Postdoctoral Fellow, Transcription Regulation using Genomics and Machine Learning

<div class="content-intro"><p>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.</p></div><h2><span style="color: rgb(40, 40, 39); font-family: helvetica, arial, sans-serif;">The Team</span></h2> <p>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 <a href="https://biohub.org/immune-cell-reprogramming/">here</a>.&nbsp;</p> <p>Our work brings together three powerhouse universities - Columbia University, The Rockefeller University, and Yale University - into a single collaborative technology and discovery engine.</p> <p><strong>Our Vision</strong></p> <ul> <li>Pursue large scientific challenges that cannot be pursued in conventional environments</li> <li>Enable individual investigators to pursue their riskiest and most innovative ideas</li> <li>Facilitate research by scientists and clinicians at our home institutions and beyond</li> </ul> <p>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.</p> <p>The <strong>Laboratory of Immunogenomics</strong> at <strong>CZ Biohub NY</strong> (<a href="http://www.mahatlab.com">www.mahatlab.com</a>) 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.</p> <p>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 advanc</p> <h2><span style="color: rgb(40, 40, 39); font-