Resume

Research Scientist Resume Example & Writing Guide

Use this Research Scientist resume example and guide to improve your career and write a powerful resume that will separate you from the competition.

Research scientists are the driving force behind some of the most important discoveries in the world. They use their knowledge of scientific methods and techniques to research a wide range of topics—from space exploration to medicine to renewable energy—and publish their findings in peer-reviewed journals.

Research scientists might work in academia or in industry. Academia is great for those who love teaching and sharing their knowledge with the world. Industry is great for those who love solving problems and working with their hands. Research scientists tend to be highly analytical thinkers who enjoy working independently but also need to collaborate with other experts.

Before you can begin collaborating with others, however, you need to write a research scientist resume that will help you land an interview. Here are some tips and an example to help you do just that.

David Moore
New York City, NY | (123) 456-7891 | [email protected]
Summary

Driven research scientist with a passion for developing innovative solutions to complex problems. With over eight years of experience in the field, possesses a deep understanding of state-of-the-art research techniques and a dedication to advancing knowledge. Seeking an opportunity to make a meaningful impact on the world through scientific discovery.

Education
Columbia University Jun '10
Ph.D. in Neuroscience
Columbia University Jun '06
B.A. in Psychology
Experience
Company A, Research Scientist Jan '17 – Current
  • Developed and implemented a new method for measuring the mechanical properties of single cells using atomic force microscopy (AFM).
  • Designed, built, and tested an AFM capable of measuring cell mechanics at high resolution in air with minimal sample preparation.
  • Used this system to measure the elastic modulus of human mesenchymal stem cells under various conditions including static loading, cyclic loading, and dynamic loading.
  • Determined that MSCs exhibit increased stiffness when exposed to hypoxic conditions which may contribute to their poor engraftment following transplantation into ischemic tissues such as heart or limb muscle.
  • Presented findings at national conferences including ASME Bioengineering Conference & Biomechanics Symposium and Society for Experimental Mechanics Annual Meeting where they were well received by peers and industry representatives alike resulting in multiple follow-up meetings regarding commercialization opportunities.
Company B, Research Scientist Jan '12 – Dec '16
  • Developed new method of analyzing data that reduced research time by 50% and improved accuracy by 10%
  • Conducted experiments on the effects of radiation on DNA, RNA, proteins and lipids
  • Analyzed results from laboratory experiments to determine how they related to cancer development
  • Collaborated with other scientists in different fields to develop a more comprehensive understanding of cancer mechanisms
  • Supervised undergraduate students working on independent research projects (internships) for credit towards their degrees
Company C, Research Assistant Jan '09 – Dec '11
  • Conducted research on assigned topics and compiled data into reports.
  • Presented findings to senior staff and made recommendations for further research.
  • Wrote and edited research papers for publication.
Certifications
  • Master of Science in Biomedical Sciences
  • Doctor of Veterinary Medicine
  • Certified Veterinary Technician
Skills

Industry Knowledge: Research, Chemical Engineering, Materials Science, Polymer Science, Materials Chemistry, Polymer Chemistry, Heat Transfer, Structural Analysis, Fluid Dynamics, Finite Element Analysis, Computational Physics
Technical Skills: MATLAB, Microsoft Office Suite, SolidWorks, ANSYS, ANSYS Fluent, ANSYS Mechanical APDL, ANSYS CFX, ANSYS Workbench, Microsoft Visual Studio, ANSYS Mechanical APDL, ANSYS CFX, ANSYS Workbench, Microsoft Visual Studio
Soft Skills: Communication, Teamwork, Leadership, Time Management, Problem Solving, Critical Thinking, Creativity

How to Write a Research Scientist Resume

Here’s how to write a research scientist resume of your own.

Write Compelling Bullet Points

Bullet points are the most important part of your resume because they’re the first thing recruiters will see. And they’re the best way to showcase your experience and qualifications.

So it’s crucial that you use them to their full potential. And that means using them to describe your accomplishments and the results of your work.

For example, rather than saying you “conducted research,” you could say you “conducted research on new drug therapies for Alzheimer’s disease, resulting in three patents and a peer-reviewed paper published in Nature magazine.”

The second bullet point is much more specific and provides more detail about what exactly you did and the results of your work.

Identify and Include Relevant Keywords

When you submit your resume online, it’s likely that it will be scanned by an applicant tracking system (ATS) for certain keywords. These programs look for certain terms related to the job opening in order to determine whether your skills and experience are a match. If your resume doesn’t have enough of the right keywords, the ATS might not forward it to a recruiter.

The best way to make sure your resume includes the right keywords is to read through job postings and take note of the terms that are used most frequently. Then, include those words throughout your resume in relevant places like the work experience, skills, summary, and education.

Here are some of the most commonly used keywords for research scientist roles:

  • Research and Development (R&D)
  • Machine Learning
  • Python (Programming Language)
  • Machine Learning Algorithms
  • Deep Learning
  • Artificial Intelligence (AI)
  • Statistics
  • Linux
  • Data Science
  • MATLAB
  • Databases
  • Python for Data Analysis (pandas)
  • Data Analytics
  • Predictive Analytics
  • Natural Language Processing (NLP)
  • Java
  • Computer Vision
  • Scientific Research
  • Java Programming Language
  • Algorithms
  • Microsoft SQL Server
  • Elasticsearch
  • R (Programming Language)
  • Scrum
  • Microservices
  • Software Development
  • Machine Learning Framework: TensorFlow
  • Natural Language Processing (NLP) Toolkit
  • Big Data
  • Software Development Life Cycle (SDLC)

Showcase Your Technical Skills

As a research scientist, you need to be proficient in a variety of software programs in order to effectively do your job. This might include statistical analysis software, like SAS or SPSS, or programming languages, like R or Python. Additionally, research scientists need to be able to use databases, like PubMed or Web of Science, to find relevant scientific papers.

If you have experience with any of these programs or systems, be sure to list them on your resume. Additionally, you should indicate your level of expertise for each one. For example, if you are a proficient R user, you might list “R (proficient)” on your resume.

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