Research Assistant

Research Assistant Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Research Assistant job postings. In other words, these are the most sought after skills by recruiters and hiring managers. Go to Sample Templates ↓ below to see how to include them on your resume.

Remember that every job is different. Instead of including all keywords on your resume, identify those that are most relevant to the job you're applying to. Use the free Targeted Resume tool to help with this.

Choose a category
  • Python (Programming Language)
  • C++
  • LaTeX
  • R (Programming Language)
  • Research
  • Machine Learning
  • C (Programming Language)
  • Stata
  • Data Analysis
  • Java
  • Microsoft Access
  • Deep Learning
  • Statistics
  • Algorithms
  • Linux
  • Computer Vision
  • Programming
  • Science
  • Molecular Biology
  • Biochemistry
  • Cell Biology
  • Cell Culture
  • Econometrics
  • Microbiology
  •   Show full list

Resume Skills: Laboratory

  • PCR
  • Gel Electrophoresis
  • Sterile Technique
  • Cell Culture Proposal Writing
  • Cell Culture
  • Enzyme Assays
  • Spectrophotometry
  • Chromatography

Resume Skills: Programming

  • Python (Pandas, Numpy, Scikit-learn)
  • R
  • SQL
  • Java
  • Python
  • C++

Resume Skills: Analytical

  • Data Analysis
  • Statistical Analysis (SPSS, SAS, R)
  • Experimental Design

Resume Skills: Instrumentation

  • Microscopy
  • Spectrophotometry
  • Centrifugation
  • Mass Spectrometry

Resume Skills: Research Technologies

  • Prism GraphPad
  • SeqMan Pro
  • EndNote
  • Minitab
  • Microsoft Office Suite

Resume Skills: Machine Learning

  • Natural Language Processing (NLP)
  • Linear & Logistic Regression
  • Support Vector Machines
  • Random Forest
  • Neural Networks

Resume Skills: Data Visualization Tools

  • Tableau
  • PowerBI
  • ggplot2

Resume Skills: Big Data Tools

  • Hadoop
  • Spark
  • Hive
  • Pig
  • AWS S3
  • Apache Hadoop
  • Apache Spark
  • Pandas
  • NumPy
  • SciPy

Resume Skills: Machine Learning Frameworks

  • TensorFlow
  • PyTorch
  • Keras
  • Scikit-Learn

Resume Skills: Databases

  • MySQL
  • SQL Server
  • MongoDB

Resume Skills: Research Tools

  • SPSS
  • R
  • LabVIEW
  • Python

Resume Skills: Data Analysis

  • Quantitative & Qualitative Research
  • Data Interpretation
  • Statistical Analysis

Resume Skills: Documentation & Compliance

  • GCP
  • GMP
  • GLP
  • ICH Guidelines
  • IQ/OQ/PQ Verification
  Does your resume contain all the right skills? Paste in your resume in the AI Resume Scan ↓ section below and get an instant score.

Sample Research Assistant Resume: How To Include These Skills

Add keywords directly into your resume's work experiences, education or Skills section, like we've shown in the examples below. Use the examples below as inspiration.

Choose a template
Your Name
Research Assistant
City, Country  •  (123) 456-789  •  [email protected]  •
Stanford University January 2018 - Present
Senior Research Assistant
Directed a team of four junior research assistants to support a project investigating the application of machine learning in molecular biology, leading to a 35% efficiency increase in data processing
Streamlined data analysis processes using Stata and Python, resulting in a 20% reduction in time taken for data interpretation
Applied advanced statistical methods to validate research findings, enhancing result credibility by 25%
Devised and implemented robust research methodologies, which contributed to a 30% increase in project success rate
Utilized deep learning algorithms to improve predictive modeling accuracy by 40%, enhancing the quality and relevancy of research outputs
Harvard University May 2015 - December 2017
Research Assistant
Conducted comprehensive data analysis using Java and R programming languages, increasing research data utility by 15%
Managed a database of over 10,000 primary research documents using MS Access, enhancing data retrieval efficiency by 30%
Produced five precisely detailed research reports annually, communicating complex scientific results effectively to non-scientific audience
Employed MATLAB to model complex research scenarios, aiding in more accurate experimental setup
Resume Worded January 2013 - April 2015
Junior Research Assistant
Assisted in the development of a computer vision algorithm using C++, leading to a 20% improvement in image recognition accuracy
Participated in a scientific experiment that employed intricate statistical models, enhancing my data interpretation skills
Resume Worded University August 2012
Doctor of Philosophy - Biomedical Science
Thesis on Innovative Gene Editing Techniques
Resume Worded Institute June 2010
Master's degree - Biological Science
Specialized in Molecular Biology
Part-time while working as Junior Research Assistant
Laboratory Skills: PCR, Gel Electrophoresis, Sterile Technique, Cell Culture Proposal Writing
Analytical Skills: Data Analysis, Statistical Analysis (SPSS, SAS, R), Experimental Design
Instrumentation: Microscopy, Spectrophotometry, Centrifugation, Mass Spectrometry
Research Technologies: Prism GraphPad, SeqMan Pro, EndNote, Minitab, Microsoft Office Suite
Certifications: Certified Professional in Biotechnology (2020), Advanced Research Certification (2015)
Publications: Contributed to 10+ scientific articles in prestigious peer-reviewed journals
Presentations: Presented research findings at 5 international science conferences
Professional Affiliations: Active member of the American Society for Microbiology and the Federation of American Societies for Experimental Biology
Your Name
Data Scientist
City, Country  •  (123) 456-789  •  [email protected]  •
EXPERIENCE March 2019 - Present
Senior Data Scientist
Leveraged machine learning techniques to analyze large datasets, increasing market prediction accuracy by 50%
Commanded a team of 3 data analysts to design and implement complex algorithms using Python, resulting in an efficiency increase of 25%
Formulated a predictive model using deep learning that improved sales forecast accuracy by 35%
Performed data cleaning using R, improving the quality of input data and ensuring reliable results
Published four research papers annually, which made significant contributions to the body of knowledge in data science
Google January 2016 - February 2019
Data Analyst
Developed predictive models using C programming language, leading to a 10% increase in marketing campaign effectiveness
Utilized MATLAB to conduct complex data analyses, improving understanding of market dynamics and customer behavior
Managed a large relational database via Microsoft Access, optimizing data storage and retrieval processes
Resume Worded January 2013 - December 2015
Research Assistant
Compiled and organized data for multiple research projects, resulting in a 30% reduction in retrieval time
Applied basic statistical methods to analyze research data, enhancing my understanding of statistical tools
Resume Worded University December 2015
Ph.D. in Data Science and Machine Learning
Specialized in Predictive Analysis and Algorithm Development
Resume Worded Institute May 2013
Master of Science in Computer Science
Focus on Data Structure and Machine Learning
Graduated Magna Cum Laude
Programming: Python (Pandas, Numpy, Scikit-learn), R, SQL, Java, MATLAB
Machine Learning: Natural Language Processing (NLP), Linear & Logistic Regression, Support Vector Machines, Random Forest, Neural Networks
Data Visualization Tools: Tableau, PowerBI, ggplot2
Big Data Tools: Hadoop, Spark, Hive, Pig, AWS S3
Certifications: Certified Data Science Professional (CDSP), IBM Data Science Professional Certification
Professional Associations: Member, Association of Data Scientists, Member, Machine Learning Society
Publications: Co-authored 'Innovations in Machine Learning: An Industry Perspective'
Your Name
Machine Learning Engineer
City, Country  •  (123) 456-789  •  [email protected]  •
Tesla Inc. June 2019 - Present
Senior Machine Learning Engineer
Led a team of 3 engineers to design and implement machine learning algorithms using Python, improving process efficiency by 40%
Utilized deep learning techniques to improve the accuracy of autonomous driving systems by 30%
Developed a facial recognition algorithm using computer vision techniques and C++, contributing to heightened vehicle security
Managed extensive databases using SQL, ensuring timely and efficient data retrieval
Published two research papers annually, contributing to the body of knowledge in machine learning and artificial intelligence
Facebook January 2016 - May 2019
Machine Learning Engineer
Implemented innovative machine learning models using Java, increasing the accuracy of ad targeting by 20%
Utilized advanced statistical methods to validate model outputs, enhancing result credibility
Developed and managed a high-performance database using Linux
Resume Worded January 2012 - December 2015
Research Assistant
Contributed to an ML project, improving my understanding of machine learning algorithms and techniques
Assisted in managing a large database of research documents, enhancing my database management skills
Resume Worded Academic Center December 2015
Master of Science - Machine Learning
Focused in Deep Learning Algorithms
Resume Worded University June 2011
Bachelor of Science - Computer Science
Minor in Statistics
Awards: Graduated Magna cum Laude
Programming Languages: Python, C++, Java, R
Machine Learning Frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn
Big Data Tools: Apache Hadoop, Apache Spark, Pandas, NumPy, SciPy
Databases: MySQL, SQL Server, MongoDB
Certifications: Certified Data Scientist - IBM(2020), ExpertAI Certification – NVIDIA(2019)
Leadership & Volunteering: Tech Events Organizer – Resume Worded Community (2012-Present)
Projects: Automated Vehicle Detection Project – Improved Tesla’s autopilot accuracy by 25% (2020)
Publications: ‘Advancements in Deep Learning Algorithms’ – IEEE Transactions (2017)

Compare Your Resume To These Research Assistant Skills (ATS Scan)

Paste your resume below and our AI will identify which keywords are missing from your resume from the list above (and what you need to include). Including the right keywords will help you get past Applicant Tracking Systems (i.e. resume screeners) which may scan your resume for keywords to see if you're a match for the job.

How do I add skills to a Research Assistant resume?

Review the job posting closely.

Go through the Research Assistant posting you're applying to, and identify hard skills the company is looking for. For example, skills like C++, MATLAB and Machine Learning are possible skills. These are skills you should try to include on your resume.

Add industry skills like R (Programming Language) and Python (Programming Language).

Add other common skills from your industry - such as C (Programming Language), LaTeX and Research - into your resume if they're relevant.

Add skills into your work experience.

Incorporate skills - like Programming, Science and Deep Learning - into your work experience too. This shows hiring managers that you have practical experience with these tools, techniques and skills.

Emphasize accomplishments that involved a team.

Teamwork is a common competency hiring managers look for, particularly for Research Assistant roles, so include at least 1-2 examples of accomplishments that involved leading a team, or collaborating with others to complete a project.

Include examples of your research experience.

Consider including a section in your resume dedicated to your research experience. On Research Assistant resumes, hiring managers want to see research projects which you led or where involved with, and their outcomes.

Use the exact job title.

Try to add the exact job title, Research Assistant, somewhere into your resume to get past resume screeners. See the infographic for how to do this.

Word Cloud for Research Assistant Skills & Keywords

The following word cloud highlights the most popular keywords that appear on Research Assistant job descriptions. The bigger the word, the more frequently it shows up on employer's job postings. If you have experience with these keywords, include them on your resume.

Top Research Assistant Skills and Keywords to Include On Your Resume

Research Assistant Soft Skills

Here are common soft skills that appear on Research Assistant job postings. Unlike hard skills, which refer to tools, software or techniques, soft skills focus on character traits and interpersonal skills. Instead of listing these phrases on your resume, try to show them through your bullet points like in the examples below.

  • Laboratory Skills

Tip: Do not list these words or phrases on your resume, and instead focus on the hard skills we described above.

Resume Skills and Keywords from Related Jobs

We also found variations and further specializations to your job title. Browse through the related job titles to find additional keywords that you can include into your resume.

Get your Resume Instantly Checked, For Free

Upload your resume and we'll spot the issues in it before an actual Research Assistant recruiter sees it. For free.

Research Assistant Resume Templates

Here are examples of proven resumes in related jobs and industries, approved by experienced hiring managers. Use them as inspiration when you're writing your own resume. You can even download and edit the resume template in Google Docs.

Resume Example
Executive Assistant to CEO

Resume Example
Clinical Research Assistant

Resume Example
Laboratory Research Assistant

Resume Example
Graduate Research Assistant

Resume Example
Chemistry Research Student

Resume Example
Policy and Research Policy Analyst

Browse Skills from Similar Jobs

Frequently Asked Questions

What skills should you put on a Research Assistant resume?

Some popular Research Assistant hard skills are MATLAB, Python (Programming Language), C++, LaTeX, R (Programming Language), Research, Machine Learning and C (Programming Language).

Depending on the job you apply to, skills like Cell Biology, Statistics, Science, Deep Learning and Programming can also be good to include on your resume.

How do resume skills compare between a Clinical Research Assistant and a Laboratory Research Assistant?

Popular skills we often see on resumes for Clinical Research Assistant positions include:

  • Clinical Research
  • REDCap
  • Good Clinical Practice (GCP)
  • Clinical Trials
  • Research
  • Institutional Review Board (IRB)
  • Data Analysis

In comparison, skills we see on Laboratory Research Assistant resumes include:

  • Polymerase Chain Reaction (PCR)
  • Cell Culture
  • Gel Electrophoresis
  • Python (Programming Language)
  • DNA Extraction
  • Western Blotting

Target your Resume to a Job Description

While the keywords above are a good indication of what skills you need on your resume, you should try to find additional keywords that are specific to the job. To do this, use the free Targeted Resume tool. It analyzes the job you are applying to and finds the most important keywords you need on your resume.

It is personalized to your resume, and is the best way to ensure your resume will pass the automated resume filters.

Start targeting your resume

© 2023 Resume Worded. All rights reserved.