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Through our expertise in Innovative Medicine and MedTech, 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, United States of America, La Jolla, California, United States of America, New Brunswick, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description:

About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

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//www.jnj.com/innovative-medicine Role Summary The Senior Manager Data Products - Therapeutic Area (TA) is responsible for shaping and delivering high‑value, user‑centric data products that enable advanced analytics, data science, and AI/ML capabilities across the Therapeutic Area. This role focuses on translating TA scientific and data science needs into scalable, reusable, and AI‑ready data products, spanning preclinical, translational, clinical, competitive intelligence, and real‑world data (RWD/RWE). Working in close partnership with TA Data Science teams, scientific leaders, and the broader Data Strategy & Products organization, this leader ensures that data products are fit‑for‑purpose, semantically consistent, interoperable, and aligned with enterprise standards, accelerating discovery, evidence generation, and regulatory readiness. Key Responsibilities Data Product Delivery & Roadmap Execution

• Own the delivery of TA‑facing data products, translating scientific and analytics use cases into clear functional and technical requirements.
• Contribute to and execute a TA data product roadmap aligned with enterprise data strategy, spanning discovery, translational research, clinical development, and real‑world evidence.
• Lead or support agile product delivery, ensuring adherence to F.

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