---
title: 'Postdoctoral Fellow/Scientist I, Synthetic Spatial Omics (Imaging Technology) at Biohub'
canonical: 'https://feeny.ai/job/postdoctoral-fellow-scientist-i-synthetic-spatial-omics-imaging-technology-1nyrb04bmy85'
type: 'job'
last_seen: '2026-09-06'
---

# Postdoctoral Fellow/Scientist I, Synthetic Spatial Omics (Imaging Technology) at Biohub

- **Company:** Biohub
- **Location:** New York, NY
- **Work type:** onsite
- **Posted:** 2026-09-02
- **Last confirmed live:** 2026-09-06
- **Apply:** https://job-boards.greenhouse.io/biohub/jobs/8174563

## 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

The https://biohub.org/immune-cell-reprogramming/) is an independent nonprofit research institute that brings together three powerhouse universities - Columbia University, The Rockefeller University, and Yale University - into a single collaborative technology and discovery engine. Biohub itself supports some of the brightest, boldest engineers, data scientists, and biomedical researchers to investigate the fundamental mechanisms underlying disease and develop new technologies that will lead to actionable diagnostics and effective therapies. We are guided by our values of scholarly excellence; disruptive innovation; hands-on engineering/hacking/building; partnership and collaboration; open communication and respect; inclusiveness; and opportunity for all.

Our Vision

- We pursue large scientific challenges that cannot be pursued in conventional environments
- We enable individual investigators to pursue their riskiest and most innovative ideas
- The technologies developed at Biohub facilitate research by scientists and clinicians at our home institutions and beyond

Diversity of thought, ideas, and perspectives are at the heart of Biohub and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution.

The newly established [Laboratory of Synthetic Spatial Omics](https://biohub.org/synthetic-spatial-omics/) at CZ Biohub NY advances our understanding of engineered immune cell function within their native microenvironment to design better cell therapeutic approaches. Toward this goal, we develop and integrate state-of-the-art immune cell engineering, imaging-based and sequencing-based multi-omics, and machine learning/AI frameworks. We bring together scientists with diverse expertise to pursue highly interdisciplinary scientific challenges.

The Opportunity

We are seeking an exceptional Postdoctoral Fellow/ Scientist I with a creative mindset to drive the development and application of next-generation spatiotemporal omics technologies that resolve immune cell state dynamics and organization. The successful candidate will develop and apply advanced imaging-based multi-omics technologies, integrate them with sequencing-based approaches and systems-level analysis, and use these platforms to measure cellular functions in situ, capture dynamic cell states, and identify molecular drivers of specific functional states. This position offers the opportunity to push the frontier of single-cell and spatiotemporal omics, while developing expertise at the intersection of technology development and fundamental discovery within a highly collaborative, interdisciplinary research environment.

Interested candidates should submit the following documents:

- Cover Letter detailing research interests, motivations, and career goals.
- Full Curriculum Vitae (CV) highlighting major achievements.

## What You'll Do

- Develop next-generation imaging-based technologies to measure molecular organization and cell state dynamics.
- Apply these technologies to profile immune cell states, disease states, and their spatial context.
- Analyze high-dimensional imaging and sequencing datasets using computational approaches to identify organizational and regulatory principles.
- Collaborate closely with researchers across genomics, synthetic biology, immunology, machine learning, and related disciplines.
- Contribute to preprints, publications, presentations, and open science practices.

## What You'll Bring

- PhD in Genomics, Molecular Biology, Bioengineering, Systems Biology, or a closely related discipline.
- 2-4 years of experience post PhD (Scientist I) in single-cell technologies, including imaging-based and/or sequencing-based omics.
- Strong track record of developing novel experimental technologies.
- Experience with molecular biology techniques, including cell culture, nucleic acid workflows, and cellular functional assays.
- Ability to independently design rigorous experiments, troubleshoot complex workflows, and drive projects to completion.
- Collaborative mindset and strong scientific communication skills.
- Experience developing novel imaging-based technologies.
- Research background in immunology or immune engineering.
- Experience with advanced microscopy, instrumentation, or imaging-based transcriptomics/genomics.
- Experience with synthetic biology, protein design, or engineered cell systems.

## Compensation

The New York City, NY base pay range for a new hire in this role is Postdoctoral Fellow = $93,000.00 & Scientist I = $120,000 - $150,000. 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 our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.

## 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-Onsite

## 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
- [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
- [Lab Manager](https://feeny.ai/job/lab-manager-biohub-redwood-city-zkr8595zv6aq) — Redwood City, CA