Postdoctoral Fellow, Live Tissue Omics

BioHub
Chicago, IL (Onsite)Posted 1 April 2026

Tech Stack

Job Description

Biohub is a 501(c)(3) biomedical research organization building the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease. We build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. With our compute capacity, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, we are enabling scientists worldwide to use AI-powered biology to advance our understanding of human health. The Team The Biohub is a group of nonprofit research institutes that bring together scientists, engineers, and physicians with the goal of pursuing grand scientific challenges on 10- to 15-year time horizons. The Biohub focuses on understanding underlying mechanisms of disease and developing new technologies that will lead to actionable diagnostics and effective therapies. Our Vision We pursue large scientific challenges that cannot be pursued in conventional environments We enable individual investigators to pursue their riskiest and most innovative ideas The technologies developed at the Biohub facilitate research by scientists and clinicians at our home institutions and beyond Diversity of thought, ideas, and perspectives are at the heart of Biohub and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution. The Opportunity Biohub Chicago seeks outstanding early-career scientists and engineers to join its Quantitative Live Tissue Transcriptomics platform as a Postdoctoral Research Scholar in longitudinal and single-cell profiling. This role offers a unique opportunity to work hands-on in a generously funded, highly collaborative environment at the intersection of technology development, biology, and disease-focused discovery. Postdoctoral Research Scholars will be embedded in interdisciplinary teams developing and applying next-generation transcriptomic workflows for non-destructive, time-resolved measurements from living cells and tissues. A central focus of this role is understanding how dynamic gene expression and cell-to-cell transcriptional heterogeneity shape the behavior of immune-competent organoid and ex vivo systems. The successful candidate will leverage emerging live-sampling technologies to interrogate cellular dynamics, immune–tissue interactions, and emergent phenotypes that are inaccessible with static, endpoint approaches. This position provides strong mentorship alongside meaningful scientific independence within a team-science model that emphasizes collaboration across experimental, computational, and engineering domains. Projects align with the Biohub's mission to uncover fundamental disease mechanisms and to develop transformative measurement technologies that accelerate biomedical research. Biohub Chicago is deeply committed to training scientists for impactful careers in academia, industry, and beyond. What You'll Do Design and execute longitudinal transcriptomics experiments to investigate dynamic gene expression and transcriptional heterogeneity in immune-competent organoid systems. Develop, optimize, and apply advanced RNA profiling workflows for non-destructive, time-resolved sampling from living cells and tissues, including method development, benchmarking, and quality control. Collaborate closely with interdisciplinary teams spanning tissue engineering, immunology, computation, and instrumentation to build and interrogate increasingly complex immune-organoid models. Analyze and interpret large-scale transcriptomics and lineage barcoding datasets using state-of-the-art computational pipelines, and communicate results clearly through figures, presentations, and internal discussions. Disseminate research outputs through high-impact publicat ... (truncated, view full listing at source)
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