Principal Data Product Scientist, DDSAI Immunology

Job Function

Data Analytics & Computational Sciences

Data Science

Scientific/Technology

• Cambridge, Massachusetts, United States of America
• Raritan, New Jersey, United States of America
• San Diego, California, United States of America
• Spring House, Pennsylvania, United States of America
• Titusville, New Jersey, United States of America

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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As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Johnson & Johnson Innovative Medicine is recruiting for a Principal Data Product Scientist, DDSAI Immunology to join our Immunology R&D Data, Data Science & Artificial Intelligence (DDSAI) team and to enable and scale high‑value data assets across Immunology Research & Development. This position will be located on site at one of our offices in either Spring House PA, Cambridge MA, Titusville NJ, Raritan NJ, or San Diego CA (NO fully remote option available).

The Principal Data Product Scientist will operate at the intersection of Immunology scientific teams, data scientists, data engineering/platform teams, and external data partners. The focus is on translating business and scientific needs to enable effective execution of analytics, modeling, and AI‑enabled research. The role emphasizes data needs management, gap identification, data governance, and cross‑functional execution, with responsibility for ensuring progress against known gaps while surfacing new and emerging data opportunities.

• Partner with Immunology leadership and analytics teams to translate data gaps into clearly defined data opportunities and business needs, in coordination with the Data Strategy and Products team
• Support strategic prioritization by assessing impact, feasibility, readiness, and dependencies associated with new data initiatives.

• Act as a data product owner for priority Immunology datasets, defining scope, quality expectations, documentation requirements, refresh cycles, and success metrics.
• Work with Immunology scientists and data scientists to translate scientific questions into concrete data requirements, ensuring datasets are fit‑for‑purpose and reusable.
• Ensure datasets are well‑curated, discoverable, traceable, and compliant with internal standards for analytics, modeling, and AI/ML applications.

• Possess working knowledge of the end‑to‑end data engineering lifecycle, including Data Transfer Agreements (DTA), data access provisioning, data pipelines, harmonization and standardization, anonymization and privacy controls.
• Interface between Immunology R&D stakeholders and data engineering/platform teams, enabling clear communication of requirements, constraints, and dependencies.
• Align data needs with platform capabilities, ensuring that Immunology datasets are integrated, governed, and scalable within enterprise data environments.

• Coordinate data procurement activities across internal sources and external partners (e.g., RWD vendors, academic collaborators, technology partners).
• Collaborate with Legal, Procurement, Privacy, and Compliance to support data use documentation, contracting, licensing, and governance controls.
• Act as a key operational point of contact for external data partners, managing delivery expectations, refresh…