Principal Data Scientist – R&D DSDH - Preclinical Sciences & Translational Safety (PSTS)

Leverage machine learning and data engineering to create AI-ready datasets, develop predictive models, and deliver analytics that improve safety evaluations and facilitate translational research.

• Develop/deploy ML/AI models for safety signal detection, dose selection, PK/PD modeling, toxicology insights, and translational interpretation.
• Implement representation learning, predictive modeling, and multivariate analytics across in vivo, in vitro, exposure-response, and pathology data.
• Build scalable data pipelines integrating PSTS-relevant sources and transform experimental outputs into standardized, analysis-ready, AI-ready datasets.
• Collaborate with toxicology/DMPK/safety stakeholders to translate study designs into computational requirements and improve cross-study comparability (terminologies, met...