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Bioinformatics Software Engineer Jobs in Virginia

ECS

Systems Architect with Security Clearance

Hampton, VA · On-site

$125K - $175K/yr

This engagement provides a spectrum of management, technologies development, applications/software engineering, bioinformatics support, and professional development. Please Note: This position is ...

ECS

Project Manager with Security Clearance

Hampton, VA · On-site

$115K - $155K/yr

This engagement provides a spectrum of management, technologies development, applications/software engineering, bioinformatics support, and professional development. The Project Manager will provide ...

ECS

Program Manager with Security Clearance

Hampton, VA · On-site

$150K - $190K/yr

This engagement provides a spectrum of management, technologies development, applications/software engineering, bioinformatics support, and professional development. The Program Manager will provide ...

Virginia Tech

Computational Scientist

Blacksburg, VA · On-site

Experience working with HPC clusters and workflow orchestration tools Familiarity with software ... bioinformatics / genomics, or 2. Computer Aided Engineering (CAE) for mechanical/aerospace ...

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All JobsBioinformatics Software Engineer JobsBioinformatics Software Engineer Jobs in Virginia

Bioinformatics Software Engineer information

See Virginia salary details

$42.6K

$129.9K

$236.5K

How much do bioinformatics software engineer jobs pay per year?

As of Jul 25, 2026, the average yearly pay for bioinformatics software engineer in Virginia is $129,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,200.00 and $155,700.00 per year, depending on experience, location, and employer.

What is a Bioinformatics Software Engineer job?

A Bioinformatics Software Engineer develops and maintains software tools, algorithms, and databases for analyzing biological data, such as genomic sequences and protein structures. They work at the intersection of computer science and biology, using programming languages like Python, Java, or R to process and interpret large-scale biological datasets. Their role is crucial in fields like genomics, drug discovery, and personalized medicine, where computational solutions help researchers derive meaningful insights from complex biological information.

What are the typical daily responsibilities of a Bioinformatics Software Engineer?

As a Bioinformatics Software Engineer, your day-to-day responsibilities typically include designing, developing, and maintaining software tools or pipelines for analyzing biological data such as DNA, RNA, or protein sequences. You may collaborate closely with researchers and scientists to understand biological problems and translate them into computational solutions, reviewing and optimizing code for efficiency and scalability. Troubleshooting data processing issues, integrating new algorithms, and contributing to documentation are also common tasks. Additionally, you might participate in cross-functional meetings and keep up with emerging technologies and trends in the field.

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

To thrive as a Bioinformatics Software Engineer, you need a strong background in software development (especially with Python, R, or C++), algorithm design, and biological data analysis, usually supported by a degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools, databases (like NCBI or Ensembl), version control systems (such as Git), and experience with cloud computing or high-performance computing environments is highly valued. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively with biologists and data scientists set candidates apart. These competencies are crucial for efficiently developing reliable software solutions that support complex biological research and data-driven discoveries.

What are the most commonly searched types of Bioinformatics Software Engineer jobs in Virginia? The most popular types of Bioinformatics Software Engineer jobs in Virginia are:
What are popular job titles related to Bioinformatics Software Engineer jobs in Virginia? For Bioinformatics Software Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Software Engineer jobs in Virginia look for? The top searched job categories for Bioinformatics Software Engineer jobs in Virginia are:
What are popular job titles related to Bioinformatics Software Engineer jobs in VA? For Bioinformatics Software Engineer jobs in VA, the most frequently searched job titles are:
Bioinformatics Software Engineer jobs near you
Infographic showing various Bioinformatics Software Engineer job openings in Virginia as of July 2026, with employment types broken down into 14% Locum Tenens, 3% As Needed, 59% Full Time, 11% Part Time, 2% Contract, and 11% Nights. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $129,929 per year, or $62.5 per hour.
Bioinformatics Full-Stack Developer

Bioinformatics Full-Stack Developer

Signature Science, LLC

Charlottesville, VA

$105K/yr

Full-time

Posted 10 days ago

Job description

Position Purpose:   

The bioinformatics full-stack developer is responsible for building and maintaining a digital bridge between frontend user-facing applications and backend bioinformatics pipelines. This position will oversee the delivery of high-quality software capable of analyzing nucleotide sequence data to produce actionable and user-friendly reports. The ideal candidate will be prepared to oversee and contribute to the development of an integrated software stack for characterization of DNA sequencing data on local hardware systems. 
             

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

Essential Duties and Responsibilities:

  • Work with a team to develop and test full-stack software for analysis and interpretation of whole genome sequencing data, including front and back-end software components.
  • Implement and test data processing workflows and automated analysis pipelines. Optimize reproducible software pipelines that produce consistent, standardized results.
  • Oversee workflow bench marking and testing, identifying inconsistencies and resolving issues.
  • Contribute to management of computing hardware, operational logistics, and data warehousing.
  • Contribute to the preparation of standard operating procedures, document source code/workflows, and write reports to summarize computational requirements, processing status, and customized analysis results.
  • Communicate and interact regularly with project team members and stakeholders. 

Required Knowledge, Skills & Abilities:

  • Advanced proficiency working in a Unix/Linux environment.
  • Advanced proficiency using version control software (e.g., Git) to manage programming code.
  • Advanced proficiency with C++.
  • Proficiency in developing software user interfaces.
  • Proficiency with open-source software, tools, and databases for analyzing next-generation sequencing data.
  • Proficiency with at least one programming or run-time interpreted programming language.
  • Proficiency with Continuous Integration and Continuous Deployment/Delivery (CI/CD).
  • Experience managing a development project including multiple teams.
  • Familiarity with issue and project tracking software.
  • Skilled at time and priority management.
  • Excellent written and oral communication skills.
  • Preferred: Proficiency with Python.
  • Preferred: proficiency with R, RMarkdown, and the "tidyverse" tools for data analysis.
  • Preferred: Experience with NextFlow, SnakeMake, or similar workflow/pipeline management systems.
  • Preferred: Proficiency working with and developing using containerization technology.
  • Preferred: Familiarity with AWS and/or Azure cloud computing.

Education/Experience:

  • Required: 5+ years of previous work experience in a full-stack developer role
  • Required: BS/BA in Computer Science, Software Engineering, Bioinformatics, or related field
  • Preferred: MS or PhD in Computer Science, Software Engineering, Bioinformatics, or related field
  • Preferred: Experience managing and analyzing large-scale datasets produced by DNA sequencing platforms and delivering solutions for managing, visualizing, analyzing, and interpreting genomic 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:

  • Serve as a task leader within one or more projects.

 

Working Conditions/ Equipment:

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