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Computational Biologist Jobs (NOW HIRING)

Battelle

Computational Biologist

Columbus, OH · On-site

As a Computational Biologist II (Protein Engineering), you will contribute to cutting edge research by applying computational approaches to protein structure prediction, design, and optimization. You ...

Arcadia Science

Computational Biologist

Emeryville, CA · On-site

$150K - $200K/yr

Improve the effectiveness or scale of computational approaches for analyzing biological data * Develop workflows to evaluate the statistical rigor of bioinformatic pipelines * Act as a bridge between ...

Valius Sciences

Computational Biologist

San Francisco, CA · On-site

$125K - $185K/yr

Computational biologist role We're hiring a computational biologist to analyze our patients' omics data. This role sits at the intersection of cutting-edge science and real-world clinical impact: you ...

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How much do computational biologist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for computational biologist 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?

A computational biologist is a skilled scientist who uses complex computer algorithms to research and analyze biological systems. This highly specialized job entails using computers and advanced data analytics software to research biological topics such as genetic sequencing, cellular growth numbers, and protein sampling. As a computational biologist, your duties are to code computer algorithms and perform bioinformatics research in the lab. You may also work with students by using the data from their bioinformatics research.

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

To thrive as a Computational Biologist, you need a strong background in biology, mathematics, statistics, and computer science, often supported by an advanced degree in a relevant field. Proficiency with programming languages (such as Python or R), bioinformatics tools, and data analysis platforms is essential. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills for this role. These skills are critical for analyzing complex biological data, interpreting results, and collaborating with multidisciplinary teams to advance scientific research.

What are some common interdisciplinary collaborations for a computational biologist, and how do these impact daily work?

Computational Biologists frequently collaborate with laboratory scientists, statisticians, and software engineers to analyze complex biological data. These interdisciplinary interactions mean that communication skills are essential, as you’ll often translate computational findings into actionable insights for experimental teams. Daily responsibilities may include attending joint meetings, discussing data analysis strategies, and integrating feedback from collaborators to refine models. This collaborative environment fosters both scientific discovery and personal growth, offering exposure to diverse perspectives and expertise.
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Computational Biologist jobs near you
Infographic showing various Computational Biologist job openings in the United States as of August 2026, with employment types broken down into 71% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 69% Physical, 2% Hybrid, and 29% Remote job distribution, with an average salary of $93,988 per year, or $45.2 per hour.

Computational Biologist

Medasource

South San Francisco, CA • Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

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Professional Life Sciences Recruiter at Medasource

Computational Biologist

Location: Remote, must be able to work PST

Duration: contract through end of 2025 with probability of extensions

ASAP Start

The Oncology team in the Computational Biology and Translation Pillar of gRED Computational Sciences (gCS) is seeking a talented and highly motivated Computational Scientist (Contract) with a strong analytical background in computational biology and cancer, particularly focusing on data from Breast Cancer patients. The successful candidate will have a proven track record in multi-omics analysis and the application of both standard and advanced computational methods, such as statistical modeling, machine learning, and bioinformatics pipelines, for hypothesis testing and novel insight generation on clinical data.

Responsibilities

  • Collaborate with scientists in Computational Oncology to analyze large-scale bulk RNA and WES clinical datasets to address scientific hypotheses and deliver novel insights.
  • Develop analytical approaches to integrate and interpret these data, delivering insights into disease biology and mechanisms of action to propel our pipeline and clinical research goals.
  • Document code, analysis processes, and findings, including standardization of analytical workflows.

Requirements

  • Extensive experience (6+ years) in large-scale bulk data analysis (RNA, WES), including gold-standard methods and novel, advanced analytical techniques such as:
  • Multivariate statistical analyses
  • Predictive/Prognostic analyses
  • Expertise in any of the following areas: cancer biology, clinical omics data, real-world data, breast cancer.
  • PhD in Computational Biology, Bioinformatics, or a related field.
  • Proficiency in R, Python, and shell scripting.
  • Experience working with Git and high-performance computing.
  • High self-motivation and commitment to delivering high-quality results.
  • Ability to produce high-quality analysis results with minimal supervision, including meeting key deadlines and making sensible independent decisions.
  • Excellent communication skills and experience working as part of a team.
  • Curiosity and desire to learn more about computational biology and Breast Cancer.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Analyst, Research, and Other

Industries

Pharmaceutical Manufacturing and Biotechnology Research

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