Bioinformatics Jobs in San Francisco

Where Tech Meets Biology - South San Francisco to Berkeley

47 open positions 9 companies hiring $165K avg salary

Why Work in San Francisco?

The San Francisco Bay Area offers a unique blend of Silicon Valley tech culture and cutting-edge biotechnology. With major hubs in South San Francisco (biotech row), Emeryville, and Berkeley, the region is home to Genentech, UCSF, Berkeley, and hundreds of startups. The area excels in applying machine learning and AI to biological problems, making it ideal for computationally-minded scientists. Compensation packages often include significant equity, especially at startups.

Market Overview

  • Genentech (Roche) headquarters and massive bioinformatics team
  • Strong AI/ML in biology focus - ideal for computational scientists
  • UCSF and Berkeley provide world-class academic opportunities
  • South San Francisco 'biotech row' with 100+ companies
  • Tech-focused culture with generous equity compensation
  • Easy access to venture capital and startup funding
  • Growing computational pathology and precision medicine sectors

Top Biotech Companies in San Francisco

The San Francisco biotech ecosystem includes major companies like Genentech, Anthropic, Amgen, Veracyte, Formation Bio, and many emerging startups. Browse all companies →

Cost of Living

The Bay Area has the highest cost of living in the U.S., with median rent for a 1-bedroom apartment at $3,000-3,800/month in San Francisco proper, and $2,400-3,200 in South SF, Oakland, or Berkeley. Many bioinformatics professionals live in East Bay (Berkeley, Oakland) for affordability while commuting to South SF. Salaries are very high to compensate, and equity at startups can be life-changing.

Salary Ranges

See our Bioinformatics Salary Guide for detailed compensation data across all locations.

Bioinformatics Scientist I

$110K - $145K

Median: $127K

Bioinformatics Scientist II

$140K - $180K

Median: $160K

Senior Bioinformatics Scientist

$175K - $230K

Median: $202K

Principal Bioinformatics Scientist

$210K - $280K

Median: $245K

Computational Biologist

$130K - $170K

Median: $150K

Machine Learning Scientist (Biology)

$160K - $220K

Median: $190K

Bioinformatics Engineer

$145K - $195K

Median: $170K

47 Bioinformatics Jobs in San Francisco

Senior Machine Learning Engineer, AI Enablement

Genentech 💰 $148K-$274K
full-time 📅 Today
View Job

Scientist 3, Immunology

Genentech 💰 $103K-$192K
full-time 📅 Today
View Job

Principal Scientist, Bioinformatics Human Genetics

Genentech 💰 $151K-$280K
full-time 📅 4d ago
View Job

Portfolio Analytics Principal

Genentech 💰 $166K-$308K
full-time 📅 4d ago
View Job

Anthropic STEM Fellow

Anthropic
Contract 📅 6d ago
View Job

Senior Principal Scientist, Peptide Therapeutics

Genentech 💰 $169K-$313K
full-time 📅 6d ago
View Job

Executive Director, Field Analytics & Insights

Genentech 💰 $228K-$423K
full-time 📅 6d ago
View Job

Principal Scientist- Toxicologist (Translational Safety)

Genentech 💰 $142K-$263K
full-time 📅 6d ago
View Job

Scientist 3, Immunology Discovery

Genentech 💰 $103K-$192K
full-time 📅 7d ago
View Job

Principal Scientist, Medicinal Chemistry

Genentech 💰 $144K-$269K
full-time 📅 7d ago
View Job

AI & Insights - Sr. Manager

Genentech 💰 $133K-$299K
full-time 📅 1w ago
View Job

Director, Generative AI Foundation

Genentech 💰 $215K-$398K
full-time 📅 1w ago
View Job

Sr. Bioinformatics Scientist

Veracyte 💰 $175K-$190K
Full-time 📅 1w ago
View Job

Associate Director, Bioinformatics Development

Veracyte 💰 $192K-$231K
Hybrid Full-time 📅 1w ago
View Job

Senior/Principal AI/ML Computational Scientist

Genentech 💰 $156K-$290K
full-time 📅 2w ago
View Job

Computational Scientist 3 - Cell & Tissue Genomics

Genentech 💰 $124K-$231K
full-time 📅 2w ago
View Job

Senior Director, Biostatistics

Formation Bio 💰 $311K-$385K
Hybrid Full-time 📅 2w ago
View Job

Senior Manager, Statistical Programming

Kardigan 💰 $172K-$234K
Hybrid Full-time 📅 2w ago
View Job

Executive Director, Head of Clinical Data Analytics

Kardigan 💰 $260K-$338K
Hybrid Full-time 📅 2w ago
View Job

Associate Director, Biostatistics

Kardigan 💰 $174K-$244K
Hybrid Full-time 📅 2w ago
View Job

Principal Machine Learning Engineer

Genentech 💰 $231K-$430K
full-time 📅 2w ago
View Job

Data Scientist Director

Genentech 💰 $221K-$411K
full-time 📅 2w ago
View Job

Director, Discovery Bioinformatics Oncology

Eli Lilly and Company
full-time 📅 3w ago
View Job

Data Scientist, Computational Toxicology

Genentech 💰 $156K-$290K
full-time 📅 3w ago
View Job

Scientist 3, Genomic Technology, Oncology

Genentech 💰 $103K-$192K
full-time 📅 3w ago
View Job

Senior Data Scientist

Genentech
full-time 📅 3w ago
View Job

Senior Biostatistician

Genentech 💰 $137K-$254K
full-time 📅 3w ago
View Job

Biostatistics Oncology Lead, Early Development

Genentech 💰 $207K-$385K
full-time 📅 4w ago
View Job

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Frequently Asked Questions

How does the Bay Area compare to Boston for bioinformatics?

The Bay Area offers higher base salaries and significant equity opportunities, especially at startups. It excels in AI/ML applications to biology and computational approaches. Boston has more traditional academic/pharma roles. Bay Area culture is more tech-focused, while Boston is more research-oriented. Both are top-tier markets.

What companies should I target in the Bay Area?

Top targets include Genentech/Roche (largest team), 10x Genomics, Invitae, Color Genomics, Natera, Tempus AI, GRAIL, Pacific Biosciences, and hundreds of AI-in-bio startups. UCSF and Berkeley offer academic positions. South SF biotech row has 100+ companies hiring.

Is equity compensation significant in Bay Area biotech?

Yes, especially at startups. Offers often include 0.1-1% equity for senior roles, which can be worth millions if the company succeeds. Even established companies like 10x Genomics offer RSUs. This is a key differentiator from Boston's more salary-focused compensation.

What's the commute like for bioinformatics jobs?

Most biotech companies are in South San Francisco, easily accessible via BART and Caltrain from SF, Oakland, and Berkeley. Traffic can be heavy for car commutes. Many companies offer shuttle services. Remote/hybrid work is common post-COVID, more so than Boston.

Is the Bay Area better for AI/ML in biology?

Absolutely. The Bay Area leads in applying deep learning, computer vision, and AI to biological problems. Companies like Insitro, Recursion Pharmaceuticals, and Freenome are headquartered here. The proximity to AI talent from Google, Meta, and OpenAI creates unique cross-pollination.

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