ZipRecruiter

Log In

3

Entry Level Remote Computational Biologist Jobs in California

LatchBio

AI Biologist - Function

San Francisco, CA · On-site +1

$120K - $180K/yr

Your hands-on expertise in functional biology assays and computational modeling will define how we ... Remote (globally), hybrid, or onsite in SF (onsite preferred) * Work authorization: OPT visa ...

Jj

Comm Ops Data Engineer - Shockwave Medical

Santa Clara, CA · On-site +1

$79K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Engineering Job ... The position is FULLY REMOTE and can sit anywhere in the US . At Johnson & Johnson, we believe ...

Tempus

Data Scientist II, Outcomes Research

Redwood City, CA · On-site +1

$100K - $150K/yr

Demonstrated computational skills using R and SQL, specifically applied to large-scale healthcare ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

All JobsComputational Biologist JobsEntry Level Remote Computational Biologist JobsEntry Level Remote Computational Biologist Jobs in California

Entry Level Remote Computational Biologist information

What are the most commonly searched types of Remote Computational Biologist jobs in California?

The most popular types of Remote Computational Biologist jobs in California are:

What are popular job titles related to Entry Level Remote Computational Biologist jobs in California?

For Entry Level Remote Computational Biologist jobs in California, the most frequently searched job titles are:

What job categories do people searching Entry Level Remote Computational Biologist jobs in California look for?

The top searched job categories for Entry Level Remote Computational Biologist jobs in California are:

What cities in California are hiring for Entry Level Remote Computational Biologist jobs?

Cities in California with the most Entry Level Remote Computational Biologist job openings:

Entry Level Remote Computational Biologist jobs near you
Infographic showing various Entry Level Remote Computational Biologist job openings in California as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 100% Remote job distribution.

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$30 - $34/hr

Full-time

Re-posted 6 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
    #LI-MG1

Apply