Senior Data Scientist - R&D DDSAI - Preclinical Sciences & Translational Safety

Johnson & Johnson is seeking a Senior Data Scientist for its R&D Data Science organization. The role develops machine-learning models and scalable data pipelines, translating scientific data and expertise into insights that support safety evaluations and translational research.

Responsibilities:

• Develop and deploy ML/AI models to support safety signal detection, dose selection, PK/PD modeling, toxicology insights, and translational interpretation
• Implement representation‑learning, predictive modeling, and multivariate analytics for datasets spanning in vivo studies, in vitro assays, exposure‑response data, and pathology information
• Partner with scientific SMEs to design modeling strategies aligned with PSTS decision points
• Apply model governance, versioning, and validation standards consistent with R&D AI practices
• Build and maintain scalable data pipelines that integrate PSTS‑relevant data sources (e.g., toxicology studies, PK/PD datasets, biomarker readouts, animal study repositories)
• Transform raw experimental outputs into standardized, analysis‑ready, AI‑ready datasets using Python, R, and cloud‑native services
• Contribute to harmonized scientific data models in collaboration with data engineering and ontology teams
• Work directly with toxicology, DMPK, and safety stakeholders to interpret scientific context and translate study designs into computational requirements
• Apply understanding of mechanism‑based toxicology, exposure‑response concepts, and in vivo study structures to guide data transformations and modeling strategies
• Enhance cross‑study comparability via standardized terminologies, metadata practices, and quality checks
• Collaborate with PSTS functional experts, R&D Data Science teams, and platform architects to ensure high-quality, scalable data solutions