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Computational Biologist Bioinformatics Jobs (NOW HIRING)

Foundation Medicine

Computational Biologist I

Boston, MA · Hybrid

$112K - $133K/yr

The Computational Biologist I contributes to the early innovation of novel bioinformatics methods and genomic signatures in oncology. Leveraging Foundation Medicine's FoundationCORE dataset of 800 ...

Transcripta Bio

Computational Biologist

Palo Alto, CA · On-site

Develop, maintain, and optimize reproducible bioinformatics pipelines for processing, QC, and ... PhD in Bioinformatics, Computational Biology, Genomics, or a related field with 3+ years of ...

Foundation Medicine

Computational Biologist I

Boston, MA · Hybrid

$112K - $133K/yr

About the Job The Computational Biologist I contributes to the early innovation of novel bioinformatics methods and genomic signatures in oncology. Leveraging Foundation Medicine's FoundationCORE ...

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How much do computational biologist bioinformatics jobs pay per year?

As of Aug 24, 2026, the average yearly pay for computational biologist bioinformatics in the United States is $93,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $117,000.00 per year, depending on experience, location, and employer.

What is a computational biologist in bioinformatics?

A computational biologist in bioinformatics is a scientist who uses computer science, mathematics, and statistics to analyze and interpret biological data. They develop algorithms, software, and models to study complex biological systems, such as genomes, proteins, and cellular processes. This work often involves analyzing large datasets generated by technologies like DNA sequencing, with applications in medicine, genetics, and evolutionary biology. Computational biologists collaborate with other researchers to gain insights into biological questions and support discoveries in life sciences.

How does a computational biologist in bioinformatics typically collaborate with wet-lab researchers?

Computational Biologists in Bioinformatics frequently work alongside wet-lab researchers to analyze experimental data, design experiments, and interpret biological results. Collaboration often involves regular meetings to discuss data requirements, troubleshoot analysis pipelines, and validate findings. Strong communication skills are important, as computational experts must translate complex data into actionable insights for colleagues with varying technical backgrounds. This interdisciplinary teamwork is key to driving successful research outcomes and advancing biological discoveries.

What are the key skills and qualifications needed to thrive as a computational biologist in bioinformatics, and why are they important?

To thrive as a Computational Biologist in Bioinformatics, you need a solid background in biology, statistics, and computer science, often supported by a relevant degree such as bioinformatics or computational biology. Proficiency in programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and familiarity with databases and high-performance computing are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with interdisciplinary teams. These skills and qualities are essential for extracting meaningful insights from large biological datasets and advancing scientific research.
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Computational Biologist Bioinformatics jobs near you
Infographic showing various Computational Biologist Bioinformatics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 53% Full Time, 45% Part Time, and 1% Contract. Highlights an 49% Physical, 2% Hybrid, and 49% Remote job distribution, with an average salary of $93,988 per year, or $45.2 per hour.

Computational Biologist

Boston, MA • On-site

Odyssey Therapeutics, Inc.
See more jobs at Odyssey Therapeutics, Inc.external

$120K - $180K/yr

Full-time

Posted 21 days ago

Job description

Odyssey Therapeutics is propelling drug development beyond what is now possible to deliver medicines that address critical needs of patients with inflammatory and immunology diseases. We achieve unprecedented speed and efficiency by bringing together a target-centric approach, a toolbox of cutting-edge technologies, and a team of accomplished, world-class drug hunters. By reimagining the drug development process, we are creating a deep and broad drug pipeline that holds the potential to transform human health.
The opportunity:
Odyssey Therapeutics is seeking a Computational Biologist to support target discovery, translational biology, biomarker development, and clinical data analysis across our portfolio of autoimmune and inflammatory disease programs.
This role will work closely with Discovery Biology, Translational Medicine, Clinical Development, and external collaborators to analyze and integrate genomic, transcriptomic, and clinical datasets to generate actionable biological insights that support therapeutic hypothesis generation, patient stratification, and clinical development strategies.
Your primary objectives will be:
  • Analyze internal and publicly available omics datasets to support target discovery, translational research, and therapeutic hypothesis generation.
  • Develop, maintain, and optimize robust bioinformatics pipelines for the analysis of multi-omics datasets.
  • Analyze GWAS, eQTL, transcriptomic, proteomic, and other human disease datasets to identify disease-relevant pathways, therapeutic targets, and biomarkers.
  • Evaluate clinical and translational datasets to identify biomarkers associated with therapeutic response, resistance, and disease progression.
  • Collaborate closely with Discovery Biology, Chemistry, Translational Medicine, and Clinical Development teams to integrate diverse datasets and generate actionable biological insights.
  • Present scientific findings to cross-functional teams and contribute to internal reports, scientific presentations, publications, and external communications.

About you:
  • Ph.D. (or equivalent experience) in Computational Biology, Bioinformatics, Genetics, Immunology, Systems Biology, or a related discipline.
  • 2+ years of experience developing bioinformatics pipelines and applying computational approaches to immunology and/or drug discovery in an industry or academic setting.
  • Deep expertise in computational biology, bioinformatics, and statistical analysis of large-scale biological datasets.
  • Experience analyzing GWAS, whole-genome sequencing (WGS), and other human genetics datasets.
  • Experience working with large public genomics resources such as GEO, ArrayExpress, UK Biobank, All of Us, Open Targets, FinnGen, or similar repositories.
  • Demonstrated expertise in developing pipelines for bulk and single-cell omics technologies, including RNA-seq, scRNA-seq, CITE-seq, ATAC-seq, ChIP-seq, WGS, and WES.
  • Strong proficiency in R and/or Python, with experience using version control and developing reproducible, standardized analysis workflows.
  • Ability to rapidly learn and apply new computational methods and emerging omics technologies.
  • Broad understanding of molecular biology, cell biology, biochemistry, and translational research.
  • Familiarity with autoimmune, inflammatory, or immune-mediated diseases.
  • Experience managing and analyzing large, complex datasets across multiple research programs.
  • Proven ability to work collaboratively with computational scientists, biologists, chemists, and cross-functional project teams.
  • Strong scientific communication skills, with the ability to independently perform analyses and clearly communicate findings to both computational and non-computational audiences.
  • Demonstrated scientific contributions to computational biology and drug discovery through publications, presentations, or other impactful research.
  • Creative, scientifically rigorous, and motivated to solve challenging biological problems in a collaborative environment.
  • Experience supporting translational medicine, biomarker discovery, or clinical development programs is preferred.
  • Experience integrating multi-modal omics datasets and applying AI or machine learning approaches to biological data analysis is preferred.

Pay Range Disclosure Statement:
The ranges provided are based on what we believe are reasonable estimate for the base salary pay ranges for this job at the time of posting. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.
The pay range for this role is:
120,000 - 180,000 USD per year (Boston, MA)

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