Principal Data Scientist – R&d Dsdh - Preclinical Sciences & Translational Safety (psts)
Johnson & Johnson
Spring House, PA, USA
**
Machine learning model development
Data pipeline development
Python and/or r proficiency
**
Johnson & Johnson is seeking a Principal Data Scientist for their R&D DSDH - Preclinical Sciences & Translational Safety (PSTS) team. The ideal candidate will leverage advanced machine learning and data engineering skills to enhance safety evaluations and support translational research across multiple global locations.
**
Job Summary
Leverage advanced machine learning, robust data engineering techniques, and domain expertise to drive impactful decisions and generate actionable insights within the Pharmaceutical Sciences & Translational Safety (PSTS) organization.
Develop and deploy ML/AI models to support safety signal detection, dose selection, PK/PD modeling, toxicology insights, and translational interpretation.
Build and maintain scalable data pipelines that integrate PSTS-relevant data sources (e.g., toxicology studies, PK/PD datasets, biomarker readouts, animal study repositories).
Matching Summary
Match Score: 75
**
Johnson & Johnson is seeking a Principal Data Scientist for their R&D DSDH - Preclinical Sciences & Translational Safety (PSTS) team. The ideal candidate will leverage advanced machine learning and data engineering skills to enhance safety evaluations and support translational research across multiple global locations.
**
Skills & Requirements
Must-have
Machine learning model development
Data pipeline development
Python and/or R proficiency
Cloud-native services
Toxicology and PK/PD data
Nice-to-have
Scientific data formats
Ontologies and semantic technologies
Regulatory data standards
Key Requirements
MS or PhD degree
3+ years of experience
Proficiency with Python and/or R, SQL
Experience with ML model development
Experience with biological, toxicology, PK/PD, or in vivo datasets