Postdoctoral Fellow, Functional Genomics

About the role

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.

Responsibilities

• Essential -
• Massive-scale Perturb-seq: Design, optimize, scale, and carry out large-scale Perturb-seq experiments in iPSC-derived immune cells and immortalized cell lines.
• Assay development: Design, optimize, and validate CRISPR functional genomics technologies to obtain higher quality, more complex data about cell-state regulation in human cells.
• Immune cell engineering: Culture and differentiate iPSCs into immune cell types such as T-cells and macrophages.
• Data generation: Partner with AI researchers to process and interpret large-scale single-cell datasets.
• Collaboration and dissemination: Collaborate across disciplines to understand systems-level reprogramming of human immune cells.
• Nice to have -
• Experience with CRISPR screening in iPSCs and primary immune cells.
• Experience analyzing large-scale genomics datasets.
• Working knowledge of R or Python and single-cell analysis tools.
• Experience with cytokine or small molecule immune cell assays.

Requirements

• PhD in molecular biology, systems biology, genetics, biomedical engineering, or related field
• Proven expertise an

Benefits

Additional Information

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.

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