Principal Data Scientist – R& D DSDH - Therapeutics Discovery (TD)Responsibilities: Develop ML/AI models for discovery workflows (target prioritization, multi-omics integration, mechanistic inference).
Apply modern ML (deep learning, graph learning, foundation/generative models) to chemical, biological, imaging, and assay data.Build/optimize scalable, interpretable, scientifically rigorous models for R& D use cases.Design, build, and maintain data pipelines to curate/standardize/integrate diverse R& D datasets (chemical, biological, multi-omics, imaging, biophysical, automation logs).
Partner on MLOps/Dev Ops and deploy ML models into production R& D environments.Create tooling for dataset prep, feature engineering, and model lifecycle management.Collaborate with TD scientists to translate heterogeneous experimental data into insights for hit discovery, mechanism studies, perturbation experiments, and compound optimization.Support experiment design/interpretation and cross-f...