Full Time

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

Jobverse.io

Full-time

Technology, Information and Internet

Spring House, PA

???* / year

Job Description

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