Postdoctoral Fellow/ Scientist I , Synthetic Spatial Omics

Biohub • New York, NY

7d • $120,000 - $150,000 • Hybrid

About The Position

Biohub is a large-scale initiative that integrates frontier AI models, massive compute, and experimental capabilities to accelerate scientific discovery. The Chan Zuckerberg Biohub New York (CZ Biohub NY) is an independent nonprofit research institute that brings together Columbia University, The Rockefeller University, and Yale University into a collaborative technology and discovery engine. Biohub supports engineers, data scientists, and biomedical researchers to investigate disease mechanisms and develop new technologies for diagnostics and therapies. The Laboratory of Synthetic Spatial Omics at CZ Biohub NY focuses on understanding engineered immune cell function within their native microenvironment to design better cell therapeutic approaches. This involves integrating immune cell engineering, imaging-based and sequencing-based multi-omics, and machine learning/AI frameworks. The laboratory brings together scientists with diverse expertise to tackle interdisciplinary scientific challenges.

Requirements

• PhD in Synthetic Biology, Systems Biology, Bioengineering, Immunology or a closely related discipline.
• 2-4 years of experience post PhD (Scientist I) in synthetic biology, immune engineering, and/or protein design.
• Experience 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.

Nice To Haves

• Experience developing novel computational technologies.
• Experience with immune cell engineering and their characterization with animal models.
• Experience with de novo protein design or protein circuits.
• Experience with omics technologies and analysis.

Responsibilities

• Computationally design programmable molecular components (e.g., receptors and transcription factors).
• Engineer immune cells with these components and profile their behavior in tissue using spatial multi-omics (e.g., seqFISH+) to uncover cellular functions and engineering principles.
• Analyze high-dimensional imaging and sequencing datasets using computational approaches to identify organizational and regulatory principles.
• Collaborate closely with researchers across genomics, immunology, machine learning, and related disciplines.
• Contribute to preprints, publications, presentations, and open science practices.

Benefits

• Generous employer match on employee 401(k) contributions.
• Paid time off to volunteer at an organization of your choice.
• Funding for select family-forming benefits.
• Relocation support.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree