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/DevOps 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-functional AI/ML adoption; uphold data quality, documentation, governance, and reproducibility. Qualifications Required:Master’s or Ph.D. in Computational Biology/Bioinformatics/Data Science/Chemistry/Chemical Biology/Biomedical Engineering/Computer Science or related. ML/AI experience in scientific domains (drug discovery, biology, chemistry, systems biology, imaging, etc.). Strong Python skills and experience with PyTorch, TensorFlow, scikit-learn, RDKit (or similar). Data engineering experience (data modeling, orchestration, ETL/ELT, AWS/GCP/Azure). Ability to work directly with experimental scientists. Preferred:Pharma/biotech discovery experience (target assessment, phenotypic screening, medicinal chemistry, lab automation). Omics, high-content imaging, chemical structure, or assay data familiarity. Knowledge of FAIR/ontologies/controlled vocabularies and regulated/quality-governed environments. Strong communication in a matrixed, multidisciplinary environment. Required/Preferred Skills (from posting) Advanced analytics Data analysis Data quality/governance Data visualization Digital fluency Workflow/process improvement Strategic thinking Technical credibility Data reporting Data privacy standards Benefits (time off) Vacation (120 hrs/yr) Sick time (40 hrs/yr; CO 48; WA 56) Holiday pay incl. floating holidays (13 days/yr) Work/personal/family time (up to 40 hrs/yr) Parental leave (480 hrs/yr) Bereavement (240 hrs immediate family; extended 40 hrs/yr) Caregiver leave (80 hrs/52-week rolling) Volunteer leave (32 hrs/yr) Military spouse time-off (80 hrs/yr) #J-18808-Ljbffr