Sr Director, Head of Data Science & Digital Health – Preclinical Sciences & Translational Safety (PSTS)

Johnson & Johnson

Closes in 6 days Remote

Quick summary

Work type
Remote
Location
Spring House, PA
Posted
24 days ago
Closes
Jun 12, 2026 (soon)

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Salary context

How this pay compares to similar roles

Similar $195k
$122k most similar roles pay here $240k

This listing doesn't post a salary. Most similar roles pay $162,000–$228,950.

Based on 240 similar postings.

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About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 71 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 68 roles with salary data.

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TL;DR · Sr Director, Head of Data Science & Digital Health – Preclinical Sciences & Translational Safety (PSTS)

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The Sr Director, Head of Data Science & Digital Health at Johnson & Johnson’s Preclinical Sciences & Translational Safety (PSTS) organization in Spring House, PA, is a strategic leader responsible for developing and executing a comprehensive data strategy that integrates advanced automation, ML/AI models, and FAIR data practices. This role involves designing scalable data pipelines, fostering external partnerships with industry consortia and academic partners, and championing Responsible AI standards across the R&D ecosystem. The incumbent will lead a team of data scientists and engineers to support PSTS’s strategic goals while collaborating closely with IT and other R&D departments like Therapeutics Discovery and Development & Supply. Essential qualifications include a PhD in relevant fields such as Computational Biology or Toxicology, 7+ years of experience in translational safety and drug discovery, and proven expertise in creating impactful data-driven innovations within scientific domains.

Skills

Python SQL R MachineLearning AI DataEngineering Kubernetes AWS Azure CI/CD MLOps FAIRdata GenerativeAI MultimodalAnalytics AgenticAI PostgreSQL Git JupyterNotebooks

What you'll do

  • Develop and execute a comprehensive data strategy for PSTS using advanced automation and FAIR data practices.
  • Lead the design and implementation of scalable data pipelines and ML/AI models to support translational safety workflows.
  • Build external partnerships with industry consortia and academic partners to advance Data Science needs for PSTS.
  • Champion data governance, analytics, model lifecycle management, and Responsible AI standards into reusable capabilities.
  • Collaborate with IT, R&D Data Science, and Therapeutic Areas to introduce emerging technologies that benefit PSTS’s business objectives.
  • Lead a core team of data scientists and engineers to support PSTS in reaching its strategic goals.

What we're looking for

  • PhD or equivalent in Computational Biology, Toxicology, Pharmacology, AI/ML, Applied Math/Statistics.
  • 7+ years of experience in data science for translational safety and drug discovery.
  • Proven expertise in creating high-impact R&D innovations through data science and automation.
  • Strong leadership in applying ML/AI methods to preclinical workflows.
  • Demonstrated success in delivering interoperable data products and scalable analytics platforms.

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