Chan Zuckerberg Biohub
biohub.org
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Nonprofits & Foundations
Research Institutes
AI for Science
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How Chan Zuckerberg Biohub hires
Truth index
A 95/100
Median time to fill
86 days
Ghost roles
0%
Stale roles
0%
Reposted roles
0%
Chan Zuckerberg Biohub scores A on the Alion truth index (A is best, E worst), measured over 12 open roles re-checked against its own hiring board: 0% look like ghost listings, 0% have gone stale and 0% are the same role posted again. Its roles close in a median of 86 days. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
Visa sponsorship
- United States · H-1B filings in 12 months: 13 · green card filings: 1
Overview
Chan Zuckerberg Biohub is a non-profit biomedical research organization headquartered in San Francisco, California, and founded in 2016 by the Chan Zuckerberg Initiative. The organization runs interdisciplinary research programs in imaging, infectious disease, cell biology, and AI driven biology in partnership with Stanford, UC Berkeley, and UC San Francisco. It has grown into a network of institutes with additional sites in Chicago and New York, working toward the stated goal of helping to cure, prevent, or manage all disease by the end of the century.
News
Why one drug isn't enough: AI reveals cancer's secret weapon - and how to beat it
Cancer treatments often show early promise: tumors shrink and symptoms ease. But in many cases, the disease comes roaring back, driven by treatment-resistant cells. Part of what makes cancer so difficult to cure is that cells within a tumor are not cookie
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Protein Modeling, Cell Imaging and Patient-Powered Science: Reflections on Biohub's Start to the Year
A few weeks ago, I joined CNBC's Becky Quick at the Aspen Ideas: Health Festival for a conversation about AI, biology, and the future of medicine. There's one moment on stage I keep coming back to. While discussing progress around genomics and personalize
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From patient communities to precision treatments: harnessing AI-powered biology for rare disease
Approximately 400 million people worldwide live with a rare disease. Of these diseases, fewer than 5% have an approved therapy. Many people with rare diseases carry not only the weight of a devastating diagnosis, but the isolation of navigating a biomedic
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Making the invisible visible
Inside every living cell, tens of thousands of different types of proteins are at work: ferrying molecular cargo, relaying signals, repairing DNA, deciding whether a cell should divide or die. Most of these proteins are too small to image with existing mi
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Biohub releases a world model of protein biology
ESMFold2, ESMC, and ESM Atlas: AI models used for a wide range of scientific applications, including accelerating the design of therapeutic molecules.
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Biology's blind spot
Science has relied on dead tissue for a long, long time. The dominant techniques for measuring proteins and molecules require biological tissue to be frozen, fixed, or otherwise destroyed. Researchers slice, stain, probe, and sequence it to read the resul
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The immune cell engineers
Immune cells already possess remarkable abilities: they circulate throughout the body, home to sites of injury and infection, and distinguish healthy tissue from threats. Now, scientists are engineering those cells to do far more - such as detect disease
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Biohub launches the Virtual Biology Initiative
Biohub commits $500M to the Virtual Biology Initiative, building open, global datasets to power predictive models of the cell.
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New tool reveals how T cell responses evolve across organs
Our immune system relies on T cells to fight infections. Like a sports team, T cells don't just show up and react - they also rely on the lymphoid organs as their home base, where they train, get their game plan, and coordinate their defenses. Researchers
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Tech stack
Technologies named in job postings at Chan Zuckerberg Biohub over the last 12 months, by layer, with the share of postings for each.
Technologies in use
48
Postings analysed
19
Stack modernity
72/100AI adopter
Languages
Python58%
C++11%
Rust11%
Bash5%
Frameworks & libraries
PyTorch11%
JAX5%
NCCL5%
PyTorch C++5%
Cloud & platforms
GitHub11%
AWS5%
CoreWeave5%
Databricks5%
AI & ML
CLIP5%
Claude5%
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Full Chan Zuckerberg Biohub tech stack
48 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$305k
Typical range
$87k – $375k
Open positions
9
5
Jobs
Junior
20%
Middle
40%
Staff
20%
Architect
20%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Junior | 1 | $191k | $191k |
| Middle | 2 | $139k | $87k – $191k |
| Staff | 1 | $295k | $295k |
| Architect | 1 | $305k | $305k |
Highest paying role
Research Engineer, AI
$375k
Normalized to USD per year
All salaries at Chan Zuckerberg Biohub
By role, level and city, against the market · 9 jobs with pay
Growth
Hiring Momentum
71/100
Growing
Open positions
12
2 opened / 8 closed in 30 days
Median time-to-fill
85 days
faster than 16% of the market
ATS activity
Every ~4 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Science & Research
58% ▲
Data Science
17% ▼
AI/ML
8% ▼
Product
8% ▼
Industrial Engineering
8% ▲
Activity Timeline
Added TCP/IP to stack
Sep 2026
Added Linux to stack
Sep 2026
Added Machine Learning to stack
Sep 2026
Added Reward Modeling to stack
Sep 2026
Added Multi-Agent Systems to stack
Sep 2026
Added Interpretability to stack
Sep 2026
Added TensorFlow to stack
Sep 2026
Added Self-Supervised Learning to stack
Sep 2026
Added JAX to stack
Sep 2026
Added CLIP to stack
Sep 2026
Added GitHub to stack
Sep 2026
New location: Chicago
Aug 2026
Offices
Where the company hires and what each office is for
Cities
5
Hiring now
3
Countries
1
Busiest office
Redwood City
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Headquarters
Builds here
Office with open vacancies
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San Francisco
United States
HQ
San Francisco
2 posted in 90 days 10-50 est. staff
Redwood City
United States
Engineering / R&D
Chan Zuckerberg Initiative
5 open roles 4 posted in 90 days 100% engineering 50-200 est. staff $337k Avg Salary
hires for AI/ML, Data Science, Science & Research
New York
United States
Engineering / R&D
CZ Biohub Network
5 open roles 5 posted in 90 days 80% engineering 50-200 est. staff $283k Avg Salary
hires for AI/ML, Science & Research, Industrial Engineering
Chicago
United States
Engineering / R&D
CZ Biohub Chicago, LLC
2 open roles 1 posted in 90 days 100% engineering 10-50 est. staff $87k Avg Salary
hires for Science & Research
Stanford
United States
Regional office
Stanford
Jobs
Apply
≈ $187k – $382k per year (Estimated) • Hybrid • PhD • Redwood City
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$214k – $375k per year • Hybrid • PhD • New York
Reinforcement Learning
AI Agents
Post-training
Pre-training
Interpretability
Multi-Agent Systems
Reward Modeling
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$214k – $375k per year • Hybrid • PhD • Redwood City
Reinforcement Learning
AI Agents
Post-training
Pre-training
Interpretability
Multi-Agent Systems
Reward Modeling
Apply
$214k – $295k per year • Hybrid • PhD • Redwood City
Python
Diffusion Models
Tokenization
Time Series Forecasting
Machine Learning
Apply
$214k – $375k per year • Hybrid • Redwood City
Reinforcement Learning
AI Agents
Post-training
Pre-training
Interpretability
Multi-Agent Systems
Reward Modeling
Apply
$214k – $375k per year • Hybrid • New York
Reinforcement Learning
AI Agents
Post-training
Pre-training
Interpretability
Multi-Agent Systems
Reward Modeling
Apply