Manager, R&D Data, Data Science & Artificial Intelligence - Immunology

Position: Manager, R&D Data, Data Science & Artificial Intelligence - Immunology Real World Evidence
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. Learn

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Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

People Leader

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

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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Johnson & Johnson Innovative Medicine is currently seeking an Manager, R&D Data, Data Science & Artificial Intelligence - Immunology Real World Evidence to join our Data, Data Science and Artificial Intelligence team (DDSAI) and work at one of our sites in either Spring House, PA, Cambridge, MA, Titusville, NJ, or Raritan, NJ (no fully remote option available).

The Manager, R&D Data, Data Science & AI (DDSAI), Immunology Real‑World Evidence (RWE), is an individual contributor responsible for supporting data science and real‑world evidence activities for Immunology research and development programs. The role applies established real‑world methodologies to generate insights that inform clinical development and internal scientific decision‑making.

Working under guidance within a defined scope, the Manager partners with cross‑functional teams to translate disease and therapeutic area priorities into actionable research questions while aligning with established functional strategies, standards, and governance frameworks.

Key Responsibilities

* Support the execution of real‑world and digital health evidence plans aligned with Immunology disease and therapeutic area objectives.

* Contribute to defined evidence generation work streams supporting clinical development programs, including evidence gap assessment, patient characterization, subgroup identification, endpoint exploration, asset differentiation, and comparative effectiveness analyses.

* Apply established data science and statistical methods to real‑world data sources to address prioritized scientific and development questions.

* Collaborate with Disease Area Strongholds, Compound Development Teams, and cross‑functional partners to help ensure deliverables meet program evidence needs and timelines.

* Support project activities, including data fit‑for‑purpose assessment, protocol development, results documentation and interpretation, and stakeholder communication throughout the project life cycle.

* Provide methodological input within cross‑functional teams and escalate complex technical questions to senior colleagues as appropriate.

* Prepare analytical summaries, presentations, and written materials for review by internal stakeholders and governance forums.

* Contribute to scientific manuscripts, abstracts, and internal knowledge‑sharing activities based on clinical trial and real‑world analyses.

* Support external scientific collaborations by contributing to real‑world evidence deliverables under guidance from senior team members.

* Participate in cross‑functional initiatives that enhance data science, digital health, and real‑world evidence…