Principal Scientist, Data Science - Digital Media

About Johnson & Johnson

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and Med Tech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.

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Job Function:
Data Analytics & Computational Sciences

Job Sub Function:
Data Science

Job Category:
Scientific/Technology

All Job Posting Locations:
Cambridge, Massachusetts;
Raritan, New Jersey;
San Diego, California;
Spring House, Pennsylvania;
Titusville, New Jersey.

Career Path:
Principal Scientist, Data Science. Primary location is flexible across the listed sites.

This role will serve as a strategic leader and subject‑matter expert, defining the vision and execution strategy for data products within Medical Imaging and Digital Media. The objective is to advance next‑generation, data‑driven capabilities that enable scalable insights and innovation across therapeutic and disease areas. The position leads critical work streams in partnership with therapeutic and disease area teams, unlocking value through the integration of advanced data, technology, and domain expertise.

The role also reimagines existing processes, challenges the status quo, and drives modernization of imaging data ecosystems to improve efficiency and impact. A strong foundation in medical imaging is essential, with the ability to translate complex, multi‑modal imaging data into actionable data products and clinically relevant insights.

• Define Data Product Vision:
  Articulate an end‑to‑end strategy for imaging data products, spanning ingestion, curation, integration, and consumption.
• Drive Data Product Delivery:
  Lead development and scaling of medical imaging data products aligned to clinical trial and therapeutic needs.
• Enable Data Standards & Governance:
  Promote adoption of FAIR data principles and ensure compliance with regulatory, privacy, and ethical standards.
• Partner with Domain Leaders:
  Collaborate with therapeutic and disease area teams to translate business needs into scalable data product solutions.
• Lead Cross‑functional Execution:
  Work across data science, engineering, clinical, and external partners (CROs/vendors) to deliver impactful outcomes.
• Modernize Imaging Ecosystems:
  Drive transformation of imaging pipelines, platforms, and workflows to improve operational efficiency and scalability.
• Expand Data Product Portfolio:
  Support strategic growth of imaging‑focused data capabilities aligned to clinical development priorities.

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

• Advanced Analytics
• Coaching
• Critical Thinking
• Data Analysis
• Data Privacy Standards
• Data Quality
• Data Reporting
• Data Savvy
• Data Science
• Data Visualization
• Digital Fluency
• Econometric Models
• Organizing
• Process Improvements
• Strategic Thinking Technical Credibility
• Workflow Analysis

• Experience applying data science techniques to medical imaging scenarios.
• K…