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Remote Computational Biology Jobs (NOW HIRING)

Ionis

Director, Computational Biology

Carlsbad, CA · On-site +1

We continue to invest time, money and energy into making our onsite, hybrid and remote work ... DIRECTOR, COMPUTATIONAL BIOLOGY SUMMARY: We are seeking an exceptional computational biologist to ...

Valo Health

Staff Computational Biologist

Lexington, MA · On-site +1

$195.59K - $230.10K/yr

Your day to day includes working with biology data scientists to harden their notebooks and ... Familiarity with the drug discovery and development process is a plus Remote Salary Range $165,750 ...

Altos Labs

$29 - $36/hr

Senior Project Manager, Computational Biology & AI/ML (Contract-12 Months-Remote) Cambridge, UK Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse ...

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How much do remote computational biology jobs pay per year?

As of May 28, 2026, the average yearly pay for remote computational biology 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 the key skills and qualifications needed to thrive as a Remote Computational Biologist, and why are they important?

To thrive as a Remote Computational Biologist, you need a solid background in biology, statistics, and computer science, typically supported by an advanced degree in a related field. Proficiency in programming languages such as Python or R, experience with bioinformatics tools, and familiarity with data analysis platforms like Linux or cloud computing systems are essential. Strong problem-solving skills, self-motivation, and effective written communication are crucial for collaborating remotely and interpreting complex biological data. These skills enable accurate data analysis, effective remote teamwork, and meaningful scientific insights in computational biology projects.

What are some common challenges faced by remote computational biologists, and how can they be overcome?

Remote computational biologists often face challenges related to communication and collaboration, especially when coordinating with wet-lab teams or cross-functional groups. To overcome these hurdles, it's important to establish clear communication channels, participate in regular virtual meetings, and use collaborative platforms for project management and data sharing. Additionally, staying proactive in seeking feedback and clarifying project goals can help ensure alignment and productivity, even when working from different locations.

What is remote computational biology?

Remote computational biology is a field where scientists use computer-based techniques to analyze and model biological data, such as DNA sequences or protein structures, while working from locations outside of a traditional lab or office setting. This work often involves bioinformatics, data analysis, and simulation using specialized software and large datasets. Remote computational biologists collaborate with research teams online and can contribute to projects in areas like genetics, drug discovery, and systems biology from anywhere in the world. The role typically requires strong programming, statistical, and biological knowledge, as well as effective communication skills for virtual teamwork.
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What cities are hiring for Remote Computational Biology jobs? Cities with the most Remote Computational Biology job openings:
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Remote Computational Biology jobs near you
Infographic showing various Remote Computational Biology job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $93,988 per year, or $45.2 per hour.
Junior Computational Biologist (Remote)

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$30 - $34/hr

Full-time

Posted 14 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.
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