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

Johnson & Johnson

Remote

Quick summary

Work type
Remote
Location
Spring House, PA
Posted
2 days ago
Closes
Jul 31, 2026
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $198k
$131k most similar roles pay here $245k

This listing doesn't post a salary. Most similar roles pay $162,000–$234,000.

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 70 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 67 roles with salary data.

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At a glance

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 analytics to support translational safety and preclinical workflows. This role involves leading a team of data scientists and engineers to build scalable data pipelines and robust data products while fostering external partnerships with industry consortia and academic partners. The position requires expertise in computational biology, toxicology, pharmacology, AI/ML, and applied math/statistics, along with experience in creating high-impact R&D innovations through data science and automation within scientific domains. Key skills include strong leadership, strategic vision, collaboration, innovation, and the ability to communicate complex technical concepts effectively across diverse stakeholders.

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 and R&D teams to introduce emerging technologies like generative AI and multimodal analytics that benefit PSTS’s objectives.

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 and translational safety.
  • Demonstrated success in delivering interoperable data products and scalable analytics platforms.

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