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Remote Biology Jobs in California (NOW HIRING)

Keish Environmental PC

$38 - $50/hr

This position is an On Call, REMOTE position. The employee will be required to travel to project ... S. in Ecology, Biology, Natural Resources, or related field * 5+ years of field monitoring ...

Keish Environmental PC

$38 - $50/hr

This position is an On Call, REMOTE position. The employee will be required to travel to project ... S. in Ecology, Biology, Natural Resources, or related field * 5+ years of field monitoring ...

BKF

Regional Biology Lead

Redwood City, CA · On-site +1

$153K - $187K/yr

BKF is hiring a Bay Area Regional Biology Lead to support our growing biological resources and ... The position is compatible with remote work, but a physical presence in the Bay Area is required.

BKF

Regional Biology Lead

San Jose, CA · On-site +1

$153K - $187K/yr

BKF is hiring a Bay Area Regional Biology Lead to support our growing biological resources and ... The position is compatible with remote work, but a physical presence in the Bay Area is required.

BKF

Regional Biology Lead

Walnut Creek, CA · On-site +1

$153K - $187K/yr

BKF is hiring a Bay Area Regional Biology Lead to support our growing biological resources and ... The position is compatible with remote work, but a physical presence in the Bay Area is required.

BKF

Regional Biology Lead

Oakland, CA · On-site +1

$153K - $187K/yr

BKF is hiring a Bay Area Regional Biology Lead to support our growing biological resources and ... The position is compatible with remote work, but a physical presence in the Bay Area is required.

BKF

Regional Biology Lead

San Francisco, CA · On-site +1

$153K - $187K/yr

BKF is hiring a Bay Area Regional Biology Lead to support our growing biological resources and ... The position is compatible with remote work, but a physical presence in the Bay Area is required.

BKF

Regional Biology Lead

Sacramento, CA · On-site +1

$153K - $187K/yr

BKF is hiring a Bay Area Regional Biology Lead to support our growing biological resources and ... The position is compatible with remote work, but a physical presence in the Bay Area is required.

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Showing results 1-20

All JobsBiology JobsRemote Biology JobsRemote Biology Jobs in California

Remote Biology information

See California salary details

$24K

$81.5K

$164K

How much do remote biology jobs pay per year?

As of Aug 29, 2026, the average yearly pay for remote biology in California is $81,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,003.00 and $106,735.00 per year, depending on experience, location, and employer.

What is a remote biology?

A Remote Biology job involves conducting biological research, data analysis, or consulting from a remote location instead of a traditional lab or office. These roles may include analyzing ecological data, writing reports, managing digital databases, or teaching biology online. Remote biologists often work for universities, environmental agencies, biotech companies, or government organizations. Strong communication skills, proficiency in data analysis software, and self-motivation are essential for success in this field.

What are the typical daily responsibilities for a remote biology professional?

As a Remote Biology professional, your daily tasks may include analyzing experimental data, conducting literature reviews, writing research reports, and participating in virtual team meetings. Depending on your employer, you may also design experiments, manage digital laboratory records, or collaborate with remote colleagues on ongoing research projects. Effective communication through email, video conferencing, and project management tools is essential to stay aligned with team objectives. This routine allows for productive scientific research and fosters successful collaboration, even from a distance.

What are the key skills and qualifications needed to thrive in the remote biology position, and why are they important?

To succeed in a Remote Biology position, you typically need a degree in biology or a related field, strong data analysis skills, and experience with scientific research methods. Familiarity with software such as R, Python, or specialized bioinformatics tools, as well as experience with virtual collaboration platforms, is often required. Excellent written communication, self-motivation, and time management set standout candidates apart when working remotely. These attributes are crucial for conducting research effectively, collaborating across distances, and delivering results without direct supervision.

What are the most commonly searched types of Biology jobs in California?

The most popular types of Biology jobs in California are:

What are popular job titles related to Remote Biology jobs in California?

For Remote Biology jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Biology jobs in California look for?

The top searched job categories for Remote Biology jobs in California are:

What cities in California are hiring for Remote Biology jobs?

Cities in California with the most Remote Biology job openings:

Remote Biology jobs near you
Infographic showing various Remote Biology job openings in California as of August 2026, with employment types broken down into 56% Full Time, 35% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $81,457 per year, or $39.2 per hour.

Junior Computational Biologist (Remote)

South San Francisco, CA • On-site, Remote

Astrix Inc
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Astrix Incexternal

$30 - $34/hr

Full-time

Re-posted 18 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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