Principal Data Scientist – R&d Dsdh - Preclinical Sciences & Translational Safety (psts)

J&J FAMILY OF COMPANIES

Cambridge, Massachusetts, United States of America
Base: $117,000.00 - $201,250.00; bonus/equity: not...
On-site
Machine learning models
Data pipelines
Python and/or r proficiency
Johnson & Johnson is seeking a Principal Data Scientist to join their R&D Data Science team, focusing on Preclinical Sciences and Translational Safety. The ideal candidate will leverage machine learning and data engineering to drive impactful decisions within the pharmaceutical sciences sector, contributing to improved safety evaluations and translational research

Job Summary

  • 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).
  • 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.

Matching Summary

Match Score: 85

Johnson & Johnson is seeking a Principal Data Scientist to join their R&D Data Science team, focusing on Preclinical Sciences and Translational Safety. The ideal candidate will leverage machine learning and data engineering to drive impactful decisions within the pharmaceutical sciences sector, contributing to improved safety evaluations and translational research.

Salary

Base: $117,000.00 - $201,250.00; Bonus/Equity: Not specified; Benefits: Vacation –120 hours per calendar year, Sick time - 40 hours per calendar year, Holiday pay, Work, Personal and Family Time, Parental Leave, Bereavement Leave, Caregiver Leave, Volunteer Leave, Military Spouse Time-Off

Skills & Requirements

Must-have

  • Machine learning models
  • Data pipelines
  • Python and/or R proficiency
  • Toxicology data analysis
  • PK/PD modeling

Nice-to-have

  • Scientific data formats
  • Cloud-based data architectures
  • Ontologies and semantic technologies

Key Requirements

  • 3+ years of experience
  • MS or PhD degree
  • Experience with ML model development
  • Experience with biological, toxicology, PK/PD, or in vivo datasets

Work Rights

Not specified

Tailored Resume

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