Chan Zuckerberg Biohub

Chan Zuckerberg Biohub

Nonprofit research center advancing disease diagnostics

Overview

Chan Zuckerberg Biohub is a nonprofit research center that brings together physicians, scientists, and engineers from Stanford University, the University of California, Berkeley, and the University of California, San Francisco. The organization conducts collaborative, interdisciplinary research to understand the fundamental mechanisms of disease and to develop new technologies that enable actionable diagnostics and effective therapies. Its work happens through cross-institution partnerships among researchers, engineers, and clinicians who work together to translate basic science into practical medical tools. Unlike for-profit biotech companies, CZ Biohub focuses on open collaboration, shared early-stage research, and accelerating scientific discovery across its partner universities. The overarching goal is to advance science that leads to better diagnostic methods and treatment options for patients.

About Chan Zuckerberg Biohub

Simplify's Rating
Why Chan Zuckerberg Biohub is rated
B
Rated B on Competitive Edge
Rated A on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Biotechnology

Healthcare

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

San Francisco, California

Founded

2016

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Simplify's Take

What believers are saying

  • The April 29, 2026 Virtual Biology Initiative commits $500 million to predictive biology.
  • June 2026 ESMFold2 produced lab-validated binders against five cancer and immunology targets.
  • Rare As One opens another funding round in fall 2026 and expands Every Cure.

What critics are saying

  • CZI cut about 70 jobs in February 2026, signaling constant mission resets.
  • AlphaFold3, Isomorphic Labs, and other open models compress Biohub’s advantage quickly.
  • Biohub depends on Chan Zuckerberg philanthropy; a donor pivot would cripple funding.

What makes Chan Zuckerberg Biohub unique

  • Biohub pairs open-source AI biology with wet-lab engineering across Stanford, Berkeley, and UCSF.
  • Rare As One turns patient groups into research engines, trials, and sponsors.
  • Its 2026 protein world model spans 6.8 billion sequences and 1.1 billion structures.

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Benefits

Health Insurance

Life Insurance

Disability Insurance

401(k) Company Match

Family Planning Benefits

Fertility Treatment Support

Childcare Support

Unlimited Paid Time Off

Paid Vacation

Company News

Netzender
Jun 25th, 2026
Chan Zuckerberg Initiative's Biohub to open new rare disease funding round.

Chan Zuckerberg Initiative's Biohub to open new rare disease funding round. Jun 25, 2026 - 23:17 Priscilla Chan (R) and her husband Mark Zuckerberg announce the Chan Zuckerberg Initiative to "cure, prevent or manage all disease" by the end of the century during a news conference at UCSF Mission Bay in San Francisco. Beck Diefenbach | Reuters Biohub, a Chan Zuckerberg Initiative-funded non-profit research organization, announced Thursday that it will open another round of funding through its Rare As One Network this fall. It marks the fourth round of grants for the rare disease community from Rare As One, which has committed more than $150 million to rare disease initiatives through the four funding cycles. "When I was a pediatric resident, I would sit across from families who had done everything right - researched, advocated, fought for answers - and I had to tell them that medicine just didn't know yet. Those families never left me. We built Rare As One because we believe patients aren't bystanders to scientific progress - they are among its most powerful drivers," Priscilla Chan said in a statement to CNBC. The application window for the fourth cycle will likely open in October, though an official date has not yet been announced. Awards will be targeted towards groups focused primarily on rare pulmonary and immune diseases, as well as rare cancers. The announcement also expands Biohub's partnership with Every Cure, the nonprofit founded by Dr. David Fajgenbaum that uses artificial intelligence to identify opportunities to repurpose existing medicines for diseases with few or no treatment options. Biohub already serves as a foundational philanthropic backer of Every Cure. Through the new collaboration, select patient organizations will partner with Every Cure to advance promising drug repurposing opportunities identified from its AI-driven platform, with the goal of taking those findings and turning them into patient-centered research programs. "I'm thrilled about our expanded partnership - from an initial grant to get started with building our AI platform in 2023, to where we are now," Fajgenbaum said. "There's no better organization or team to work with on this shared mission." Dr. David Fajgenbaum, one of the founders of Every Cure, a nonprofit focused on drug repurposing. Courtesy of Every Cure It's all part of a broader push from Chan and Mark Zuckerberg to further incorporate AI in their ambitious quest to eliminate disease. Biohub recently launched its Virtual Biology Initiative - a $500 million effort to build a predictive model of the cell. As part of that announcement, Biohub also introduced its own AI model designed to accelerate drug discovery. "In the seven years since we launched, 94 patient-led organizations have built research networks, launched clinical trials, and in some cases are now sponsoring those trials themselves," Chan said. "What once felt impossible is happening. And now, with AI accelerating what's scientifically possible, every day we are lifting the ceiling of what's possible for families," she added. For Biohub's Rare As One program, the announcement marks another milestone in what has been a transformational relationship with the rare disease advocacy community. To date, Biohub says the organizations it supports have engaged more than 320,000 patients and community members, along with 26,000 researchers. Those organizations have shown how advanced and sophisticated patient-led advocacy groups have become over the past decade, with two-thirds of the groups that received funding from Rare As One building research assets and tools that will help accelerate understanding of rare diseases, and more than half contributing to the development and launch of clinical trials. "We founded the Rare As One Project because we saw that patients were playing a critical role in scientific discovery," Tania Simoncelli, Biohub vice president of translational science, said in a blog post. "What we have witnessed across three cycles is something even more powerful than we imagined. Patients, researchers, and clinicians working together aren't just accelerating timelines: they are reshaping the biomedical research paradigm." Sunitha Malepati, a CNBC Cures Advisory Board member and the vice president of the CACNA1A Foundation - a group that was awarded a grant from Biohub - said being selected to the program completely transformed what her group was able to accomplish. "When we joined the network, we were a young organization with a bold vision but limited infrastructure. Through the program's funding, training, and peer community, we were able to build the organizational capacity needed to actively driving research," she said. Malepati said the money helped establish research partnerships and organize the patient and scientific communities around CACANA1A-related disorders, a group of rare, lifelong neurological and genetic conditions. "Rare As One recognized early on that patient-led organizations can be powerful catalysts for scientific advancement, and their belief in our community has helped accelerate hope toward tangible treatments," she added. By combining its growing presence in the rare disease community along with its growing investment in AI-based medical technologies, Biohub hopes that those tangible treatments start to come faster than ever before - and that the patients desperate for answers can start getting the help that they need.

Morning Top News
Jun 25th, 2026
Chan Zuckerberg Biohub to open new rare disease funding round.

Chan Zuckerberg Biohub to open new rare disease funding round. Advertisements Priscilla Chan (R) and her husband Mark Zuckerberg announce the Chan Zuckerberg Initiative to "cure, prevent or manage all disease" by the end of the century during a news conference at UCSF Mission Bay in San Francisco. Beck Diefenbach | Reuters Biohub, a Chan Zuckerberg Initiative-funded non-profit research organization, announced Thursday that it will open another round of funding through its Rare As One Network this fall. It marks the fourth round of grants for the rare disease community from Rare As One, which has committed more than $150 million to rare disease initiatives through the four funding cycles. "When I was a pediatric resident, I would sit across from families who had done everything right - researched, advocated, fought for answers - and I had to tell them that medicine just didn't know yet. Those families never left me. We built Rare As One because we believe patients aren't bystanders to scientific progress - they are among its most powerful drivers," Priscilla Chan said in a statement to CNBC. The application window for the fourth cycle will likely open in October, though an official date has not yet been announced. Awards will be targeted towards groups focused primarily on rare pulmonary and immune diseases, as well as rare cancers. The announcement also expands Biohub's partnership with Every Cure, the nonprofit founded by Dr. David Fajgenbaum that uses artificial intelligence to identify opportunities to repurpose existing medicines for diseases with few or no treatment options. Biohub already serves as a foundational philanthropic backer of Every Cure. Through the new collaboration, select patient organizations will partner with Every Cure to advance promising drug repurposing opportunities identified from its AI-driven platform, with the goal of taking those findings and turning them into patient-centered research programs. "I'm thrilled about our expanded partnership - from an initial grant to get started with building our AI platform in 2023, to where we are now," Fajgenbaum said. "There's no better organization or team to work with on this shared mission." Dr. David Fajgenbaum, one of the founders of Every Cure, a nonprofit focused on drug repurposing. Courtesy of Every Cure It's all part of a broader push from Chan and Mark Zuckerberg to further incorporate AI in their ambitious quest to eliminate disease. Biohub recently launched its Virtual Biology Initiative - a $500 million effort to build a predictive model of the cell. As part of that announcement, Biohub also introduced its own AI model designed to accelerate drug discovery. "In the seven years since we launched, 94 patient-led organizations have built research networks, launched clinical trials, and in some cases are now sponsoring those trials themselves," Chan said. "What once felt impossible is happening. And now, with AI accelerating what's scientifically possible, every day we are lifting the ceiling of what's possible for families," she added. For Biohub's Rare As One program, the announcement marks another milestone in what has been a transformational relationship with the rare disease advocacy community. To date, Biohub says the organizations it supports have engaged more than 320,000 patients and community members, along with 26,000 researchers. Those organizations have shown how advanced and sophisticated patient-led advocacy groups have become over the past decade, with two-thirds of the groups that received funding from Rare As One building research assets and tools that will help accelerate understanding of rare diseases, and more than half contributing to the development and launch of clinical trials. "We founded the Rare As One Project because we saw that patients were playing a critical role in scientific discovery," Tania Simoncelli, Biohub vice president of translational science, said in a blog post. "What we have witnessed across three cycles is something even more powerful than we imagined. Patients, researchers, and clinicians working together aren't just accelerating timelines: they are reshaping the biomedical research paradigm." Sunitha Malepati, a CNBC Cures Advisory Board member and the vice president of the CACNA1A Foundation - a group that was awarded a grant from Biohub - said being selected to the program completely transformed what her group was able to accomplish. "When we joined the network, we were a young organization with a bold vision but limited infrastructure. Through the program's funding, training, and peer community, we were able to build the organizational capacity needed to actively driving research," she said. Malepati said the money helped establish research partnerships and organize the patient and scientific communities around CACANA1A-related disorders, a group of rare, lifelong neurological and genetic conditions. "Rare As One recognized early on that patient-led organizations can be powerful catalysts for scientific advancement, and their belief in our community has helped accelerate hope toward tangible treatments," she added. By combining its growing presence in the rare disease community along with its growing investment in AI-based medical technologies, Biohub hopes that those tangible treatments start to come faster than ever before - and that the patients desperate for answers can start getting the help that they need. For more stories like this, sign up for the CNBC Cures Newsletter and check out CNBC Cures online. Correction: This story has been corrected to show that Rare As One Network has committed more than $150 million to rare disease initiatives through a total of four funding cycles. Choose CNBC as your preferred source on Google and never miss a moment from the most trusted name in business news.

PR Newswire
Jun 11th, 2026
Laser phase plate breakthrough enables cryo-EM to image 90% of previously invisible cellular proteins

Researchers at Biohub and UC Berkeley have successfully demonstrated the laser phase plate, a revolutionary device that dramatically improves contrast in cryo-electron microscopy images. The technology uses a laser 100 million times brighter than the Sun to enable imaging of small proteins, with more than 90% of human cellular proteins previously too small to capture clearly. The breakthrough, described in two new publications, integrates the laser phase plate into state-of-the-art microscopes. UC Berkeley's paper in Science showed higher resolution across six biological samples, with particular improvement for smaller proteins like hemoglobin. Biohub developed a dual-laser system described in a preprint on biorxiv.org. The device required extraordinary precision, with mirrors polished to atomic-level smoothness and alignment within 1/1000th of a degree. Researchers believe cryo-electron tomography will see major advances, potentially revealing disease mechanisms and therapeutic targets.

Florida Digital News
May 30th, 2026
New protein-folding AI vastly expands on Alphafold's efforts.

New protein-folding AI vastly expands on Alphafold's efforts. 15 4 minutes read May 30, 2026 New protein-folding AI predicts the structures of 1 billion proteins The new open-source atlas, generated by an AI tool called ESMFold2, vastly increases the known protein universe The known protein universe just got a lot bigger. A newly released artificial-intelligence tool has generated an atlas of more than one billion predicted protein structures and billions more protein sequences. The database, known as the ESM Atlas, was unveiled today by researchers at the Chan Zuckerberg Initiative's Biohub, a biomedical institute created in San Francisco, California, by Facebook founder Mark Zuckerberg and his wife, physician and educator Priscilla Chan. The atlas eclipses the AlphaFold Database of predicted protein structures by more than 800 million entries, and a previous ESM Atlas by some 300 million. On supporting science journalism. If you're enjoying this article, consider supporting its award-winning journalism by subscribing. By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping its world today. The predictions were made using ESMFold2, an AI model that Biohub says surpasses the performance of AlphaFold3, the latest version of Google DeepMind's system and other protein-structure prediction AIs. The atlas is described in a preprint released today. "What this atlas does is it shows the totality of protein biology and especially the parts that are most unknown," says Biohub science head Alex Rives, who led the effort. "We think it's going to be a really powerful substrate for the discovery of new biology." Other scientists are impressed with the results, especially that ESMFold2 is fully open source. But the Biohub model enters an increasingly crowded field, in which competing open-source and proprietary protein models are making gains at breakneck speed. Antibody predictions. ESMFold2 is based on a 'protein language' model that Rives's team unveiled in 2024, which was trained on billions of proteins from across the tree of life. It includes 'metagenomic' sequences from soil, ocean and other environments, which are absent from the AlphaFold database of predicted protein structures. Rives' team say ESMFold2 outperforms existing methods, including AlphaFold3, at determining the correct structure of complexes of interacting proteins - including antibody molecules binding to their antigen molecular targets. In the preprint, the researchers describe how they used ESMFold2 to design new antibodies and other proteins that can strongly attach to proteins implicated in cancers and immunological conditions. When created and tested in the lab, a high proportion of the designs worked as predicted. Rives's team used the tool to create an atlas containing 1.1 billion predicted protein structures as well as information on the sequences of 6.8 billion proteins. Most of these come metagenomic sequences that had been only poorly characterized. Rives hopes that the atlas - which will be freely accessible - will help scientists to make connections between the known and unknown parts of the protein universe. Using the atlas, the researchers found structural similarities between CRISPR microbial defence proteins and a gene-editing protein identified in a soil fungus in 2023 and found in other eukaryotic species. Supplementary database. The newly released atlas should be "an extraordinary resource for biology," says Gemma Atkinson, a computational biologist at Lund University in Sweden. "It's exciting to see how large scale protein language models can capture fundamental rules of protein biology." Christine Orengo, a computational biologist at University College London, says the predictions, which will first need evaluating, could help uncover new protein folds and functions, with implications for protein design and basic understanding of biology. Martin Steinegger, a computational biologist at Seoul National University, says his biggest question is how well ESMFold2 can predict the structure of proteins that are very difference from those already known. His team found that the first edition of ESMFold wasn't especially good at predicting unusual protein structures, especially those found in metagenome data. Computational biologist Sergey Ovchinnikov at the Massachusetts Institute of Technology in Cambridge sees the ESM Atlas as a supplement to the widely used AlphaFold database of more than 200 million protein structures, rather than as a replacement. ESMFold2's predictions of interacting proteins are impressive, Ovchinnikov adds, but not all that surprising. Earlier this year, the Google DeepMind biopharma spin-off Isomorphic Labs unveiled a proprietary model that made substantial gains at predicting such structures. Open-source models that the Biohub team didn't compare ESMFold2 against directly have also achieved impressive results at predicting protein interactions, Ovchinnikov says. The fully open-source nature of ESMFold2, with no restrictions on commercial use, means that it could find wide use, says Ovchinnikov. "I expect many people will be excited to try ESMFold2." It's time to stand up for science. I've been a Scientific American subscriber since I was 12 years old, and it helped shape the way I look at the world. SciAm always educates and delights me, and inspires a sense of awe for its vast, beautiful universe. I hope it does that for you, too. If you subscribe to Scientific American, you help ensure that its coverage is centered on meaningful research and discovery; that Florida Digital News has the resources to report on the decisions that threaten labs across the U.S.; and that Florida Digital News support both budding and working scientists at a time when the value of science itself too often goes unrecognized. In return, you get essential news, captivating podcasts, brilliant infographics, can't-miss newsletters, must-watch videos, challenging games, and the science world's best writing and reporting. You can even gift someone a subscription. There has never been a more important time for Florida Digital News to stand up and show why science matters. I hope you'll support Florida Digital News in that mission.

PR Newswire
May 27th, 2026
Biohub releases open AI model predicting protein structures and designing therapeutic binders in days

Biohub has released a world model of protein biology comprising three open-access tools: ESMC, a language model trained on 2.8 billion protein sequences; ESMFold2, which predicts protein structures and designs functional binders; and ESM Atlas, mapping 6.8 billion protein sequences and 1.1 billion predicted structures. In laboratory experiments, researchers used ESMFold2 to design protein binders against five cancer and immunology targets in days rather than months. The designs achieved hit rates of 36–88% for minibinders and 15–29% for antibody formats, with therapeutic-level affinity and stability confirmed in experiments. ESMFold2 outperforms AlphaFold 3 at predicting antibody-antigen complexes. For PD-L1, designed binders successfully restored T cell signalling in laboratory tests. All tools are freely available to researchers globally at Biohub Platform.

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