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Bioinformatics 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 of Research Innovation, Validation, and Application's (ORIVA) research validation and application ...

CRDF Global

Biosecurity Expertise

Arlington, VA · On-site

Securing genomic databases, patient data, and bioinformatics pipelines from exfiltration or manipulation. Cross-Cutting Security and Governance Domains: Experts should also demonstrate experience in ...

CRDF Global

Biosecurity Expertise

Arlington, VA · On-site

Bioinformatics and Emerging Biotechnologies * Synthetic biology, gene editing (e.g., CRISPR), computational pipelines with dual-use potential. * Supply Chain Security for Biological Materials * Risk ...

Varsity Tutors

Genetics Tutor

Richmond, VA · Remote

$40/hr

Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to support biology majors and pre-medical students preparing for graduate-level genetics or MCAT biological ...

Varsity Tutors

Genetics Tutor

Alexandria, VA · Remote

$40/hr

Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to support biology majors and pre-medical students preparing for graduate-level genetics or MCAT biological ...

Varsity Tutors

Genetics Tutor

Fairfax, VA · Remote

$40/hr

Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to support biology majors and pre-medical students preparing for graduate-level genetics or MCAT biological ...

Varsity Tutors

Genetics Tutor

Charlottesville, VA · Remote

$40/hr

Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to support biology majors and pre-medical students preparing for graduate-level genetics or MCAT biological ...

Varsity Tutors

Genetics Tutor

Salem, VA · Remote

$40/hr

Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to support biology majors and pre-medical students preparing for graduate-level genetics or MCAT biological ...

Varsity Tutors

Genetics Tutor

Leesburg, VA · Remote

$40/hr

Adapts instruction using Punnett squares, pedigree practice sets, and bioinformatics tools to support biology majors and pre-medical students preparing for graduate-level genetics or MCAT biological ...

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All JobsBioinformatics JobsBioinformatics Jobs in Virginia

Bioinformatics information

See Virginia salary details

$59K

$93.7K

$148.2K

How much do bioinformatics jobs pay per year?

As of Jun 15, 2026, the average yearly pay for 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.

Is AI going to replace bioinformatics?

AI is a tool that enhances bioinformatics by automating data analysis and pattern recognition, but it is unlikely to fully replace bioinformatics professionals. Bioinformatics jobs require domain expertise, interpretation skills, and understanding of biological context that AI cannot fully replicate. Professionals in this field will continue to work alongside AI to improve research and diagnostics.

What are typical day-to-day responsibilities for someone working in bioinformatics?

A typical day in bioinformatics often involves analyzing large biological datasets, such as genomic or proteomic sequences, using specialized software and programming languages. You might spend time developing or modifying algorithms, visualizing complex data, and applying statistical methods to interpret research findings. Collaborating closely with biologists, data scientists, and clinicians is common to ensure that computational results are aligned with biological questions. Bioinformatics professionals are also expected to document their work, present findings, and stay updated with new tools and advances in the field, making for a dynamic and engaging work environment.

What is a Bioinformatics job?

A Bioinformatics job involves using computational tools and techniques to analyze biological data, such as genomic sequences, protein structures, and clinical information. Professionals in this field work at the intersection of biology, computer science, and statistics to develop algorithms, databases, and software for processing large-scale biological data. Bioinformaticians are employed in academia, pharmaceutical companies, healthcare, and biotechnology sectors to assist with research, drug discovery, and personalized medicine. Key skills include programming, data analysis, and a strong understanding of molecular biology.

What are the jobs in bioinformatics?

Jobs in bioinformatics include roles such as bioinformatics analyst, computational biologist, research scientist, and data scientist. These positions typically involve analyzing biological data using programming skills, statistical tools, and software like R or Python, often in research institutions, biotech companies, or healthcare settings.

Is bioinformatics a useful degree?

Bioinformatics is a valuable degree for careers involving computational analysis of biological data, such as genomics and drug discovery. It combines skills in biology, computer science, and data analysis, often requiring knowledge of programming languages and tools like Python or R. Graduates can work in research, healthcare, biotech, and pharmaceutical industries, where demand for data-driven biological insights is high.

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

To thrive in bioinformatics, you need expertise in biological sciences, strong programming skills (such as Python, R, or Perl), and a solid understanding of statistics, typically supported by a degree in bioinformatics, computational biology, or a related field. Familiarity with bioinformatics databases, software tools (like BLAST, Bioconductor, or Galaxy), and experience with next-generation sequencing data analysis are highly valued. Analytical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating in interdisciplinary research environments. These skills are crucial for accurately interpreting complex biological data, developing useful computational solutions, and successfully contributing to scientific advancements.

Is bioinformatics well paid?

Bioinformatics professionals typically earn competitive salaries that vary by experience, education, and location. Entry-level positions often start around $60,000 to $80,000 annually, with experienced roles exceeding $100,000, especially in biotech and pharmaceutical industries. Skills in programming, data analysis, and familiarity with tools like Python or R can enhance earning potential.
What are the most commonly searched types of Bioinformatics jobs in Virginia? The most popular types of Bioinformatics jobs in Virginia are:
What are popular job titles related to Bioinformatics jobs in Virginia? For Bioinformatics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Bioinformatics jobs in Virginia look for? The top searched job categories for Bioinformatics jobs in Virginia are:
What cities in Virginia are hiring for Bioinformatics jobs? Cities in Virginia with the most Bioinformatics job openings:
Bioinformatics jobs near you
Infographic showing various Bioinformatics job openings in Virginia as of June 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $93,664 per year, or $45 per hour.

Scientific Data Analyst

Imagineeer LLC

Arlington, VA • On-site

$110K - $115K/yr

Full-time

Medical, Retirement, PTO

Posted 7 days ago

Job description

Replies within 24 hours
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.
Compensation: $110,000.00 - $115,000.00 per year
About Us
Our Approach
We firmly believe in the uniqueness of every business, necessitating a personalized approach to transformation. This conviction drives us to invest time in comprehending an organization's historical challenges and operational framework. Our commitment is to foster innovation by adopting a tailored strategy that optimizes the utilization of an organization's human resources and data assets. With a wealth of experience, we specialize in guiding organizations through the implementation of post-quantum security, protocols for autonomy, and artificial intelligence.
We are committed to working with clients to positively disrupt, modernize, and transform their organizations and business processes. Noteworthy achievements include initiatives aimed at enhancing human resilience in the food supply chain, leveraging autonomy for streamlined operations, establishing root-of-trust capabilities for high-quality, trusted data, and designing ecosystems and tools for securing and transferring digital value through digital wallets. . Our proficiency extends to using artificial intelligence and data to fortify security and enhance visibility in data assets, aiding in the management of health issues at local, state, and national levels. We've developed a modern security posture to effectively mitigate risks associated with cyber attacks from nation-states. Our wealth of experience is underpinned by collaborative work with diverse multidisciplinary teams, thriving in highly complex and rapidly changing environments.

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