Postdoctoral Fellow​/Scientist , Synthetic Spatial Omics; Imaging Technology

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 Chan Zuckerberg Biohub New York 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 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.

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.

• 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.

• 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…