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Computational Biology Scientist Jobs (NOW HIRING)

PhD degree from an accredited institution with experience in computational sciences or a related scientific discipline (e.g., Computer sciences, Computational Biology, Genomics, Biostatistics ...

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We are seeking a driven, analytical Scientist, Computational Biology to join our early-stage research team. In this role, you will leverage large-scale, publicly available human biobanks to evaluate ...

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Computational Biology Scientist information

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$50.5K

$111.3K

$137.5K

How much do computational biology scientist jobs pay per year?

As of Sep 1, 2026, the average yearly pay for computational biology scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What does a computational biology scientist do?

A Computational Biology Scientist uses computer-based methods and mathematical models to analyze and interpret biological data, such as genetic sequences or protein structures. They often work on projects like drug discovery, disease research, and genomics by developing algorithms and software tools. Their work bridges the gap between biology and computer science, helping to uncover insights from complex biological systems. These scientists typically collaborate with laboratory biologists, clinicians, and data analysts to solve challenging problems in life sciences.

How does a computational biology scientist typically collaborate with experimental biologists and data analysts during research projects?

Computational Biology Scientists often work closely with experimental biologists to design experiments, interpret biological data, and develop computational models that help answer complex biological questions. They also collaborate with data analysts to manage, process, and visualize large datasets, ensuring data integrity and reproducibility. Effective communication and teamwork are essential, as these collaborations help translate computational findings into testable hypotheses and actionable insights, ultimately advancing research goals.

What are the key skills and qualifications needed to thrive as a computational biology scientist, and why are they important?

To thrive as a Computational Biology Scientist, you need a strong foundation in biology, statistics, and computer science, often supported by an advanced degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics software, and knowledge of data analysis platforms are typically required. Strong problem-solving, critical thinking, and effective collaboration skills help distinguish top performers in this field. These competencies are essential for analyzing complex biological data, developing innovative solutions, and advancing research in genomics and related areas.
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What cities are hiring for Computational Biology Scientist jobs?

Cities with the most Computational Biology Scientist job openings:

What states have the most Computational Biology Scientist jobs?

States with the most job openings for Computational Biology Scientist jobs include:

Infographic showing various Computational Biology Scientist job openings in the United States as of August 2026, with employment types broken down into 62% Full Time, 35% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Scientist - Computational Biology

On-site, Remote

Full-time

Posted 3 days ago

New


Job description

Duties: As an active team member of the Computational Innovation department, the successful candidate will contribute to oncology drug discovery research through in silico data driven approaches. You will leverage multi-modal omics data analysis and collaborate with biologists to solve scientific challenges to advance drug discovery programs. This opportunity can be remote. Duties and responsibilities: • Support Oncology drug development efforts • Identify, learn and apply emerging technologies in data science and its applications to Client cancer therapeutics discovery and development. • Apply and develop innovative analysis approaches when standard methods are not adequate • Identify and process publicly available and internally generated datasets using statistical and bioinformatics techniques to create meaningful biological insights • Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field • Interpret, report, and present analysis results, with a high level of integrity and ethics, to biologists and collaborators. • Ensure FAIR data analysis with clear documentation and reproducibility Skills: Skills: • Programming experience with Python and R for bioinformatic data analysis in unix-like systems. • Proficiency in working with bulk and single cell NGS data • Experience with any of these topics is a plus: oncology or immunology knowledge, spatial transcriptomics, methylation, or liquid biopsy data analysis, public oncology database datasets (TCGA, GTEX, Human cell atlas, CZ CELLxGene Client, Human tumor atlas network, etc) • Proficiency in working with high performance computing clusters (HPC) • Proficiency in biological pathway analysis Education: PhD degree from an accredited institution with experience in computational sciences or a related scientific discipline (e.g., Computer sciences, Computational Biology, Genomics, Biostatistics, Bioinformatics and Biological Sciences) Salary: . Date posted: 08/29/2026