Principal Scientist, Data Science - Digital Media

Johnson & Johnson Johnson & Johnson · Pharma · Titusville, NJ +7

This Principal Scientist role focuses on defining and delivering data products within Medical Imaging and Digital Media for Johnson & Johnson Innovative Medicine. The role involves advancing data-driven capabilities, integrating advanced data and technology, and modernizing imaging data ecosystems. A strong foundation in medical imaging and the ability to translate complex, multi-modal imaging data into actionable insights and data products are essential. The role will also involve collaboration with various teams and partners to ensure compliance with regulatory and ethical standards.

What you'd actually do

  1. Define Data Product Vision: Articulate an end-to-end strategy for imaging data products, spanning ingestion, curation, integration, and consumption.
  2. Drive Data Product Delivery: Lead development and scaling of medical imaging data products aligned to clinical trial and therapeutic needs.
  3. Enable Data Standards & Governance: Promote adoption of FAIR data principles and ensure compliance with regulatory, privacy, and ethical standards.
  4. Partner with Domain Leaders: Collaborate with therapeutic and disease area teams to translate business needs into scalable data product solutions.
  5. Lead Cross-functional Execution: Work across data science, engineering, clinical, and external partners (CROs/vendors) to deliver impactful outcomes.

Skills

Required

  • Master’s degree required; PhD or equivalent preferred
  • Advanced degree in Imaging Health Sciences or related field
  • Background in Radiology, Diagnostic Imaging, Interventional Medicine, Medical Physics, or similar
  • 10+ years of experience in medical imaging and multi-modal data environments
  • Strong experience building and scaling data products or data platforms
  • Demonstrated leadership in cross-functional and vendor collaborations
  • Hands-on expertise in imaging data standards (e.g., DICOM), PACS, and multi-modal data pipelines
  • Familiarity with advanced analytics and AI/ML (e.g., computer vision) in imaging contexts
  • Ability to translate complex imaging data into business and clinical value
  • Strong stakeholder engagement across clinical trial teams, data stewards, and technology partners

Nice to have

  • Demonstrated credibility as a subject-matter expert in imaging (research, publications, or equivalent experience is a plus)

What the JD emphasized

  • medical imaging and multi-modal data environments
  • data products or data platforms

Other signals

  • data products
  • medical imaging
  • multi-modal data
  • AI/ML
  • computer vision