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Bioinformatic Analyst Jobs in Virginia (NOW HIRING)

Staffed4U

Biologicial Data Analyst

Chantilly, VA · On-site +1

In this role, you will perform biological data analysis and bioinformatics to support the evaluation of biological hazards and emerging threats. Working as part of a multidisciplinary technical team ...

IMAGINEEER LLC

Scientific Data Analyst

Arlington, VA · On-site

$90 - $120/hr

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

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 ...

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All JobsBioinformatic Analyst JobsBioinformatic Analyst Jobs in Virginia

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 23, 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.

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 the key skills and qualifications needed to thrive as a bioinformatic analyst?

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 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.

Is bioinformatic analyst a stressful job?

Bioinformatic analysts often work in research or healthcare settings, analyzing large datasets and developing computational tools, which can involve tight deadlines and complex problem-solving. The level of stress varies depending on workload, project deadlines, and workplace environment, but the role generally requires strong attention to detail and technical skills. Managing workload and staying organized can help reduce stress in this position.

Is bioinformatics well paying?

Bioinformatic analysts typically earn competitive salaries that vary by experience, education, and location. In general, the field offers above-average pay compared to many other entry-level science roles, especially for those with advanced skills in programming, data analysis, and familiarity with tools like R or Python.

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 August 2026, with employment types broken down into 81% Full Time, 14% Part Time, and 5% Contract. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $72,633 per year, or $34.9 per hour.

Biologicial Data Analyst

Staffed4U

Chantilly, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 11 days ago

Job description

 

Location: Chantilly, VA
Employment Type: Full-Time

Clearance: TS/SCI with Full-Scope

Position Overview

We are seeking a Biological Data Analyst to support defense and government customers in Chantilly, VA. In this role, you will perform biological data analysis and bioinformatics to support the evaluation of biological hazards and emerging threats. Working as part of a multidisciplinary technical team, you will analyze complex genomic and biological datasets, develop computational workflows, and deliver actionable insights that inform mission-critical decision-making.

This position is ideal for individuals with a strong foundation in bioinformatics, computational biology, or genomics who enjoy applying data science and analytical techniques to solve complex biological challenges.

Key Responsibilities
  • Analyze genomic, sequencing, and other biological datasets to identify microbial characteristics, genetic variants, mutations, and potential biological hazards.
  • Execute, maintain, and optimize bioinformatics pipelines for sequence alignment, variant identification, and biological data processing.
  • Develop and automate data processing workflows using Python, R, or other scientific computing languages.
  • Interpret complex biological data and communicate findings through technical reports, briefings, and presentations tailored to both technical and non-technical audiences.
  • Maintain biological databases and ensure quality control through standardized operating procedures and data validation practices.
  • Collaborate with scientists, analysts, and technical subject matter experts to evaluate biological data against customer requirements and mission objectives.
  • Support continuous improvement of analytical methodologies, computational workflows, and data management processes.
  • Ensure data integrity, reproducibility, and compliance with established quality standards.
Required QualificationsEducation
  • Bachelor's, Master's, or Ph.D. in:
    • Bioinformatics
    • Computational Biology
    • Computational Genetics
    • Biology with a computational emphasis
    • Or a related quantitative life sciences discipline
Experience
  • Two (2) or more years of professional experience analyzing biological data or developing bioinformatics workflows.
Technical Qualifications
  • Proficiency in Python, R, or another scientific programming language for biological data analysis.
  • Experience using standard bioinformatics tools for sequence alignment and genomic analysis.
  • Familiarity with genomic databases and biological data repositories.
  • Experience processing, analyzing, and interpreting genomic or sequencing datasets.
  • Strong analytical, problem-solving, and technical communication skills.
Preferred Qualifications
  • Experience supporting federal government, defense, or national security programs.
  • Familiarity with microbial genomics, pathogen characterization, or biological threat analysis.
  • Experience developing automated bioinformatics pipelines.
  • Knowledge of biological database management and data quality assurance practices.
  • Ability to communicate complex scientific findings to diverse technical and non-technical audiences.
Technical Environment
  • Python
  • R
  • Bioinformatics Pipelines
  • Genomic Databases
  • Sequence Alignment Tools
  • Variant Analysis
  • Biological Data Processing
  • Data Visualization
  • Scientific Computing
Benefits

Our client offers a comprehensive benefits package designed to support employees' health, financial well-being, professional development, and work-life balance.

  • Flexible Time Off to promote a healthy work-life balance while supporting business needs.
  • Hybrid Work Environment with remote and onsite work flexibility based on program requirements.
  • 401(k) Retirement Savings Plan with employer contributions to help you plan for the future.
  • Paid Parental Leave for employees welcoming a new child through birth, adoption, or foster placement.
  • Comprehensive Health Coverage, including medical, dental, vision, and other healthcare benefit options.
  • Professional Development & Continuing Education opportunities, including job-related training, certifications, and career advancement resources.
Why Join Us?

Join a collaborative team supporting critical national security and scientific missions through advanced biological and chemical data analysis. You'll have the opportunity to work alongside experts in computational science, leverage cutting-edge analytical tools, and contribute directly to projects that help address complex defense and government challenges while continuing to grow your technical expertise.