Human Intelligence, Resources, and Experience

Leverage AI/ML across large molecule drug discovery and development - including antibody design, fusion proteins, and other biologic modalities.

This position will lead the development of research data infrastructure that integrates and harmonizes multimodal clinical research data across studies.

A 6–12-month residency developing ML models and pipelines for protein and antibody design in drug discovery.

Develop safety evaluations, safeguards, and risk policies at Biohub to ensure frontier AI and biological foundation models are deployed responsibly for the public good.

Lead AI-guided protein therapeutic discovery, combining experimental protein engineering with computational design and antibody optimization.

Lead NGS analysis for gene editing, protein design and therapeutic programs, including assay analytics and datasets for model training.

Develop AI models of tumor–immune interactions using transcriptomic and spatial data to study immunotherapy resistance and immune-cell reprogramming.

Train multimodal models combining protein imaging, proximity networks and phosphoproteomics to investigate protein regulation in inflammation and autoimmunity.

Build frontier biological foundation models, reasoning agents, and RL pipelines on massive compute clusters at Biohub to accelerate fundamental science.

Structure Therapeutics is seeking a Director of AI Engineering to build and scale production AI capabilities across drug discovery, clinical development, manufacturing, & bus. ops.

Apply AI and computational methods to antibody developability and biophysics in Genentech's AI for Drug Discovery group, supporting biologics portfolio decisions.

Bridge portfolio strategy and biologics research in Genentech's AI for Drug Discovery group, applying AI-driven analysis to gRED portfolio and program decisions.