Top 45 Computational biologist Jobs in San Francisco Bay Area Ca

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
Genetics Engineer
Confidential Posting —San Francisco, CA
- $110,000 - $150,000 a year
- Full-time
- Mid-level
- 3 years
- Doctor of Philosophy
- Health insurance
- Dental insurance
Quick Apply
Computational Scientist II - 30169_PC
BEPC Inc —South San Francisco, CA
- $60.94 - $62.94 an hour
- 8 hour shift
- Computer Science
- Analysis skills
- Doctor of Philosophy
- Health insurance
- Dental insurance
Quick Apply
3d
Quantitative Biologist
Arcadia Science —Emeryville, CA
- $150,000 - $200,000 a year
- Full-time
- Background check
- 3 years
- Analysis skills
Research Scientist, Life Sciences (Experimental Biology)
Anthropic —San Francisco, CA
- $300,000 - $320,000 a year
- Hybrid work
- Office
- Bachelor's degree
- Doctor of Philosophy
- Parental leave
- Flexible schedule
3d
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
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
14d
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
Junior/Assistant/Associate/Full Specialist Biological Science - Advanced Bioimaging Center Department of Molecular and Cell Biology
University of California Berkeley —Berkeley, CA
- $55,000 - $194,800 a year
- Online Application
- Computer Science
- System design
- Analysis skills
2d
Senior Bioinformatics Scientist
CEDENT —South San Francisco, CA
- 3 years
- Master's degree
- SQL
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
Tabula Bio —San Francisco, CA
- Full-time
- System design
- Analysis skills
- Doctor of Philosophy
Quick Apply
Senior Bioinformatician
Vivodyne —San Francisco, CA
- $214,400 - $245,000 a year
- Full-time
- AWS
- Analysis skills
- Doctor of Philosophy
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
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
11d
Senior Specialist, Data Science
Merck —San Francisco, CA
- $129,000 - $203,100 a year
- Full-time
- Computer Science
- 3 years
- AWS
- Paid holidays
- Health insurance
12d
Scientist, Hematopoiesis (iPSCs)
Retro —Redwood City, CA
- $130,000 - $170,000 a year
- Full-time
- Mid-level
- Master's degree
- Bachelor's degree
- Paid parental leave
- Paid holidays
Quick Apply
Platform Scientist: Comparative Protein Evolution
Arcadia Science —Emeryville, CA
- $130,000 - $180,000 a year
- Full-time
- Background check
- Software troubleshooting
- Office
Junior Specialist - Berendzen Lab
UC San Francisco Academic —San Francisco, CA
- $55,000 - $58,600 a year
- Online Application
- University
- Bachelor's degree
- Neurology

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Computational Biologist II, CellxState

Biohub -
San Francisco, CA

Quick Apply

Job Details

$153,000 - $210,100 a year

Benefits

Paid time off
401(k) matching
Volunteer time off

Qualifications

Data storage
Tooling
Scalability
Metadata
Bioinformatics data analysis
Python

Full Job Description

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.

The Team

Through our multi-dimensional imaging program, we build imaging tools that capture life across scales — from single proteins to whole organisms — revealing how proteins and cells function, communicate, and assemble into living systems. These observations are laying the groundwork for a new generation of AI models that can predict cellular behavior and guide the development of better treatments for widespread diseases. You can learn more about our work here.

Our work brings together three powerhouse universities - Stanford, UC Berkeley, and UC San Francisco - into a single collaborative technology and discovery engine.

Our Vision

Pursue large scientific challenges that cannot be pursued in conventional environments
Enable individual investigators to pursue their riskiest and most innovative ideas
Facilitate research by scientists and clinicians at our home institutions and beyond

We are a team of passionate individuals powered by technology, guided by scientific research, and driven by collaboration, working toward a mission to cure or prevent all disease.

The Opportunity

Part of the Imaging Grand Challenge, The CELLxSTATE Program builds next-generation technologies to decode and control how cells make decisions — combining live-cell imaging, multi-omics, and AI at unprecedented scale. We also create large reference datasets that can be mined and reused by the entire community for discovery, like our OpenCell project that maps protein localization and interactions (https://opencell.czbiohub.org/). Our science is fully open-source and published in journals like Science, Nature Methods, and Cell (https://biohub.org/leonetti/publications/).

At the core of our current efforts is multiDPS (Multimodal Dynamic Pooled Screening), a high-throughput platform that integrates custom microscopy, automation, CRISPR screening and molecular profiling to map and predict dynamic cell states.

We are seeking a Computational Biologist to help lead image analysis for our next-generation Optical Pooled Screening program. This is a great opportunity for candidates with a strong interest in data science, engineering, and cell biology, supported by experts in a highly collaborative and well-funded scientific environment. We embrace team science and our projects bring together biologists, technology developers, engineers, data scientists, and AI/ML experts.

What You'll Do

Design, develop, and maintain scalable image analysis pipelines for large-scale fluorescent microscopy datasets, with an emphasis on image quality robustness and computational efficiency.
Integrate emerging multi-modal data types (e.g., spatial transcriptomics) into unified, AI-ready datasets that support downstream modeling and discovery.
Advance our bio-image analysis capabilities (e.g., segmentation, tracking, image-stitching, and image registration).
Partner closely with biologists and automation engineers to implement end-to-end quality control metrics, ensuring the fidelity of our experimental and computational pipelines.
Architect modular and reusable processing frameworks that can flexibly support multiple experiment types within a shared infrastructure.
Publish and disseminate impactful findings through preprints, papers, and software repositories (e.g., GitHub).

What You'll Bring

PhD in Computational Biology, Biology, or Computer Science, or a MS with relevant job experience.
At least 4 years of experience in Python-based image analysis or scientific computing. Experience with fluorescence microscopy, confocal, or lightsheet is a plus.
Fluency with computational tools and infrastructure such as Python, Github, and Slurm.
Experience with modern biological data formats such as OME-Zarr and AnnData.
Experience designing workflows for large, complex datasets, including scalable storage formats, and reliable metadata and experiment tracking.
A proven track record of individual innovation, together with a strong ability to work collaboratively.
A passion for research and understanding how cells work.
An enthusiasm for team science and open science - this position will be embedded in a large multi-disciplinary team.
Excellent written and oral communication skills.

Compensation

The San Francisco, CA base pay range for a new hire in this role is $153,000 - $210,100. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

This position may be eligible to participate in Biohub's discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with Biohub's total rewards philosophy and may vary by role.

Better Together

As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team's manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.

Benefits for the Whole You

We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.

Provides a generous employer match on employee 401(k) contributions to support planning for the future.
Paid time off to volunteer at an organization of your choice.
Funding for select family-forming benefits.
Relocation support for employees who need assistance moving

If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

#LI-Hybrid

Quick Apply

Refine Your Search

computational biologist jobs in san francisco bay area ca

Computational Biologist II, CellxState

Genetics Engineer

Computational Scientist II - 30169_PC

Quantitative Biologist

Research Scientist, Life Sciences (Experimental Biology)

Research Scientist, Life Sciences

Staff Scientist, Bioinformatics

Staff Bioinformatics Scientist, Oncology Applications

Junior/Assistant/Associate/Full Specialist Biological Science - Advanced Bioimaging Center Department of Molecular and Cell Biology

Senior Bioinformatics Scientist

Senior Scientist, Computational Biology (Multimodal Data Integration)

Research Scientist

Senior Bioinformatician

Scientist III, Bioinformatics

(Senior) ML Scientist

Scientist 3 - CVRM Discovery Biology

Senior Specialist, Data Science

Scientist, Hematopoiesis (iPSCs)

Platform Scientist: Comparative Protein Evolution

Junior Specialist - Berendzen Lab

I want to receive the latest job alert for computational biologist in san francisco bay area ca

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