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

Johnson & Johnson Innovative Medicine

Spring House, PA, USA
On-site
Machine learning and data engineering
Python and/or r, sql
Ml model development, evaluation, deployment
Johnson & Johnson Innovative Medicine is seeking a Principal Data Scientist to contribute to R&D in Preclinical Sciences and Translational Safety. The role focuses on leveraging machine learning and data engineering to enhance safety evaluations and translational research in pharmaceutical sciences

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.
  • Work directly with toxicology, DMPK, and safety stakeholders to interpret scientific context and translate study designs into computational requirements.

Matching Summary

Match Score: 85

Johnson & Johnson Innovative Medicine is seeking a Principal Data Scientist to contribute to R&D in Preclinical Sciences and Translational Safety. The role focuses on leveraging machine learning and data engineering to enhance safety evaluations and translational research in pharmaceutical sciences.

Skills & Requirements

Must-have

  • Machine learning and data engineering
  • Python and/or R, SQL
  • ML model development, evaluation, deployment
  • Toxicology, pharmacokinetics/pharmacodynamics (PK/PD)

Nice-to-have

  • Safety sciences, ADME/DMPK
  • Scientific data formats
  • Ontologies, semantic technologies
  • Cloud-based data architectures
  • 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

Work Rights

Not specified

Tailored Resume

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