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Python Biology Jobs in Fairfax, VA (NOW HIRING)

Develop and automate data processing workflows using Python, R, or other scientific computing languages. * Interpret complex biological data and communicate findings through technical reports ...

Fluency in some scripting languages such as BASH, csh, Perl, or Python Preferred qualifications: * 5+ years of working with genetic and biological data * Proficiency in Python and/or JavaScript and ...

Fluency in some scripting languages such as BASH, csh, Perl, or Python Preferred qualifications: * 5+ years of working with genetic and biological data * Proficiency in Python and/or JavaScript and ...

Fluency in some scripting languages such as BASH, csh, Perl, or Python Preferred qualifications: * 5+ years of working with genetic and biological data * Experience with MongoDB or other NoSQL ...

New

... Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required. * Strong coding proficiency in Python ...

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Python Biology information

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$13

$59

$88

How much do python biology jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python biology in Fairfax, VA is $59.92, according to ZipRecruiter salary data. Most workers in this role earn between $49.38 and $68.08 per hour, depending on experience, location, and employer.

What is a Python biologist?

A Python biologist is a professional who uses the Python programming language to analyze and interpret biological data. They often work in fields like bioinformatics, genomics, and computational biology, developing software tools to process large datasets such as DNA sequences or protein structures. Python biologists help translate complex biological problems into computational solutions, enabling researchers to gain insights that would be difficult to achieve manually.

What are the key skills and qualifications needed to thrive as a computational biologist specializing in Python?

To thrive as a Computational Biologist with a focus on Python, you need a strong background in biology, bioinformatics, and programming, typically supported by a degree in biological sciences, computer science, or a related field. Familiarity with Python libraries like Biopython, NumPy, and pandas, as well as experience with data analysis tools and version control systems such as Git, is essential. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting biological data and collaborating with interdisciplinary teams. These competencies enable accurate data analysis, innovative research, and effective teamwork in advancing biological discoveries.

How do Python biology professionals typically collaborate with interdisciplinary teams in research settings?

Python Biology professionals often work closely with biologists, data scientists, and software engineers to analyze complex biological data. Collaboration usually involves translating biological questions into computational tasks, developing data pipelines, and presenting findings in a way that is accessible to both technical and non-technical stakeholders. Regular meetings and code reviews are common practices, ensuring that the software developed aligns with the scientific goals of the project. This interdisciplinary approach not only enhances research outcomes but also provides valuable learning and growth opportunities for team members.

What is the difference between Python Biology vs Bioinformatics Analyst?

AspectPython BiologyBioinformatics Analyst
Required CredentialsBiology degree, Python programming skillsBiology or related degree, Python and data analysis skills
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch institutions, biotech firms, healthcare organizations
Industry UsageData analysis, modeling biological systems using PythonAnalyzing biological data, developing pipelines, interpreting results

Python Biology focuses on applying Python programming to biological research, often emphasizing coding and data modeling. Bioinformatics Analysts combine biological knowledge with data analysis skills, including Python, to interpret complex biological datasets. Both roles require programming skills and work in similar environments, but Python Biology is more research and development-oriented, while Bioinformatics Analysts focus on data interpretation and analysis.

Is Python useful for biology?

Python is widely used in biology-related jobs for data analysis, modeling, and automation of research workflows. Skills in Python, along with knowledge of biological data formats and libraries like Biopython, are valuable for roles in bioinformatics, computational biology, and systems biology.

What are popular job titles related to Python Biology jobs in Fairfax, VA?

For Python Biology jobs in Fairfax, VA, the most frequently searched job titles are:

What cities near Fairfax, VA are hiring for Python Biology jobs?

Cities near Fairfax, VA with the most Python Biology job openings:

Infographic showing various Python Biology job openings in Fairfax, VA as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 7% Part Time, and 6% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $124,635 per year, or $59.9 per hour.

Biologicial Data Analyst

Staffed4U

Chantilly, VA โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 8 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.