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Computational Biologist Jobs (NOW HIRING)

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 ...

The University of Chicago

Computational Biologist

Chicago, IL · On-site

$60K - $80K/yr

  • Medical

  • Retirement

  • PTO

The Computational Biologist will contribute to the development and application of statistical and computational tools across NIH-funded projects, integrating large-scale GWAS with metabolomics data ...

Battelle Memorial Institute

Computational Biologist

Columbus, OH · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Cherokee Federal

Computational Biologist Genomics

Frederick, MD · On-site

$75K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Computational Biologist I ***This position requires an active Secret clearance or the ability to obtain a Secret clearance to be considered. *** As required by our governmental client, this position ...

Battelle

Computational Biologist

Columbus, OH · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

micro1 AI

Computational Biologist - AI Reviewer

Tyler, TX · On-site +1

$90 - $120/hr

Computational Biology Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project.

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How much do computational biologist jobs pay per year?

As of Aug 13, 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 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 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
Infographic showing various Computational Biologist job openings in the United States as of August 2026, with employment types broken down into 4% Internship, 61% Full Time, 33% Part Time, and 2% Contract. Highlights an 62% Physical, 2% Hybrid, and 36% Remote job distribution, with an average salary of $93,988 per year, or $45.2 per hour.

Computational Biologist

Verge Genomics

San Francisco, CA • On-site, Remote

Full-time

Re-posted 11 days ago

Job description

Who We Are
Verge is transforming drug discovery by using artificial intelligence and proprietary human data to solve the biggest driver of rising drug costs: high clinical failure rates. To achieve this, we have built one of the field's largest corpuses of multi-modal patient molecular and clinical data, sourced directly from human tissue. Our team of engineers, neuroscientists, and biologists have so far delivered two drugs to clinic, discovered 282 new targets, and signed commercial partnerships worth in excess of $1.6B with Eli Lily and AstraZeneca.
Your Mission
Reporting to the Head of Product & Engineering, and working alongside Verge's platform and computational biology teams, the Computational Biologist (AI/ML) will be responsible for defining and enabling new product offerings leveraging Verge's drug discovery engine for internal stakeholders, external partners (across both pharma and AI), and customers.
Your 12 Month Outcomes
  • Work with Verge's AI partners to deliver a best-in-class biology foundation model with Verge's proprietary datasets
  • Develop a novel approach that enables a powerful new product offering (patient stratification, biomarker discovery, etc.)
  • Deliver at least two CONVERGE-powered insights projects to pharma/biotech companies
  • Build an internal agentic AI workflow that supports multi-modal biomedical reasoning and orchestration

You Will
  • Develop and evaluate cutting-edge computational methodologies integrating multi-omic datasets to develop predictive models for translational biology,
  • Lead high-impact projects that apply and adapt AI models to translational challenges in disease biology, biomarker discovery, and target exploration,
  • Lead partnerships with AI companies to co-develop next-generation foundation models for drug discovery
  • Frame biological problems in computational terms and design solutions that are biologically meaningful, interpretable, and experimentally testable,
  • Design and implement evaluation methodologies for assessing AI model capabilities relevant to biological research and applications,
  • Translate between biological domain knowledge and machine learning objectives.

Requirements
Candidates must have:
  • Either:
    • PhD in computational biology, AI/ML, applied statistics, biophysics, or,
    • MS and professional experience in relevant fields.
  • ≥5 years of experience working in applied computational biology and integration of multi-omic datasets (RNA-seq, genotyping, clinical), with ≥2 years in a startup environment,
  • ≥2 years of experience in relevant areas of translational science, demonstrating a deep understanding of target identification, biomarker discovery, and/or patient stratification,
  • Proven ability to implement, evaluate, and/or create computational methodologies that leverage machine learning, statistics, and AI for biological research and discovery,
  • Fluency with state of the art in systems biology workflows, including off-the-shelf biological databases and computational biology tools,
  • Track record of bridging biological domain knowledge with computational approaches to solve real scientific problems
  • Track record of individual innovation, with published research or shipped work influencing pharma R&D decisions
  • Experience running a significant number of end-to-end RNA-Seq data analyses (from QC, read quantification, normalization through to interpretation),
  • Excellent coding skills in Python, with experience in relevant ML/AI libraries (e.g., PyTorch, HuggingFace, scikit-learn, pandas, numpy). A demonstrable portfolio (e.g., GitHub, research code, or shared notebooks) is highly preferred,
  • Experience in building and evaluating machine learning models on biological data, ideally with transformer-based models (e.g., scGPT, Geneformer, ESM, ProtBERT), with a deep understanding of feature selection, model interpretability,
  • Professional experience with AI workflows, including natural language processing (NLP), retrieval-augmented generation (RAG), embeddings, vectorization of diverse data types, and working with large language models (e.g., GPT),
  • Demonstrated experience with model evaluation and experimental design in a scientific context, including setting up appropriate benchmarks and controls.

Finally, we seek candidates who embrace our values and way of working:
  • Ability to thrive in uncertainty with frequently changing priorities
  • Deep alignment with our values
  • A passion for making an impact on patients

Apply