Nonprofit AI-for-biology research institute building foundation models
Biohub is a nonprofit research institute pairing large-scale AI with wet-lab measurement to model how cells work. Its stack spans HPC (Slurm, InfiniBand, AWS ParallelCluster, CoreWeave) and lakehouse data tooling (Databricks, Delta Lake, Iceberg) next to cryo-EM, FIB-SEM and Opentrons automation, a frontier-lab compute footprint inside a biology org. Hiring is research-heavy and senior-skewed, with AI safety and safeguards a recurring theme.
Biohub is a nonprofit biotechnology research organization headquartered in Redwood City, California, with 201–500 employees. It develops AI models and laboratory technology to help scientists understand cellular systems and the mechanisms of disease. Research areas include genomics, CRISPR, bioinformatics, cell atlases, biophysics and infectious disease. Its labs use imaging and measurement instruments such as cryo-EM, FIB-SEM and 10x Genomics, alongside automated liquid handling. Hiring spans the United States and Canada.
Biohub runs Python, Go, Rust and C++ on Slurm and Kubernetes HPC infrastructure with InfiniBand, AWS, GCP and CoreWeave, plus Databricks, Delta Lake, Apache Iceberg, Ray and Argo Workflows for data and ML pipelines.
Job posts point to biology foundation models, multi-agent orchestration for long-horizon scientific tasks, a spatiotemporal multi-omics platform, reinforcement learning for discovery, and AI safety evaluations.
Biohub is headquartered in Redwood City, California, and hires in the United States and Canada, with most openings in research roles at senior and staff levels.
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