Principal Data Scientist - R&D Dsdh - Preclinical Sciences & Translational Safety

Johnson & J&J Innovative Medicine is recruiting for Principal Data Scientist - R&D DSDH - Preclinical Sciences & Translational Safety (PSTS). The primary location for this position is open to Spring House, PA; Titusville, NJ; Spring House, PA; Cambridge, MA; San Diego, CA; Beerse, Belgium; Madrid, Spain; or Barcelona, Spain., * 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.

• Advanced degree (MS or PhD) in Data Science, Computational Biology, Toxicology, Pharmacology, Biomedical Engineering, Computer Science, or related field.
• 3+ years of experience applying machine learning and/or data engineering to scientific or biomedical datasets.
• Proficiency with Python and/or R, SQL, and modern data engineering tooling (cloud computing, workflow orchestration, version control).
• Experience with ML model development, evaluation, and deployment pipelines.
• Experience working with biological, toxicology, PK/PD, or in vivo datasets., * Experience in safety sciences, ADME/DMPK, toxicogenomics, or biomarker analytics.
• Familiarity with scientific data formats (e.g., assay outputs, histopathology data, PK time-course datasets).
• Exposure to ontologies, semantic technologies, or knowledge graph integration for scientific domains.
• Experience with cloud-based data architectures (AWS S3, Snowflake, Redshift).
• Understanding of regulatory data standards (e.g., SEND, CDISC).

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com. As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit., Johnson & J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals., This is a rare opportunity to grow in one of the world’s most ambitious and fastest-growing R&D Data Science organizations, shaping how PSTS data powers next-generation therapies in the largest biomedical company on the planet. Your work will directly accelerate Johnson & Johnson’s scientific discovery, fuel AI innovation, and impact patients globally.