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Computational Biologist Jobs (NOW HIRING)

Neptune Bio

Computational Biologist

New York, NY

Position Summary We are seeking a Computational Biologist who is passionate about using data-driven, scalable methods to reveal biological insights. The ideal candidate is an independent thinker with ...

Neptune Bio

Computational Biologist

New York, NY · On-site

Position Summary We are seeking a Computational Biologist who is passionate about using data-driven, scalable methods to reveal biological insights. The ideal candidate is an independent thinker with ...

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 ...

NewLimit

Computational Biologist

South San Francisco, CA · On-site

$150K - $200K/yr

Description NewLimit is seeking a Computational Biologist to join our Predict team. In this role, you will develop, improve, and operate bioinformatics pipelines supporting large-scale single-cell ...

NewLimit

Computational Biologist

South San Francisco, CA · On-site

$150K - $200K/yr

Description NewLimit is seeking a Computational Biologist to join our Predict team. In this role, you will develop, improve, and operate bioinformatics pipelines supporting large-scale single-cell ...

Transcripta Bio

Computational Biologist

Palo Alto, CA · On-site

PhD in Bioinformatics, Computational Biology, Genomics, or a related field with 3+ years of relevant experience in industry. * Extensive hands-on experience processing and analyzing bulk and/or ...

Valo Health

Staff Computational Biologist

Lexington, MA · Hybrid

About the Role We are seeking an exceptional Staff Computational Biologist to drive the next generation of software and data products supporting Target Identification and Prioritization across our ...

Dana-Farber Cancer Institute

The Dana-Farber Cancer Institute seeks a Computational Biologist, under the Van Allen lab ( to work as a data scientist on the analysis of new datasets generated in the context of thyroid cancer ...

Valo Health

Staff Computational Biologist

Lexington, MA · On-site +1

$195K - $230K/yr

About the Role We are seeking an exceptional Staff Computational Biologist to drive the next generation of software and data products supporting Target Identification and Prioritization across our ...

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 Jul 3, 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.

Will computational biologists be replaced by AI?

Computational biologists use algorithms, data analysis, and modeling to interpret biological data, and AI tools can assist but are unlikely to fully replace their expertise. Human judgment, domain knowledge, and the ability to design experiments remain essential in the field. AI can enhance productivity but does not eliminate the need for skilled professionals in computational biology.

What jobs can I get with computational biology?

Computational biologists can work in roles such as bioinformatics analyst, research scientist, data scientist, or systems biologist, often in healthcare, pharmaceuticals, or research institutions. These positions typically require skills in programming, data analysis, and biological sciences, and may involve using tools like R, Python, or specialized software for genomic or proteomic data analysis.

How much do computational biologists get paid?

Computational biologists typically earn a median annual salary of around $80,000 to $110,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced professionals or those in senior roles can earn over $130,000. Skills in programming, data analysis, and biological research are highly valued in this field.

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.

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 is a Computational Biologist?

A computational biologist is a scientist who uses computational and statistical methods to analyze biological data, such as genetic sequences and molecular structures. They often work with tools like bioinformatics software and require skills in programming, data analysis, and biology to interpret complex biological information. This role is common in research institutions, biotech companies, and healthcare settings.

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.
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Computational Biologist jobs near you

Computational Biologist

Neptune Bio

New York, NY

Other

Posted yesterday

Job description

Position Summary

We are seeking a Computational Biologist who is passionate about using data-driven, scalable methods to reveal biological insights. The ideal candidate is an independent thinker with strong computational and quantitative skills, and the ability to collaborate closely with both experimental and computational scientists. You will design, implement, and scale computational pipelines for single-cell perturbation datasets, while contributing to model development and experimental design.

This is a unique opportunity to join a dynamic, interdisciplinary environment and help shape Neptune Bio's computational strategy and infrastructure.

Key Responsibilities

  • Develop, innovate, and maintain advanced computational methods to process, analyze, and interpret large-scale single-cell genomics and perturbation datasets.
  • Collaborate with wet-lab and computational teams to integrate data from diverse experimental modalities and guide experimental design.
  • Build, optimize, and scale data analysis pipelines using modern cloud computing environments (e.g., AWS, GCP, Azure).
  • Contribute to Neptune Bio's data infrastructure, ensuring reproducibility, scalability, and efficient access to large datasets.
  • Stay current with advances in computational biology, machine learning, and scalable infrastructure, applying them to ongoing research challenges.
  • Communicate findings clearly through reports, visualizations, and presentations to multidisciplinary audiences.

Qualification and Education Requirements

You must have:

  • Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, OR equivalent experience (e.g., BS/MS with 3 years of relevant experience).
  • Proficiency in Python, R, and Unix/Linux environments
  • Demonstrated experience in single-cell or multi-omics data analysis.
  • Solid understanding of statistics, data modeling, and modern machine learning approaches.
  • Experience deploying and scaling computational pipelines on cloud platforms (AWS, GCP, or similar).
  • Strong communication skills and enthusiasm for working in a collaborative, fast-paced environment.

Additional preferred experience includes:

  • Background in functional genomics, CRISPR screens, or perturb-seq analysis.
  • Experience integrating multi-source data to derive novel and impactful insights.
  • Expertise in data engineering and reproducible research tools (e.g., Docker, Nextflow, Snakemake) as well as familiarity with cloud-native architectures and distributed compute.
  • Strong publication record demonstrating innovation in computational methods or biological data analysis.
  • Experience with deep learning frameworks such as PyTorch or TensorFlow.

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