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Remote Computational Biologist Jobs in California

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199K - $283K/yr

... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological problems (including cancer research, genomics, computational biology, immunology, etc.). * Build new ...

Chemify Ltd

Staff CADD Scientist

San Francisco, CA · On-site +1

San Francisco (hybrid) or fully remote from Boston / San Diego Travel: Regular travel to our ... PhD (or equivalent experience) in Computational Chemistry, Structural Biology, Biophysics, Physics ...

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$47.9K

$92.8K

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How much do remote computational biologist jobs pay per year?

As of Aug 1, 2026, the average yearly pay for remote computational biologist in California is $92,757.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,600.00 and $115,500.00 per year, depending on experience, location, and employer.

What does a typical day look like for a Remote Computational Biologist?

A typical day for a Remote Computational Biologist involves analyzing large-scale biological datasets, writing and debugging code, and interpreting results to support scientific projects or research goals. You'll often collaborate with wet lab scientists, bioinformatics specialists, and project managers through virtual meetings, sharing insights and integrating diverse types of data. Tasks can also include developing or optimizing analysis pipelines and preparing reports or visualizations for team discussions or publications. Flexibility in managing your workflow and strong digital communication skills are important, as you will coordinate with team members across different time zones and locations. This variety of activities ensures continual learning and exposure to cutting-edge research in the life sciences.

What are the key skills and qualifications needed to thrive in the Remote Computational Biologist position, and why are they important?

To thrive as a Remote Computational Biologist, you need a solid background in biology, statistics, and computer science, often supported by a relevant degree (such as bioinformatics or computational biology) and experience with biological data analysis. Proficiency with programming languages like Python or R, familiarity with bioinformatics tools and databases, and knowledge of cloud computing platforms are typically required; advanced degrees or certifications can be advantageous. Strong problem-solving skills, effective written and verbal communication, and the ability to collaborate virtually are valuable soft skills in this remote role. These strengths are critical for accurately interpreting complex data sets, working productively in distributed research teams, and driving impactful scientific discoveries.

What is a Remote Computational Biologist job?

A Remote Computational Biologist analyzes biological data using computational techniques, such as machine learning, bioinformatics, and statistical modeling, while working from a remote location. They often collaborate with researchers, biologists, and data scientists to study genomics, drug discovery, disease modeling, or evolutionary biology. Typical responsibilities include writing algorithms, processing large datasets, and interpreting biological patterns. This role requires expertise in programming languages like Python or R and knowledge of bioinformatics tools. Remote work allows flexibility in contributing to research projects for academic institutions, biotech companies, or pharmaceutical firms.

What are the most commonly searched types of Computational Biologist jobs in California? The most popular types of Computational Biologist jobs in California are:
What are popular job titles related to Remote Computational Biologist jobs in California? For Remote Computational Biologist jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Computational Biologist jobs in California look for? The top searched job categories for Remote Computational Biologist jobs in California are:
What cities in California are hiring for Remote Computational Biologist jobs? Cities in California with the most Remote Computational Biologist job openings:
Remote Computational Biologist jobs near you
Infographic showing various Remote Computational Biologist job openings in California as of July 2026, with employment types broken down into 19% Locum Tenens, 2% Internship, 65% Full Time, 10% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $92,757 per year, or $44.6 per hour.

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$30 - $34/hr

Full-time

Re-posted 19 days ago

Job description

Pay Rate Low: 30 | Pay Rate High: 34
A leading biotechnology research organization is seeking a Junior Computational Biologist to support efforts in refining how cellular states are quantified and validated!
Title: Jr. Computational Biologist (Remote Contract)
Location: Remote (Must be available during PST business hours)
Compensation: $30-34/hour + benefits
Contract Duration: 6-12+ months
Job Duties:
This project will focus on benchmarking functional scoring methodologies and improving interpretability of high-dimensional transcriptomic datasets.
The selected candidate will contribute to distinguishing true biological signal from technical variation in large-scale single-cell atlases, directly enhancing the reliability of automated cell-state classification frameworks.
Start Date: July 1, 2026
  • Duration: Through December 18, 2026
  • Commitment: Full-time (100%)
  • Ideal Candidate: Upcoming June 2026 PhD graduate or recent PhD graduate
  • Location: Onsite in South San Francisco, CA preferred; remote within the U.S. considered (must work PST hours)
  • Visa Sponsorship: Not availabl

Key Responsibilities
  • Systematically evaluate and benchmark computational approaches for quantifying phenotype activation across single-cell transcriptomic datasets.
  • Establish rigorous statistical baselines and negative-control frameworks to improve the robustness of automated cell-state classification methods.
  • Develop or refine computational methods to address limitations in current approaches.
  • Design strategies to distinguish genuine biological signatures from stochastic or technical noise.
  • Present findings in internal scientific reviews and contribute to potential conference abstracts or peer-reviewed publications.

Required Qualifications
  • Extensive hands-on experience in single-cell data analysis using Scanpy, AnnData, and Pandas.
  • Strong proficiency implementing statistical and machine learning models using scikit-learn and SciPy.
  • Demonstrated commitment to reproducible research practices and well-organized code.
  • Ability to clearly communicate complex computational concepts to interdisciplinary scientific teams.
  • Master's degree with ongoing PhD pursuit, or recent PhD graduate, in Computational Biology, Computer Science, Machine Learning, or related quantitative discipline.
  • Interest in drug discovery and comfort working in dynamic, research-driven environments.

Preferred Qualifications
  • Background knowledge in cell biology and/or immunology.
  • Experience with hypothesis testing, noise modeling, and benchmarking computational tools.
  • Familiarity with Explainable AI (XAI) approaches or large-scale biological datasets.
  • Demonstrated ability to build or extend novel bioinformatics pipelines.
    INDBH
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