Biohub
The role is part of Biohub's Data team, focusing on designing data representations and tokenization strategies for imaging data to enable novel AI model architectures. The scientist will collaborate across experimental, data science, data engineering, and AI research teams to define data acquisition priorities, assess external datasets, and develop methods for integrating heterogeneous biological data modalities.
Headquarters
Redwood City, California, United States
Company Size
201-500 employees
Founded
2016
Biohub is a research organization dedicated to curing and preventing all disease by advancing AI-powered biology. It combines frontier biological research, machine learning, and state-of-the-art laboratory technology to build the tools, datasets, and models that accelerate discovery. Biohub brings together interdisciplinary teams of scientists, engineers, and clinicians and partners with universities and health systems to translate insights into diagnostics and therapies. Its approach emphasizes collaboration and technology-driven platforms to speed basic research and therapeutic development.
AI-Driven Digital Biology Revolutionizes Biotech Industry
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Digital Biology
Sep 25, 2023
Patrick Hsu: A Trailblazer in Digital Biology
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Biohub.
72% above the average for this role
Oct 13, 2024
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