Top 45 Computational biologist Jobs in San Francisco, Ca

Quantitative Biologist
Arcadia Science —Emeryville, CA
- $150,000 - $200,000 a year
- Full-time
- Background check
- 3 years
- Analysis skills
Staff Scientist, Bioinformatics
Thermo Fisher Scientific —South San Francisco, CA
- $129,400 - $165,000 a year
- Full-time
- Background check
- 6 years
- Office
- Commuter assistance
- Paid parental leave
10d
Associate Director - Computational Biology (Cardiovascular, Metabolic, Obesity and Related)
Amgen —San Francisco, CA
- $190,252.10 - $257,399.90 a year
- Computer science
- Computer Science
- Master's degree
- Disability insurance
- Health insurance
Computational Scientist 3 - Cell & Tissue Genomics
Genentech —San Francisco, CA
- $124,300 - $265,900 a year
- Online Application
- Computer Science
- Analysis skills
- Doctor of Philosophy
Senior Scientist, Computational Biology (Multimodal Data Integration)
Genentech —San Francisco, CA
- $130,800 - $242,800 a year
- Online Application
- Doctor of Philosophy
- Senior level
- Python
Research Scientist, Life Sciences
Anthropic —San Francisco, CA
- $300,000 - $320,000 a year
- Hybrid work
- 5 years
- Office
- Bachelor's degree
- Parental leave
- Flexible schedule
14d
Member of Technical Staff - Computational Biology
Phylo, Inc. —South San Francisco, CA
- $200,000 - $300,000 a year
- Full-time
- Databases
- Machine learning
- Doctor of Philosophy
- Health insurance
- Dental insurance
Quick Apply
Senior Bioinformatician
Vivodyne —San Francisco, CA
- $214,400 - $245,000 a year
- Full-time
- AWS
- Analysis skills
- Doctor of Philosophy
Chen Lab - Research Specialist (Biological and Medical Informatics)
UC San Francisco Academic —San Francisco, CA
- $55,000 - $194,800 a year
- Online Application
- Computer science
- Doctoral degree
- Computer Science
Postdoctoral Fellow - Computational Biology & Medicine - Jhunjhunwala Lab
Genentech —San Francisco, CA
- $110,000 - $120,000 a year
- Temporary
- Doctor of Philosophy
- Senior level
- AI
Assistant/Associate/Full Project Scientist - Machine Learning & Data Analytics Advanced Bioimaging Center Department of Molecular and Cell Biology
University of California Berkeley —Berkeley, CA
- $181,700 - $229,700 a year
- Online Application
- Azure
- Computer Science
- Mid-level
8d
Senior Scientist - Computational Protein Design
Amgen —South San Francisco, CA
- $146,404 - $198,076 a year
- Medicine
- Computer Science
- 3 years
- Disability insurance
- Health insurance
Senior Scientist - Computational Discovery & Translational Analytics
Amgen —San Francisco, CA
- $146,404 - $198,076 a year
- Computer Science
- 3 years
- Master's degree
- Disability insurance
- Health insurance
Computational Biologist II, CellxState
Biohub —San Francisco, CA
- $153,000 - $210,100 a year
- Hybrid work
- Computer science
- Computer Science
- System design
- Paid time off
- 401(k) matching
Quick Apply
Staff Bioinformatics Scientist, Oncology Applications
Ultima Genomics —San Francisco, CA
- $135,000 - $170,000 a year
- Full-time
- Remote
- Computer Science
- 8 years
- AWS
- Health savings account
- Paid holidays
Quick Apply
Scientist III, Bioinformatics
Thermo Fisher Scientific —South San Francisco, CA
- $95,900 - $127,800 a year
- Full-time
- Background check
- Computer Science
- Pass drug screening
- Commuter assistance
- Paid parental leave
(Senior) ML Scientist
insitro —South San Francisco, CA
- $183,000 - $238,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Office
- Paid parental leave
- Health insurance
Junior Specialist - Berendzen Lab
UC San Francisco Academic —San Francisco, CA
- $55,000 - $58,600 a year
- Online Application
- University
- Bachelor's degree
- Neurology
Platform Scientist: Comparative Protein Evolution
Arcadia Science —Emeryville, CA
- $130,000 - $180,000 a year
- Full-time
- Background check
- Software troubleshooting
- Office
Scientist 3 - CVRM Discovery Biology
Genentech —San Francisco, CA
- $103,400 - $192,000 a year
- Online Application
- Master's degree
- Bachelor's degree
- Doctor of Philosophy
7d

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Quantitative Biologist

Arcadia Science
Emeryville, CA

Apply Now

Job Details

Full-time
$150,000 - $200,000 a year

Qualifications

AI models
Research design
Technical writing for researchers
Laboratory experiment design
Software engineering
Computational research
Software design
Design of experiments
Scientific research papers
Collaborative research
Machine intelligence
Open source contribution
Machine learning (ML) fundamentals
Data analysis software
Providing code feedback

Full Job Description

A Bit About Us

We are Arcadia Science, an evolutionary biology company founded and led by scientists. Our mission is to turn natural innovations into real-world solutions by developing systematic and quantitative approaches to leveraging biology for therapeutics R&D. We share our research as openly as possible to accelerate discovery and make our work broadly useful.

The Opportunity

We're closing the gap between biological data and biological understanding. Our Validation team does this by closing the design–build–test–learn loop through lab validation across diverse organisms. Read more about our work through our publications.

We are seeking a Quantitative Biologist to join our Validation team with strong expertise in using computational analyses across modalities and biological scales to extract meaning from complex data, identifying the limits of existing analytical approaches, and developing new ones to address them. In this role, you will work shoulder-to-shoulder with experimental biologists, and bring your own firsthand experience at the bench to inform how data is collected, analyzed, and interpreted. You’ll work with imaging modalities (Raman spectroscopy, coherent Raman imaging, live-cell microscopy, quantitative phase imaging) and a range of other quantitative measurements across diverse organisms. Your contributions will be instrumental in validating existing tools at Arcadia, shaping how we design and interpret experiments, identifying potential assets, and building robust analytical infrastructure that scales across the team.

Top candidates are rigorous, collaborative scientists who are equally at home writing computational pipelines and sitting down with a wet-lab colleague to think through a statistical analysis. They have strong intuitions about image data, high expectations for rigorous experimental design, and the communication skills to make quantitative reasoning accessible to scientists with diverse backgrounds. They have hands-on bench experience, generating biological data themselves and understanding the experimental realities that shape what analysis is even possible. Enthusiasm and independent documentation for participation in open science is also required as we routinely share our findings via our open-source pubs.

Key Responsibilities

Design and implement software for signal processing, image analysis, and quantitative interpretation of experimental data
Develop and maintain scalable workflows and pipelines that apply these methods to high-dimensional phenotypic data across diverse data types
Collaborate with experimental biologists to design statistically sound experiments before data is collected
Build and apply statistical and machine learning models to interpret complex biological datasets, including mixed-effects models, dimensionality reduction, and other approaches
Review and improve code written by scientists across the team, promoting reproducible and well-documented analytical practices
Develop SOPs and shared infrastructure (pipelines, notebooks, documentation) that help the broader team work more quantitatively and independently over time
Synthesize ideas, data, and findings into fully open-access pubs and engage with the scientific community to maximize impact and garner feedback that improves the work

Qualifications

Ph.D. or equivalent experience in biology, bioengineering, computational biology, biophysics, cell biology, or a related field
At least 3 years of full-time relevant scientific experience post-PhD or equivalent
Strong foundation in statistically driven experimental design with hands-on experience applying these to biological datasets
Track record of working directly with experimental scientists to design, analyze, and interpret studies
Demonstrated expertise developing software for biological image analysis
Experience with statistical or machine learning methods applied to phenotypic biological data, including spectral or image data
Proficiency in Python and/or R for data analysis, pipeline development, and code review
Experience with instrument control, data acquisition software, or pipelines connecting hardware to analysis
Direct bench experience generating biological data, with a working understanding of common sources of experimental variability and how they manifest in downstream analysis
Excellent verbal and written science communication skills for both general and technical audiences, as we expect all scientists to actively draft and openly publish their results

Successful applicants can expect to be compensated between $150,000–$200,000 with benefits and a competitive equity offering, depending on experience level. The position will require the individual to be on-site at our Emeryville, California headquarters.

Arcadia is an equal opportunity workplace; we welcome people from all backgrounds and communities. We provide competitive compensation and practical benefits to keep you happy and healthy so that you can do your best work.

Please note that an offer of employment at Arcadia is contingent upon the successful clearance of a reference and background check.

Apply Now

Refine Your Search

computational biologist jobs in san francisco, ca

Quantitative Biologist

Staff Scientist, Bioinformatics

Associate Director - Computational Biology (Cardiovascular, Metabolic, Obesity and Related)

Computational Scientist 3 - Cell & Tissue Genomics

Senior Scientist, Computational Biology (Multimodal Data Integration)

Research Scientist, Life Sciences

Member of Technical Staff - Computational Biology

Senior Bioinformatician

Chen Lab - Research Specialist (Biological and Medical Informatics)

Postdoctoral Fellow - Computational Biology & Medicine - Jhunjhunwala Lab

Assistant/Associate/Full Project Scientist - Machine Learning & Data Analytics Advanced Bioimaging Center Department of Molecular and Cell Biology

Senior Scientist - Computational Protein Design

Senior Scientist - Computational Discovery & Translational Analytics

Computational Biologist II, CellxState

Staff Bioinformatics Scientist, Oncology Applications

Scientist III, Bioinformatics

(Senior) ML Scientist

Junior Specialist - Berendzen Lab

Platform Scientist: Comparative Protein Evolution

Scientist 3 - CVRM Discovery Biology

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