4000 or 5000 preferred), Shimadzu HPLC systems, and troubleshooting
• Experience in LC-MS/MS, bioanalytical assay development, validation, and sample testing
• Experience in dose formulation assay development, validation, and sample assay by LC/MS and LC/UV
• Experience with radioisotope handling (e.g., 3H, 14C) biochemical techniques is a plus
• Must possess experience in Good Laboratory Practice (GLP) and have a thorough understanding of any industry, FDA, or other applicable regulatory guidance pertaining to the conduct of bioanalytical activities
• Ph.D. degree in chemistry, biology, or a related discipline, or equivalent
• 1-2 years of relevant laboratory experience in LC-MS/MS bioanalysis, or M.S
• At least 5 years of relevant laboratory experience
• Knowledge of commonly used scientific concepts, practices, and procedures within pharmacology or animal science field
• Knowledge of Laboratory Information Management System (LIMS)
• Knowledge of Data Acquisitions and Operating Software as Analyst, MassLynx…
• Up-to-date knowledge of Bioanalytical techniques in method development and sample analysis of analyte and its metabolites in biological matrices
• Bachelor's degree with 2-3 years experience or a Master's degree with 0-2 years experience or a PhD
• PhD in Mathematics, Applied Mathematics, or closely related discipline
• Demonstrated research in Multiscale Mathematics, Uncertainty Quantification and Data Assimilation
• Experience in one or more of the following fields: numerical analysis, stochastic PDEs, spectral methods, dimension reduction, sampling methods, sensitivity analysis, surrogate models, uncertainty quantification, quantum information theory, number theory, high performance computing
• Ability to lead and/or work as part of a research team to carry out fundamental and applied research that will contribute to existing and future projects
• Work with multiple collaborators on broad objectives and critical project milestones. Establish good working relationships with project teams
• Contribute and lead publication of research in top-notch venues and journals
• Demonstrated expertise of a wide range of cellular and biochemical assays, including cell isolation and culture, molecular biology, cellular immunology assays for the identification and characterization of therapeutic antibodies
• Extensive experience with functional analysis of immune cells in whole blood and PBMC preparations in flow cytometry based technologies is required, especially familiar with immunoassays such as ADCC, CDC, and activation of B cell, T cell, monocytes/macrophages and dendritic cells. ELISA based PK assay and PD biomarker assay development and validation; Luminex cytokine release assay development and validation
• Experience in in vivo animal models of cancer is required
• Demonstrated ability to independently manage functional responsibilities, prioritize and manage multiple projects and activities while meeting ambitious deadlines
• Highly motivated, efficient, and ambitious; and contributes to strategic planning
• Key member of the team responsible for the development of novel, disruptive cellular immunotherapy concepts and next generation of cellular therapy product candidates, based on the existing proprietary CCT platforms
• Design and implement experiments, perform data analysis and interpretation for the discovery and development of novel cell based cancer immunotherapeutics
• Generate the preclinical PoC, go/no-go decision and IND enabling datasets for novel cell based immunotherapy candidates
• Maintain cutting edge knowledge and provide expertise in all scientific and technical areas relevant for the discovery and development of cell-based immunotherapeutics
• As a scientifically rigorous innovator, contribute novel ideas and provide solutions for the achievement of R&D objectives
• Provide written and oral scientific progress reports to the Director, Executive Management, generate scientific publications and intellectual property applications, as required
• Maintain laboratory records and electronic files to support experimental studies and intellectual property development
• Assist in training new staff members as required
• Work in cross-functional teams and assist other staff members as necessary to complete divisional goals as required
• Maintain a safe and clean work environment in accordance with policies/procedures and OSHA safe laboratory practices, as well as contribute to the operation and maintenance of laboratory equipment
• PhD Immunology or Cell Biology required, 2+ years post-doc experience preferred
• Excellent knowledge of advanced concepts in cellular, molecular immunology and immune system development required
• Extensive research experience in cellular and/or molecular immunology and immune cell based analytics and assay development required (i.e. flow-cytometry, immune-receptor signaling, in vitro / in vivo experimental models of immune cell differentiation and effector function)
• Knowledge and research experience in tumor immunology preferred
• Knowledge, research and / or product development experience in immune and/or cell based therapies
• Excellent communication skills, both written and oral, required
• Ability to communicate effectively with colleagues at all levels and regulatory agencies, when necessary
• Must be goal oriented with the ability to work independently, ability to handle multiple tasks, and ability to prioritize
• Knowledge of laboratory research software applications is required. Ability to use Microsoft Word, Excel and PowePoint is essential
• The candidate must demonstrate strong analytical skills with business acumen
• To employ statistical modeling techniques and generate tools to answer business questions especially to support promotion response modeling; marketing mix optimization; resource allocation across diverse personal promotional channels; and segmentation
• To be fully grounded in Lilly’s sales operations data sources and able to respond to data requests from business partners
• Have broad understanding about sales and marketing and be fully engaged with business teams, bringing an objective voice to the table, and facilitating decisions grounded in data
• To work closely with business partners to understand key business decisions and the information they require in order to make those decisions
• To identify existing resources that answer teams’ business questions without the need for acquiring new data
• To oversee technical methods done by vendors
• To influence strategic priorities and resource allocation during the business planning process
• Perform research and develop methodologies, especially in business analytics/data mining and other innovative statistical/mathematical approaches to solve business problems if necessary
• Stay current with respect to statistical/mathematical/informatics modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected
• Participate in peer-review work products and advise others on technical matters
• Can effectively lead cross-functional or multi-disciplinary groups and use technical expertise to influence business decisions through statistical/mathematical analysis and interpretation
• Perform work in full compliance with assigned curriculum(s) and will be responsible for following applicable corporate, medical, local, and departmental policies, procedures, processes, and training
• Ph.D. in Statistics, Econometrics, or Operations Research
• Deep and broad knowledge of statistical modeling and data mining methods and tools – able to reduce business problems to mathematical/statistical questions/hypotheses that can be answered through analytics and data mining
• Proficiency with analytic tools (SAS, JMP, R etc.)
• Interpersonal communication skills for effective customer consultation
• Teamwork and leadership skills
• Self-management skills with a focus on results for timely and accurate completion of competing deliverables
• Insatiable curiosity for understanding existing information sources, uncovering new ones, and developing and improving on analysis approaches
• Demonstrated problem solving ability and strategic thinking
• Ability to do prioritization across multiple projects
• Preferred experience in marketing and sales analytics
• Ph.D. in Statistics or Biostatistics
• At least 3 months of applied statistical research experience at industry(e.g., internship or full-time employment) OR academic research centers, outside of PhD dissertation
• At least one publication on statistical methodology in a top tier statistical journal
• At least one oral presentation at a statistical conference
• Technical growth and application with working knowledge of experimental design and statistics
• Resource management skills
• Business process expertise associated with critical activities (e.g. regulatory submissions)
• Conduct routine and non-routine analyses of test articles as assigned by supervisor by appropriate biochemical methods such as: SDS-PAGE, HPLC,CE-SDS, ELISA, Cell Based Bioassay, etc
• Demonstrate initiative to perform routine QC responsibilities such as sample coordination, lab equipment maintenance, QC document management, QC inventory control and reconciliation of sample requests/documents as needed
• Monitor laboratory equipment for temperature and conformance to specifications
• Apply acceptable cGMP practices during execution of all work tasks
• Work independently with minimal supervisory guidance. Exhibit strong teamwork skills
• Update supervisor of progress at scheduled intervals. Seek additional guidance as needed
• Use scientific expertise to provide assistance for troubleshooting, laboratory investigations and problem resolution. Suggest process improvements to QC management
• Bachelor's Degree in a related science such as a Biology or Biochemistry with a minimum of 10 years experience; or
• Excellent working knowledge of cGMP regulations is required
• Ability to work independently and achieve problem resolution with minimal supervision
• Conduct routine and non-routine analyses of test articles as assigned by supervisor by appropriate biochemical methods such as: SDS-PAGE, HPLC, CE-SDS, ELISA, and Cell Based Bioassay
• Demonstrate initiative to assure performance of routine QC responsibilities
• Update supervisor of progress on frequent basis. Seek additional guidance as needed
• Perform assay data review
• Bachelor's Degree in a related science such as a Biology or Biochemistry with minimum 7 yrs experience, Master's Degree in a related science such as a Biology or Biochemistry with minimum 5 years’ experience
• Conduct routine and non-routine analyses of test articles as assigned by supervisor by appropriate biochemical methods such as: SDS-PAGE, HPLC, CE-SDS, ELISA, Cell Based Bioassay, etc
• Work independently with moderate supervisory guidance. Exhibit strong teamwork skills
• Bachelor's Degree in a related science such as a Biology or Biochemistry with minimum 7 yrs experience, or Master's Degree in a related science such as a Biology or Biochemistry with minimum 5 years’ experience
• Good working knowledge of cGMP regulations is required
• Ability to work independently with moderate supervisory guidance
• Excellent teamwork and communication skills
• Lead development on scientific protocols and clinical trial design
• Maintain infrastructure of laboratory and an organized, clean and safe working environment
• Develop new bacterial culture methodologies and analytical methods
• Coordinate with study execution team to process clinical samples and to execute required analyses within study timelines
• Evaluate new laboratory equipment
• Contributes to strategic planning for laboratory
• Use proper safety equipment and follow appropriate safety procedures
• Ensure proper handling and disposal of biohazard materials and/or hazardous chemicals
• Present results at team, project or unit meetings
• Contribute to report writing and other publications. Prepare SOPs/working procedures
• Perform data analysis and propose design of next experiment
• Contribute to troubleshooting activities
• Collaborate with other associates and scientists to facilitate knowledge exchange. Train and coach peers. May supervise local team members
• Work according to external and internal guidelines (e.g. SOP’s, GxP, HSE, AW)
• Meets agreed upon timelines for tasks, assignments, and/or objectives
• Compliance with quality systems and standards (e.g. no critical findings at internal or external audits)
• Master's Science Degree and 10 years or PhD/DVM with 2 years experience in bacteriology/microbiology assay development and culture growth optimization
• Experience in classical bacteriology
• Experience in lab automation
• Excellent communication skills and ability to interact on teams
• Define a risk-based drug product development strategy using Quality by Design (QbD) principles
• Ensure the strategy aligns with beef development team milestones
• Identify and select external partners to help execute the strategy
• Lead API and drug product process development and scale-up
• Design experiments to support product development and registration commitments, including, but not limited to, final formulation selection, defining the manufacturing process control strategy, and establishing specifications
• Ensure CM&C team accountability to product development team
• Ensure timely delivery of research material at sufficient scale and quality for development studies
• Identify, communicate, and mitigate risk appropriately
• Interact with beef development team scientists in the planning and design of development studies
• Support preparation of regulatory documents in partnership with Regulatory Affairs and functional technical contributors
• Deliver innovative technical solutions
• Organize and prepare project Manufacture/Technical Reviews
• Monitor critical path activities and develop contingency plans as needed
• Ph.D degree
• 5 years experience in biopharmaceutical product development
• Experience in fermentation process development and downstream purification preferred
• Experience in Quality by Design preferred
• Identify/establish screening assays to characterize the physical/chemical properties of peptides/proteins that influence oral absorption
• Perform analytical method development for peptides/proteins using multiple analytical/spectroscopic tools
• Design and perform studies to characterize the physicochemical properties of peptides/proteins, analyze the results, and examine the correlation(s) with molecular structure, in vitro permeability, and in vivo oral bioavailability
• With support from the automation group, transfer benchtop assays to robotic screening platforms; integrate the assay platform, supporting analytical tool, and data analysis systems to achieve high throughput capacity
• Troubleshoot protocols, critically analyze data, and present screening results at project team meetings
• Keep abreast of relevant new technologies/capabilities relevant to this role
• Author data summaries, technical reports, standard operating procedures, publications, and presentations
• PhD in Biophysics, Chemistry (Analytical, Bio, Organic, Physical), Chemical Engineering, Pharmaceutics, Pharmaceutical Sciences, or other related fields with relevant expertise
• Relevant postdoctoral experience in academia, national/government labs, or pharmaceutical/biotech industry for 2-5 years or
• Relevant experience in pharmaceutical/biotech industry for at least 1 year
• A solid research record demonstrated by patents, publications, or presentations in the area of proteimics, analysis, sample preparation, purification and identification of peptides in complex matrices, LC-MS method development, and quantitative characterization of physical/chemical properties of peptides/proteins
• Interest and ability to work in a dynamic, fast-paced environment, and be capable of handling multiple tasks while meeting timelines
• A strong understanding of protein chemistry, structure, conformation, physicochemical properties, and degradation pathways and the relationship to solution behavior, metabolic stability, and oral bioavailability
• Experience with a range of biophysical and chemical analytical techniques (HPLC, MS, MS/MS, AUC, dynamic and static light scattering, CD, ITC, SPR assays, spectroscopic methods) that can be applied for thorough characterization of peptides and proteins
• Foresight to integrate multiple orthogonal in silico and in vitro assays to address project’s critical needs
• Demonstrated expertise in high-throughput assay development, implementation, and data analysis
• Prior experience with automation and liquid handling platforms is highly desirable
• Ability to independently contribute with minimal supervision from the bench (design and execution of studies) to inform decisions in a cross-functional team
• Ability to lead projects and work productively in an interdisciplinary team environment
• Excellent oral and written communication skills; Experience with data management software
• Flexibility to adjust priorities over time to meet organizational and scientific goals
• Some experience with supervision of direct reports
• PhD in Chemistry or Chemical Engineering or related discipline or
• MS in Chemistry or Chemical Engineering or related discipline with minimum of 8+ years of relevant experience
• Experience in small molecule drug substance process development and related safety assessments
• Reaction Calorimeter, Differential Scanning Calorimeter, Accelerating Rate Calorimeter, differential Accelerating Rate Calorimeter and micro calorimeters, HPLC, GC and Optimelt
• Knowledge and experience for data interpretation and analysis of experimental results as applied to process safety assessments, including concepts of adiabatic temperature rise, adiabatic time to maximum rate, Stoessel reactivity classes, Semonov Diagrams and critical temperatures
• Basic knowledge of dust explosivity (Kst and Pmax), vent sizing calculations, electrostatics and other tests/test methods applicable to commercial scale process safety analysis and shipping practices
• Knowledge of industry best practices for process safety, process safety test analysis and chemical reactivity analysis
• Experience with commercial manufacturing scale process design and processing equipment, including scale-up and troubleshooting
• Experience with commercial scale process controls and basic knowledge of process control design
• Experience with inherently safer chemical process design
• Knowledge of chemical reactivity and industrial chemical reactivity accidents
• Knowledge of Organic Chemistry and/or Chemical Engineering fundamentals, including reaction mechanisms, kinetics and thermodynamics
• Understanding and implementation of first principles modeling and use of modeling tools such as DynoChem, Aspen Properties, gPROMS Process Builder, CHETAH and AKTS software
• Organizational skills
• Leadership and team work skills
• Coaching/mentoring skills
• Ph.D. in Pharmacology, Biochemistry or in Pharmaceutical Sciences or a related field
• Industry (Pharma/Bioech) experience in the preclinical evaluation of monoclonal antibodies fusion proteins preferred
• Working knowledge of software such as WinNonlin, NONMEM and S-Plus
• Experience in the design and execution of PK/PD studies and development of mathematical PK/PD models
• Experience with drug development and knowledge of regulatory processes
• Strong working knowledge of immunoassay methodology
• Prior experience working in an interdisciplinary team
• The ideal candidate will have demonstrated ability to identify scientific issues and solve problems, both individually and with partners in functional groups
• Ph.D in Statistics or Biostatistics
• Strong written and verbal communication skills: at least one manuscript submitted to or published in a peer-reviewed journal AND at least one oral presentation at a statistical conference
• Proficiency in statistical software (SAS OR R)
• Represents Developability on core teams focused on the discovery and selection of compounds for clinical and commercial development
• Understands the projects’ discovery flow scheme, key characteristics of the disease, patient profile, and the desired drug product attributes and associated compound parameters required for clinical performance and commercial success
• Balances the needs and priorities of multiple projects and facilitates discovery efforts through assisting with study design for hypothesis testing and developing pre-clinical formulation for the studies
• Leads the physicochemical and biopharmaceutical profiling and risk assessment of compounds advancing through the discovery flow schemes. Understands compound/scaffold properties as they impact developability and uses the understanding to facilitate discovery efforts
• In collaboration with pre-clinical formulation and analytical scientists, develops formulations for pre-clinical pharmacokinetic studies, pharmacology studies and toxicology studies
• In collaboration with the solid form selection group, coordinates the screening and recommendation of a developable solid form for clinical candidate compounds
• In collaboration with formulation and analytical scientists within Developability, coordinates the necessary activities for the selection of a clinical formulation platform and the associated stability assessment
• Designs and further develops currently available tools and technologies relevant to the function, while simultaneously keeping up with and applying what’s developing and/or available externally
• PhD in Organic or physical Chemistry, Pharmaceutical Sciences or a related field
• Masters degree in organic or physical chemistry, pharmaceutical sciences or other related disciplines with knowledge of pre-formulation with a minimum of 8-10 years experience
• Expertise in profiling and interpretation of physicochemical properties of pharmaceutical compounds
• Design and development of pre-clinical formulations
• Basic understanding of pharmacokinetic principles and drug product/process design factors impacting in vivo performance of drug products
• Basic understanding of drug delivery systems that are required to tailor the in vivo PK profiles for some drugs
• Experience identifying the solid form and physicochemical properties of the drug substance necessary to provide acceptable drug product performance
• Proactively search for solutions, challenge current default practices, and present effective alternatives for product design and development
• Work effectively and flexibly within and across all Elanco R&D teams and collaborate with key research partners in pharmacology, ADME, and toxicology
• Represents research on core teams focused on the discovery and selection of compounds for clinical and commercial development
• Create a positive work environment that is aligned with company objectives
• Providing technical advice and guidance to other teams and business areas
• Understands the projects’ discovery flow scheme, key characteristics of the disease and the desired drug product attributes and compound parameters required for clinical performance and commercial success
• Possess a strong background in organic and physical chemistry, formulation development, oral drug delivery, biopharmaceutics and absorption modeling
• Develop formulations for pre-clinical pharmacokinetic studies, pharmacology studies and toxicology studies
• Identify and select CROs, establish contract agreements, and maintain a positive business collaboration
• Leads the physicochemical and biopharmaceutical profiling and risk assessment of compounds advancing through the discovery flow schemes
• Understands compound/scaffold properties as they impact developability and uses the understanding to facilitate discovery efforts
• Technical support for drug product delivery for early clinical assessment
• Assess projects for design and product risks and use resources to mitigate/discharge those risks before they impact the project delivery timeline
• PhD Degree in a scientific field or
• Master degree with 10 years experience in discovery formulation
• Drives projects internally (or externally as the business dictates), and works effectively across functions. Uses technical expertise to influence business decisions
• Identifies broad technical issues, drives assessment of options and implements robust solutions
• Assist in or be accountable for selecting relevant methods for feedback loop control problems based on business need
• Maintain current knowledge with evolving technology and methodology
• Collaborate with team members to write reports and communicate results and inferences to the team and key stakeholders
• Perform work in full compliance with assigned curriculum(s) and will be responsible for following applicable Corporate, Medical, local, and departmental policies, procedures, processes, and training
• Merges scientific thinking & business knowledge to identify & impact business issues
• Assists in understanding of the regulatory environment in the context of machine learning/AI applications and helps drive leadership on regulatory opportunities
• Ph.D in Computer Engineering, Computer Science, Statistics, or Operational Research
• The candidate must demonstrate strong analytical modeling skills
• This candidate must have Java or C++ programing experience to develop user friendly tools
• Able to read, understand, and apply existing open source artificial intelligence codes in Java and C++
• Technical growth and application with working knowledge of model building, optimization methods
• Creativity and innovation skills
• Business process expertise associated with critical activities
• Strong written and verbal communication skills: at least one manuscript submitted to or published in a peer-reviewed journal
• Proficiency in Java, C++, SQL, Matlab, and R
• Collaborate with process engineers and development scientists to design and transfer robust manufacturing processes to commercial and third party manufacturing operations. This includes serving as a liaison to CM&C teams to shepherd new pipeline products from development into manufacturing
• Design and execute necessary laboratory and pilot studies, as well as prepare technical reports and/or regulatory submissions to support business objectives
• Suggest and evaluate opportunities for molecule, product and business process improvement. This includes driving the molecule/product technical agenda with a specific focus on process/productivity improvements in partnership with the Parenteral Product Network global manufacturing sites
• Coach and mentor junior associates
• Bachelor, Masters or Ph.D. degree in relevant area such as Pharmaceutical Science, Chemical Engineering, Biochemistry, Chemistry, or Biology
• A minimum of 10 years of industrial experience in commercial manufacturing or technical service of parenteral products and/or senior level research and technical transfer experience
• Demonstrated examples of leadership, influence, and problem solving skills
• Demonstrated ability to analyze and interpret complex technical data and troubleshoot data issues
• Preparation, review and response preparation of global regulatory submissions i.e. BLAs and NDAs and other technical communications
• Ability to Leadership teams to successfully deliver projects on time and in scope
• Working knowledge of statistical design of experiments and analysis
• Working knowledge and scientific understanding of product distribution, drug delivery devices and advanced drug delivery systems
• Design and execute/run reaction sequences
• Define process development for chemical intermediates and drug substances
• Perform chemical reactions, isolations, separations, purifications, and crystallizations
• Conduct route scouting, reaction optimization, and scale-up demonstration
• Write concise procedures and reports to enable successful technology transfers
• Participate in group and project teams meetings and communicate results in a team-based environment
• The candidate must be skilled in the art and practice of modern synthetic and mechanistic organic chemistry. - - Familiarity and competence with modern spectroscopic methods applied to structure determination including 1H and 13C NMR, infra-red spectroscopy, and mass spectroscopy are required
• Experience in the use of preparative silica gel chromatographic separations as well as analytical separations involving HPLC and GC is required
• Practical experience in multi-step syntheses is preferred
• Experience with spreadsheet programs such as Microsoft Excel and database software such as SciFinder is a plus
• A thorough understanding of physico-chemical characterization of proteins for early and late stage biologics development is required. The successful candidate will be expected to demonstrate hands-on technical leadership in the laboratory, oversee and delegate experimental/project responsibilities as needed, independently champion technology development projects, be involved in new assay evaluation and optimization, write/review development summary reports and author Regulatory submissions
• The candidate will lead the development of protein characterization, including the primary and higher order structure of final drug substance and drug product; participate in structure /activity relationship work as part of a team to characterize the molecule, degradation pathways and define critical quality attributes in a phase appropriate context. The candidate will also participate in process comparability studies, as required
• The successful candidate will be responsible for defining controls, analysis parameters as well as identification and implementation to enable rapid process development (glycosylation, size, charge, etc ) as well as leading technology transfer efforts to CRO/CMOs
• The candidate will serve as an analytical development representative on analytical sub-teams and will be the single point of contact for certain assay technical trouble-shooting
• The applicant should be an effective communicator of ideas, project goals and results to team members across cross-functional roles/departments. Ability to proactively identify issues and develop solutions in a collaborative multidisciplinary environment. This is a highly collaborative environment where willingness and ability to communicate and work effectively with individuals across various project teams is essential
• Candidates should be self-motivated and organized, familiar with the relevant literature, and enjoy scientific investigation and thinking, proactively identify issues and develop solutions in a collaborative multidisciplinary environment. The applicant is also expected to exercise considerable latitude in determining objectives and approaches to assignments
• Strong skills to lead, motivate, and develop the people in their group is highly desirable
• Routinely makes decisions affecting direction of project and for ensuring project timelines are met
• Makes key insights and decisions to direct project with minimal data if necessary and understands impact of results. Reviews and approves technical reports. Leads presentations in technical review
• Hands-on technical leadership of all aspects of protein characterization and lot release. Directs research associates or members of project teams (as needed) in the initiation and execution of laboratory experimentation, considering economic, regulatory and safety factors. Works on a wide – range of problems where analysis of situations or data requires evaluation of intangible variables, requiring regular use of ingenuity and creativity
• Responsible for establishing high throughput automation capabilities with cell line development and associated activities, such as method development, programming, testing and operation of liquid handler based systems
• Development of automation solutions for key stages within the cell line development workflow and associated activities
• Support and directly perform activities related to cell line development, genetic engineering, clone stability and characterization studies
• Performs key activities associated with production cell line generation and optimization; including transfection, selection, single cell cloning, high throughput screening, cell banking and clone analysis using scale-down performance models
• Support early stage process development efforts and independently design experiments
• Contributes to and also creates written technical reports, analyzes, interprets and effectively presents data at group and project meetings, works collaboratively and cross-functionally to achieve common goals
• May supervise and mentor scientific staff
• Hands on experience with use of liquid handlers and programming (knowledge with Perkin Elmer and Hamilton STAR based systems advantageous)
• In depth knowledge and direct experience in development, testing and execution of new / novel programming sequences, ability to optimize existing programs for high throughput operation
• Prior experience in applying automation / liquid handler operations to cell based assays and biological systems
• Experience with data management, traceability and sample genealogy
• Skilled in cell biology and aseptic cell culture of mammalian cells. Hands-on expertise in laboratory cell culture operations such as shake flask, spin-tube and/or deep well plate based culture formats
• Knowledge of current approaches to verify cell line clonality and associated verification methods
• Excellent communication, technical report writing, and presentation skills with an aptitude for critical analysis of complex data, together with creative problem solving
• Well-developed interpersonal skills, collaborative with a proven ability to participate in highly effective teams
• Applicants should be self-motivated, able to think critically and independently where appropriate, and able to work in a fast paced environment
• The candidate will be expected to lead development projects, and demonstrate hands-on technical expertise/leadership in the laboratory, independently champion technology development projects, be involved in new formulation evaluation and optimization, define formulation platforms, and write/review development summary reports
• The candidate will oversee or execute the R&D stability of final dosage forms, characterize degradation pathways and products, as well as conduct compatibility studies with drug-delivery devices (pre-filled syringes, auto-injecting systems, etc.) and other container closure systems
• The candidate will contribute to the development of stability-indicating assays, confirm the stability of final dosage forms, characterize degradation pathways and products as well as conduct compatibility studies with drug-delivery devices (pre-filled syringes, auto-injecting systems, etc.) and other container closure systems
• The candidate will be responsible for conducting biochemical and biophysical characterization of proteins and their degradation products with a focus on evaluating the stability and comparability of molecules via methods such as ion exchange, size-exclusion, and reverse phase HPLC methods, as well as differential scanning calorimetry, capillary electrophoresis, spectroscopic based methods (UV/VIS, FTIR, CD, etc.) and particulates (flow imaging, light obscuration, RMM), and other physical and spectroscopy techniques
• May lead Drug Product technology transfer from process development to clinical and commercial manufacturing sites, serve as the technical representative during fill/finish operations and participate in technical troubleshooting. Assist in technical review of batch records for lot release and CMO summary reports
• Experience with Regulatory Filings including authoring relevant sections of INDs/CTDs and/or BLA/MAA is desired
• The applicant should be an effective communicator of ideas, project goals and results to team members across cross-functional roles/departments. Ability to proactively identify issues and develop solutions in a highly collaborative, multidisciplinary environment
• Candidates should be self-motivated and organized, familiar with the relevant literature, enjoy scientific investigation and thinking, proactively identify issues, and develop solutions
• The applicant is also expected to exercise considerable latitude in determining objectives and approaches to assignments
• Technical proficiency, scientific creativity necessary to conceive, develop, optimize and execute in vitro plate-based assays to support drug discovery efforts
• Support compound profiling using in vitro drug metabolism assays
• Design, develop, and implement biological profiling assays for in vivo pharmacodynamics markers
• Design and execute large scale primary and secondary screens to identify hits and support specific aspects of the screening strategy such as designing and carrying out mechanism of action studies
• Manage multiple projects simultaneously, working cross-functionally in a high collaborative team environment
• Communicate clearly and effectively both verbally and in writing
• Presents results of work, interprets data, and draws conclusions in a fully independent manner
• Independently writes technical reports and technical presentations
• Serves as functional area expert with in-depth technical knowledge for projects
• Must think critically and work resourcefully to resolve problems
• Present research updates to project teams and R&D management
• PhD degree in pharmacology, virology, immunology , cancer biology, cell biology, biochemistry or related field. Prior experience of at least 3 years in a drug discovery laboratory setting working as part of a multi-disciplinary team
• Strong scientific foundation in the understanding and implementation of a wide range of biochemical and cell-based assays and readouts using state of the art technologies and assay automation is essential
• Experience in drug metabolism analytical methods and biomarker assay development are required. Experience with Mass Spectrometry essential
• The candidate should be able to think critically and creatively across multiple disciplines and have demonstrated the ability to solve research problems with experience in standard in vitro assays (e.g. HTRF, FP, ELISA, Immunofluorescence, Western Blot, etc.), including assay development, optimization, and troubleshooting
• Individual with experience in phenotypic assays and physiologically relevant in vitro models using primary cells and stem cells are preferred
• Experience in high content cell imaging or flow cytometry assays is essential
• Computational skills enabling automated data acquisition and analysis, and familiarity with related software applications (MS Access, Spotfire) is desirable
• The candidate must be able to analyze and report data concisely and rigorously. Adaptability and the ability to learn new techniques rapidly are essential
• Familiarity in the use of automation and HTS instrumentation is preferable
• Ability to multitask and successfully interact with a diverse team of scientists to deliver results meeting the needs of various stakeholder groups is essential
• Define and execute critical path studies to support hypothesis-based research, and manage activities across multiple project teams
• Design, perform, and oversee the evaluation of new molecular targets, therapeutic concepts, and therapeutic agents
• Identify, define and oversee external collaborations/CROs which support projects for fibrosis therapeutic targets
• Review and report/author non-clinical pharmacology data in support of IND and other regulatory documents and publications
• Strong communication skills to enable high impact and clear presentations to project teams and R&D management
• Maintain knowledge of scientific advances in relevant fields and competitive activity from literature, scientific meetings and external contacts
• We are seeking candidates with a thorough understanding of scientific approaches to developing biologic protein formulations, including experience in design and execution of screening studies evaluating effects of pH, buffers, stabilizers, surfactants, etc. on biochemical and biophysical stability, for frozen, refrigerated liquid, and lyophilized formulations, for early and late stage molecules
• The candidate will be expected to provide scientific leadership to the development of drug product formulations and/or processes, and demonstrate hands-on technical expertise/leadership in the laboratory by overseeing or delegating experimental/project responsibilities. The individual will be responsible for: new formulation evaluations and optimization, defining new formulation platforms, writing/reviewing development summary reports, and authoring Regulatory submissions
• The candidate will oversee or execute the R&D stability testing of final dosage forms, characterize degradation pathways and products, conduct compatibility studies with drug-delivery devices (pre-filled syringes, auto-injecting systems, etc.) and other container closure systems
• The successful candidate will be responsible for conducting biochemical and biophysical characterization of proteins and their degradation products with a focus on evaluating the stability and comparability of molecules via methods such as HPLC, capillary electrophoresis, particulates (flow imaging, light obscuration, RMM), as well other physical and spectroscopy techniques
• As necessary, the candidate will partner with the Analytical Development group to provide scientific feedback on the development of stability indicating assays
• May lead the Drug Product technology transfer from process development to clinical and commercial manufacturing sites, serve as the technical representative during fill/finish operations and participate in technical troubleshooting. Assist in technical review of batch records for lot release and CMO summary reports
• An understanding of the approach and demonstrated experience developing, characterizing, and troubleshooting, a variety of formulation and drug product manufacturing unit operations, such as bulk storage freezing / thawing, compounding / mixing, sterile filtration, vial and syringe filling, lyophilization, as well as manual and automated visual inspection for early and late stage molecules
• Experience conduction drug product manufacturing risk assessments to identify critical process parameters (CPPs), as well as designing and executing process characterization studies to define CPP targets and ranges for manufacturing unit operations as part of a Quality by Design approach to process development
• Experience with Regulatory Filings including authoring relevant sections of INDs/CTDs, as well as response questions, is desired
• The applicant should be an effective communicator of ideas and results to team members within cross-functional roles/departments. Gilead supports a highly collaborative environment where willingness and ability to communicate and work effectively with individuals across project teams is essential
• Candidates should be self-motivated and organized, familiar with the relevant scientific literature, and enjoy scientific investigation and thinking, proactively identify issues and develop solutions. As necessary, the candidate will also independently champion the evaluation and development of new technologies
• Responsible for conducting scientific research for the development of drug candidates or the research support of marketed drugs
• Works in collaboration with more senior scientists or scientific directors to advance the development of state-of-the-art techniques to characterize substances, assays and tools
• Works on moderately complex problems where analysis of situations or data requires evaluation of intangible variables, requiring regular use of ingenuity and creativity
• Makes contributions to scientific literature and conferences through publication and presentation of research results
• Demonstrates technical proficiency, scientific creativity, collaboration with others and independent thought in suggesting experimental design and strategy
• Hands-on technical leadership in design and execution of purification process development, optimization, scale-up, validation/characterization, process transfer activities, and GMP manufacturing support for early and late stage protein therapeutics
• Strong understanding of technical processes, including centrifugation, normal flow filtration, chromatography operations, tangential flow filtration, and virus inactivation/removal
• Oversee and delegate experimental/project responsibilities, independently champion technology development projects, participate in new product evaluation, and define and implement purification process platforms
• Mentors and directs research associates and members of project teams in the initiation and execution of laboratory experimentation, considering appropriate economic, regulatory and safety factors
• Transfer processes from development to clinical and commercial GMP manufacturing, including definition of bill of materials, batch record drafting/review, and discrepancy resolution
• Provide technical troubleshooting and identify opportunities for future process and equipment improvements. The candidate may be expected to travel to support tech transfer and manufacture operations
• Author, review, and approve development reports, batch records, regulatory filings, and process validation and characterization reports
• Ideal candidates will be self-motivated and organized, familiar with the relevant literature, and enjoy scientific investigation and thinking
• Must think critically and creativity, be able to work independently, determine appropriate resources for resolution of problems, and have strong prioritization and planning skills
• Makes key insights and decisions to direct projects with sometimes minimal data if necessary and ensure project timelines are met and delivered
• Effectively communicate ideas, successfully present technical solutions, and influence project teams. Presents results of work, interprets data, and draws conclusions regarding presented material
• Proactively and efficiently identifies current or future issues, and successfully develops solutions in a collaborative multidisciplinary environment is crucial
• Serve as a sub-team functional lead - highly proactive, collaborative; effectively engage in technical discussions and communicate potential issues, solutions, timelines and deliverables
• 3+ years of directly relevant industry experience and PhD in a relevant scientific discipline
• PhD and industry experience strongly preferred
• Demonstrated strength working in settings where data requires evaluation of intangible variables, requiring regular use of ingenuity and creativity
• Scientific creativity, and collaboration with other team members
• Excellent verbal and technical writing skills
• Strong leadership skills, including the ability to motivate, inspire and develop research associates
• Manages multiple projects, works closely with internal customers, CMOs and external vendors/contractors
• Participates in or leads cross-functional project teams
• Supports global regulatory filings with regard to analytical method validation and method transfer
• Maintains knowledge of principles and theories, applying such knowledge to the operational management and direction of the function in support of the Company’s research and business interests
• Demonstrates strong leadership skills
• Demonstrates high level of proficiency and responsibility
• Assists department head in general recruiting, training and development activities
• Plans, designs and implements laboratory experimentation for method validation and method transfer
• Serves as a resource to management on the operational strategy of the research function and provides long term resource planning for equipment, laboratory space and staffing levels
• Excellent scientific and business communication skills (both verbal and technical) and interpersonal skills are required
• Works under supervision of more senior scientists or scientific directors to advance the development of state-of-the-art techniques to characterize substances, assays and tools
• Working under general supervision, plans designs, implements and analyzes laboratory experimentation to advance scientific knowledge of drug substances or techniques to identify such substances
• Demonstrates emerging ability in developing methods, techniques and evaluation criteria for obtaining results and interpreting experimental outcomes
• Excellent communication skills (both verbal and technical) and strong interpersonal skills are required
• PhD in Cancer Biology, Cell Biology, Immunology, Molecular Biology, or related field. Must have expertise in oncology, with experience in immunology and/or fibrosis a plus. Must have biomarker and translational experience
• Experience investigating mode of action, resistance, combination of targeted therapeutics agents in complex biological systems including patient samples and/or animal models
• Strong experimental skills with demonstrated ability to execute well-designed, decision-making experiments
• Identifying, defining and overseeing external collaborations with key opinion leaders/CROs which support projects in diverse therapeutic areas
• Experience with the discovery, characterization, clinical validation and utilization of innovative biomarkers and potential diagnostics is preferred
• Must be able to work independently and effectively on multiple programs in a fast paced environment
• Strong motivation, attention to detail, and ability to think independently and fully integrate into a high achieving team environment
• High level of business awareness
• Excellent interpersonal, verbal, and written communication skills are required. Must be able to multi-task and take a leading role on project teams
• Ability to effectively collaborate with both senior and junior staff in a professional scientific setting, both within and across project teams
• Extensive experience with therapeutic antibody discovery, including designing and evaluating immunogens and antibody screening strategies
• Demonstrated effective time management, multi-tasking and planning skills in order to meet project objectives, timelines and deliverables
• Previous management experience is desired
• 3+ years of experience with PhD in related scientific discipline
• Responsible for developing chemical processes for the manufacturing of drug substances
• Supports Pilot Plant operations and able to write master batch records and safety summaries with limited supervision
• Demonstrates ability in developing methods, techniques and evaluation criteria for obtaining results and interpreting experimental outcomes
• Requires a PhD in Organic Chemistry/Chemistry with a minimum of 2 years of experience in chemical process development for pharmaceuticals
• A minimum of 2 years of experience supporting plant operations
• Technical proficiency, scientific creativity, collaboration with others and independent thought in suggesting experimental design and research strategy
• Excellent communication skills (both verbal and technical writing) and interpersonal skills are required
• Process Development: 2 years
• Plant Operations Support: 2 years
• Ensures up-to-date knowledge on evolutionary genomics, and on population genetics
• Participates in the interest group of bioinformaticians and machine learning specialists to ensure state of the art annotation of the human genome
• Uses evolutionary biology theory to analyze human and population diversity of traits and diseases
• Develop/improve algorithms for further analysis of sequenced data
• Strong background in population or evolutionary genetics
• A PhD or a postdoc in academic groups focused on evolutionary and or population genetics
• Experience in a start-up environment
• Background in computer sciences, mathematics and/or bioinformatics a plus
• Self-Starter
• Plan, design and implement studies of new products in cell-based and other in-vitro assays
• Develop methods for in-vitro screening of new products
• Characterize formulations using appropriate analytical techniques
• Support preclinical activities
• Prepare and communicate technical reports and publications
• Ph.D. in Pharmaceutical Sciences, Biomedical Engineering, Biochemistry, Biophysics, Cell Biology or a related discipline and up to 3 years of industrial experience in a research environment are required
• Experience with in-vitro cell-based techniques is required
• Experience in relevant analytical and bioanalytical techniques / instrumentation (microscopy, flow cytometry, HPLC, fluorescent spectroscopy) is required
• Knowledge of molecular biology, cell biology and immunology is desired
• Knowledge of drug delivery systems, including nanoparticle based formulations, and inhalation therapy is a plus
• Experience in microbiological techniques is a plus
• High degree of motivation, creativity and research orientation are essential
• Strong verbal and written communication skills, as well as a team orientation are required
• Experience in NGS library preparation is desired, otherwise a proven record of innovation in molecular biology
• Experience in hybridization-based isolation of nucleic acids, e.g. microarrays or library enrichment, would be a bonus
• Demonstrated competence in troubleshooting and overcoming challenges
• Standard computer skills including proficiency in PowerPoint and Excel
• Create or identify innovative and informative ways to characterize reagents, enzymes and processes
• Optimise assay conditions to achieve new levels of commercial stability, robustness and performance
• Further understanding of sequencing biochemistries using biophysical and analytical methods for protein and small molecule characterisation
• Design and execute experiments, analyse and present data demonstrating feasibility of new methodologies
• Conduct clear and concise communication cross-functionally with colleagues and supervisors through oral updates, written reports and technical meetings
• PhD in Biochemistry, Chemistry or a related field
• Proven experience in a scientific discipline required, which may include post-doctoral work
• Product Development experience including assay optimisation, reagent development and transfer to production
• Track record of developing new functional enzyme assays preferably for DNA and/or RNA processing enzymes
• Quantitative characterization of proteins and enzymes
• Highly quantitative approach to science with a solid background in statistics
• High level of technical proficiency, initiative, independent thought and collaborative ability
• Detail oriented with excellent troubleshooting, experimental and communication skills
• Use of biophysical methods in the areas of protein and formulation characterization: HPLC, FPLC, LC-MS, ESI & MALDI MS, SPR, ITC, DLS, AUC, CD spectroscopy, as well as common molecular biology techniques
• Statistical analysis of large complex data sets using JMP, Minitab, R or similar
• Experience with Design of Experiment (DOE) methodologies
• Discover best-in-class monoclonal antibodies on a variety of exciting therapeutic projects utilising UCB’s novel world-leading technologies,
• Use your exceptional practical skills, excellent communication and team working abilities to drive our innovative antibody projects forward from the laboratory
• Be responsible for clearly presenting work in a variety of cross-functional meetings and conferences
• Provide intellectual and practical input to develop and implement more efficient processes and technologies
• Be driven to publish work in high impact scientific journals and in patents
• Lead by example and network effectively both internally and externally
• Practical experience of the following would be advantageous: RT-PCR (ideally from single cells), gene cloning, antibody screening methods, next generation sequencing (NGS), B-cell biology
• A highly motivated individual with a proven ability to deliver to tight timelines
• Possess an inquisitive and innovative nature
• Exceptional organisational, communication and inter-personal skills
• Experience of supervising or mentoring junior scientists would also be desirable
• A passion for delivering innovative new medicines for patients suffering with serious disease For more information and to apply please click the “apply” button. Alternatively, email Tracey Richardson ([email protected])
• Bachelors or Master’s degree in Immunology or a related field with 2-5 years of relevant laboratory experience in an industrial setting
• A deep understanding of basic immunology and tumor immunology; experience in myeloid cell biology is preferred
• Hands-on expertise in immunology approaches and techniques, including mechanical and enzymatic digestion of tumor samples, density gradient separation, cell sorting, multi-parameter flow cytometry, CyTOF, ELISA/MSD, RNA extraction, qPCR and ex vivo/in vitro MLR
• Experience with in vivo tumor models is a plus
• Proficient at independently designing and executing experiments, analyzing data, and reporting conclusions to team members. Excellent organizational and time management skills
• Demonstrated creativity and novel approaches to solving scientific problems is desired
• Excellent interpersonal skills with the ability to interact effectively with people, internally and externally is required
• Demonstrate high levels of adaptability, flexibility and learning agility
• Work effectively and flexibly within and across all Elanco R&D teams and external collaborators to achieve overall Elanco R&D deliverables
• Provide and accept challenge to deliver innovative technical solutions and create an innovative culture
• Provide ADME or bioanalytical expertise and scientific leadership for the nonclinical and clinical development and registration of drug candidates for use in food animals
• Ability to interface with research scientists from other related fields and contract laboratories
• Development and validation of novel analytical methods in biological matrices
• Design, plan, implement and interpret pilot and pivotal studies necessary to assess the human food safety of food animal drugs, utilizing internal and CRO laboratories
• Serve as consultant on drug development process and helping to establish strategy for product registration
• Identify and select CROs and establish contract agreements and maintain positive business collaboration
• Coordinate and assure data integrity
• Design/develop project timelines and budgets
• Compile reports to be submitted to regulatory agencies for review and approval. Interact with global regulatory agencies
• Collaborate with Toxicologists and Pathologists in the safety assessment of drug candidates: Serve as consultant on establishing MRLs and tolerances in key geographies
• PhD degree with 5 years combined post-doctoral and pharmaceutical industry experience or
• Master degree with 10 years pharmaceutical industry experience
• Demonstrated knowledge of regulatory requirements and guidelines for veterinary drug development including VICH and GLP
• Biopharmaceutical drug development experience
• Developing and Implementing DMPK studies
• Bioanalytical method development and validation (emphasis on tissue residue analysis)
• Metabolite Identification experience
• Comparative metabolism studies & Total and marker residue studies
• Independently conceives and designs research or development projects, and is successful in obtaining their support through funding from external agencies or through internal review
• Establish a record of successful research or development so that long term support is obtained and there is national and international recognition of the accomplishments
• Provide technical and scientific training and professional development opportunities to technicians, graduate students, and post-doctoral fellows
• Typically has unit-specific responsibilities with the scope of the job
• Design and manage inhalation toxicology research as a Study Director/Principal Investigator
• Design and manage toxicology research under Good Laboratory Practices (GLP) regulations
• Analyze and evaluate problems to develop sound experimental techniques for scientific studies
• Coordinate and perform data analysis and prepare test reports
• Present data at client meetings or conferences
• Train and mentor junior technical staff
• Prepare cost and schedule estimates on proposed projects/assays in toxicology
• DABT Certification or DABT eligible
• Design and manage toxicology research as a Study Director/Principal Investigator
• DABT Certification
• Experience in respiratory/inhalation toxicology
• Experience working with extremely hazardous chemicals/biologicals
• Knowledge of US Army rules and regulations surrounding chemical/biological agent operations
• Understanding of GLP and ISO regulations
• Leads and conducts assigned technical tasks in support of Monitoring QC objectives in support of the PCAPP Laboratory, which may include but is not limited to: providing customers with required Laboratory Monitoring capabilities; meeting or exceeding customer requirements for accuracy and precision; meeting or exceeding customer requirements in regarding turn-around time; maintain quality system adequacy, effectiveness, and implementation, etc
• Reviews complex technical data by evaluating adherence to processes programmatic requirements and provide concurrence of suitability for reporting
• Performs independent technical reviews and assessments of Laboratory Monitoring test data, laboratory operating procedures, technical specifications and instrument operating conditions and limits are maintained in accordance with governing plans and policies
• Provides Laboratory Monitoring oversight. To include chemical agent extraction analysis of process control and hazardous waste samples, and other analytical analysis and functions
• Performs surveillances of Laboratory Monitoring personnel to verify procedural compliance and potential areas of improvement
• Applies and maintains a quality information system(s) used to track and trend assessment findings, analyze data integrity, document non-conformance and deficiencies are assessed from internal reviews, and identify any potential opportunities for improvement in processes
• Reports quality inconsistences to Management
• This position involves work near or with toxic and hazardous materials and requires ability to wear protective clothing/mask. Must be clean-shaven; must wear seat belts when driving or riding in vehicles on post
• Leads and conducts assigned technical tasks in support of Operations Quality Control (QC) objectives in support of the PCAPP Laboratory, which may include but is not limited to: providing customers with required Laboratory Operations capabilities; meeting or exceeding customer requirements for accuracy and precision; meeting or exceeding customer requirements in regarding turn-around time; maintain quality system adequacy, effectiveness, and implementation, etc
• Performs independent technical reviews and assessments of Laboratory Operations test data, laboratory operating procedures, technical specifications and instrument operating conditions and limits are maintained in accordance with governing plans and policies
• Performs surveillances of Laboratory Operations personnel to verify procedural compliance and potential areas of improvement
• Develop proposals and conduct Cyber-Physical Security R&D in power grid control and/or industrial control systems
• Conduct technology and market scouting, and produce reports on Cyber-Physical Security trends and R&D roadmap recommendations
• Help define and lead new areas of research in Cyber-Physical Security by engaging with and getting buy-in from ABB Corporate Research and business stakeholders
• Lead or contribute to R&D projects, produce technical reports and presentations, and present results to higher management
• Manage to ensure R&D project results are properly considered and implemented in future ABB products
• Represent ABB in professional conferences and other customer events
• Protect Intellectual Property [IP] rights for ABB
• PhD in Electrical or Computer Engineering AND 2 years of professional experience with Engineering and/or Research & Development; OR
• Master’s Degree in Electrical or Computer Engineering AND 5 years of professional experience with Engineering and/or Research & Development
• Requires domestic and international travel, as well as the ability of obtaining US government security clearance in the future
• Excellent understanding of Cyber-Physical Security technologies, including communication, control room applications and field applications
• Broad knowledge of different types of Cyber-Physical Security related software and hardware products on the market and in the academia domain
• Knowledge of threat modeling methodologies with applications to situational awareness, predictive analysis and intrusion detection systems
• Deep understanding of power grids principles of operationGood knowledge of digital data communications theory, practices, and industry protocols, especially knowledge of DNP3 and IEC61850
• Highly-motivated and innovative person to work on short and long term research topics/problems
• Hands-on experiences on hardware and software setup for electrical testing
• C/C++ programming for embedded systems
• FPGA and Real-time Operating System programming experience
• Team player with strong interpersonal skills
• Possess strong communication skills in English
• Develop proposals and conduct Grid resilience R&D related to power grid protection & control, cyber security, and IoTSP applications
• Conduct technology and market scouting, and produce reports on grid resilience trends and R&D roadmap recommendations
• Help define and lead new areas of research in Grid resilience by engaging with and getting buy-in from ABB Corporate Research and business stakeholders
• Excellent understanding of Grid Resilience technologies, including communication, control room applications and field applications
• Broad knowledge of different types of Grid Resilience related software and hardware products on the market and in the academia domain
• Good knowledge of digital data communications theory, practices, and industry protocols, especially knowledge of DNP3 and IEC61850
• Good knowledge of digital protection relays, sensors/RTUs/PMUs, LTC/VR/CAP, PV/EV/ES/DER technologies
• Knowledge of SCADA/EMS and DMS architecture and applications
• Hands-on experiences on hardware and software setup for electrical and communication system testing
• Real-time power system simulation experience (RT-LAB or RTDS)
• Proficient using Microsoft Office
• In this position, you will be responsible for the subject-specific and disciplinary management of an application technology lab and will develop formulation concepts with BASF additives in the area of dry mortar applications
• In addition, you will develop and maintain testing and inspection methods within the lab in accordance with customer specifications and internal specifications and will ensure the necessary safety standards in the process
• You will be our customers' central point of contact for technical issues and you will monitor market trends and competitive activities
• You have a PhD in chemistry, chemical engineering or civil engineering and have several years of professional experience, preferably in the area of construction chemistry
• As a result, you are well versed in managing employees and are familiar with the processes in an application technology lab
• In addition, you have already been able to amass experience with writing patent applications, and with dealing professionally with customers is also not new to you
• On a personal level, you are distinguished by strong communication skills in English and German and are able to develop innovative solutions as part of a team
• As member of our global Quantum Chemistry & Molecular Simulation team, to use computational methods to contribute to the development of new or improved products and processes by generating understanding of chemical reactivity and material properties on a molecular scale. Typical application areas are materials development, catalysis, formulation optimization, and chemical process development
• To generate appropriate computational models for specific chemical problems, the application of a wide variety of classical and quantum chemical methods and programs, and the establishment of structure-property relationships
• Work together with interdisciplinary and international project teams from various BASF R&D units within India and globally
• To be a contact person for providing modeling support for the BASF R&D units in India and will be responsible for the identification, planning and execution of computational chemistry / modeling projects with these units
• Develop new and optimize existing polymer processes, transfer new products from lab-scale to pilot and production scale in close cooperation with product development department
• Be responsible for a professional project management in collaboration with colleagues in Germany
• Plan and elaborate innovative research projects and make intensive use of the internal expertise
• Extend your research network by establishing contacts with contractors, universities and research institutes
• Hands-on development of surface chemistry using coating and grafting membrane processes
• Develop new methods for activating C-F or C-H bonds on inert polymeric membranes
• Design and conduct experiments to develop, characterize and test new products
• Lead projects and technical teams
• Must have strong problem-solving aptitude, with a desire to conduct experiments and do “hands on” work
• PhD with experience in chemistry, polymer science, or material science
• Must have a solid understanding of surface chemistry, in particular various membrane coating and grafting technologies
• Must be comfortable working in a hands-on lab environment and have good attention to detail, good lab practices and patience
• Able to work independently when necessary to take initiative proactively to solve complex problems
• Strong track record of driving innovation
• Strong record of delivering new, innovative products
• Able to effectively collaborate and influence without the need for direct authority
• Contribute to the nomination strategy of the team by identifying gene candidates for transgenic modification and genome editing with the highest potential to improve and stabilize the yield
• Design and development of experiments of high complexity
• Analysis and interpretation of custom and complex data sets; ability to generate new hypotheses based on trait and yield performance
• Generation of reports and high level summaries from a variety of internal databases relevant to Yield Traits pipeline
• Coordination and communication with a variety of teams to ensure efficient and high quality execution of experiments; ability to work efficiently in a matrix environment and cross-functional teams
• Minimum of PhD in Plant Science, Biology or a related field of study
• Strong background in molecular biology and/or genetics
• Strong computer skills related to data analysis and organization
• Experience with MS Word, MS Excel, and database systems and large datasets
• Good working knowledge of statistics and experimental design
• Understanding of molecular biology relevant to gene expression and vector design
• Excellent interpersonal skills to enable effective performance in a matrix environment and cross-functional teams
• Demonstrated ability to communicate effectively, both written and oral
• High level of agility in balancing and prioritizing activities and resources
• Hands on knowledge of corn physiology and genetics
• Two or more years of related experience in Plant Science or Biology (may include academic experience)
• Demonstrated proficiencies in gene discovery and biotechnology product development
• Experience working in an industrial discovery setting with focus on Agricultural Biotechnology
• Strong decision making and troubleshooting skills
• Proficiency in Spotfire
• Reach conclusions based on scientific data and analyses; and from conclusions provide recommendations to larger projects and project teams
• Generate innovative solutions to complex problems through the use of multiple disciplines and technical principles
• Create innovative products/processes/methods through novel combinations of expertise within the organization
• Develop schedules of complex scope
• Develop new or improved techniques and procedures around specific tasks; write and implement SOP's
• Develop research outlines for large scientific projects
• Apply state-of-the-art techniques in the area of expertise to develop new or improved products
• As a good team player, share research outcomes, methodology and cycle-time reduction methods with team members and other divisional personnel
• Author journal articles, apply for patents, and contribute to scientific literature and conferences
• In addition to having an in-depth knowledge and understanding of GxP and related regulations and guidance, is able to provide expert insights into such regulations so as to facilitate efficient product registration and/or is an active participant in the generation, review, adoption and interpretation of such regulations
• May supervise and direct Research Associates
• PhD degree in microbiology or similar discipline with 0 to 5 years, MS with at least 6-9 years, or Bachelor's with at least 15 years in relevant discipline required. Knowledge of Good Documentation Practices, FDA guidelines, and capable of analyzing and solving complex problems through innovative thought and experience, as well as, project management tools
• Able to design and implement projects/studies in own area of expertise
• BS or Masters degree in immunology, biochemistry, pharmacology, cell biology or related field, with at least 5 years relevant research experience in industry
• Demonstrated hands-on experience in developing a broad range of high throughput, functional cell based signaling assays in recombinant and primary cells
• Proven track record for handling complex cell systems including: tissue microenvironments, co-culture, primary immune cell handling, translational R&D cellular models
• Practical expertise with high throughput screening using automated platforms and processes in a lead optimization environment. Expertise in high content imaging, Luminex and flow cytometry platforms experience with multi-mode/multiplexed assay read-outs is a plus
• Candidate must be highly motivated, highly organized and possess strong verbal and written communication skills and data analysis skills
• The ability to work effectively in a matrixed, team-oriented environment is essential
• Ability and desire to master new skills, methods and technologies in a technology-enabled environment is very important
• Primary human and mouse in vitro immune cell assays (e.g. T cells, B cells, myeloid cells, co-culture assays and other primary cells)
• Measurements of cytokines and chemokines across different platforms (ELISA, alpha-ELISA, HTRF, MSD etc). Protein detection by single or multiplex Western blotting
• Ex vivo murine assays such as gut explant assays for cytokine measurement
• Measurement of cell surface receptors and proteins by single or multicolor FACS across different platforms (BD, Sony, BioRad instruments). Although cell sorting expertise is not a requirement, it will be highly desirable
• Mammalian cell transfection/nucleofection; may intermittently include molecular biology work
• Expertise with analysis of biological results by interpretation and presentation of the data in a group, project teams and departmental presentation settings
• Extensive experience in human and murine cellular immunology assays using primary and expanded immune cells
• Experience in analysis of cytokines by single and multiplex platforms mentioned in the job description. Expertise in other molecular biology and protein analysis techniques (e.g siRNA, shRNA, western blotting etc)
• Experience in flow cytometry analysis of cells as well as experience in, or willingness to learn, flow cytometry based cell sorting on the platforms mentioned in the job description. Experience in Amnis ImageStream® is a plus
• The individual should be organized and be comfortable working independently as well as in group setting, preparing summary presentations, and participating in project meetings/discussions as required
• The candidate should have a Bachelor’s degree with 4-7 years of experience or Master's degree with 2-4 years of work experience (in academic, biotech or pharma industry) within the immunology area
• Adheres to all applicable Standard Operating Procedures (SOP’s)
• Records, analyzes, evaluates, interprets and summarizes technical data
• Maintains notebook and electronic documentation and raw data using established SOP’s and Good Documentation Practices
• Supports Analytical Development (AD) and Pharmaceutical & Process Technology (PPT) development work by using a variety of measurement techniques including but not limited to high performance liquid chromatography (HPLC), Dissolution, powder X-Ray diffraction (PXRD), modulated differential scanning calorimetry (MDSC), gas chromatography (GC), scanning electron microscopy (SEM) and Karl Fischer (KF)
• Communicates with all other departments and management to ensure project deliverables are met within established timelines
• Adheres to OSHA regulations and company policies outlined in the Patheon Environmental Health & Safety Manual pertaining to issues such as safety, hazardous waste disposal and their implementation
• Adheres to Patheon company policies and procedures
• Participates in additional responsibilities as assigned by management
• Develop new PCR-based assays for immune system profiling by next generation sequencing in collaboration with a team of other researchers
• Design and prepare clear and concise experimental plans, protocols, and SOPs
• Work across teams, including other R&D team members, process engineering, validation scientists, and quality to optimize robust PCR-based assays and test performance on manual and automated systems
• Execute detailed experimental plans
• Responsible for next-generation DNA sequencing library preparation and Illumina sequencer loading
• Responsible for reviewing and analyzing data, interpreting results, and reporting findings to their supervisor
• Design and execute assay qualification and validation experiments to measure assay performance characteristics, performing sample testing for clinical specimen testing, if necessary
• Coordinate technology and methods transfer to CLIA laboratory and provide training of technicians at CROs to perform clinical specimen testing
• Performing complex laboratory analysis of pharmaceutical products and proficiently uses analytical instrumentation, calculates and analyzes data and records data in adherence with PPD SOP's and the industry
• Developing LC-MS/MS based bioanalytical methods, of low to high level of difficulties, to support regulated bioanalysis of small molecules
• Mentoring and training junior scientists
• Facilitating smooth method transfer from method development to method validation
• Providing technical assistance to Operations, i.e., Sample Analysis
• Trouble shooting bioanalytical assays by working with R&D scientists, Sample Analysis scientists, and clients
• Participating in the R&D process improvement projects and implement R&D strategies to enhance quality and efficiency
• Collaborating with colleagues and peers at both Middleton and Richmond Virginia laboratories to share technical expertise and assay experience
• BA/BS in chemistry or related field with 8-10 years of experience OR
• MS with 6-8 years of experience OR
• PhD with 4-6 years of experience OR
• Solid understanding and knowledge of general chemistry and separation science guidelines, USP requirements and FDA guidance
• Full understanding of laboratory requirements, PPD & client SOPs, ICH
• Demonstrated strong problem-solving/technical know-how and assay troubleshooting skills
• Strong technical skills in liquid chromatography (LC), mass spectrometry (MS), LC-MS/MS, high resolution mass spectrometry (HRMS), and related analytical technologies
• Extensive hands-on experience in method development of LC-MS/MS assays for small molecule bioanalysis in a regulated environment (e.g., GLP and GCP)
• Signature customer-service mindset, i.e., successful interactions with both internal and external clients
• Experience in dealing with tight timeline or unexpected timeline on data delivery to meet clients’ needs
• Effective communication skills (both written and oral)
• Proven abilities in working in a team environment to timely advance projects
• Experience in mentoring and coaching junior scientists
• Experience in laboratory automation and ELN
• Design and carry out complex experimentation including data collection, summary and thorough analysis in support of research and development projects. Compose robust experimentation strategies that maximize effective use of resources and time to deliver optimum information
• Innovate on various research methods and product formulations to resolve complex problems that arise in the design and development of new particles and products. Pro-actively recommend strategy to overcome hurdles
• Optimize performance of particles and techniques in conjunction with the assay development team to support menu expansion activities on the Triage platform and new product development
• Carry out verification/validation activities for new particle and product designs under minimal supervision
• Maintain technical awareness of current technology by regular review of literature and training courses. Seek out and make contact with people or organizations with expertise in the field
• May direct junior research staff as required
• Generate oral and written reports as necessary to summarize laboratory activities and projects
• Initiate communication with related staff and functions as necessary to coordinate activities effectively
• Develop and improve current testing technologies and protect proprietary inventions by working with IP team to file patent applications. Follow up on new inventions to deliver patentable solutions to problems and strengthen current patent portfolio
• Liaise with external companies regarding supply of materials or services
• Co-ordinate testing with any off-site testing, as appropriate
• PhD in a related scientific discipline with 1-3 years related experience or MS in a related scientific discipline with 5-7 years related experience
• Working knowledge of federal and other regulations, e.g. QSR’s, ISO, ISO 13485, CMDR
• Able to work with a variety of people on multiple tasks
• Design and carry out complex experimentation including data collection, summary and thorough analysis in support of toxicology research and development projects. Compose robust experimentation strategies that maximize effective use of resources and time to deliver optimum information
• Optimize performance of competitive immunoassays for menu expansion activities on the Triage platform
• May functionally direct junior research staff as required
• Ph.D. degree in the biological sciences or related disciplines
• Relevant postdoctoral and/or professional experience (minimum of 2 years) in protein biochemistry and/or protein engineering is required
• Demonstrated ability to work in a team environment, knowledge on immunology and neurodegenerative diseases
• Provide training and supervision to junior members within the discipline. Routinely provide advice and assistance to team members regarding unique problems
• EXPERTISE & INNOVATION
• Ensure development of state-of-the-art analytical expertise and function specialties at our Strategic Indian partners; deploy effectively
• Recognized for technical expertise across multiple areas of technical specialty - Apply an in-depth understanding of multiple disciplines and businesses. - Documentation of studies through protocols and final reports. Compiles scientific data and interpret results in a clear, concise report
• Key contributor for issuance of test methods (e.g., 11 series / MOP methods)
• Create and execute complex design and technical tasks, integrating information from a variety of disciplines
• Provides analytical interpretation of results from studies to stakeholders
• Independently plan and execute a series of design and/or technical tasks that may not be well-defined, have multiple variables and require advanced techniques within negotiated deadlines
• Develop new approaches to complex problems through adaptations and modifications of standard technical principles to address business need
• Develop technical feasibility analysis for complex research and design concepts
• Evaluate results relative to product requirements, definitions and/or program goals
• Play a lead role in the evaluation, selection and adaptation of various techniques, which accomplish business objectives such as quality and cycle-time. Write and review protocols and reports for scientific studies
• Adhere to the Quality System, understand potential impact and apply applicable corporate, divisional and departmental procedures as relevant
• The scope of understanding should cover Raw materials, API, Finished products
• Development of robust and efficient analytical methods
• Validation according to the business and regulatory needs
• Transfer of methods and tests into relevant partners
• Must demonstrate strong leadership
• Must demonstrate strong decision making skills
• Must be able to develop strategic direction for the organization
• Must be self-motivated, have excellent interpersonal skills, capable of analyzing and solving complex problems through innovative thought and experience, as well as, project management tools
• Demonstrated in-depth experience in method development, validation of minimally HPLC, GC, KF, and titration methods
• Ability to make sound technical decisions on limited information with minimal guidance
• Ability to effectively mentor junior level associates
• Ability to make decisions independently
• Ability to design experiments and draw meaningful conclusions from lab data from multiple disciplines
• Contribute to efforts beyond own scope of responsibility to ensure project milestones are met
• A thorough understanding of compendial (minimally USP and EP) and ICH (minimally Q1, Q2) guidelines
• Experience in issuing test methods (e.g., 11 series / MOP methods)
• Experience in developing timelines to complete projects
• Leadership skills and demonstrated ability to work with indirect reports
• Experience of working with different cultures is desirable
• BS and MS degree in Aerospace or Mechanical Engineering
• At least 4 years of relevant experience
• Ph.D in Aerospace Engineering
• Experience leading a team
• Experience in working with research sponsors, delivering innovative research products on time
• Use internal and external data sources to routinely deliver assimilated information and insights relating to safety studies hypothesis relating to patient stratification
• Utilize complex patient safety and regulatory data to discover novel information and patterns to get answers for more sophisticated questions around disease areas
• Participate in the evaluation of new vendors, services, and platforms
• Leverage expertise in LRL-IT Informatics. Engage IT capabilities and infrastructure team to help meet data storage, processing and organization needs. Collaborate closely with Statistics around analysis methodologies and its application in research. Work with the IT application development group to help develop and implement solutions for data access and visualization for the broader Lilly scientific community
• Facilitate bringing in data / knowhow or learning into the broader organization
• Identify opportunities to improve process efficiency and /or use of standards with analytical methods
• Stay abreast of the latest technology and methods for analysis Ensure compliance with all applicable licenses and company guidelines regarding access and distribution of data, testing and validation practices, and documentation Identify opportunities to improve process efficiency and /or use of standards with analytical methods
• Evaluate proposed project ideas / software changes through technical impact analysis and estimated business value to influence decision making
• Effectively use of data and information to drive positive business actions outcomes as driven by business intelligence
• Leverage data analysis and design to deliver business needs for data and information that is adaptable, extensible and sustainable
• Create visual analytics, dashboards and reports leveraging the business data
• Drive data integration to focus on the processes to acquire data from disparate sources, and consolidating it into an enterprise data resource and ensure data quality
• Document business requirements and effectively communicate them to software vendors, developers and testers, in a way that is understandable and complete in order to achieve business and project objectives
• Adhere to Computer System Quality Policies and Procedures in execution of appropriate work and management of related documentation
• PhD degree in biology, Informatics, computational or statistical sciences with at least one year of experience in bioinformatics
• Experience in analyzing data generated and integrative analysis approaches to facilitate interpretation and hypothesis generation from patient safety case studies and epigenetics studies, preferably in a cross functional setting
• Experience with publicly and commercially available analysis tools, and databases. Good bioinformatics programming skills in scripting or programming languages such as R, Perl, Python, C/C++ etc. and related bioinformatics packages. Experience with high performance cluster computing queuing systems such as SGE
• Technical Skills: Business intelligence analysts use complex computer programs to mine data sources and look for trends
• The successful candidate will bring innovative ideas to the field of millimeter-wave material characterization by developing vector network analyzer quasi-optical, transmission line, and waveguide techniques in the W-band (75-110GHz) frequency range to measure dielectric and millimeter wave properties of refractory ceramics and ceramic matrix composites applicable to high frequency heat exchanger designs up to 2400K in air, vacuum, and variable gas atmospheres
• The successful candidate will conduct heat exchanger material synthesis and electrical characterization including fabricating refractory ceramic and ceramic matrix composite materials for dielectric testing in millimeter-wave ranges, and conducting studies of fundamental interactions of millimeter-waves with material microstructure and composition with SEM, XRD, AC impedance, DC conductivity, and W-band Gaussian optics
• The candidate will work daily with other scientists, engineers and technicians designing, developing, testing, analyzing and characterizing techniques
• The candidate will conduct modeling and simulation of materials interactions applicable to high frequency heat exchanger designs
• The candidate may also design, develop and field diagnostics and data acquisition systems necessary to characterize VNA techniques
• The candidate will attend weekly meetings and provide status updates on work activities
• The candidate will provide written and verbal reports as required
• BS Degree in Physics or Electrical Engineering with 2+ years of experience working in a research and development laboratory environment
• Expertise in dielectric and millimeter wave properties of refractory ceramics and ceramic matrix composites applicable to high frequency heat exchanger designs
• Expertise in using applicable design, data acquisition, analysis, and modeling and simulation software, including MATLAB, Mathematica, SolidWorks, LabVIEW, COMSOL Multiphysics and PIC codes
• Laboratory skills including using Network Analyzer, Oscilloscope, Electron Microscopy, and X-Ray Diffraction methods
• Experience in developing composite materials and ceramic processing
• Expertise in designing, implementing, operating and maintaining data acquisition systems
• Ability to analyze data and write accurate, concise and readable test summary reports
• Ability to engage in technical research and development
• Ability to work well in a laboratory environment and with scientific peers
• Must be able to obtain and maintain a DoD Secret security clearance
• Ability to understand and abide by government safety rules and regulations
• Possess excellent written and oral communication skills
• MS or PhD in Physics or Electrical Engineering
• At least 10 years experience with electrochemistry, packaging, bump technology, metalization, operation, and characterization
• At least 5 years Product qualification
• At least 10 years Product qualification
• Function as a project leader in a multidisciplinary team environment with primary responsibility for the early preclinical development of antibodies and protein/peptide molecules
• Integrate pharmacokinetics and PK/PD with discovery biology to define structure activity relationships to guide protein engineering strategies and to help optimize development of protein therapeutics
• Interact across groups, including other departments, regulatory agencies, and functional groups within drug disposition
• Responsible for the design, conduct, interpretation and reporting of study results
• Design/execution of preclinical PK/PD studies
• Develop and apply PK/PD modeling strategies
• Write preclinical and clinical study reports
• Interface with biology, toxicology and clinical research
• Ph.D. in Pharmacokinetics/Pharmacodynamics or a related field in Pharmaceutical Sciences
• PK/PD modeling of monoclonal antibodies, peptides/proteins or fusion proteins experience
• Experience with drug development and knowledge of regulatory processes preferred
• Prior experience working in an interdisciplinary team also preferred. The ideal candidate will have demonstrated ability to identify scientific issues and solve problems, both individually and with partners in functional groups
• Bachelor's degree in a scientific discipline with at least 10 years of relevant experience, MS with at least 5-7 years, or PhD with at least 0-2 years of relevant experience
• Knowledge of sterilization (Moist Heat, Ethylene Oxide, Radiation, Aseptic Processing) preferred
• Quality System Regulation (QSR) research experience is essential and GMP experience desirable
• Knowledge of QSR, FDA guidelines, and capable of analyzing and solving complex problems through innovative thought and experience, as well as, project management tools
• Extensive cross-functional team experience, including technical and non-technical work
• Ability to organize and present technical and project management overviews
• Design end-to-end systems using a thorough understanding of the basics behind the Internet and its workings (DNS, Security, IP Routing, HTTP, VPN, etc.)
• Design, setup and configure complex switching environments
• Hands on knowledge of Linux and Windows NAT/filter rules; construction of complex forwarding and filtering setups within host OSs
• U.S. Citizenship with SECRET clearance (or an ability to get one)
• Leads and directs the work of other researchers in the lab
• Designs, evaluates, and conducts experiments and research at an independant level, under the general supervision of the Principle Investigator (PI)
• Assist with grant writing
• Presents data at national and international conferences
• Works with national and international collaborators
• Responsible for the operation of specific equipment, training techniques to other laboratory personnel, and supervising research staff to include two students and one research staff member
• Performs other duties as assigned. The omission of specific duties does not preclude the supervisor from assigning duties that are logically related to the position
• A Ph.D. in the field of HIV immunology/virology plus experience specifically in the field of intrinsic, innate and adaptive immunity to HIV and HIV cure research with a good publication record preferred
• Supervisory experience and excellent organizational and communication skills
• Experience working with cell cultures and fluent in biochemistry, cell biology and molecular biology techniques (Western blotting, gel electrophoresis of proteins and nucleic acids, flow cytometry, ELISA, ELISPOT, cloning, HLA typing, real-time PCR, confocal fluorescent microscopy, next generation sequencing, statistics, evolutionary biology)
• Knowledge of proteomics and genomics approaches, statistics and evolutionary biology
• Lead project work developing fermented ingredients and products to deliver unique nutritional benefits
• Provide technical leadership and direction to cross-functional project teams on microbial fermentation systems and processes to deliver project objectives
• Work with cross-functional R&D colleagues to design and execute research in a scientifically sound manner, and facilitate data analysis and interpretation
• Interact and collaborate with R&D partners and support functions (Bioconversion team members, Nutrition Science, Product & Process Development, Analytical, Sensory, Statistics, Pilot Plant etc.) to ensure project success
• Provide direction to external research partners (culture houses, ingredient and equipment suppliers) and identify opportunities to effectively leverage their capabilities
• Utilize project management, project leadership and oral/verbal communication skills to manage and/or support projects
• Communicate findings to technical peers and managers verbally, and in written reports
• Utilize knowledge management tools to ensure that research is documented appropriately and identify opportunities for intellectual property development
• M.S. or Ph.D. in Microbiology, Food Science or Biochemistry (or equivalent) with at least 8 years research/design/development experience related to food/beverage based fermentations. PhD preferred
• Demonstrated experience bringing fermented food/beverage materials from bench to commercial scale, preferably with bacterial culture systems
• Solid working knowledge of microbial bioconversion pathways
• Exhibit strong technical capability and curiosity that can be applied to project assignments
• Ability to communicate technical information in a clear and concise manner
• Experience in experimental design, design approaches and application
• Experience with common sensory analysis methods and tools
• Ability to collaborate with other R&D functions
• Advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences
• Fast prototyping, feasibility studies, specification and implementation of medical imaging product components
• Work with customers to understand algorithm and workflow requirements and deliver solutions
• Conducts and provides technical guidance on scientific method development and validation projects and/or other specialty technologies studies across instruments, methods, procedures, and documentation
• Designs and executes method development/validation and/or studies independently, reviews and evaluates data, writes reports, and protocols
• Bacteria and Virus experience
• Assay development and validation
• Ability to lead and support a cross-functional team
• PhD in Operations Research, Applied Math, Numerical Optimization, Statistics, Machine Learning or related field
• Experience designing simulation and optimization models in for business decisions (e.g., staff scheduling, vehicle routing, and facility location) and/or feedback and/or predictive control
• Good communication skills with both technical and business people. Ability to speak at a level appropriate for the audience
• Familiarity with SQL and experience with very large-scale data
• PhD in Operations Research, Applied Mathematics, Theoretical Computer Science, Statistics, Machine Learning or related Engineering Field and at least 7 years work experience
• Practical experience developing decision support tools based on optimization technology (LP, MIP, NLP) for planning and execution support (e.g., staff scheduling, vehicle routing, facility location)
• Familiarity with forecasting and time series analysis
• Experience applying forecasting and data mining techniques in an industrial setting
• Good communication skills with both technical and business people. Ability to speak at a level appropriate for the audience. Experience applying these skills in both academic teaching environment and a business setting
• Familiarity with SQL and experience with very large-scale data. The ability to manipulate data by writing scripts (Perl, Ruby, Groovy)
• Deep understanding of MIP numerical programming techniques to leverage commercial algorithms and adapt them as required
• · PhD required in computer vision, machine learning, or related discipline
• · Publications at top-tier peer-reviewed conferences or journals
• · Strong communication and collaboration skills
• 6+ years professional experience in modeling and statistical analysis of large data sets
• Excellent analytical and communication skills and ability to influence stakeholders
• Basic understanding of scalable computing systems, software architecture, data structures, and algorithms
• Track record of developing and implementing models using programming and scripting (Java, Python, R, Ruby, C/C++, or Matlab)
• The ability to distill problem definitions, models, constraints from informal business requirements; and to deal with ambiguity and competing objectives
• Experience collaborating with engineering teams
• Experience building dashboards or tailored visualizations
• Fluency in at least one programming or scripting language (Python, Java, C, C++, etc)
• Experience with SQL and Statistical/mathematical programming software packages (R, SPSS, CPLEX,LONDO or Xpress etc)
• Good problem solving and data analysis skills
• A PhD in Machine Learning, Statistics or similar fields
• Experience using ML and statistical techniques such as Time Series, SVM, Decision Trees, Bayesian methods, and Clustering to create scalable solutions for business problems
• Experience in a business environment working with very large and complex datasets
• Experience in using R, SAS, Matlab or similar statistical software
• Experience in mentoring junior team members, including guiding them on machine learning and data modeling applications
• Strong data manipulation skills (structured or unstructured)
• Strong communication (verbal and written) and interpersonal skills to convey key insights from complex analysis to business partners
• PhD in Computer Science, Engineering, Machine Learning, Operations Research or similar
• At least three years of relevant academic research or industry experience in developing algorithms
• Depth and breadth in state-of-the-art approaches for at least one of resource allocation, optimization, planning or machine learning
• Ability to develop system prototypes in simulation
• Drive to see projects through from research concept to working production software
• A working knowledge of analysis of algorithms and computational complexity
• Fluency in at least one statistical software package such as R, Stata, Matlab
• Scientific mindset and the ability to invent, a track record of thought leadership and contributions that have advanced the field
• Excellent creative problem solving skills
• Experience with programming languages such as Java, C++, Python
• Superior communication and data presentation skills
• Demonstrated ability to lead research projects and identify fruitful research directions
• Experience writing production or library code
• Understanding of big data computing frameworks (Hadoop, Spark, etc) and Amazon Web Services
• Experience with optimization software packages such as Xpress, CPLEX, Gurobi
• 10+ years in delivering and influencing business processes through analytical techniques
• 5+ years of experience with IT based root cause analysis and process design and specifically Data Science
• Data-driven decision making or quantitative analysis skills (including deep knowledge of systems architecture, planning algorithms, and SQL)
• Excellent communication skills, ability to simplify complex topics for broad audiences
• 5-10 years professional experience (in high technology, operations research, or network design)
• MSc or PhD in Operations Research, Engineering, Mathematics, Computer Science, or other technical field
• Experience with supply chain modeling and other statistical analysis tools
• Demonstrated knowledge and usage of additional software development tools and techniques
• Knowledge of Supply Chain Mapping (GIS)
• Knowledge of direct sourcing products and their global supply chains
• MS in CS focused on Machine Learning, Operations Research, Statistics or other relevant area
• Exceptional problem solving ability
• 1+ years of experience in an industrial applied science setting, where your work was directly incorporated into production systems
• 1+ years of experience personally writing production quality code
• Participate in planning and design of research. Scope, conduct, direct, and coordinate all phases of small-scale research projects
• Develop and execute validation and impact studies
• Prepare analyses, graphs, fact sheets and other compelling research summaries to present to multiple audiences
• Assist in defining project requirements, document business and functional specifications, map current and future state business processes
• Maintain project plans, identify resource needs, and manage project schedule; collaborate effectively across teams to meet timelines and deliverables
• Experience analyzing large quantities of data
• Knowledge and proficiency with MS Excel
• Proficiency in a minimum of one statistical analysis tool: R, SPSS, SAS
• Strong planning, organization skills, and attention to detail
• Master’s degree in Industrial and Organizational Psychology, Behavioral Psychology, Statistics, Data Science, Survey Research or equivalent program
• PhD in in Industrial and Organizational Psychology, Behavioral Psychology, Statistics, Data Science, Survey Research or equivalent program
• Customer service orientation with a demonstrated desire to exceed expectations – ability to serve multiple customers
• Consistent delivery on commitments - great organizational skills with exceptional follow through and attention to detail
• Build mathematical models to predict customer attributes and behavior
• Prototype these models by using high-level modeling languages such as MATLAB, R or software languages such as Python. A software team will be working with you to transform prototypes into production
• Develop short and long run machine learning capabilities to drive business objectives working across multi-functional business and technical teams
• Build and lead a team of junior research scientists
• In order to perform the above responsibilities well, you also need to
• Identify and propose business cases to build department wide solutions that integrate with Amazon systems
• Gather data required for analysis and mathematical model building by writing ad-hoc scripts and database queries
• Ph.D. in Machine Learning, Data Mining, Statistics, Applied Mathematics, or a related field and 5+ years of industry experience, or a Master’s degree in Machine Learning, Data Mining, Statistics, Applied Mathematics or a related field and 7+ or more years of industry experience
• 7+ years experience in machine learning with domain knowledge and experience in the following areas: data-driven statistical modeling, discriminative methods, feature extraction and analysis, supervised learning
• 7+ years related experience in retailing, ecommerce or technology environments
• Fluency in a high-level modeling language such as MATLAB, R and software languages such as Python
• 5+ years experience with data extraction and analysis
• Ability to convey rigorous mathematical concepts and considerations to non-experts
• PhD in operations research, management science, statistics, engineering, mathematics, or computer science and 5-7 years of related work experience
• Interact with various software and business groups to develop an understanding of their business requirements and operational processes
• Implement the models and tools through the use of modeling languages such as AMPL and by engineering code in software languages such as C, C++, Java, and SQL on Linux and Windows operations systems
• Probability and statistics: Candidate should know basic probability, expectation and conditional expectation, common statistics, exploratory data analysis, linear regression, hypothesis testing. Additional knowledge of probability is a plus
• Programming: Significant exposure to programming languages and tools such as C, C++, Java, Python, Matlab, VBA. Candidate should be able to come up with working examples/prototypes independently. It is a plus to know Unix, SQL, SAS and R
• Hands on experience in ML models and techniques
• Gather immense amounts of data and transform it into an modeling dataset
• Apply advanced statistics and data mining techniques to analyze and make insights from big data such as historical production data and simulation/experiment results
• Advanced degree in statistics, economics, computer science, mathematics, engineering, or operations research
• Knowledge of supervised learning methods (linear and logistic regression, generalized linear models, decision trees, random forests, support vector machines, graphical models, neural networks, etc.)
• Proven track record of developing predictive/machine learning models utilizing advanced and state of the art techniques
• Knowledge of a statistical programming language (preferabbly R or the Python Data Science stack)
• Ph.D. in statistics, economics, computer science, mathematics, engineering, or operations research
• Knowledge of mathematical optimization (mixed integer programming, linear programming, stochastic programming/optimization discrete optimization convex optimization)
• Knowledge of AWS Infrastructure, Redshift
• Any Hadoop, NoSQL Database & Technology
• Any Web Analytics tool, like Omniture
• Own the strategic planning and research initiatives involved with the transportation network including network optimization, process improvement and sizing up opportunities from new initiatives. Build prototypes to demonstrate the benefits from proposed changes to the decision systems and operational processes
• Ph.D. in Operations Research, Statistics, Applied Mathematics, Computer Science, Engineering or a related field
• Demonstrated knowledge in the following: theories of optimization including linear programming, mixed-integer programming and network modeling
• Experience prototyping and developing software in traditional programming languages (C++/ Java/ Python/Perl )
• Statistical analysis, machine learning, and data-modeling in a database environment a plus
• At-least 3 years industry experience with demonstrated business impact in reducing transportation and inventory costs through the application of the optimization models
• Proficient with SQL and experience with very large-scale data. The ability to manipulate data by writing scripts (Perl, Ruby, Groovy)
• Working with technical and non-technical customers to design experiments and communicate statistical results
• Developing new statistical techniques in sampling, experimental design and analysis to capture new use cases and improve fidelity
• Collaborating with our dedicated software team to create production implementations for large-scale data analysis
• Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business
• Presenting research results to our internal research community
• Leading training and informational sessions on statistics
• Master's Degree in statistics, biostatistics, economics, quantitative finance or related field with 5+ year relevant experience OR Ph.D. in statistics, biostatistics, economics, quantitative finance or related field with 3+ years of experience
• Problem solving and analytical abilities
• Proficiency in statistical software such as R, python, S-plus, SAS, STATA etc
• Strong verbal and written communication skills and an ability to work in a team environment
• Experience with AB testing frame work and case control experiment design
• Experience with observational study design and analysis
• Experience with scripting languages and functional programming
• Experiment with applying machine learning, statistical modeling or related analytic techniques
• Experience with Amazon Web Services
• Experience with MapReduce concepts and Hadoop / Elastic MapReduce
• Experience with Spark
• PhD in Computer Science, Applied Math, Statistics, Electrical Engineering or a highly quantitative field
• 3+ years of hands-on experience developing and implementing Machine Learning algorithms and models
• Strong computer science fundamentals including programming and prototyping skills (Java/C++ or R/MATLAB/Python)
• Strong customer focus, ownership, urgency and drive
• Statistical analysis, machine learning and data-modeling in a database environment
• Graduate degree in operations research, statistics, engineering, mathematics, or computer science
• Build quantitative mathematical models to represent a wide range analytical systems. Ability to develop system prototypes
• Probability and statistics: Candidate should know probability, expectation and conditional expectation, common statistics, exploratory data analysis, linear regression, hypothesis testing
• Research: Preferred research areas includes data mining, entity composition and relationship discovery problems and large scale simulation
• Programming: Exposure to programming languages and tools such as Python, SQL, C++, Java, Matlab, SAS or R
• 3+ years experience working with Software development teams
• 3+ years experience applying Data Science
• Experience working with real-world, noisy data
• Build statistical models to represent the quality of deals sourced based on revenue forecasting at various levels
• Build statistical models to represent perceived deal quality by each customer and in turn come up with models to personalize deals for individual customers on the website, mobile app and various marketing channels
• Prototype these models by using modeling languages such as R and in-house Machine Learning tools. A software team will be working with you to transform prototypes into production
• Ph.D. in Machine Learning, Data Mining, Statistics, Applied Mathematics, or a related field and 2 years of industry experience, or a Master’s degree in Machine Learning, Data Mining, Statistics, Applied Mathematics or a related field and 4 or more years of industry experience
• Three or more years of experience in machine learning with domain knowledge and experience in the following areas: data-driven statistical modeling, discriminative methods, feature extraction and analysis, supervised learning
• Four or more years of industry experience or academic research applying statistical techniques to real-world data
• Fluency in a high-level modeling language such as MATLAB and R
• Demonstrated ability to own projects end-to-end and work on cross-functional teams
• Experience with programming languages such as Python, Java, C++
• Applied experience building/evaluating predictive models is desirable
• A good understanding of analysis of algorithms and computational complexity is desirable. Distributed programming experience is highly recommended
• Comprehensive and deep knowledge of a relevant field of research, such as machine learning, statistical modeling, natural language understanding, machine translation
• PhD or 5+ years of relevant work experience
• Experience in professional software development
• Experience in designing analytic and/or algorithmic solutions to business or operational problems
• Ph.D. in Computer Science, Operations Research, Computational Economics, Statistics, Applied Mathematics, or a related field and at least 2 years work experience
• Strong background in big data workflows and infrastructure implementation
• Experience developing software in traditional programming languages (C++, Java, etc..)
• Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes
• Work closely with software engineering teams to drive real-time model implementations and new feature creations
• 5+ years of hands-on experience in predictive modeling and analysis
• Experience in using Perl or Python (or similar scripting language) for data processing and analytics
• Experience with distributed systems for processing large data is a plus
• Solid background in statistical learning techniques for NLP (HMMs, CRFs, SVMs, LDA, LSI, MRFs etc)
• Fluency with unix
• Experience in one or more of the following areas: entity/relation extraction, information extraction, summarisation, semantics, document classification, ontology, question answering, knowledge graph
• Track-record of having developed novel algorithms, e.g. publications in one or more of the following: ACL, NAACL, EMNLP, SIGIR, NIPS, WWW
• Design and implement parallel image processing and analysis algorithms
• Publish and present research results in journals and conferences
• Deploy tools and carry on research in several of the following areas: image processing, image analysis, computer vision, feature/pattern detection/analysis as evidenced by original, published work
• Support supervision of postdocs and students working in the image processing group
• Write research proposals and reports
• PhD in Computer Science or equivalent demonstrated research experience or expertise in software engineering and team coding for at least two years
• Demonstrated ability to design and implement image processing/analysis/statistical analysis software, preferably shared- and distributed-memory parallel software, in one or more of the following programming languages and parallel libraries/languages/environments: C/C++, Python, Java, MPI, pthreads, C++11 threads, OpenMP, OpenCL, CUDA, R
• Experience using libraries such as Qt, OpenCV, Boost
• Knowledge of one or more of the following science areas: micro-computed tomography, light and electron microscopy, multi-spectral imaging
• Prior work experience designing and implementing image processing/analysis software
• Experience designing and implementing real-time streaming software pipelines for experimental science
• Software engineering tools: make, cmake, revision control systems (CVS, SVN, git), gdb
• Familiarity with scientific data models/formats and I/O libraries
• Support the LBNL materials R&D effort within the LHC Accelerator Research Program, which is developing high field quadrupoles to upgrade the luminosity of the Large Hadron Collider
• Provide technical expertise and solutions in the materials area to support the magnet program and new material and magnet program initiatives
• Participate in the research efforts to improve the performance of superconducting wires in close collaboration with our university and industry partners
• Carry out experiments to characterize the performance of advanced materials in superconducting magnets, i.e. metal alloys, epoxies, and superconducting wires and cables
• Provide materials science expertise on structural materials and components used for coil and magnet construction
• Design and implement facility upgrades to improve testing capabilities and data quality
• Participate in the full cycle development of superconducting accelerator magnet systems utilizing both emerging high-temperature and low-temperature superconducting wires, tapes, and cables
• Perform research to address questions relevant to understanding superconducting wires and magnets including training, and fabrication methodology that will maximize the field generation capability of superconducting accelerator magnets while reducing its fabrication cost
• Analyze test results and develop models for their interpretation
• Develop novel technologies for future accelerator-type magnet systems, utilizing alternative superconducting materials
• Generate fundamental understanding of performance limiting factors in technological superconductors and associated materials, and suggest methods to address these limitations
• Document and communicate the research in reports and oral presentations, including participation in conferences, and publication in refereed journals
• Advanced degree in physics, materials science and engineering or mechanical engineering, with expertise and a record of publication in superconducting materials and magnets, cryogenic instrumentation and measurements
• Ability to work effectively within a multidisciplinary team of scientists, engineers, and technical support personnel
• Demonstrated experience with broad multi-disciplinary expertise in large-scale cable and magnet applications
• Effective ability to lead one or several research efforts referred to above
• Broad experience in materials science and in the fundamental physics of superconducting materials
• Ability to publish scientific papers in peer-reviewed journals and present findings at seminars and conferences
• Demonstrated publication record and demonstration of proficient written and oral presentation of scientific results
• Perform research independently and as part of a research group
• Experience in one or more of the following technical areas
• Knowledge related to superconducting wire engineering and materials magnet engineering
• Implementation and testing of novel proof-of-concept software solutions via a combination of creative modeling & simulation and testbed implementations
• Lead the design and development of wireless networking solutions in bandwidth restricted and contested networks
• Modeling & simulation of wireless ad hoc & cellular networks
• Design and performance analysis of mobile ad hoc networks
• U.S. Citizenship Required (due to work performed under federal government contracts which have citizenship requirements)
• At minimum, a Bachelor’s Degree in Electrical or Computer Engineering or Computer Science required ; Master’s or PhD preferred
• Demonstrated experience of MANET networking and wireless systems with an emphasis on MAC and PHY along with a strong analytic background
• Demonstrated experience of object oriented programming specifically C++ and Java
• Demonstrated experience with modeling and simulation tools such as Matlab, ns2, and QualNet, and working with Linux testbeds
• Demonstrated experience working with software defined radios (SDRs) preferred
• Possess fluent knowledge in modern synthetic organic chemistry methods with the drive to challenge existing methods and create and apply cutting edge technology in a time constrained environment
• Actively participate in the design and development of new synthetic routes for the manufacture of active pharmaceutical ingredients using the most modern technologies, including flow chemistry and continuous processing
• Engage in research as a member of a cross-disciplinary team to evaluate and refine new manufacturing routes, technologies, and practices to advance a portfolio of challenging small molecule assets
• Demonstrate high learning agility with regard to grasping and exploiting new scientific concepts and methods across multiple disciplines and be able to apply these learnings to a portfolio of small molecule assets
• Collaborate with external manufacturing partners to develop robust chemical process that are readily amenable towards efficient drug substance manufacturing
• Possess strong communication (oral, written) and organizational skills, along with team leadership potential
• PhD in synthetic organic chemistry
• Strong technical skills to supply business value
• Knowledge and experience with management of a technical project
• Good interpersonal skills and a sustained tendency for collaboration
• Ability to influence others to promote a positive work environment
• Demonstrated initiative and risk-taking
• Demonstrated technical proficiency and ability to create ideas for future work plans
• Experience in a large-scale, complex network environment
• Dynamic IP routing experience, particularly Border Gateway Protocol
• Excellent oral and written communication skills; ability to prepare and present comprehensive presentations to IT and business executives
• Strong science background with analytical and troubleshooting skills
• Ability to work and communicate with others on complex projects while sometimes developing the workflows and processes needed to meet new requests
• Experience with scientific instruments, optical transport or high performance computing (HPC) systems and their applications
• Experience in a biomedical engineering or scientific computing environment working with others on complex R&D projects involving large data flows
• Experience in combined HPC/network environments, to include interrelation of networking and storage systems within these environments
• Experience with Virtual Private Networks, GRE, IPSec, MPLS
• Experience with software defined networks, software defined storage and virtual compute environments
• Extensive working knowledge and understanding of TCP/IP, including IPAM, DNS, and IPv6
• Experience with network OS environments to include IOS and JunOS
• Knowledge of software development lifecycle, scripting and coding practices in support of network and storage workflow automation and user interfaces
• Proven ability to learn from and work well with others
• Good understanding of production development and compliances
• Sound knowledge in R&D process/system, relevant laboratory skills, writing skills, and computer skills
• Strong teamwork/interpersonal skills and excellent coordination skills
• Excellent written and oral English skill
• PhD degrees in Pharmaceutics or related field with at least 3 year of relevant experience
• Experiences in developing/manufacturing terminally sterilized liquid products is a plus
• Leadership of technical teams, and project management experience is desirable
• Conducting comprehensive literature searches; creating and maintaining reference libraries using Endnote; and summarizing findings of published studies
• Developing grant proposals, IRB protocols, data sharing-agreement, and study updates
• Coordinating with Navy and Marine Corps units to schedule meetings and data collection
• Developing study materials, procedures, and documentation
• Developing study approach, methodology, and data collection instruments and measures
• Coordinating and participating in data collection (by administering surveys and conducting interviews and focus groups)
• Conducting data analyses, including univariate, bivariate, and multivariate statistical tests
• Developing manuscripts, technical reports, briefings and presentations
• Master’s degree in a relevant social science field (e.g., psychology, sociology, or public health) and 2 or more years of research experience OR a Bachelor’s degree and 5 or more years of research experience
• Demonstrated experience conducting research involving human subjects
• Demonstrated experience presenting research results at conferences or in written form
• Ability to work cooperatively in a group setting
• Play an active role in ensuring a safe, compliant and productive working environment for all research associates
• Lead (or contribute as a functional representative assigned to) multidisciplinary research teams executing programs of work sponsored by the species teams
• Actively support a culture of high accountability to the sponsor (species teams) through values and behaviors and actions
• Enable the timely progression of research projects through the practical application of scientific expertise which may include planning, protocol and FSR preparation, hands-on laboratory work or training and supervision of others
• 5 years experience working on R&D projects in the human or animal vaccine industry
• High personal ethical and quality standards
• Demonstrable subject matter expertise in bacteriology and at least one other relevant scientific disciple (immunology, molecular biology, assay development, bioprocessing)
• Proven project leadership skills and strong interpersonal skills
• Working knowledge of the USDA and GMP vaccines manufacturing environment
• Work effectively and flexibly within and across all Elanco R&D, external collaborators, and manufacturing sites to achieve overall Elanco R&D and manufacturing deliverables
• Create an engaging culture with a 'Play to Win" mentality
• Identify and utilize methods to deliver individual objectives in a high quality, timely manner
• Manage project timeline deliverables to facilitate delivery of the Elanco pipeline
• Design/Develop regulatory strategy and technical reports
• Maintain a positive business collaboration with regulatory authorities
• Determine regulatory needs & provide necessary reports to achieve/maintain product registration
• Coordinate, supervise and/or conduct registration activities as necessary
• Prepare regulatory technical section in partnership with development teams/manufacturing groups
• 2 years. of research on battery/electrochemistry
• 1 year. of materials science experience
• Basic knowledge on Lithium batteries
• Ph.D. in relevant scientific discipline (Biology, Biochemistry, Analytical and Pharmaceutical Chemistry) OR a M.Sc./BS with at least 5-8 years
• Proven technical expertise in developing manual or automated assays in technologies such as ELISA, ECL (MSD), Gyrolab, mass spectrometry
• Possess a working knowledge of Luminex/Bioplex and Fortebio/Biacore
• Good basic analytical concepts (concentration units, pH, calibration curves, QCs, compliance, etc)
• Good basic analytical lab operational skills (pipettors, balances, computer skills, etc)
• Excellent observational skills and the ability to work in a methodical and organized fashion
• Experience in biological sample handling from clinical or animal studies is required. - Experience in industry is preferred
• Experience with sample management systems including Watson LIMS and knowledge of GLPs, 21 CFR Part 11, and FDA and EU Bioanalytical guidance are desirable
• Exceptional oral and written communication skills, strong logical thinking skills, and the ability to work independently with minimal supervision are required
• Ability to write reports, papers, proposal sections, etc
• Ability to present results orally to wide scientific audience at meetings locally and nationally
• The ability to meet deadlines in a fast-paced multitasking environment
• Ability to work both in a team and independently
• Scientific/technical consultation: designing, conducting, and supervising experiments, including contributing to test article and facility design
• Data processing and reporting: managing program data, organizing and communicating findings to colleagues and sponsors
• Project management: estimating and tracking project costs, developing and maintaining project schedules, allocating personnel and materiel to meet project goals
• Assist with proposal preparation
• Mentorship of graduate students, postdoctoral associates, and staff
• Academic Communication: sharing new findings via refereed journal publication and conference participation
• 1) Porting non-GPU code to run on GPU’s
• 2) Design and optimize applications’ workflow and pipelines
• 3) Parallelize and optimize application through different programming models and languages
• 4) Performance analysis
• 5) Participate in the development of funding proposals, publications and reports
• PhD in mathematics, engineering or sciences discipline and 2 years of relevant experience with GPU application development and optimization, or
• MS in mathematics, engineering or sciences discipline and 5 years of relevant experience with GPU application development and optimization
• Design and perform studies to characterize molecular properties of monoclonal antibodies, proteins and peptides under clinical development
• Design of parenteral biologic formulations using preformulation principles to support development
• Of clinical formulations (lyophilized and solution) and commercial drug product
• Collaborate with process engineers to design and conduct commercial process development studies for drug product by using expertise/knowledge of scale-down/scale-up principles
• Collaborate with process engineers to provide support for successful technology transfer for manufacture of clinical supplies
• Authoring of technical reports and regulatory documents
• Keep abreast of relevant new technologies / capabilities and regulatory expectations / requirements
• Management of formulation development activities for a drug candidate ranging from timelines, project planning and coordination of studies with other groups
• Ability to coach, train and lead others in the design, execution and interpretation of experiments to drive the definition and optimization of formulations
• Ensure work and team activities are aligned with all relevant Development Quality, regulatory and HSE requirements
• PhD in Pharmaceutics or Pharmaceutical Sciences, Biochemistry, Biophysical Characterization, Chemical Engineering or related field with research focus on formulation related issues with monoclonal antibodies, proteins, peptides, or injectables
• Experience/ knowledge of lyophilized and solution formulations development, and parenteral manufacturing
• Able to independently contribute from the bench (design and execute studies to develop a formulation)
• Knowledge of process engineering first principles related to parenteral manufacturing
• Post-doctoral or additional relevant industry experience; 2 to 4 years experience in pharma or biotech company is highly desirable
• Experience/ knowledge of parenteral formulations development for clinical and commercial use (including lyophilized and solutions formulations)
• In depth understanding of protein chemistry, structure and conformation, as relates to chemical and physical stability
• Knowledge of biophysical techniques which are used to assess protein conformation (including secondary, tertiary, quaternary structure) and ability to apply these techniques for characterization and problem-solving during protein process and formulations development
• Experience with third party/ contract organizations
• Experience with the drug development process including knowledge of regulatory compliance issues and fundamental knowledge of cGMP/ GMP compliance requirements
• Lead a discovery laboratory with associate scientist
• Develop and implement in vitro and in vivo models of protein misfolding, aggregation and toxicity
• Design and execute preclinical in vivo and in vitro studies
• Perform discovery studies to elucidate novel targets and build internal expertise
• PhD in Biochemistry, Pharmacology, Cell Biology, or a related field with minimum of 2 years of academic or industry experience
• Experience in performing/designing in vitro and in vivo studies to study protein misfolding, aggregation, dysfuntion and toxicity
• Strong publishing record in the field of neurodegenerative diseases
• Extensive understanding of assay development
• Deep understanding of Neurodegeneration literature
• Strong communication/presentation/leadership skills
• Lab experience would be a plus but not a necessity
• Recent grads are OK but also like to see a few more candidates with possibly more diagnostic experience if possible
• Must possess a BS in molecular biology, biochemistry, or related field with at least one to two years of relevant experience
• Knowledge of GMP, ISO, and FDA regulations and audits a plus
• Expert skill level in general programming in one or more of these languages: Java, Javascript, Python, C++, Node.js, LISP, etc
• Master's degree in Computer Science, Artificial Intelligence, Applied Mathematics or Equivalent
• Advanced skill level with machine learning environments (e.g., R, scikit-learn, Theano, Torch, etc.)
• Advanced skill level in characterization and validation of cognitive systems via user studies
• 1) Reach conclusions based on research analysis and incorporate recommendations into larger projects. Apply advanced techniques to solving difficult problems. Approve technical feasibility of complex design concepts within area of expertise; advise management regarding appropriate action
• 2) Generate innovative solutions to complex problems through the use of multiple disciplines and technical principles. Create innovative products/processes/methods through novel combinations of expertise within the organization
• 3) Develop new or improved techniques and procedures around specific tasks; write and implement SOP's. Develop research outlines for large scientific projects. Apply state-of-the-art techniques in the area of expertise to develop new or improved products
• 4) As a good team player, share research outcomes, methodology and cycle-time reduction methods with team members and other divisional personnel
• 5) Maintain current knowledge of relevant Quality System Regulations and other regulatory requirements related to research and development (product development, design and safety) to ensure compliance in all research, data collection and reporting activities
• 6) Develop understanding and drive ownership of CT technology as it applies globally to the company
• 7) May supervise and direct Research Associates
• 3) Research lab experience includes research in GMP/QSR environment, cross-functional teamwork, and independent experimentation in method development and validation. Technical emphasis in CT technology as noted above
• Be clear experts in a field and be able to drive a research agenda that is well aligned with business needs
• Effectively communicating with senior management, colleagues, the open source community and academia
• Graduate degree in computer science, operations research, statistics, engineering, or mathematics
• The candidate must have a MS degree or a PhD degree in Computer Science, Computer Engineering, or other science/engineering related field
• Minimum 6 months of Strong systems programming and debug experience in Linux
• Minimum 6 month of experience with Virtualization and VMM internals/development
• Minimum 6 months of experience with x86 processor concepts like paging features, protected mode, etc
• Linux OS internals, Security vulnerabilities & attacks, TXT, SGX, Crypto API, a plus
• A basic understanding of fundamental security concepts
• As a research scientist you will perform practical technical work in lab, pilot and on industrial scale to
• Minimal master in chemistry, food technology or food engineering
• More than 3 years’ experience in product and process development with recognized and specialized know-how in the field of carbohydrates, with preference in polysaccharides
• Practical experience in implementing newly developed products & processes into an industrial environment is necessary
• Relevant experience & knowledge in carbohydrate chemistry. Knowledge on non-chemical modification of starch products is a preference
• Practical experience in the basic processes applied for the production of food ingredients & food products
• Accuracy in all technical work
• Attention to detail and critical mind set
• Ability to plan and prioritize the different tasks, with strong drive for business relevant results
• Curious – passion to learn more than taught and drive to understand and interpret the results (sense for innovation)
• Good collaboration with project team members – ability to work in diverse teams and pulling the right people together
• Verbal and written communication in English
• Service oriented and computer literate
• PhD in Cheminformatics, Computational Chemistry, or related field, OR have completed post-doctoral studies with an emphasis on metabolomics data analysis, particularly primary metabolite/lipid identification using spectral data
• Must have experience with encoding chemical structures (e.g. International Chemical Identifiers (InChIs)), chemical database mining, chemical graph theory, and information extraction/retrieval
• Experience with quantitative structure-activity relationship models and programming in C#, C++ or R are a plus
• Excellent communication (verbal and written) skills are required with demonstrated success in both areas represented on the candidate’s CV
• Experience with OCR and document lifecycle management
• Ability to rapidly prototype and evaluate algorithms
• Strong technical expertise in C++
• Understanding of Multi-threading, concurrency, parallelism and synchronization
• Experience in Distributed computing platforms will be a plus
• Experience in Distributed computing platforms
• Experience in developing small foot print vision algorithms on Mobile platforms
• Use statistical analysis tools to analyze employee research results and provide detailed reporting and data presentation
• 5+ years of relevant research related experience or · 3 – 5 years of post doc experience
• Proficiency in a minimum of one statistical analysis tool/package: R, SPSS, SAS, Stata, Matlab, Python
• PhD in in Statistics, Data Science, Operations Research or equivalent program
• Experience or educational background in utilizing machine learning and/or applied time series modelling
• Experience productionizing models
• Experience with cloud computing (EMR, S3, EC2, Redshift) and big data tools (Hadoop, HDFS, Hive/Pig, Spark)
• Experience using SQL for acquiring/transforming data
• Experience using the Linux command line
• Experience in working with data about people (e.g. demographics, ethnography)
• PhD in immunology or a related discipline, with postdoctoral experience
• Experience working with mice
• Expertise with immunological techniques including multiparameter flow cytometry
• Strong writing skills including the ability to produce manuscripts and grant applications
• Ability to work independantly
• A history of productivity with multiple first author publications in peer-reviewed journals
• Strong managerial and organizational skills
• Experience in virological assays and next generation sequencing will be considered strong assets
• Experience conducting in vitro toxicology or pharmacology studies
• Experience working with whole smoke exposure systems
• Quality management experience (GLP)
• Experience with Microsoft Windows operating system and Microsoft Office desired
• Relevant postdoctoral experience in academia, national/government labs, or pharmaceutical/biotech industry for 1-5 years
• A solid research record demonstrated by patents, publications, or presentations in the area of peptide characterization, assay development, bioanalysis
• A strong understanding of peptide/protein chemistry, structure, conformation, physicochemical properties and the relationship to solution behavior, self-association, aggregation, chemical and thermal stability
• Experience with a range of biophysical and chemical analytical techniques (HPLC, AUC, dynamic and static light scattering, CD, ITC, SPR assays, spectroscopic methods) that can be applied for thorough characterization of peptides and proteins
• A Ph.D. in Polymer Chemistry or a related field (Analytical Chemistry or Physical Chemistry or Organic Chemistry) with a strong research and coursework emphasis in polymer chemistry and analytical polymer characterization
• Minimum of two years of experience in analytical lab is preferred
• A thorough understanding of polymer synthesis, properties of polymers and the behavior of polymers in solution
• Excellent instrument skills including instrument maintenance and simple instrument repair by in-house diagnostic efforts and/or outside service
• In-depth knowledge of the techniques of polymer characterization named above and familiarity with other analytical techniques: LC, LC/MS, GC, GC/MS, NMR, IR, etc
• Anticipate needs of R&D and manufacturing by proactively developing improved, impactful analytical methods
• Transfer new methods to plant and coordinate test method alignment activities
• Interface with plant and project teams to contribute directly to the test method development and improvement for process improvement and synthesis of new products
• Develop into a recognized expert in the fields of polymer chemistry and polymer characterization. Contribute expertise to R&D programs and the company in general
• Maintains a safe work environment for self and others
• Participates in peer and area coordinator safety audits and attend all required safety meetings & training
• Demonstrate a high level of creativity, strong analytical and communication skills
• Project management and leadership skills are preferred
• Leading use of equipment for monitoring human movement and performance
• Designing approaches to address research projects
• Leading data collection, processing, and analysis
• Formulating methods for user testing, interviews, and focus groups
• Obtaining necessary IRB approval for experiments
• Synthesizing results for publication or presentation
• Presenting research results at local and national meetings
• Writing reports and publications
• Assisting in the preparation of grants
• Developing outreach materials for sharing science with broader community
• Leading outreach visits and tours with local schools and community
• Monitoring and mentoring the work of junior staff and students
• Strong mentorship experience working with students and clinical partners
• Experience working in a medical environment or with clinical partners
• Experience preparing research publications and/or grants
• Programming experience (e.g., Matlab, Python, LabVIEW)
• A BS with a minimum of 5 years of experience, or an MS with a minimum of 3 years of academic/industrial research experience in molecular and cancer cell biology
• Demonstrated independence in experimental design, execution, data analysis and troubleshooting
• Excellent communication skills with ability to effectively communicate both oral and written scientific results to peers, supervisor and department teams
• Detail-oriented with excellent organizational and record-keeping skills
• Expertise of a wide range of in-vitro cellular and biochemical assays, including cell culture, western blotting, immunoprecipitation, proliferation, ELISAs, siRNA/shRNA knockdown, stable clonal cell line generation etc., and the ability to incorporate state-of-the-art techniques to enhance productivity
• Experience with molecular biology techniques and CRISPR-mediated genome editing is desired
• Proficiency in scientific software’s such as GraphPad, Spotfire, Excel etc
• Plan, design and implement experiments to test aerosol devices for pharmaceutical use
• Design and set-up inhalation systems for animal studies
• Plasma, lung (tissue) sample preparation and drug concentration analysis using HPLC MS/MS
• Characterize aerosols using Next Generation Impactor (NGI) and other appropriate analytical techniques, such as, but not limited to HPLC, optical and fluorescent spectroscopy, particle size assessment, microscopy
• Develop analytical methods
• Prepare reports and maintain records, as necessary
• Requires a PhD degree in Analytical Chemistry, Biomedical Engineering, Biochemistry, Biophysics, Pharmaceutical Sciences or a related discipline and up to 3 years of experience in a biotech/pharma company research environment; or MS degree with a minimum of 6 years relevant experience
• Experience in relevant analytical techniques / instrumentation, especially mass spectrometry, is required
• Knowledge of inhalation delivery systems, such as Nebulizers, Dry Powder Inhalers (DPI), or Metered Dose inhalers (MDI) is highly desired
• Knowledge of nanoparticle drug delivery systems is desired
• Knowledge of statistics, data processing and documentation is also desired
• Producing a long-term technology vision that impacts Intel graphics hardware and software products
• Publishing your work in leading conferences and journals
• Comprehending, analyzing and extending techniques described in rendering literature
• Creating real-time rendering effects using current and upcoming graphics APIs (OpenGL, Vulkan, DirectX 12)
• Background in relevant industries including video game development, rendering software or visual effects in film
• Familiarity with parallel programming environments such as TBB, CUDA or OpenCL
• Conducts and/or participates in assigned technical tasks in support of complex multi-disciplinary technical projects, which may include: dilute agent standards program, chemical agent neutralization processes, waste water treatment of Hydrolysate and bio-effluent, thermal treatment processes, and air sampling and analysis to meet data quality objectives
• Participates in laboratory initiated technical projects to evaluate method efficacy and efficiency, develops laboratory operating procedures, prepares technical specifications, and extrapolates and interprets technical data for completeness, reasonableness and fit
• Participates in the development of materials for presentation of results to clients, regulators, stakeholders, and in public forums. Participates in scientific conferences, peer review panels, and increases company visibility through publications, as necessary
• Conducts quality and peer review of laboratory generated data, work flow assessments, write and review technical laboratory documents, analyze data integrity and trends, and drafts the required government correspondence memos
• Conducts routine preventive maintenance and corrective maintenance on highly specialized laboratory equipment, recommends and justifies evaluation of new products to meet business requirements within the lab
• Builds relationships with internal and external clients and is recognized as subject matter expert by external stakeholders (CDPHE, OPCW, ACWA, etc.) in all facets of sample preparation, analysis, and reporting for the responsible area of study
• Assists in the development requirements of the labs technical scope associated with the agent standards program. Candidate shall identify required staffing, materials, equipment and schedule elements necessary to execute work
• Assigns, trains and mentors less experienced technical staff
• Flexibility to respond to urgent project requests and/or changing priorities. This position will be required to work a schedule of rotating shifts (12 hours nominally), including weekends and holidays
• This position involves work near or with toxic and hazardous materials and requires ability to wear protective clothing/mask. Must be able to lift up to 40 LBS. Must be clean-shaven; must wear seat belts when driving or riding in vehicles on post
• BS in Software Engineering, Computer Engineering, Mathematics or Physics discipline(s)
• Must be able to obtain a DOD clearance to start and eventually obtain a Top Secret SAP/SAR clearance
• Educational background in computational electromagnetics, applied mathematics, or prior experience in Computational Electromagnetic (CEM)
• Experience in High Performance Computing (HPC) in parallel processing environments
• Experience leading teams and interfacing with external customers. Experience in leading code development teams and basic project management skill sets desired
• Technical leadership responsibility representing Formulation and Delivery on cross-functional drug discovery teams
• The selected candidate will work closely with protein engineering scientists, peptide chemists, ADME scientists, and biologists to characterize and understand how biophysical and formulation properties of novel biotherapeutic peptides, proteins, and antibodies relate to the overall profile of a clinical candidate molecule. Optimization of a clinical candidate can include molecular optimization, formulation optimization, or both. Thus, the ability to work collaboratively across multiple disciplines is an important aspect of this job
• The selected candidate will be expected to develop and optimize analytical and screening methods aimed at selecting molecules with properties that will enable long-term technical success through pre-clinical and clinical development, extending from API manufacturing to drug product formulation and compatibility with delivery devices
• The selected candidate will seek to understand development and manufacturing issues associated with biotherapeutic formulation and delivery to implement creative, discovery-based screening and optimization strategies
• Evaluation of external research opportunities
• Ph.D. in biochemistry, chemistry, pharmaceutical sciences or related field
• Candidates with strong demonstrated accomplishments in protein chemistry, biophysical chemistry, formulation research, and/or protein structural analysis are encouraged to apply
• Post-doctoral research experience in related field
• Demonstrated success in working independently and as part of a larger group
• Knowledge of and/or experience in protein structure, stability and degradation pathways, protein modeling, protein-protein interactions, and protein formulation
• Ph.D. in Chemistry, Bio-organic Chemistry, or related field
• Strong understanding of peptide chemistry and organic chemistry, with the ability to merge the two fields
• Experience with solid-phase peptide synthesis, peptide purification and analysis by mass spectrometry
• Expert knowledge of peptide structure, and experience with various biophysical methods typically used in their characterization
• The successful candidate is expected to be highly creative and have a record of accomplishment, as evidenced by their publication record
• He/She will also be a team player, flexible and ready to overcome a variety of scientific challenges in the spirit of driving projects to completion
• Excellent communication skills are imperative
• Develop functional predictive methodologies, working with Analytical Chemist colleagues, related to protein chemistry and its impact on nutritional formulation
• Validate and correlate these predictive methods through experimental testing across a wide variety of nutritional formulations
• Lead scientist in developing plans, executing experimental designs, and interpreting results on highly complex projects
• Interpret test results and develop conclusions and action plans. Communicate analytical/scientific principles through verbal updates and written reports to a broad-based audience
• PhD in Food Science or related scientific field with relevant experience, typically
• MS in Food Science or related scientific field with 5+ years relevant experience, typically
• BS in Food Science or related scientific field with 10+ years relevant experience, typically
• Conducts literature searches to inform and support the departmental research mission
• Develops study aims and appropriate methodology to test those aims
• Develops clinical research proposals
• Searches for grant targets and writes fundable grant applications
• Ensures studies are designed and conducted in accordance with all pertinent regulatory guidelines
• Enrolls patients and collects study data
• Analyzes research data and writes progress/regulatory reports as needed
• Prepares research abstracts for presentation at scientific meetings
• Prepares research manuscripts for publication in peer-reviewed journals
• Prepares and delivers clinical research didactic presentations
• Actively participates in the Emergency Medicine Research Review Committee and the Pediatric Emergency Medicine Scholarship Oversight Committee
• Available to be present on site after hours, including occasional nights and weekends
• Available to respond to email and pager alerts after hours, including occasional nights and weekends
• Ph.D in a relevant discipline with 0+ years, M.S with 8+ years, or B.S. with 10+ years of laboratory experience with in vitro immunology research
• Experienced in primary cell culture, immune cell assays, and proficiency in flow cytometry
• Experienced with bioinformatics tools and statistics for analyzing large biological datasets
• Have excellent work ethic, demonstrate initiative and an interest in professional development
• Effective time management and flexibility to adapt in a fast-paced industrial setting
• Good working knowledge of flow cytometry data analysis software (ex. FlowJo, FCS Express) GraphPad Prism, and Microsoft Excel and PowerPoint
• Industry experience in immune-oncology is a plus
• Conduct research in gravitational wave physics towards scenarios for multi-messenger astronomy and numerical relativity
• Develop and implement scenarios for multi-messenger astronomy by working with NCSA groups in LSST/DES, Gravity, DXL, Cactus, Laser Interferometer Gravitational-Wave Observatory (LIGO) and Blue Waters, as well as faculty in astronomy, physics and other departments
• Prepare and deliver talks on the activities of the NCSA Gravity Group, and research activities
• Manage the NCSA Gravity group, working as a deputy for faculty leads, to coordinate tasks related to proposal and document preparation, tracking of tasks by students and postdocs, tracking of progress to project deliverables, manage budgets, hosting visitors, and liaising with other NCSA groups and Illinois departments
• Develop tools for community use in computational and data-intensive science and engineering, including the Einstein Toolkit, LIGO software suite, and astrophysics data sharing
• Ph.D. in astronomy, physics or related field
• Experience in managing a complex, interdisciplinary scientific collaboration
• Experience working with LIGO consortium including understanding of LIGO policies and working practices
• Experience writing and submitting research proposals to the NSF
• Experience using LIGO software (LALSuite, LALSimulation) and the Einstein Toolkit
• Experience with core software development technologies (including source code versioning and unix shells), programming languages (including C, C++ and Python); computer algebra (including Mathematica and MATLAB), HPC tools and libraries (including MPI, HDF5); and multiple supercomputer platforms
• At least four years of research experience beyond the PhD, with solid publication record, as a postdoctoral researcher or equivalent position, involving gravitational physics related data analysis, numerics, and computation
• Familiarity with multiple of the following projects most relevant for developing a multi-messenger program at NCSA: NanoGrav, Cactus/Einstein Toolkit, LSST, DES, Blue Waters, XSEDE, NDS
• Develop algorithms to facilitate image analyses
• Conduct Proof-of-Concept internal and external clinical research on human volunteers to Research relevant biological, physiological and physical properties of the skin and to demonstrate the in vivo efficacy of cosmetic ingredients or/and formulations
• Help develop novel new imaging or bio-instrumental methods that can provide new insights and new claims
• Collaborate with Claims and R&D Technology Innovation groups in translational research for the evaluation of new technologies and claims
• Advise basic science teams on relevant causes for skin conditions based on skin measurement research
• 2-5 years relatable experience
• Leading a design and sampling plan development process with the faculty directors and key members of the Zanetz Initiative team and affiliated faculty
• Coordinate the ongoing work of the HELS with HGSE and Harvard affiliated faculty, partner MA state ECE leadership, as well as with a technical working group of national expert advisors
• Coordinating the work of data collection via a contracted research firm which will include
• Embedded OS-level software enabling resource-efficient high-precision sensor processing, modeling and analytics
• Multi-modal edge-device-based deep learning models of human behavior and context reasoning in the wild
• Exploration and understanding of new sensor modalities
• Disruptive end-to-end applications in the areas of digital health, smart home and quantified enterprise
• Carry out groundbreaking research in the areas of Mobile Systems, Ubiquitous Computing and Applied Machine learning with focus on above mentioned research agendas for creating both theoretical innovations and novel practical implementations
• Contribute to the technical definition of research objectives and programs
• Propose and publish research for the major research publications worldwide
• Create and maintain strong collaborative associations with university-based researchers, other leading research bodies, and product business units
• Keep an active and visible role in the research community through conference committees and reviewing panels
• A Ph.D. in Computer Science with a strong focus on topics within UbiComp, Mobile Computing or Applied Machine Learning. PostDoc experience is a plus
• Comprehensive understanding of Mobile and Embedded Operating Systems and Mobile Application Frameworks (e.g., Android / iOS)
• Extensive experience in Machine Learning and Data Mining techniques (especially deep learning methods) for processing sensory signals (vision, speech, motion, etc.)
• A proven track record in research, with publications in prestigious journals and conferences
• Strong written and spoken communications skills
• Ability to conduct independent research while also contributing to team oriented project
• Provide ADME/DMPK expertise and scientific leadership for the nonclinical and clinical development and registration of drug candidates
• Lead collaborative research projects to increase mechanistic understanding of clearance and distribution processes and improve translatability of preclinical models
• Design, oversee, analyze, and interpret nonclinical and in vitro ADME studies, utilizing internal labs, outside collaborators, and contract research organizations
• Collaborate on multidisciplinary teams to design and implement Clinical Pharmacology plans
• Collaborate with Toxicologists and Pathologists in the safety assessment of drug candidates
• Writing internal reports, scientific publications, and global regulatory documents
• Interact with and influence global regulatory agencies
• Contribute to due diligence reviews of external opportunities
• Ph.D. in biochemistry, pharmacology, pharmaceutics, pharmacokinetics, or related discipline
• Experience: Minimum 3 years pharmaceutical industry experience in a similar role
• Deep expertise in one of the following areas
• Microdissection and microsurgery
• Immunocytochemistry, confocal microscopy, image processing
• Laser ablation of cells in embryos and larvae
• Optogenetic excitation of neurons and optical recording of neuronal activity
• High-speed video analysis of behavior
• Construction of transgenic lines of insects and crustaceans
• Lead a discovery laboratory with multiple associate scientists
• Provide technical and scientific guidance on IHC and imaging methods
• Help develop and characterize novel in vivo models of Alzheimer’s and Parkinson’s disease
• Design and execute preclinical in vivo studies
• Lead multi-disciplinary teams for preclinical development of therapeutics and contribute as an integral team member for clinical development (discovery through full clinical implantation)
• Become an internal and external thought leader for the field of neurodegenerative diseases
• PhD in Biochemistry, Pharmacology, Cell Biology, or a related field
• Industry experience preferred
• Experience in neuropathology, immunohistochemistry and confocal imaging techniques
• Experience in performing/designing ex vivo and in vivo studies in animal models of neurodegenerative diseases
• Develop models, tools, and policy for open access data and publications
• Research and develop software for community tools such as yt (a project that supports structured, variable-resolution meshes, unstructured meshes, and discrete or sampled data such as particles), yt Hub, Renaissance Simulation Laboratory and Whole Tale between institutions and groups
• Conduct research in astronomy, astrophysics, and/or related areas of physics and computational science
• Develop community models and tools for use in astronomy specifically, and computational and data-intensive science and engineering more generally
• Lead the development of scalable algorithms and codes at the Petascale, as well as the development and deployment of computing and data-services and tools for teams at NCSA, including the Innovative Software and Data Analysis (ISDA) Division, the Innovative Systems Lab (ISL), the National Data Service (NDS), Blue Waters, Extreme Science and Engineering Discovery Environment (XSEDE) visualization and astronomy groups, and other science communities
• Connect to faculty, postdocs, and students on campus, especially in the Astronomy, Computer Science, and Physics Departments, including joint supervision of undergraduate and graduate students, and postdocs in these departments
• Supervision will involve assigning project tasks, monitoring and evaluating job performance
• Ph.D. in astronomy, physics, or related field required. Alternative degree fields will be considered if accompanied by equivalent experience (depending on nature and depth of experience as it relates to current NCSA projects and technologies)
• At least 2 years’ parallel programming experience including development, porting, and evaluating the scalability of one or more parallel applications/libraries written in Fortran, C, and/or C++
• Experience with the yt project (yt-project.org)
• Experience with data sharing tools and platforms
• Perform research to advance the science and technology of intelligent machines
• Experience manipulating and analyzing data from different sources
• Experience in theoretical and empirical research and for answering questions with research
• Knowledge in some programming language
• Outstanding background in science and mathematics. Emphasis in food chemistry including proteins behavior in complex food systems, oxidation and antioxidants, and Maillard browning
• Advanced knowledge of microscopy, rheology or other techniques that will allow in depth understanding of product behavior during processing and shelf-life
• Understanding of emulsions and micro-emulsions, encapsulation and extrusion
• Excellent written and verbal communication skills to communicate full relevance of scientific observations and to produce documents and reports. Strong organizational skills
• Basic and some advanced computer skills (includes word processing, spreadsheets, instrumentation related to Abbott network systems and advanced technical software)
• Team oriented, with high energy and desire to achieve results. Ability to work in multidisciplinary teams and meet business goals
• Ability to generate and translate innovative concepts into technically feasible and consumer-relevant products
• Provide support for discovery, toxicology, cell culture, purification, formulation, and manufacturing
• Oversight for method transfers to development, QCL, or third party personnel
• Coaching, training, and administration of performance management to personnel (primarily, but not limited to, direct reports)
• Ensure work and team activities are aligned with all relevant development quality, regulatory, HSE, GLP, and GMP requirements
• Ph.D. in bioanalytical, biophysical, biochemistry, molecular/cell biology, or related field
• BS with 10+ years of relevant experience or MS with 6+ years of relevant experience in bioanalytical, biochemistry, molecular/cell biology, or related field
• Chemistry experience with knowledge of one or more of the following, as appropriate: separation sciences, immunochemistry, biophysical/biochemical characterization, molecular biology, and bioanalytical sciences
• Demonstration of scientific leadership skills
• Experience with the drug development process, including knowledge of regulatory compliance issues
• Fundamental knowledge of cGMP/GLP compliance requirements
• Experience with the supervision of direct reports
• Strong background on computer security including encryption/decryption algorithms, signing and verification infrastructures, system attacking and defense techniques, system hardening techniques
• Understanding on trusted computing technologies including TPM and TEE (Trusted Execution Environment)
• Solid knowledge on Linux programming in both user level and kernel level
• Soft skills including good English and Chinese communication skills, good team working, self-motivated and quick learner skills
• Experiences on virtualization is a plus
• Understanding of RoS (Robot operating system) is a plus
• Knowledge on any robot technology is a plus
• Experience in developing and implementing state of the art algorithms for autonomous systems
• Experience in sensor fusion algorithms and integrating algorithms for autonomous systems
• Knowledge of standard sensors for autonomous systems
• Expertise in Matlab, C++
• 1) Design, monitor, analyze and report in vivo studies intended to support the development of new products. 2) Partner with toxicologists, pathologists, and other R&D functions to develop optimal strategies to address specific safety issues. 3) Contribute to and author regulatory documents. 4) As a subject matter expert, interact with global regulatory agencies and various internal stakeholders to address questions on efficacy and/or safety of products in development. 5) Independently plan, execute and manage projects/programs that both span multiple disciplines and incorporate novel methods, techniques or approaches. 6) Incorporate knowledge of customer use and product design to predict product effectiveness/anticipate potential failures. 7) Participate and assist in organizing educational events for internal and external audiences, surgeon advisory boards for product evaluation, and due diligence activities. 8) Review of research proposals to assess scientific value and compliance with relevant animal welfare regulations and standards. 9) Present research results at external and internal meetings; author manuscripts for publication in peer reviewed journals. 10) Sought out by other teams and individuals to offer technical advice; may act as coach, mentor, supervisor and technical advisor to junior members within the discipline
• 1) Must possess strong knowledge of preclinical sciences and surgical model development. 2) Must possess general knowledge of regulatory environment and experience in conducting of in vivo experiments. 3) Must possess general knowledge of quality and general business systems. 4) Must be self-motivated, have good interpersonal skills, capable of analyzing and solving complex problems through innovative thought and experience. 6) Must possess strong ability to negotiate for resources and influence others internally and externally. 7) Must be able to contribute in setting strategic scientific direction for the organization and communicate the vision to his/her team members. 8) Can comfortably handle risk and uncertainty; can decide and act without having the total picture
• Bachelor's degree in a scientific discipline with at least 15 years of relevant experience, MS with at least 10 years, or PhD with at least 3-4 years of relevant experience. QSR research experience is essential and GMP experience useful
• Lab experience includes research in GMP/QSR environment, leadership of technical teams, and project management experience is desirable
• Strong programming skills in C/C++ or related
• Experience with microcontrollers
• Strong electronic and general laboratory and prototyping skills
• Experience with lasers
• Experience with RF electronics
• Research novel techniques and systems to characterize, calibrate, and optimize head-mounted optics/displays and sensors/cameras
• Develop techniques for measuring how displays, optics, and rendering work together, producing ways to improve these and better define the engineering and perceptual tradeoffs involved
• Research ways to measure aspects of these systems and their perceptual consequences, resulting in metrics for quantifying and driving the optimization of display systems
• Collaborate with both optical and perceptual researchers on the design of new hardware to extend our capability to drive the perceptual system
• PhD and/or postdoctoral assignment in computer vision, physics/optics, vision science, perceptual psychology, bioengineering, or related field
• Graduating with a PhD by fall 2017, or completing a university postdoctoral assignment
• Understanding of machine learning/optimization techniques, computer vision, image processing, optical metrology, and other methods for characterizing and calibrating sensor and display systems
• Prior experience with MATLAB, R, Python, and/or C++
• Contribute to applying the Center’s research for use by practitioners by designing and delivering technical assistance services for employers
• Prepare and deliver seminars and training for business leaders and representatives
• Contribute to linking the Center to broader NIOSH, local, state, national, and international efforts for outreach networking and education
• Contribute to the development and implementation of evaluation measures to assess organizational change related to worker safety and health
• Contribute to the design, collection, interpretation and application of qualitative and quantitative research, conducted to inform and evaluate organizational interventions to protect and promote worker health
• Collaborate on data analysis and manuscript preparation
• Collaborating with colleagues on internal programs and externally with suppliers and universities
• Pursue research in areas in the automotive industry that include adhesives, coatings, plastics and composites, tribology, electronic devices, catalysts, thin films, and surface treatment technologies
• Additional responsibilities within the Surface Group consist of experimental method development, root cause failure analysis, as well as support for the operation and maintenance of the surface analysis equipment
• B.S. Chemistry/Physics/Materials Science – (candidates must be in the process of pursuing a PhD)
• 3+ years in surface science and use of the scientific method (academic experience considered)
• 3+ years demonstrated capability in research and development, experimental scoping and design, analysis and documentation of results
• 2+ years of hands-on experience of one of the following high-vacuum surface analytical techniques: XPS, SIMS or AES
• 2+ years ability to operate and maintain surface analysis equipment
• PhD - Chemistry/Physics/Materials Science
• Minimum of 2 years of hands-on experience operating time-of-flight mass spectrometer
• Exemplary written and oral communication skills
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• Strong programming skills in Node.js (can be changed to Java for the future version of HL)
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• Good exposure to Agile software development and understand Agile principles including scrums, milestone and iteration planning
• Experience in design and implementation of new technologies/products
• Golang programming skill is a plus
• GUI development Skill is a plus
• Good at test design and test plan skills
• Solid Database fundamental knowledge
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• Master's degree and above
• Has solid computer science fundamental knowledge and skills
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• Self-motivated and good team work spirit

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Resume examples & templates, we have curated resumes for more than 500 designations and professions below. resumes are grouped by industry and domains. scroll down and you might just find the perfect resume example for your designation or area of expertise. we are constantly updating the list., research scientist - resume example & template, description.

Research scientists devise, formulate, and execute investigative protocols that tackle deficits in scientific knowledge. They then disseminate insights obtained by publishing in authoritative documents. The research scientist detect consequential knowledge gaps, formulate comprehensive research strategies, and then execute rigorous methodological and analytical steps.

Resume of Research Scientist in Text Format

RACHIT BAID 

9953776253 | [email protected] | LinkedIn: linkedin.com/company/getsetresumes

RESEARCH SCIENTIST-leveraging 6+ years of experience

Inquisitive research scientists mainly responsible for designing, undertaking, and analyzing information from controlled laboratory-based investigations, experiments, and trials. Experience in working in all science-related arenas including geoscience, medical research, meteorology, pharmacology, and many more. Potential to work in a specialized setting to conduct classified research aiming to contribute to the scientific developments and up gradation of the nation.   

PROFILE SUMMARY

• Serves as a key research scientist who is recognized as an authority on topics related to biotechnology.
• Post-doctoral experience focused on innovative research in immunology and biology with proven achievements in pharmaceutical, biotech, and academic environments
• Plans, designs and conducts highly specialized, technical and unusually complex research projects independently.
• Demonstrated proficiencies in gene discovery and biotechnology product development
• Exercises considerable latitude in determining research objectives and approaches.
• Contributes to the development of advanced concepts, techniques and standards
• Efficient in keeping up to date with relevant scientific and technical developments
• Adroit in supervising junior staff including technicians
• Ability to prepare technical reports and presentations that explain their research and findings

CORE COMPETENCIES

• Biotechnology
• Project Research & Supervision
• Research Chemistry
• Pharmacology
• Medical Technology Research
• Scientific Research & Development
• Academic Teaching
• Laboratory Work & Experimentation
• Immunology & Biology

PROFESSIONAL EXPERIENCE

Baylor College of Medicine, Chennai | Feb. 2020 – Present

Research Associate

• Carry out the laboratory's work of conducting federally funded studies in the retina to understand the signaling mechanism of vision and pressure-related conditions, such as glaucoma and other pressure-caused visual damage
• Record retinal neurons in different conditions, generate animal models, perform morphological studies, and collaborate on other works
• Conduct routine laboratory tasks mainly including patch-clamp recording of individual retinal neurons, preparing solutions and reagents, making living retinal slices and whole mounts, single-cell labeling, confocal observation, animal handling, etc
• Contributed to experimental skills including patch-clamp recording in living slice preparations, retinal dissection and handling, immunofluorescence, confocal microscopy, etc
• Analyse compounds using a range of analytical techniques
• Demonstrate proficiency in interpreting basic data sets and providing summaries
• Undertake electronic searches for applicable methods and related procedures

Gilead Sciences, Chennai | Jan. 2015 – Jan 2020

Research Scientist

• Worked closely within inter-disciplinary project teams deployed in multiple therapeutic areas
• Proactively delivered structural and computational expertise to influence efforts in target and lead identification as well as lead optimization
• Contributed to directing and executing scientific research for the discovery and development of drug candidates or the research support of marketed drugs
• Investigated the feasibility of applying advanced principles and techniques of related scientific specialty to potential inventions, products, and problems
• Recommended the development of economical, state-of-the-art techniques toward the discovery of therapeutic products
• Planned, designed, implemented, and analyzed computational strategies to advance scientific knowledge of drug substances or techniques to identify such substances
• Provided direction to research associates or members of project teams in the initiation and execution of laboratory experimentation, considering economic and safety factors
• Worked on complex problems where analysis of situations or data required evaluation of intangible variables, requiring regular use of ingenuity and creativity
• Made contributions to scientific literature and conferences through the publication and presentation of research results
• Participated in the development of patent applications
• Acted as a resource and provided work direction for other research personnel
• Demonstrated the ability to recognize anomalous and inconsistent results and interpret experimental outcomes

Francis Martin Hospital, Chennai | Nov. 2011 – Nov. 2015

• Initiated, interpreted, organized, executed, and coordinated research assignments critical to the department's mission
• Formulated and conducted research on problems of considerable scope and complexity
• Explored subject areas and defined scope and selection of problems for investigation through conceptually related studies or series of projects of lesser scope
• Made decisions and recommendations that have a major impact on extensive scientific research activities
• Developed new ideas that promote current research and ensured timely and accurate completion of research projects
• Exercised a high degree of creativity, foresight, and mature judgment in planning, organizing, and guiding extensive scientific research programs and activities of outstanding novelty and/or importance
• Managed the operations of a lab for the principal investigator by supervising post-docs and technicians
• Oversaw the maintenance and upkeep of all instruments and laboratory facilities
• Provided students with technical guidance and direction in the operation of various sample preparation techniques, extraction lines, and equipment as well as general laboratory practices and safety protocols
• Sought grant funding from external sources in support of their independent research projects with the consent of the concerned supervisor and the department chair
• Participated in writing grant proposals
• Looked after research/lab quality control and compliance and developed protocol for the collection and quality of research data and research techniques and methodologies
• Determined and established laboratory policies, procedures, and practices
• Maintained a thorough knowledge of the advances in specialized fields through attendance at scientific conferences
• Made significant contributions to scientific papers and functioned as resource/ author/ co-author for reports and presentations
• Recommended equipment purchases and redesign of lab space
• Coordinate the activity and experimental design between various labs, scientific staff, and collaborators
• Identified and resolved technical problems
• Served on internal committees to help further the goals of research projects and bring new expertise to the research program

Campbells, Chennai | Oct. 2008 – Oct. 2011

Research and Development Scientist

• Developed broth soup product design from concept to commercialization of base innovation, renovation, cost optimization, and quality initiatives
• Supervised design and executed identified projects and possessed a strong knowledge of technical principles, and product commercialization processes and applied that knowledge towards designing new products or reformulating existing products
• Worked with the technical and business teams to identify and define product concepts and establish project objectives
• Helped in the development and execution of project timelines, including contingency planning
• Leveraged vendor capabilities to expand formulation possibilities, research new ingredients, product technologies, and/or processes to develop unique and innovative products to increase speed to market
• Developed prototypes to support concept and ideation exploratory work
• Formulated products for scale-up and reformulating based on consumer direction
• Conducted trials in the manufacturing facilities to assess manufacturing capability and consumer acceptability
• Interfaced product design with various nutritional guidelines, and cost constraints
• Worked with process development and supply chain to identify internal or external manufacturing needs
• Demonstrated flexibility and agility to react rapidly to changes in project scope
• Determined the root cause problem and execute effective solutions
• Generated awareness of industry developments to pursue ingredient, product, or technology advances for application to new and innovative product initiatives   

ACADEMIC CREDENTIALS  

• M.Sc. (Biotechnology) Vellore Institute of Technology Chennai | 2008
• B.Sc. (Biotechnology) Loyola College Chennai | 2005

PERSONAL DOSSIER

Languages Known: English & Tamil 

~References and other documents available upon request ~

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Research Scientist Resume Samples

This page provides you with Research Scientist resume samples to use to create your own resume with our easy-to-use resume builder . Below you'll find our how-to section that will guide you through each section of a Research Scientist resume.

Tips for writing your resume

To land the perfect job, you need the perfect resume. In today’s crowded job market, it is more important than ever to stand out among the competition. When you write your resume, it is vital that you get everything right, from the organization of the template to the details of your work experience. To make sure your resume is flawless, here are some tips for writing the best resume possible.

Let them know where to contact you

Your resume should begin with your contact information. It is very important that potential employers, having read your resume, know how to contact you! At the top of your resume, include your name, phone number, email address, and city.

Introduce yourself

A personal summary, though optional, is a great way to introduce yourself to an employer with your resume. This section is comprised of one or two paragraphs where you can feature your notable accomplishments and highlight your most valuable skills. Your summary should give employers a brief outline of your experience and capabilities and intrigue them to keep reading.

What do you do best?

Shorter than a work history section, in a skills section you can efficiently list your core competencies in a way that is direct and easy to read. Showcase the skills and abilities that you bring to the job, focussing on those which distinguish you from the competition. The more useful and unique your skills are, the more you will stand out to an employer.

Showcase your achievements

Display your work experience in reverse-chronological order, beginning with your most recent position at the top of the section. Describe for each job your title, responsibilities, and accomplishments, with a focus on performance and results rather than duties. Use action words like ‘developed, ‘produced’, and ‘delivered’ when describing your work history to create compelling and impactful descriptions of your experience. Highlighting quantifiable information, like performance metrics and revenue, is a great way to demonstrate your abilities.

What did you learn, and where did you learn it?

Your education section should include the name of any post-secondary schools you attended, the degrees you earned, and any academic distinctions you achieved that you deem worth featuring. If they are particularly relevant, you can also include major areas of study and important projects that you participated in. Like the work experience section, your education should be displayed in reverse-chronological order.

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Research scientist Resume examples

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All examples are written by certified resume experts, and free for personal use. Copy any of the Research scientist resume examples to your own resume, or use one of our free downloadable Word templates. We recommend using these Research scientist resume examples as inspiration only, while creating your own resume.

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Research assistant

Coordinated 4 unique case studies on campus, each with 50+ student participants, to define and assess various campus activities and student body tendencies. Collaborated with professors to run interactive and hands-on group studies.

• Formed and presented topic ideas for various research initiatives over the course of undergraduate career.
• Defined hypothesis, study groups, variable elements, and expectations for each approved case study.
• Created and distributed polls, interview questions, and surveys to attract study participants and gather preliminary data.
• Led group studies and coordinated research tasks including presentations, Q&A’s, and interviews.
• Gathered, assessed, and correlated data for each study into tailored presentations.

Research scientist

Worked with a variety of individuals in need of being presented with research data.  Verified that data provided by companies, groups, and individuals is accurate, comprehensible, and up to date.

• Formulated and created confidential survey questionnaires for college students for the purpose on gathering information on drinking and drug use on campus.
• Organized focus groups for conducting research on dating, relationship, and marriage trends.
• Worked in congruence with an advertising firm to propose methods on appealing to customers in the millennial demographic.
• Prepared, presented, and disseminated results to clients in the form of Excel spreadsheets and Word files.
• Published academic papers to be retrieved from electronic databases.

Provided scientific technical support for medical professionals. Maintained standards of intellectual honesty in formulating conducting, presenting, and reviewing research.

• Trained and supervised 20+ undergraduate and graduate students in medical program and mentored 5 lab assistants.
• Published and presented research findings in medical related fields at conferences around the world.
• Investigated methods to alleviate symptoms in patients being treated for lymphoma.
• Peer reviewed journals and discussed research and writing improvements and suggestions to students in graduate school program.
• Applied for grants and funding for research on how cancer cells react to a variety of hormones.

Performed research and data collection duties for university in the geology department.  Prepared presentations and slideshows featuring collective research for professors to use in their curriculum.

• Mentored undergraduate and graduate students by leading them in teams of 4 for collecting rare crystals and analyzing their attributes.
• Wrote up documentation and reports on findings related to the preservation of minerals in the Earth’s crust.
• Proofread and edited dissertations and theses written by PhD candidates.
• Complied with the guidelines set for conducting ethical and principled research.
• Kept a record of laboratory inventory and stocked up on the most up-to-date equipment when necessary.
• Followed university standards in maintaining a clean and safe working environment.

Provided information for consultants regarding financial trends and predictions. Was part of a team of 12 for a research project involving stress reducing strategies for money managers.

• Worked under the supervision of head researcher for consulting firm.
• Followed the necessary protocols and guidelines in forming and establishing research queries.
• Collected data and kept a data log for archival purposes.
• Planned strategies to find and collect data to be interpreted and analyzed.
• Drew up graphs, filled out spreadsheets, and created presentation slides for the presentation of results.
• Obtained a certificate in quantitative analysis.

Provided proven and thoroughly researched medical solutions for a hospice looking to decrease joint pains in elderly patients.

• Wrote and edited peer reviewed journals covering the causes and symptoms for muscle and bone loss and analyzed and criticized current medical treatments.
• Collaborated with medical professionals in determining the most effective medications and physical therapy practices for elderly and disabled patients.
• Performed a study on and surveyed younger adults to predict the likelihood that one would develop health conditions such as osteoporosis and osteoarthritis at a later age.
• Followed the five principles of ethical research when conducting experiments.

Worked with insurance company in determining the best rates via research from past claims for assisting individuals affected by carbon monoxide poisoning.

• Designed and developed a website for conducting multiple choice surveys on the quality of healthcare and insurance.
• Researched and proposed new approaches for finding data and implementing it.
• Attended staff meetings and recorded minutes logged.
• Collaborated with coworkers on a project for improving upon the affordability of health insurance.
• Reviewed, evaluated, and labeled documents that contained data for accuracy purposes.
• Performed follow-ups with insurance agents to ensure data isn’t missing or inaccurately documented.

Increased university research center website traffic by 70% by creating and integrating ArcGIS StoryMap. Leveraged relationship management skills to complete project.

• Collaborated with multiple universities to inform research center management.
• Assisted with field protocol design operations.
• Compiled, drafted, and prepared relevant reports.
• Collected onsite data to strategize StoryMap formation.
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Research Scientist CV Example

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CV Tips for Research Scientists

• Highlight Your Education and Specialization : Clearly state your degrees, the institutions you attended, and your areas of specialization. If you have a PhD or post-doctoral experience, place this information prominently in your CV.
• Detail Your Research Achievements : Quantify your impact with specific metrics, such as the number of projects led, grants won, or publications in high-impact journals.
• Customize Your CV to the Role : Align your CV content with the job's requirements, emphasizing relevant experiences and skills. If the role requires expertise in a specific research method or technology, make sure this is clearly stated in your CV.
• Specify Your Technical Skills : List your proficiency in laboratory techniques, scientific software, or equipment relevant to your field. Also, mention any experience with data analysis or statistical tools.
• Showcase Collaboration and Leadership : Highlight your experience in leading research teams, collaborating on multi-disciplinary projects, or mentoring junior researchers. This demonstrates your ability to contribute to a team and lead scientific projects.

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• Directed a team of 10 researchers in a groundbreaking study on gene therapy, resulting in 3 published papers in high-impact journals and a 20% increase in departmental funding.
• Implemented a new data analysis protocol using advanced statistical software, improving the accuracy of research findings by 30% and accelerating the data processing time by 40%.
• Developed a novel research methodology that reduced the time to results by 25%, leading to faster publication and increased recognition within the scientific community.
• Coordinated a cross-functional team of scientists and engineers in the development of a new biomedical device, which is now being used in over 50 hospitals nationwide.
• Secured a $500,000 grant for a 3-year research project on neurodegenerative diseases, contributing to the advancement of knowledge in the field.
• Presented research findings at 5 international conferences, enhancing the visibility of the organization and fostering collaborations with other research institutions.
• Conducted a comprehensive study on the effects of environmental factors on cell growth, leading to a better understanding of cell behavior and contributing to 2 peer-reviewed publications.
• Collaborated with a multidisciplinary team to develop a new laboratory protocol, improving lab safety and efficiency by 15%.
• Initiated a mentoring program for junior researchers, improving their technical skills and increasing their publication rate by 20%.
• Team Leadership and Management
• Advanced Data Analysis
• Research Methodology Development
• Cross-functional Collaboration
• Grant Writing and Fundraising
• Public Speaking and Presentation
• Comprehensive Scientific Research
• Protocol Development and Implementation
• Mentorship and Training
• Project Coordination and Execution

Research Scientist CV Template

• Conducted [type of research, e.g., clinical trials, data analysis] in collaboration with [teams/departments], leading to [result, e.g., new scientific insights, patent filings], demonstrating strong [soft skill, e.g., teamwork, leadership].
• Managed [research function, e.g., lab operations, project timelines], optimizing [process or task, e.g., data collection, experiment setup] to enhance [operational outcome, e.g., research efficiency, data accuracy].
• Implemented [system or process improvement, e.g., new lab equipment, revised data analysis methods], resulting in [quantifiable benefit, e.g., 20% time savings, improved data quality].
• Played a pivotal role in [project or initiative, e.g., drug development, environmental research], which led to [measurable impact, e.g., publication in a top-tier journal, grant funding].
• Performed [type of analysis, e.g., statistical analysis, genetic sequencing], using [analytical tools/methods] to inform [decision-making/action, e.g., research direction, policy recommendations].
• Instrumental in [task or responsibility, e.g., lab safety protocols, mentoring junior researchers], ensuring [quality or standard, e.g., compliance, professional development] across all research activities.
• Major: Name of Major
• Minor: Name of Minor

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Research Scientist Resume Examples

Writing a great research scientist resume is important because it is one of the first things a potential employer will see when they are considering you for a position. It is your opportunity to make a good first impression and sell yourself as the best candidate for the job.

Create your resume Select from 7 professional resume templates

If you're looking for inspiration when it comes to drafting your own research scientist resume, look no further than the samples below. These resumes will help you highlight your experience and qualifications in the most effective way possible, giving you the best chance of landing the research scientist job you're after.

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Essential Components of a Research Scientist's Resume

A Research Scientist's resume is a critical tool that highlights their expertise, experience, and potential contributions to a prospective employer. Crafting an effective resume is essential to demonstrate a scientist's proficiency in research, technical skills, and their professional accomplishments. An outstanding resume can significantly enhance a scientist's prospects in the competitive field of scientific research.

This guide will dissect the various segments of a Research Scientist's resume, elucidating the significance of each and providing insights on how to optimize them to showcase your strengths.

1. Contact Information

At the forefront of your resume should be your contact information, which is fundamental for potential employers to reach out to you. It typically includes your name, phone number, email address, and sometimes your physical address.

Ensure that your contact details are professional; for instance, use an email address that incorporates your name or initials rather than a casual moniker. Consider adding links to professional online profiles such as LinkedIn or ResearchGate, and if applicable, include your professional blog or portfolio to allow employers direct access to your work.

Keep this section updated and easily visible, ideally at the top of your resume, to facilitate quick contact from interested hiring managers.

2. Objective Statement

The Objective Statement serves as a succinct introduction to your resume, setting the tone for the rest of the document. It should be brief, clear, and tailored to the specific role you are applying for.

Articulate your career aspirations and how they align with the organization's objectives. Highlight your most impressive qualifications, such as expertise in a particular research area or notable publications, to immediately capture the employer's interest.

Remember, the objective statement is not only about your career goals but also about the value you can bring to the employer. Make it a compelling snapshot of your professional intent and potential contributions.

3. Education and Qualifications

The Education and Qualifications section is a testament to your academic and professional credentials. Structure this section to showcase degrees, certifications, and skills pertinent to the role of a research scientist.

• List your highest academic degree first, including the institution, location, years attended, and field of study.
• Include relevant certifications that enhance your expertise in your research area.
• Mention any specialized training that equips you with skills specific to a research scientist's responsibilities.
• Detail your thesis or dissertation topic to demonstrate your research capabilities.
• List honors and awards that recognize your academic and research excellence.
• Professional affiliations with scientific societies can illustrate your commitment to your field.
• Highlight key skills that match the job description, such as technical, analytical, and soft skills.

Emphasize how you've applied your qualifications in practical settings, such as internships or work experiences.

4. Research Experience

The Research Experience section is where you detail your hands-on involvement in scientific studies. Describe your role in various research projects, the methodologies employed, and your specific contributions.

• Outline the scope of the projects, your responsibilities, and the outcomes.
• Highlight any innovative techniques or approaches you developed.
• Include significant achievements such as publications, patents, or grants.

Quantify your impact where possible, and don't forget to mention collaborative and communicative aspects of your research experience.

5. Skills and Expertise

The Skills and Expertise section is your opportunity to showcase the abilities that qualify you for the research scientist role. Tailor this section to the job listing, but ensure to cover essential skills that are universally valued in research.

• Detail your technical skills, including laboratory techniques and proficiency with software and tools.
• Exhibit your research skills, from experimental design to data analysis and interpretation.
• Emphasize your project management capabilities, demonstrating your ability to lead and execute research projects.
• Specify your scientific knowledge in your area of specialization.
• Showcase your communication skills, both written and oral.
• Highlight your critical thinking and problem-solving abilities.
• Illustrate your collaborative nature and teamwork experience.
• Stress your meticulous attention to detail, especially in research where precision is paramount.
• Include your knowledge of safety procedures, particularly for laboratory-based roles.

Provide examples or measurable achievements to substantiate your listed skills.

6. Publications and Presentations

The Publications and Presentations section is a platform to display your scholarly contributions and your ability to disseminate complex research findings.

• List your peer-reviewed publications, including titles, publication venues, dates, and co-authors.
• Mention citations of your work to indicate its impact on your field.
• Document presentations delivered at conferences or workshops, highlighting your communication skills.
• Include poster presentations, which demonstrate your ability to visually communicate research.
• If applicable, list patents to showcase innovation and practical application of your research.

Customize this section for each job application, focusing on the most relevant scholarly work.

7. References

References on your resume can validate your qualifications and professional demeanor through individuals who have witnessed your work firsthand.

Select references who can provide detailed insights into your research capabilities and work ethic. Obtain their consent before listing them and ensure they are prepared to respond to inquiries from potential employers.

References should be formatted at the end of your resume, including their names, titles, affiliations, contact information, and your professional relationship with them.

While strong references can bolster your job prospects, they should complement, not replace, the solid qualifications and experience that form the core of an effective resume.

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Roshni Ashwindar (123) 456-1234 [email protected] 1 First Street, Los Angeles, CA 91234

Physicist with nearly 2 years of experience. Skilled at applying complex concepts and calculations in various environments. Equally effective working solo or on a team. Committed to investigating challenges and finding creative yet practical solutions. Doctor of Philosophy in Physics.

• Advanced Physics
• Analysis & Imaging Software
• Complex Problem-Solving
• Data Gathering & Analysis
• Experiment Documentation
• Mathematics
• Public Speaking & Presentations
• Research & Development
• Thermodynamics

Professional Experience

Assistant Physicist, BigLabs , Los Angeles, CA | August 2021 to Present

• Maintain Q clearance with the Department of Energy
• Apply deep knowledge of codes and regulations and safe practices
• Focused on research, development, conception, and construction in synchrotron X-ray beamline
• Investigate diagnostics to benefit customer experiments, gauge machine performance, and quantify radiation output
• Experiment with noise reduction methods to enhance the diagnostic signal fidelity

University of California Los Angeles

Doctor of Philosophy in Physics | 2021

Bachelor of Science in Physics | 2016

Sofie Yates (876) 678-8765 [email protected] 323 Sixth Street, Boise, ID 97531

Hydrogeologist with 8+ years’ experience. Versatile leader and collaborator who puts complex topics in clear terms for technical and nontechnical audiences. Skilled at analyzing data and finding anomalies for further investigation.

• Advanced Microsoft Excel
• Cross-Functional Collaboration
• Data Analysis & Interpretation
• Strategic Planning
• Task Delegation
• Team Leadership
• Water Sampling

Research Hydrogeologist, Boise State University, Boise, ID | August 2018 to Present

• Plan and execute water sampling expeditions to remote locations
• Use various equipment to measure water levels and flow rates and maintain precise records
• Supervise teams of up to 15 during borehole logging activities

Highlights:

• Co-created online education resources that raised public engagement by 21% last year
• Earned a workplace commendation in 2020 for effectively addressing water accessibility issues
• Achieved near-perfect (99.8%) water measurement and documentation accuracy

Hydrogeologist, Suez-Na, Boise, ID | July 2014 to August 2018

• Analyzed geophysical logs and presented findings both verbally and in writing
• Planned and carried out field investigations
• Worked with geochemical department to recommend chemical maintenance strategies
• Maintained up-to-date knowledge of local water rights legislation and new hydrogeological technologies
• Praised on all 4 formal reviews for outstanding teamwork
• Met all deadlines and completed 32% of field investigations ahead of time

University of Idaho, Moscow, ID

Master of Science (MS) in Environmental Science | 2014

Bachelor of Science (BS) in Environmental Science | 2012

Agapito Garcia (135) 531-1357 [email protected] 434 Fourth Avenue, Bozeman, MT 87654

Clinical Laboratory Scientist with 12+ years’ experience analyzing specimens and developing procedures in healthcare settings. Combine decisive, supportive leadership style with a talent for strategic planning and deployment. Master of Science in Biochemistry.

• Cross-Department Collaboration
• Lab Procedure Development
• Staff Training
• Student Education

Lead Clinical Laboratory Scientist, Bozeman Deaconess Hospital, Bozeman, MT | October 2015 to Present

• Calibrate lab instruments and serve as an escalation point for complex issues
• Orient new hires and continually train existing staff
• Co-develop and oversee lab procedures, and interrogate results
• Solved 89% of escalated problems within 3 hours
• Improved staff retention by 34% in 3 years
• Pinpointed and resolved 98% of anomalies in 2020
• Won a workplace award for excellent teamwork in 2019

Clinical Laboratory Scientist, Bozeman Health, Bozeman, MT | July 2010 to October 2015

• Tested and analyzed blood and urine samples, and communicated results to physicians
• Set and monitored workload for a team of 10 lab assistants
• Helped train and mentor ~7 students per year
• Monitored and replenished inventory of supplies and equipment
• Improved equipment availability by 87% in 2011
• Successfully identified 99.9% of clinically significant findings
• Raised team productivity by 45% in 4 years

Master of Science (MS) in Biochemistry, University of Montana, Missoula, MT | 2010 Bachelor of Science (BS) in Biochemistry, Montana State University, Bozeman, MT | 2008

Montana Clinical Laboratory Scientist | 2010

Science careers span industries and include various specialties, from hydrogeology to physics, health care research and development, and chemistry. When writing a science resume, focus on your area of study, experience, and career goals — and be sure to target the resume to the employer to show your relevance and value as a candidate.

Also, consider highlighting leadership, planning, and communication skills, which are not specific to science but can be important when working in a collaborative lab environment or overseeing lab assistants.

Review our below list of tips, including examples, that can help you level up your resume.

1. Create a profile by summarizing your science qualifications

An engaging snapshot of your science career will draw in hiring managers and show them the value you can bring to their workplace. Start by listing your job title, years of experience, and several specializations that align with the job posting — keep it relevant. Then, present yourself as an expert in your space. For instance, you might write that you have a track record of finding 99% of anomalies because of your problem-solving and analysis skills.

Entry-Level Profile Example

Physicist with nearly two years of experience. Skilled at applying complex concepts and calculations in various environments. Equally effective working solo or on a team. Committed to investigating challenges and finding creative yet practical solutions. Doctor of Philosophy in Physics.

Senior-Level Profile Example

Clinical laboratory scientist with over 12 years’ experience analyzing specimens and developing procedures in health care settings. Combine decisive, supportive leadership style with a talent for strategic planning and deployment. Master of Science in Biochemistry.

2. Add a compelling section featuring your science experience

To create a strong professional experience section for your science resume, describe your career achievements, not just job responsibilities. Employers want to see measurable results, so use relevant numbers to quantify your successes when possible. Demonstrate the bottom-line value of your contributions by including data, metrics, and monetary figures, such as winning $1 million in new contract business or reducing lab waste by 50%.

Consider highlighting your ability to collaborate with cross-functional teams and translate complex technical concepts into accessible language, along with your problem-solving skills. Tout mentorship strengths if you oversee teams, and note any strategic planning experience.

Mid-Career Professional Experience Example

Research Hydrogeologist, Boise State University, Boise, ID | August 2018 to present

Senior-Level Professional Experience Example

Lead Clinical Laboratory Scientist, Bozeman Deaconess Hospital, Bozeman, MT | October 2015 to present

• Solved 89% of escalated problems within three hours
• Improved staff retention by 34% in three years

3. List your science education and certifications

Aside from a bachelor’s and/or master’s degree in a science specialty, you may have earned certifications that can set your resume apart from competing candidates. While most employers are focused on professional experience, additional credentials could improve your chances of landing an interview.

For instance, a Medical Laboratory Technician (MLT) certification from The National Accrediting Agency for Clinical Laboratory Science shows you understand and practice the latest laboratory best practices and safety measures.

• [Degree Name]
• [School Name], [City, State Abbreviation] | [Graduation Year]
• Master of Science (M.S.) Biochemistry
• University of Michigan, Ann Arbor, MI | 2010

Certifications

• [Certification Name], [Awarding Organization] | [Completion Year]
• Lab Technician Certification, American Society for Clinical Pathology (ASCP) | 2019

4. List your key science skills and proficiencies

Most organizations rely on some form of applicant tracking system (ATS) to identify qualified candidates for job openings. To get your resume through the initial screening process and into the hiring manager’s hands, incorporate keywords from the job posting into your profile, professional experience, and skills section. Below, you’ll find a list of key terms and skills that you may encounter while applying for science positions:

How To Pick the Best Science Resume Template

When selecting a science resume template, prioritize readability. Ultimately, hiring managers want to learn about your experience and qualifications— they are focused on content, not design. Heavy use of color and graphics can distract readers from what matters most: the value you can bring to their workplace. Look for a template that organizes content effectively, is clean, and uncluttered.

Frequently Asked Questions: Science Resume Examples and Advice

What are common action verbs for science resumes -.

We know it’s easy to get stuck when writing the experience section of a resume. You might start to run out of action verbs to describe your work. These verbs are important because they help hiring managers visualize your contributions and how you work in a science setting and with teams. To help you with this challenge, we put together the below list of common action verbs that can describe science roles.

How do you align your resume with a science job posting? -

According to the Bureau of Labor Statistics (BLS), jobs for clinical laboratory scientists are projected to grow at an average rate of 7% from 2021 to 2031, keeping pace with most other occupations. The environmental science job outlook is 5% growth, according to BLS , though evolving regulations and government funding can always impact the growth of this and other science sectors. Overall, science is a stable industry with a positive outlook for job seekers who are qualified.

Despite steady growth, you must align your resume with the job posting to secure interviews for the most lucrative opportunities with valuable employee benefits. Science can be a competitive field. Tailor your resume to individual job postings so your experience and knowledge stand out and grab the attention of hiring managers. For example, if an employer is looking for a laboratory scientist who can develop procedures and protocols, you’d highlight your experience in that area and describe the outcome of your contributions.

What is the best data science resume format? -

Most job seekers should use the combination (or hybrid) format for their resume. True to its name, this format combines two important features of other resume formats: the chronological format’s experience section and the functional format’s profile section. (The resume examples on this page all use combination format, as do most other resumes on Resume Builder.)

A combination resume offers the best of both worlds by fusing these two features. The experience section lets you overview your recent work history – essential information for most employers. At the same time, the profile section lets you showcase your career highlights at the top, regardless if they’re from that work history or another part of your background. The resulting resume is straightforward yet strategic. It gives hiring managers the clearest possible view of your experience and relevant strengths, so they can decide to call you for an interview.

Craft your perfect resume in minutes

Get 2x more interviews with Resume Builder. Access Pro Plan features for a limited time!

After completing your science resume, write a corresponding cover letter that serves as an introduction and case for why you are an ideal candidate for the job. You can think of the cover letter as a longer form of the profile at the top of your resume. Be sure to customize the cover letter for every job you pursue and relate how your experience and qualifications meet the employers’ needs.

Feeling stuck with writing a cover letter? Read our cover letter guide to learn how. For other related cover letter examples, check out our data scientist and computer science cover letter guides.

Jacob Meade

Certified Professional Resume Writer (CPRW, ACRW)

Jacob Meade is a resume writer and editor with nearly a decade of experience. His writing method centers on understanding and then expressing each person’s unique work history and strengths toward their career goal. Jacob has enjoyed working with jobseekers of all ages and career levels, finding that a clear and focused resume can help people from any walk of life. He is an Academy Certified Resume Writer (ACRW) with the Resume Writing Academy, and a Certified Professional Resume Writer (CPRW) with the Professional Association of Resume Writers & Career Coaches.

Check Out Related Examples

Biology Resume Examples and Templates

Computer Science Resume Examples and Templates

Data Science Resume Examples and Templates

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Research Scientist CV Examples (Template & 20+ Tips)

Create a standout research scientist cv with our online platform. browse professional templates for all levels and specialties. land your dream role today.

Welcome to our Research Scientist CV Example article. This article provides a CV example for a research scientist with experience in clinical and laboratory research. It outlines the key skills and qualifications that employers are looking for in this field, and provides a comprehensive example of how to present your skills and experience in a professional and effective manner. It's a great resource for job seekers in the field of research science.

We will cover:

• How to write a CV , no matter your industry or job title.
• What to put on a CV to stand out.
• The top skills employers from every industry want to see.
• How to build a CV fast with our professional CV Builder .
• What a CV template is, and why you should use it.

What does a Research Scientist do?

A research scientist is a person who conducts scientific investigations to answer questions about the natural world. They use their knowledge of science and technology to observe, experiment, analyze, and interpret data. Research scientists may work in a laboratory, in the field, or both. They may specialize in a particular field such as biology, chemistry, physics, medical research, or environmental science. Research scientists conduct experiments, analyze data, develop theories, and write reports or papers to present their findings. They may also design and develop new products or technologies.

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What are some responsibilities of a Research Scientist?

• Designing and conducting experiments to study the properties of matter and energy
• Collecting and analyzing data from experiments
• Writing reports and presenting findings to colleagues, peers, and supervisors
• Interpreting results and making recommendations for further study
• Developing new techniques and tools to improve research accuracy and efficiency
• Maintaining laboratory equipment and keeping accurate records
• Collaborating with other scientists to develop new research projects
• Staying up-to-date on advances in the field and new methodologies

Sample Research Scientist CV for Inspiration

Personal Details: Name: John Smith Address: 456 Main Street, Anytown, ST 12345 Phone: (123) 456-7890 Email: [email protected]

Summary: John Smith is an experienced research scientist with over 10 years of experience in a laboratory setting. His expertise lies in using a wide range of techniques, including spectroscopy, chromatography, and microscopy, to identify and study the physical and chemical properties of different substances. He is a results-oriented individual, able to work collaboratively with other scientists, as well as independently.

Work Experience:

• Research Scientist, Anytown University, Anytown, ST (2016-Present)
• Develop and maintain research methods for studying the physical and chemical properties of various substances.
• Conduct experiments with a variety of techniques, such as spectroscopy, chromatography, and microscopy.
• Analyze and interpret data, and present results to faculty and other scientists.
• Collaborate with other scientists on research projects.
• Research Associate, Anytown University, Anytown, ST (2011-2016)
• Conducted experiments and analyzed data using a variety of techniques.
• Presented results to faculty and other scientists.
• Collaborated with other scientists on research projects.
• Ph.D. in Chemistry, Anytown University, Anytown, ST (2008)
• B.S. in Chemistry, Anytown University, Anytown, ST (2005)

Skills: Spectroscopy, Chromatography, Microscopy, Data Analysis, Presentation, Collaboration

Certifications: Hazardous Materials Certification (2018)

Languages: English (Fluent), Spanish (Basic)

CV tips for Research Scientist

Crafting an impeccable CV that kickstarts your career is a challenging endeavor. While adhering to fundamental writing principles is beneficial, seeking guidance customized for your unique job pursuit is equally prudent. As a newcomer to the professional realm, you require Research Scientist CV pointers. We've curated top-notch advice from experienced Research Scientist individuals. Explore their insights to streamline your writing journey and enhance the likelihood of fashioning a CV that captivates potential employers' attention.

• Highlight your most relevant research accomplishments in the summary section.
• Include a list of your publications, presentations, and other research activities.
• List your academic degrees and other credentials.
• Include details about your research methodology and techniques.
• Include details about your research achievements, awards, and grants.

Research Scientist CV Summary Examples

A Research Scientist CV Summary or CV Objective provides employers with a concise overview of your qualifications and accomplishments as a research scientist. It enables employers to quickly assess your skills and experience as a research scientist, and decide whether you would be a suitable candidate for the position. By highlighting your key research skills and experience, a well-crafted summary or objective can help you stand out from the competition and increase your chances of getting an interview. For Example:

• Highly motivated Research Scientist with 5+ years experience in laboratory and clinical research.
• Experienced in designing and conducting experiments, analyzing data, and collaborating with other scientists.
• Passionate about developing new techniques and technologies to improve laboratory processes and products.
• Innovative problem solver with expertise in data analysis, statistical modeling, and scientific writing.
• Excellent communication and leadership skills, proven ability to manage complex projects and drive results.

Build a Strong Experience Section for Your Research Scientist CV

Building a strong experience section for a research scientist CV is important for several reasons. First, it allows potential employers to get a sense of the research skills and knowledge that the candidate has acquired over the course of their career. Second, it gives employers a better understanding of the candidate’s research methods and approaches. Finally, it allows employers to see how the candidate has progressed in their research career and how their skills have grown over time. By including a strong experience section, a research scientist CV can provide employers with the necessary information to make an informed decision about whether or not to hire the candidate. For Example:

• Conducted research and development of new and existing technologies to improve project deliverables.
• Developed and tested new methods for the analysis and synthesis of data.
• Collaborated with multidisciplinary teams of engineers and scientists to develop and execute innovative research plans.
• Designed and implemented experiments to investigate scientific questions and hypotheses.
• Performed data analysis and interpretation to draw valid conclusions and ensure accuracy of results.
• Published research papers in peer-reviewed journals and presented findings at conferences.
• Maintained detailed records of laboratory experiments, data analysis, and results.
• Developed and maintained relationships with external vendors and collaborators.
• Provided mentorship to junior researchers and laboratory technicians.
• Conducted literature reviews to stay informed of industry trends and advancements.

Research Scientist CV education example

A Research Scientist typically requires a minimum of a Master's degree in a relevant scientific field, such as biology, chemistry, physics, or engineering. A Ph.D. may be preferred, depending on the field of research. Additionally, research scientists should have strong critical thinking skills, problem-solving skills, and the ability to apply the scientific method. They should also be comfortable working independently, as well as working collaboratively with other scientists and professionals. Here is an example of an experience listing suitable for a Research Scientist CV:

• Ph.D., Applied Sciences, University of California, San Francisco, CA, USA, 2017
• M.Sc., Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA, 2014
• B.Sc., Computer Science, Stanford University, Stanford, CA, USA, 2011

Research Scientist Skills for a CV

It is important to add skills for a Research Scientist CV because it showcases the individual's qualifications and expertise. Skills can include areas such as data analysis, programming, laboratory techniques, scientific writing, and project management. They demonstrate the applicant's ability to perform successfully in the role. Including specific examples of each skill can also add depth and clarity to the CV. Soft Skills:

• Critical Thinking
• Data Analysis
• Problem Solving
• Communication
• Project Management
• Creative Thinking
• Organizational
• Time Management
• Statistical Modeling
• Research Design
• Data Collection
• Programming
• Laboratory Techniques
• Data Interpretation
• Technical Writing
• Quantitative Analysis

Common Mistakes to Avoid When Writing a Research Scientist CV

In today's competitive job market, an average of 180 applications floods employers' inboxes for each vacant position. To streamline this influx of CVs, companies frequently employ automated applicant tracking systems that weed out less qualified candidates. If your CV manages to surpass these digital gatekeepers, it must still captivate the attention of the recruiter or hiring manager. Given the sheer volume of applications, a mere 5 seconds is typically allocated to each CV before a decision is reached. With this in mind, it's crucial to eliminate any extraneous information that might relegate your application to the discard pile. To ensure your CV shines, consult the list below for elements to avoid including in your job application.

• Skipping the cover letter: A well-crafted cover letter is an opportunity to showcase your suitability for the role and express your enthusiasm for it.
• Excessive jargon: CVs laden with technical terms can alienate hiring managers who lack specialized knowledge.
• Neglecting vital details: Incorporate your contact information, education, work history, and pertinent skills and experiences.
• Relying on generic templates: Tailoring your CV to the specific job exhibits your commitment to the position and company.
• Errors in spelling and grammar: Proofreading is essential to eliminate typos, spelling errors, and grammatical blunders.
• Overemphasizing duties: Highlight accomplishments to underline your candidacy's value.
• Sharing personal information: Steer clear of revealing personal details like age, marital status, or religious affiliations.

Key takeaways for a Research Scientist CV

• Highlight your research experience, including relevant grants, papers, and publications.
• Include a summary of your research interests and areas of expertise.
• Emphasize your academic background, such as degrees, honors, and awards.
• Detail your teaching experience, such as courses taught, lectures, seminars, or tutorials.
• Include relevant technical skills, such as laboratory techniques, data analysis tools, software, and programming languages.
• Describe any relevant professional memberships or certifications.
• List any honors or awards that you have received.
• Demonstrate your ability to work collaboratively with other researchers and teams.

Research Scientist CV example

Do you need a research scientist CV that helps you to build chemistry with recruiters?

Then we have a solution!

We can help you to create an application worthy of your white coat. Make the most of our top tips and research scientist CV example below to get you started.

CV templates 

Research Scientist CV example

Before you start writing your CV, take a look at the example Research Scientist CV above to give yourself a good idea of the style and format that recruiters and hiring managers prefer to see.

Also, take note of the type of content that is included to impress recruiters, and how the most relevant information is made prominent, to ensure it gets noticed.

Build your CV now 

Research Scientist CV layout and format

Your CV is the first impression you’ll make on anybody who reads it.

A disorganised, cluttered and barely-readable CV could seriously decrease your chances of landing interviews, so it’s essential to make sure yours is slick, professional and easy to navigate.

You can do this by using a clear structure and formatting your content with some savvy formatting techniques – check them out below:

CV formatting tips

• Length: Think that submitting a five page CV will impress recruiters? You’re wrong! Even if you’ve got tons of experience to brag about, recruiters don’t have time to read through overly detailed CVs. Keep it short, concise and relevant – a CV length of 2 sides of A4 pages or less is perfect.
• Readability : By clearly formatting your section headings (bold, or a different colour font, do the trick) and breaking up big chunks of text into snappy bullet points, time-strapped recruiters will be able to skim through your CV with ease.
• Design: Don’t waste time adding fancy designs to your CV. It generally adds no value to your application and may even end up distracting recruiters away from the important written content.
• Avoid photos: Don’t add photos, images or profile photos to your CV. Not only do they take up much-needed CV space, but they’re actually completely unnecessary and won’t boost your CV at all.

Quick tip: Formatting your CV to look professional can be difficult and time-consuming when using Microsoft Word or Google Docs. If you want to create an attractive CV quickly, try our quick-and-easy CV Builder and use one of their eye-catching professional CV templates.

CV structure

For easy reading, write your CV to the following CV structure:

• Contact details – Make it easy for recruiters to get in touch with you by listing your contact details at the top of your CV.
• Profile – A short and snappy summary of your experience and skills, showcasing what makes you a good fit for the position.
• Work experience / career history – Note down all your work history, with your current position first, then working backwards.
• Education – A short list of your academic background and professional/vocational qualifications.
• Interest and hobbies – This is an optional section, which you can use to highlight any relevant hobbies or interests.

Now I’ll tell you exactly what you should include in each CV section.

CV Contact Details

Tuck your contact details into the corner of your CV, so that they don’t take up too much space. Stick to the basic details, such as:

• Mobile number
• Email address – It should sound professional, such as your full name.
• Location -Just write your rough location, rather than your full address.
• LinkedIn profile or portfolio URL – If you include these, ensure they’re sleek, professional and up-to-date.

Research Scientist CV Profile

Recruiters and hiring managers are busy, so it’s essential to catch their attention from the get-go.

A strong introductory profile (or personal statement , for junior candidates) at the top of the CV is the first thing they’ll read, so it’s a great chance to make an impression.

It should be a short but punchy summary of your key skills, relevant experience and accomplishments.

Ultimately, it should explain why you’re a great fit for the role you’re applying for and inspire recruiters to read the rest of your CV.

Tips for creating an strong CV profile:

• Keep it concise: Aim for a short, snappy paragraph of 3-5 lines. This is just enough room to showcase why you’d make the perfect hire, without going into excessive detail and overwhelming busy recruiters.
• Tailor it: Recruiters can spot a generic, mass-produced CV at a glance – and they certainly won’t be impressed! Before you write your profile (and CV as a whole), read through the job advert and make a list of any skills, knowledge and experience required. You should then incorporate your findings throughout your profile and the rest of your CV.
• Don’t add an objective: Avoid discussing your career goals in your CV profile – if you think they’re necessary, briefly mention them in your cover letter instead.
• Avoid cliches: If there’s one thing that’ll annoy a recruiter, it’s a clichè-packed CV. Focus on showcasing your hard skills, experience and the results you’ve gained in previous roles, which will impress recruiters far more.

Example CV profile for Research Scientist

What to include in your research scientist cv profile.

• Summary of experience: Demonstrate your suitability for your target jobs by giving a high level summary of your previous work work experience , including the industries you have worked in, types of employer, and the type of roles you have previous experience of.
• Relevant skills: Make your most relevant Research Scientist key skills clear in your profile. These should be tailored to the specific role you’re applying for – so make sure to check the job description first, and aim to match their requirements as closely as you can.
• Essential qualifications: Be sure to outline your relevant Research Scientist qualifications, so that anyone reading the CV can instantly see you are qualified for the jobs you are applying to.

Quick tip: Struggling to write a powerful profile? Choose from hundreds of pre-written profiles across all industries, and add one to your CV with one click in our quick-and-easy CV Builder . All written by recruitment experts and easily tailored to suit your unique skillset.

Core skills section

Underneath your profile, write a core skills section to make your most relevant skills jump off the page at readers.

It should be made up of 2-3 columns of bullet points of your relevant skills.

Before you do this, look over the job description and make a list of any specific skills, specialisms or knowledge required.

Then, make sure to use your findings in your list. This will paint you as the perfect match for the role.

Top skills for your Research Scientist CV

Specimen collection – collecting samples safely and storing them appropriately ready for use in research.

ELISA assays – utilising immunological assays to measure antibodies, antigens, proteins and glycoproteins in biological samples.

DNA/RNA sequencing – running complex sequencing to understand the basic building blocks within samples.

Research grants – applying for and obtaining research grants to conduct scientific research.

Machine learning/AI – utilising machine learning and artificial intelligence systems to help solve research problems and answer complex questions.

Quick tip: Our quick-and-easy CV Builder contains thousands of in-demand skills for every profession that can be added to your CV in seconds – saving you time and greatly improving your chances of landing job interviews.

Work experience/Career history

By this point, employers will be keen to know more detail about you career history.

Starting with your most recent role and working backwards, create a snappy list of any relevant roles you’ve held.

This could be freelance, voluntary, part-time or temporary jobs too. Anything that’s relevant to your target role is well-worth listing!

Structuring your roles

If you don’t pay attention to the structure of your career history section, it could quickly become bulky and overwhelming.

Get in recruiters’ good books by creating a pleasant reading experience, using the 3-step structure below:

Begin with a summary of your role, detailing what the purpose of your job was, who you reported to and what size of team you were part of (or led).

Key responsibilities

Next up, you should write a short list of your day-to-day duties within the job.

Recruiters are most interested in your sector-specific skills and knowledge, so highlight these wherever possible.

Key achievements

Lastly, add impact by highlight 1-3 key achievements  that you made within the role.

Struggling to think of an achievement? If it had a positive impact on your company, it counts.

For example, you might increased company profits, improved processes, or something simpler, such as going above and beyond to solve a customer’s problem.

Example job for Research Scientist CV

Responsible for designing, interpreting, and conducting cancer research laboratory studies for an institution that has broken new ground to positively impact people’s lives around the world.

Key Responsibilities

• Develop new methods of diagnosing and treating cancer by conducting experiments to improve human life.
• Research the effects of that several drugs, hormones, and other substances have on cancerous cells.
• Study disease prediction and methodology of data processing using best analytics practices and human-centred design and systems.
• Use appropriate scientific methods to define and address tractable research questions or real-world problems in medicine and health.

Quick tip: Create impressive job descriptions easily in our quick-and-easy CV Builder by adding pre-written job phrases for every industry and career stage.

Education section

At the bottom of your CV is your full education section. You can list your formal academic qualifications, such as:

• GCSE’s

As well as any specific Research Scientist qualifications that are essential to the jobs you are applying for. Note down the name of the qualification, the organisation at which you studied, and the date of completion.

Interests and hobbies

This section is entirely optional, so you’ll have to use your own judgement to figure out if it’s worth including.

If your hobbies and interests could make you appear more suitable for your dream job, then they are definitely worth adding.

Interests which are related to the industry, or hobbies like sports teams or volunteering, which display valuable transferable skills might be worth including.

Writing your Research Scientist CV

A strong, compelling CV is essential to get noticed and land interviews with the best employers.

To ensure your CV stands out from the competition, make sure to tailor it to your target role and pack it with sector-specific skills and results.

Remember to triple-check for spelling and grammar errors before hitting send.

Good luck with the job search!

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