Postdoctoral Fellow, Functional Genomics
BioHubNew York, NY (Onsite)Posted 18 April 2026
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
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 ev
Our Immune Cell Reprogramming team integrates foundational research on immunology and disease biology with AI-modeling to develop engineered cells that harness our own immune system to detect and treat early signs of age-related diseases, like cancer, Alzheimer’s, and Parkinson’s. These technologies will enable precise, context-dependent therapeutic responses only when and where it is needed. You can learn more about our work here .
Our work brings together three powerhouse universities - Columbia University, The Rockefeller University, and Yale University - into a single collaborative technology and discovery engine.
Our Vision
Pursue large scientific challenges that cannot be pursued in conventional environments
Enable individual investigators to pursue their riskiest and most innovative ideas
Facilitate research by scientists and clinicians at our home institutions and beyond
We are a team of passionate individuals powered by technology, guided by scientific research, and driven by collaboration, working toward a mission to cure or prevent all disease.
The Opportunity
We are seeking a highly motivated Postdoctoral Fellow to lead development of pooled functional genomics technologies at scale, with emphasis on CRISPR technologies (CRISPRi, CRISPRa, CRISPRoff, and CRISPR base editing) in iPSC-derived immune cells and primary immune cells.
The role involves designing, optimizing, and validating new pooled CRISPR workflows and driving projects that provide new insights for immune system reprogramming and training foundational AI models. This position offers the opportunity to develop and own an independent research project—with potential to publish and present findings—while contributing to the team's broader collaborative efforts.
This is a wet lab-based, hands-on position that specifically requires experience with functional genomics method development and high-volume human cell culture. It offers the opportunity to develop and implement assays, conduct perturbation experiments, oversee data generation, and participate in follow-up discovery collaborations.
This role is ideal for a recent PhD with a proven track record in functional genomics and human cell culture (particularly iPSC culture) who excels at multitasking genomics projects and developing cutting-edge CRISPR genomics technologies. You will join a highly collaborative team at the forefront of massive-scale perturbation technologies and AI model development to predict how to reprogram the immune system to prevent, identify, and treat human disease.
This researcher will be based at our Satellite site in NYC integrated with a team specializing in advanced functional genomics technologies, particularly massive-scale pooled CRISPR screens and single-cell profiling, to understand immune cell regulation. The team sits at the intersection of next-generation wet-lab genomics technologies and AI model development.
What You'll Do
Essential
Massive-scale Perturb-seq: Design, optimize, scale, and carry out large-scale Perturb- ... (truncated, view full listing at source)
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