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Nih Bioinformatics Jobs in Virginia (NOW HIRING)

Scientific Data Analyst

Arlington, VA ยท On-site

$110K - $115K/yr

  • Medical

  • Retirement

  • PTO

Apply computational and bioinformatics methods in support of New Approach Methodologies (NAMs) related research objectives * Maintain and enhance NIH databases and tools through data curation ...

Scientific Data Analyst

Arlington, VA ยท On-site

$110K - $115K/yr

  • Medical

  • Retirement

  • PTO

Apply computational and bioinformatics methods in support of New Approach Methodologies (NAMs) related research objectives * Maintain and enhance NIH databases and tools through data curation ...

... for NIH NIAID Enabling and Advancing Technologies (NEAT) . All other tasks are intended to ... bioinformatics support, and professional development. Please Note: This position is contingent upon ...

... for NIH NIAID Enabling and Advancing Technologies (NEAT) . All other tasks are intended to ... bioinformatics support, and professional development. The Project Manager will provide professional ...

... for NIH NIAID Enabling and Advancing Technologies (NEAT) . All other tasks are intended to ... bioinformatics support, and professional development. Please Note: This position is contingent upon ...

ECS is seeking an experienced NIH NIAID Enabling and Advancing Technologies (NEAT) Program Manager ... bioinformatics support, and professional development. The Program Manager will provide professional ...

Nih Bioinformatics information

See Virginia salary details

$59K

$93.7K

$148.2K

How much do nih bioinformatics jobs pay per year?

As of Aug 15, 2026, the average yearly pay for nih bioinformatics in Virginia is $93,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,900.00 and $128,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the NIH Bioinformatics position, and why are they important?

To thrive as an NIH Bioinformatics professional, you need a strong background in biology, genomics, and computational science, typically supported by a relevant advanced degree. Familiarity with bioinformatics software (such as BLAST, GATK, or R/Bioconductor), programming languages like Python or Perl, and experience with large data sets are crucial. Excellent problem-solving, collaboration, and communication skills set candidates apart in multidisciplinary research environments. These abilities are essential for analyzing complex biological data, contributing to impactful scientific discoveries, and working effectively with cross-functional teams.

What is an NIH Bioinformatics?

An NIH Bioinformatics job involves using computational tools and techniques to analyze biological data, often in fields like genomics, proteomics, and biomedical research. Professionals in this role work with large datasets to support medical and scientific discoveries, aiding in public health and personalized medicine. These jobs can be research-focused, involving algorithm development, data visualization, and statistical modeling. They are typically found at the National Institutes of Health (NIH) or NIH-funded organizations, supporting projects that advance medical knowledge. Strong programming skills, biological expertise, and experience with bioinformatics tools are often required.

What are the typical daily responsibilities of an NIH Bioinformatics professional?

As an NIH Bioinformatics professional, your daily tasks often include analyzing large-scale genomic or proteomic data, developing and maintaining computational pipelines, and collaborating with biologists and clinicians to interpret research findings. You may regularly write scripts to optimize data processing, curate databases, and generate visualizations or reports for ongoing projects. Close collaboration with diverse research teams is common, requiring adaptability and clear communication. These responsibilities support the NIH's mission to advance biomedical research and drive meaningful, data-driven scientific insights.

What are the most commonly searched types of Nih Bioinformatics jobs in Virginia?

The most popular types of Nih Bioinformatics jobs in Virginia are:

Infographic showing various Nih Bioinformatics job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 8% Part Time, 1% Temporary, 19% Contract, and 1% Nights. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $93,664 per year, or $45 per hour.

Scientific Data Analyst

IMAGINEEER LLC

Arlington, VA โ€ข On-site

$110K - $115K/yr

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago


Job description

Benefits:
  • 401(k) matching
  • Competitive salary
  • Health insurance
  • Paid time off

About this Role: 
In this role, you will provide computational, data science, and bioinformatics support for Office of Research Innovation, Validation, and Application’s (ORIVA) research validation and application programs across D-NICEATM and DAIBR. 
You will develop and maintain NIH databases, build analytical tools, support computational modeling, and deliver data-driven insights to a multidisciplinary team advancing human-centered biomedical research. This role sits at the intersection of data science, regulatory science, and biomedical research. 
 
Key Responsibilities: 
  1. Develop and execute analytical workflows to process, analyze, and interpret large-scale biomedical datasets  
  2. Apply computational and bioinformatics methods in support of New Approach Methodologies (NAMs) related research objectives  
  3. Maintain and enhance NIH databases and tools through data curation, integration, and interoperability support  
  4. Build and maintain data pipelines and analytical tools using Python, R, or equivalent languages  
  5. Develop and update user support materials, websites, and training resources  
  6. Ensure all published materials meet 508-compliance standards  
  7. Present complex analytical results clearly to scientific and non-technical audiences  
  8. Support data validation, cleansing, and governance per NIH data quality standards 
 
Qualifications and Skills: 
  1. PhD in bioinformatics, mathematics, statistics, computer science, data science, or related field with 4+ years of relevant experience OR Master's degree in an equivalent field with 4 years of additional experience  
  2. Proficiency in at least two programming languages: Python, R, Perl, or equivalent  
  3. Experience with bioinformatics tools, databases, and high-throughput data analysis  
  4. Experience managing and integrating large biomedical or genomic datasets  
  5. Strong background in statistical analysis, data modeling, and computational methods  
  6. U.S. citizenship required; ability to obtain Public Trust clearance 
 
Desired Skills and Competencies: 
  1. Expertise in NAMs or computational toxicology  
  2. Experience with NIH scientific databases and platforms  
  3. Familiarity with in silico modeling, Adverse Outcome Pathway (AOP) frameworks, or ICCVAM/OECD validation standards  
  4. Prior NIH and/or HHS contractor experience  
  5. Experience with cloud platforms or HPC environments  
  6. Peer-reviewed publications in a related field     
 
Equal Opportunity Employer: 
We are an Equal Opportunity Employer and do not discriminate in employment decisions on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local laws. All employment decisions are based on business needs, job requirements, and individual qualifications. 

Flexible work from home options available.