---
title: 'Research Scientist, AI at Biohub'
canonical: 'https://feeny.ai/job/research-scientist-ai-biohub-new-york-m6drd73tt8f8'
type: 'job'
last_seen: '2026-09-06'
---

# Research Scientist, AI at Biohub

- **Company:** Biohub
- **Location:** New York, NY
- **Work type:** hybrid
- **Posted:** 2026-04-08
- **Last confirmed live:** 2026-09-06
- **Apply:** https://job-boards.greenhouse.io/biohub/jobs/7747518

## 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.

Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment.

Our research spans:

- Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond.
- Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science
- Imaging foundation models trained across the world's largest microscopy datasets
- Reasoning and agentic systems that connect frontier LLMs with biological foundation models
- Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights
- Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled

Join Our Team!

As a Research Scientist, you'll build the models and systems that define what AI can do in biology: foundation models, reasoning, reinforcement learning, and multi-agent systems at frontier scale.

## What You'll Do

- Build on and advance the AI systems at the frontier of biology to accelerate science
- Design novel model architectures and scale pre-training pipelines for our biology foundation models.
- Build post-training systems that drive biological discovery: RL, reward modeling, reasoning, and multi-agent orchestration for long-horizon scientific tasks.
- Design evaluation frameworks and AI systems with scientists across Biohub and beyond, grounded in real biological outcomes and real world impact.
- Engage the wider scientific community through impactful publications, open-source releases, and collaborations worldwide.

## What You'll Bring

- PhD in computer science or a related field, or equivalent experience
- Significant experience building and scaling deep learning systems, ideally in research-driven environments
- Strong engineering and scientific fundamentals
- Comfort with ambiguity, rapid iteration, and loosely-defined research problems
- Strong communication skills across technical and scientific audiences

## Compensation

The future anticipated Redwood City, CA, and New York City, NY base pay range for a role in this field is $214,000 to $375,000 annually. Final compensation is based on the level at which you are hired. Actual placement in range is based on job-related skills and experience, as evaluated throughout 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

Please note that applying to this opportunity does not guarantee that we will be in touch with you regarding our opportunities. Our recruiting team will contact you if your experience aligns with the skills we seek for future open positions. We will keep your interest on file, contact you as opportunities arise, and send you information about the exciting work we are doing at Biohub. You can opt out at any time!

#LI-Hybrid

## About Biohub

## Company Overview
- **One-liner**: Biohub (Chan Zuckerberg Biohub) is a nonprofit research organization building AI-powered tools and engineered cells to detect, treat, and ultimately cure age-related diseases.
- **Entity Type**: Nonprofit (Private) – parent institution is the Chan Zuckerberg Initiative; funded by a $600 million endowment from Mark Zuckerberg and Priscilla Chan.
- **Headquarters**: Redwood City, California, United States (with additional offices in San Francisco, Chicago, New York)
- **Founded**: 2016
- **Founders**: Priscilla Chan and Mark Zuckerberg (co-founded as part of the Chan Zuckerberg Initiative; initial scientific leadership by Stephen Quake and Joseph DeRisi)

## Core Business
- **Primary industry/industries**: AI-powered biology, biotechnology research, healthcare
- **Target customers**: Scientists and researchers in academia and industry; indirectly benefits biotech and pharmaceutical companies through open-source models and foundational research; also invests in early‑stage companies via Science Ventures.
- **Mission or purpose statement**: “To cure or prevent all disease” by combining frontier artificial intelligence with frontier biology to understand why disease happens and how to correct it.

## Products & Services
- **AI Models for Biology**: Frontier AI models trained on large‑scale biological datasets (e.g., a world model of protein biology) that allow scientists to generate, test, and refine new protein designs. These are released as open discovery engines.
- **Multi‑Dimensional Imaging Platforms**: Advanced tools (e.g., laser phase plate microscopy) that capture life from single proteins to whole organisms, revealing how cells function and communicate. Enables new AI models to predict cellular behavior.
- **High‑Throughput Data Generation Engines**: Proprietary platforms for measuring, imaging, and programming biology at unprecedented scale, powering AI model training and hypothesis generation.
- **Science Ventures**: An investment arm that supports early‑stage companies aligned with Biohub’s Grand Challenges (e.g., Somite AI, Adaptyx Biosciences).
- **Grants & Collaborations**: Targeted grantmaking and open competitions to expand scientific research, including the Investigator Program for external scientists.

## Market Standing
- **Valuation/Market Cap**: Not applicable (nonprofit); endowment of US$600 million (initial funding in 2016).
- **Key Metric**: ~367 employees (as of mid‑2025); operating in 5 countries (US, UK, France, Canada, Netherlands); active job postings: 35+.
- **Notable Investors/Partners**: Chan Zuckerberg Initiative (primary funder); academic partners include UC Berkeley, UCSF, Stanford; recent investments in Somite AI and Adaptyx Biosciences.
- **Growth Signals**: Headcount growing 1.5% monthly; quarterly job posting increase of 133%; expanding into new locations (Chicago, New York); launching open‑source biological AI models.

## Competitive Advantages
- **Scale of Compute & Data**: Unprecedented access to frontier AI compute clusters combined with unique, large‑scale biological datasets (genomics, proteomics, imaging).
- **Open Science Model**: Results and models are shared openly, creating a virtuous feedback loop with the global research community.
- **Talent Density**: Strong hiring pipeline from top institutions (Stanford, UC Berkeley, UCSF, Caltech) and a collaborative culture across AI, engineering, and biology.
- **Founder Backing**: Deep, sustained funding from Mark Zuckerberg and Priscilla Chan ensures long‑term, risk‑taking research without commercial pressure.

## Strategic Focus
- **Grand Challenges**: Decoding inflammation, early detection of age‑related diseases (cancer, Alzheimer’s, Parkinson’s), rare disease research, and building a “world model” of protein biology.
- **AI‑First Biology**: Developing AI models that can predict cellular behavior and guide targeted treatment “only when and where needed.”
- **Platform Scaling**: Expanding high‑throughput data generation engines and imaging tools to break through sparsity of biological data.
- **Open Collaboration**: Accelerating translation from basic discovery to patient benefit through partnerships, grants, and open‑source releases.

## Why Work Here
- **Mission‑Driven**: Opportunity to work at the intersection of AI and biology on problems that aim to eliminate the most significant causes of death worldwide.
- **Culture & Team**: A collaborative team of scientists, engineers, and ML experts from top universities and companies (Genentech, EvolutionaryScale, etc.). Emphasis on “audacious, important scientific challenges.”
- **Work Policy**: Hybrid model for many roles in Redwood City and New York; some positions are onsite in Chicago or San Francisco.
- **Compensation & Perks**: Competitive salaries (e.g., Computational Biologist II ~$99k/yr, Clinical Lab Specialist ~$58k/yr); strong benefits typical of a well‑funded nonprofit; no equity, but meaningful mission impact.
- **Growth**: Rapid hiring expansion across AI research, engineering, and biology; opportunity to work on frontier AI compute infrastructure and foundational biology models.

## Sources
1. [biohub.org](https://biohub.org/)
2. [Careers page – Greenhouse](https://job-boards.greenhouse.io/biohub)
3. [LinkedIn – CZ Biohub](https://www.linkedin.com/company/cz-biohub)
4. [Wikipedia – Chan Zuckerberg Biohub](https://en.wikipedia.org/wiki/Chan_Zuckerberg_Biohub) (referenced via search result)

## Other roles at Biohub

- [Lab Manager, Aquaculture](https://feeny.ai/job/lab-manager-aquaculture-biohub-san-francisco-jbb8r64afpz6) — San Francisco, CA
- [Postdoctoral Fellow/Scientist I, Synthetic Spatial Omics (Imaging Technology)](https://feeny.ai/job/postdoctoral-fellow-scientist-i-synthetic-spatial-omics-imaging-technology-1nyrb04bmy85) — New York, NY
- [Scientist II, Scaling Lead](https://feeny.ai/job/scientist-ii-scaling-lead-biohub-san-francisco-9xk1n38bp90g) — San Francisco, CA
- [Computational Biologist, Immune Cell Repolarization](https://feeny.ai/job/computational-biologist-immune-cell-repolarization-biohub-new-york-dt3na0g615eh) — New York, NY
- [Research Associate II, Structural & Cellular Biology (Proteomics & CryoET)](https://feeny.ai/job/research-associate-ii-structural-cellular-biology-proteomics-cryoet-biohub-ge4pjxz6hq0k) — Redwood City, CA
- [Staff Research Scientist, AI Safety](https://feeny.ai/job/staff-research-scientist-ai-safety-biohub-new-york-68fy1gymrhmg) — New York, NY
- [Computational Biologist, Synthetic Spatial Omics](https://feeny.ai/job/computational-biologist-synthetic-spatial-omics-biohub-new-york-srwtkdew50sf) — New York, NY
- [Principal Technical Program Manager, Science, Imaging](https://feeny.ai/job/principal-technical-program-manager-science-imaging-biohub-redwood-city-v9dbd6a743s4) — Redwood City, CA
- [Director, Virtual Biology Initiative](https://feeny.ai/job/director-virtual-biology-initiative-biohub-redwood-city-pwf0p3w6k56w) — Redwood City, CA
- [Staff Data Scientist, Imaging](https://feeny.ai/job/staff-data-scientist-imaging-biohub-redwood-city-20s3vpyx8gb5) — Redwood City, CA