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Bioinformatic Analyst Jobs in Virginia (NOW HIRING)

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

In this role, you will provide computational, data science, and bioinformatics support for Office ... You will develop and maintain NIH databases, build analytical tools, support computational modeling ...

Imagineeer LLC

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

Develop and execute analytical workflows to process, analyze, and interpret large-scale biomedical ... Apply computational and bioinformatics methods in support of New Approach Methodologies (NAMs ...

Virginia Tech

Postdoctoral Associate

Blacksburg, VA

The successful candidate will participate in all aspects of the research program, including experimental design, molecular laboratory work, bioinformatic analyses, data interpretation, and the ...

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Bioinformatic Analyst information

See Virginia salary details

$30.7K

$72.6K

$128.9K

How much do bioinformatic analyst jobs pay per year?

As of Aug 2, 2026, the average yearly pay for bioinformatic analyst in Virginia is $72,633.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $86,300.00 per year, depending on experience, location, and employer.

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is not expected to fully replace bioinformatic analysts. Professionals in this field will continue to be essential for interpreting complex biological data, designing experiments, and validating results, often using programming skills and bioinformatics software. AI complements human expertise rather than replacing it entirely.

What are the key skills and qualifications needed to thrive as a Bioinformatic Analyst, and why are they important?

To thrive as a Bioinformatic Analyst, you need a strong background in biology, statistics, and computer science, often supported by a relevant degree such as bioinformatics, computational biology, or a related field. Proficiency in programming languages like Python or R, experience with next-generation sequencing (NGS) data analysis tools, and familiarity with databases such as GenBank are typically required. Critical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills are crucial for extracting meaningful insights from biological data and advancing research or clinical objectives.

What is the average salary for a bioinformatics analyst?

The average salary for a bioinformatics analyst typically ranges from $60,000 to $90,000 per year, depending on experience, education, and location. Professionals with advanced skills in programming, data analysis, and familiarity with tools like R or Python tend to earn higher salaries.

What are some common challenges a Bioinformatic Analyst faces when working with large-scale genomic data?

One of the primary challenges for Bioinformatic Analysts is managing and analyzing massive datasets generated by next-generation sequencing technologies. Ensuring data quality, handling data storage, and optimizing computational resources are critical aspects of the role. Analysts must also develop or adapt pipelines to process complex data efficiently and accurately, often collaborating closely with biologists, statisticians, and IT specialists. Staying updated on rapidly evolving tools and best practices is essential to ensure high-quality, reproducible results.

What does a bioinformatics analyst do?

A bioinformatics analyst interprets biological data using computational tools and statistical methods to support research and development in areas like genomics and proteomics. They often work with large datasets, utilize programming languages such as Python or R, and may be involved in data visualization and database management. The role typically requires knowledge of biology, computer science, and relevant software or algorithms.

What biology jobs pay over $100k?

Bioinformatic analysts with advanced skills in data analysis, programming, and genomics can earn over $100,000 annually, especially with experience or in senior roles. Other high-paying biology-related jobs include biostatisticians, biomedical directors, and research scientists working in pharmaceuticals or biotech companies, often requiring advanced degrees and specialized expertise.

What does a Bioinformatic Analyst do?

A Bioinformatic Analyst uses computational tools and techniques to analyze biological data, such as DNA, RNA, or protein sequences. They work closely with researchers and scientists to interpret complex datasets, identify patterns, and draw meaningful conclusions that can advance scientific understanding or medical research. Their responsibilities may include processing raw data, developing algorithms, and creating visualizations to present results. Bioinformatic Analysts often work in fields like genomics, pharmaceuticals, and biotechnology.
What are popular job titles related to Bioinformatic Analyst jobs in Virginia? For Bioinformatic Analyst jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Bioinformatic Analyst jobs in Virginia look for? The top searched job categories for Bioinformatic Analyst jobs in Virginia are:
What cities in Virginia are hiring for Bioinformatic Analyst jobs? Cities in Virginia with the most Bioinformatic Analyst job openings:
Bioinformatic Analyst jobs near you
Infographic showing various Bioinformatic Analyst job openings in Virginia as of July 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $72,633 per year, or $34.9 per hour.

Scientific Data Analyst

IMAGINEEER LLC

Arlington, VA • On-site

$110K - $115K/yr

Full-time

Medical, Retirement, PTO

Re-posted 23 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.