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Full Time Bioinformatics Software Engineer Jobs (NOW HIRING)

Axle

Bioinformatics Engineer

Rockville, MD

With experts in biomedical science, software engineering, and program management, we focus on ... Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ...

Axle

Bioinformatics Engineer

Rockville, MD · On-site

With experts in biomedical science, software engineering, and program management, we focus on ... Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ...

Caltech

Bioinformatics Support Specialist

Pasadena, CA · On-site

Caltech is a world-renowned science and engineering institute that marshals some of the world ... Job Summary The Ismagilov Lab at Caltech is hiring a full-time Bioinformatics Support Specialist ...

BCC-NIH

Program Principal Engineer

Bethesda, MD · On-site

This opportunity is full time and onsite/hybrid at the NIH in Bethesda, MD. Duties ... NCBI bioinformatics software and information retrieval systems * Work with a diverse group of ...

Baylor Genetics

Sr HPC Engineer

Houston, TX · On-site

$96K - $132K/yr

MS with extensive industry experience may be considered. • 8+ years' experience in bioinformatics software engineering, computational genomics, or related field. • 4+ years' experience leading or ...

BiomeSense

Senior Bioinformatics Engineer

Chicago, IL · On-site

... software engineering best practices including wireframe design, unit testing, version control, code review, and security and compliance. Qualifications : Required : • B.S. /M.S. /PhD in ...

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Full Time Bioinformatics Software Engineer information

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$43K

$131.1K

$238.5K

How much do full time bioinformatics software engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for full time bioinformatics software engineer in the United States is $131,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Bioinformatics Software Engineer vs Bioinformatics Data Analyst?

AspectFull Time Bioinformatics Software EngineerBioinformatics Data Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related field; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related field; data analysis skills
Work EnvironmentDevelops software tools, algorithms, and pipelines in research or industry labsAnalyzes biological data, generates reports, and visualizations in research or healthcare settings
Employer & Industry UsageTech companies, biotech firms, research institutionsHealthcare providers, research labs, pharmaceutical companies

Full Time Bioinformatics Software Engineers focus on developing software solutions and algorithms, while Bioinformatics Data Analysts primarily interpret biological data and generate insights. Both roles require strong computational skills but differ in their core responsibilities and daily tasks.

More about Full Time Bioinformatics Software Engineer jobs
What are the most commonly searched types of Bioinformatics Software Engineer jobs? The most popular types of Bioinformatics Software Engineer jobs are:
What states have the most Full Time Bioinformatics Software Engineer jobs? States with the most job openings for Full Time Bioinformatics Software Engineer jobs include:
What job categories do people searching Full Time Bioinformatics Software Engineer jobs look for? The top searched job categories for Full Time Bioinformatics Software Engineer jobs are:
Full Time Bioinformatics Software Engineer jobs near you
Infographic showing various Full Time Bioinformatics Software Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 18% Full Time, and 81% Part Time. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $131,053 per year, or $63 per hour.

Scientist, Bioinformatics

Arc Institute

Palo Alto, CA • On-site

Full-time

Posted 21 days ago

Job description

Job Summary:
Arc Institute is an independent nonprofit research organization focused on the intersection of artificial intelligence and biology, aiming to accelerate scientific progress in understanding complex diseases. The Bioinformatics Scientist will develop and apply computational methods to high-throughput biological datasets, collaborating with scientists to analyze data and translate findings into actionable biological insights.
Responsibilities:
• Implement, test, and maintain state-of-the-art analysis pipelines for various high-throughput projects using best software engineering practices.
• Run the production pipelines for large-scale production datasets and provide quality assurance to experimentalists and technologists.
• Analyze large-scale sequencing datasets (single-cell RNA-seq, epigenomics, multi-omics, Perturb-seq, spatial transcriptomics), public and generated in-house.
• Process sequencing data as they come off instruments, monitoring runs, producing actionable results, and troubleshooting issues to ensure timely delivery.
• Communicate analysis results to experimental and computational scientists.
• Partner with experimentalists to troubleshoot analyses and help interpret pipeline outputs.
• Manage code repositories on GitHub, document workflows, and maintain computational environments to ensure pipeline reliability. Support multiple concurrent projects across different Technology Centers, requiring effective context-switching.
Qualifications:
Required:
• Ph.D. in Bioinformatics, Computational Biology, Computer Science, or related quantitative field.
• 1–2 years of post-Ph.D. experience in bioinformatics, computational biology, genomics, or related analysis of high-throughput sequencing datasets in an academic, biotech, pharmaceutical, or research institute setting.
• Hands-on experience analyzing single-cell omics data, including scRNA-seq, scATAC-seq, and Perturb-seq, encompassing end-to-end workflows from raw data processing (alignment, quantification and QC) through dimensionality reduction, clustering, cell type annotation, trajectory inference, and differential expression analysis.
• Hands-on experience leveraging AI-assisted development tools (e.g. Claude Code, GitHub Copilot, OpenAI Codex) to accelerate software development workflows, including automated code generation, refactoring, and review; and applying AI-assisted data analysis techniques to extract insights from large or complex datasets.
• Demonstrated ability to collaborate effectively with wet-lab scientists, translating biological questions into computational analyses, communicating quantitative results to non-computational audiences, and iterating on analytical approaches in response to experimental findings; experience participating in cross-functional research teams spanning experimental design, data generation, and computational interpretation.
• High competency with Python, git/GitHub, and Linux.
• Strong statistical, mathematical, and data science skills.
Preferred:
• Familiarity with CRISPR screen analysis, including Perturb-seq experimental design considerations, guide assignment, and perturbation effect modeling.
• Scientific background in one or more disease-relevant areas, including neurodegeneration, cancer biology, or immunology.
• Experience with cloud computing platforms (particularly GCP) for running production-scale pipelines.
• Experience contributing to or maintaining open-source bioinformatics software, including writing tests, documentation, and versioned releases.
• Comfort working with large imaging-based datasets or familiarity with image analysis pipelines is a plus.
Company:
Arc Institute is a biomedical science and research technology company. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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