Postdoctoral Fellow​/Scientist , Single-Cell Method Development

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

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.

• 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 Laboratory of Immunogenomics at Biohub studies the non‑coding regulatory genome to understand and address immune dysfunction in diseases like cancer, autoimmune disorders, and aging. We focus on enhancers—non‑coding, highly cell‑type‑specific transcriptional regulatory elements—and their role in shaping immune responses.

We develop and utilize genomic technologies, including bulk and single‑cell nascent RNA sequencing, genome editing, immune engineering, and CRISPR‑based functional screens in patient biopsies, organoid systems, and mouse models. Through computational analysis integrating machine learning and AI, we map enhancer–gene networks and identify disease‑driving elements. Our goal is to advance enhancer‑guided precision genomic medicine for diseases involving immune dysfunction.

We are seeking an exceptional Postdoctoral Fellow to develop a novel high‑throughput single‑cell genomics platform. This role offers the opportunity to advance next‑generation technology at the intersection of single‑cell biology, engineering, and translational research.

You will lead the design, optimization, and benchmarking of a new single‑cell method for studying gene regulatory networks and apply it in patient biopsy samples and organoid models. Working closely with computational biologists and interdisciplinary collaborators, you will help generate high‑quality datasets and translate them into meaningful biological insights. You will join a highly collaborative and rigorous research environment with access to outstanding scientific resources and patient‑derived samples.

The position offers strong opportunities for scientific growth, publication, mentorship, and career development in single‑cell and functional genomics.

This position is well‑suited for a candidate with experience in single‑cell method development, particularly in microfluidics, droplet chemistry, and bead‑based assay design, who is motivated by both technical innovation and biological discovery. You will have the opportunity to shape platform development, establish new experimental pipelines, and contribute to impactful studies in immune regulation and human disease.

• Lead assay and workflow development
  • Design, optimize, and scale a high‑throughput single‑cell workflow for challenging biological samples.
  • Develop and refine workflows involving cell or nuclei handling, barcoding, bead‑based capture, droplet microfluidics, and library preparation.
  • Systematically benchmark assay performance, throughput, sensitivity, reproducibility, and data quality.
• Execute molecular and cellular workflows
  • Perform…