ESM3. Enabling scientists to understand, imagine, and create proteins. Backed by Lux.
About the role
Part of the Imaging Grand Challenge, The CELLxSTATE Program builds next-generation technologies to decode and control how cells make decisions — combining live-cell imaging, multi-omics, and AI at unprecedented scale. We also create large reference datasets that can be mined and reused by the entire community for discovery, like our OpenCell project that maps protein localization and interactions ( https://opencell.czbiohub.org/ ).
What they're looking for
- Design, develop, and maintain scalable image analysis pipelines for large-scale fluorescent microscopy datasets, with an emphasis on image quality robustness and computational efficiency
- Integrate emerging multi-modal data types (e.g., spatial transcriptomics) into unified, AI-ready datasets that support downstream modeling and discovery
- Advance our bio-image analysis capabilities (e.g., segmentation, tracking, image-stitching, and image registration)
- Partner closely with biologists and automation engineers to implement end-to-end quality control metrics, ensuring the fidelity of our experimental and computational pipelines
- Architect modular and reusable processing frameworks that can flexibly support multiple experiment types within a shared infrastructure
- Publish and disseminate impactful findings through preprints, papers, and software repositories (e.g., GitHub)
More about this role
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.
Through our multi-dimensional imaging program, we build imaging tools that capture life across scales — from single proteins to whole organisms — revealing how proteins and cells function, communicate, and assemble into living systems. These observations are laying the groundwork for a new generation of AI models that can predict cellular behavior and guide the development of better treatments for widespread diseases. You can learn more about our work here .
Our work brings together three powerhouse universities - Stanford, UC Berkeley, and UC San Francisco - into a single collaborative technology and discovery engine.
- Pursue large scientific challenges that cannot be pursued in conventional environments
- Enable...
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