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Python Bioinformatics Jobs in Virginia (NOW HIRING)

Biologicial Data Analyst

Chantilly, VA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

Execute, maintain, and optimize bioinformatics pipelines for sequence alignment, variant identification, and biological data processing. * Develop and automate data processing workflows using Python ...

New

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

... bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ... Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building ...

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Python Bioinformatics information

See Virginia salary details

$13

$58

$85

How much do python bioinformatics jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for python bioinformatics in Virginia is $58.12, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 per hour, depending on experience, location, and employer.

What is a Python bioinformatics?

A Python Bioinformatics job involves using Python programming to analyze and interpret biological data, such as DNA sequences, protein structures, and genomic information. Professionals in this role develop algorithms, write scripts, and use bioinformatics libraries like Biopython to process large datasets efficiently. They often work in research institutions, pharmaceutical companies, or healthcare organizations to support scientific discoveries and advancements in medicine. Strong skills in Python, data analysis, and computational biology are essential for success in this field.

What does a Python bioinformatics do?

A typical workday for a Python Bioinformatics professional often involves developing and maintaining data analysis pipelines, processing large biological datasets, and interpreting results in collaboration with biologists and other researchers. You'll spend substantial time writing scripts, troubleshooting code, and integrating different bioinformatics tools to address specific research questions. Team meetings and presentations are common, as the role requires frequent interaction with cross-functional colleagues. This dynamic environment offers the opportunity to stay engaged with new technologies and make meaningful contributions to scientific discovery.

What skills and qualifications are needed for a Python bioinformatics?

To thrive as a Python Bioinformatics professional, you need a strong foundation in biological sciences, proficiency in Python programming, and experience analyzing complex biological datasets. Familiarity with bioinformatics tools such as Biopython, BEDtools, and databases like NCBI, as well as knowledge of cloud computing platforms and relevant certifications, is commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with interdisciplinary teams. These competencies are vital for interpreting biological data accurately, developing reliable pipelines, and advancing research objectives.

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

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

What are popular job titles related to Python Bioinformatics jobs in Virginia?

For Python Bioinformatics jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Python Bioinformatics jobs in Virginia look for?

The top searched job categories for Python Bioinformatics jobs in Virginia are:

Infographic showing various Python Bioinformatics job openings in Virginia as of August 2026, with employment types broken down into 2% Internship, 88% Full Time, 4% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $120,887 per year, or $58.1 per hour.

Associate Bioinformatics Data Scientist

Signature Science, LLC

Charlottesville, VA

$56K - $57K/yr

Full-time

Re-posted 15 days ago


Job description

Position Purpose:   

A bioinformatics data scientist is responsible for providing experimental design consulting and data analysis for large, high-throughput genomic experiments, with a focus on forensics and metagenomics. The bioinformatics data scientist will be responsible for designing and implementing annotated code for managing, manipulating, and analyzing large-scale genomic data, and for preparing thorough documentation and reporting.

This position is a full-time, on-site role at the Signature Science office in Charlottesville, VA.

Essential Duties and Responsibilities:

  • Develop tools for management, analysis and interpretation of high-density microarray and whole genome sequencing data.
  • Manage, manipulate, and analyze data using a combination of R, python, and UNIX tools.
  • Use established domain-specific open-source software and tools to manipulate and analyze genomic data.
  • Implement and execute data processing workflows and automated analytic pipelines.
  • ·     Apply literateprogramming methods to develop reproducible workflows that produce consistent, standardized tables and figures.
  • Conduct workflow benchmarking and documentation, identifying inconsistencies and resolving data problems.
  • Prepare SOPs, document source code/workflows, and write reports to summarize computational requirements, processing status, and customized analysis results.

Required Knowledge, Skills & Abilities:

  • Advanced proficiency working in a Unix/Linux environment.
  • Advanced proficiency with open-source software, tools, and databases for analyzing next-generation sequencing data (whole-genome sequencing, RNA-seq, epigenetics, microbiome, and metagenomics).
  • Proficiency working with and developing using Docker and/or Singularity container technology.
  • Proficiency using version Control software (e.g., Git or similar) to manage programming code.
  • Proficiency with Python, Perl, or another scripting language.
  • Proficiency with R, RMarkdown, and the "tidyverse" tools for data analysis.
  • Preferred: Experience with NextFlow, SnakeMake, or similar workflow/pipeline management systems.
  • Preferred: Familiarity with developing and querying relational databases.
  • Preferred: Familiarity with AWS and/or Azure cloud computing.

Education/Experience:

  • BA or BS in Computer Science, Bioinformatics, or related field
  • Experience managing and analyzing large-scale datasets produced sequencing platforms and delivering solutions for managing, visualizing, analyzing, and interpreting genomic data
  • Experience using Linux/Unix text processing tools, R, and other open-source tooling to manipulate and format data, to assess data quality, and analyze data.

Clearance:

  • This position requires that the candidate be willing and able to complete a successful background screening for a security clearance. Candidates with a current security clearance will receive preference.

Supervisory Responsibilities:

  • May serve as a bioinformatics task lead.

Working Conditions/ Equipment:

  • Ability to work in varying conditions to include: traditional office environments with sedentary extended periods required for code development and testing.
Employment Type: FULL_TIME