PostdoctoralFellow,MicrotissueSignalingDynamics

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 We study how cells within tissues communicate through biochemical signals during disease and immune responses. By collecting multimodal data from tissues and developing advanced microfluidic platforms, we aim to uncover the core mechanisms that drive disease progression and treatment responses. Integrating experimental data with computational approaches—including network modeling, information theory, and machine learning—we seek to identify the most informative indicators of disease state and develop more effective therapeutic strategies for autoimmune diseases and cancer. The Opportunity Biohub Chicago seeks outstanding early-career experimental scientists with expertise in microfluidics and quantitative biology to join as a Postdoctoral Fellow developing innovative devices for culturing and testing various tissues. We welcome candidates from diverse experimental backgrounds—whether rooted in microfluidics, imaging, bioengineering, or other modalities—who bring rigorous quantitative thinking and a drive to tackle complex biological questions. This role offers a unique opportunity to work hands-on in a generously funded, highly collaborative environment at the intersection of technology development, bioengineering, and disease-focused discovery. Postdoctoral Fellows will be embedded in interdisciplinary teams applying and developing microfluidic devices to simulate various inflammatory disease mechanisms with focus on skin tissue and/or gut tissue model. The successful candidate will design an