Director, Research Data Systems – AI-Ready R&D Data

Johnson & Johnson Innovative Medicine; Spring House (PA); On-site; USD 180,000 - 260,000; Full time

Job summary

Johnson & Johnson is seeking a Director, Research Data Systems to lead the data platform strategy across Innovative Medicines R&D. The role focuses on bringing fragmented data into a FAIR, governed environment to accelerate discovery, translational science, analytics, AI/GenAI, and scientific decision-making.

The position requires strong collaboration with lab informatics, data product owners, and governance teams to drive data readiness and scalable platforms across multiple research domains.

Qualifications

• Master’s degree or equivalent experience in Computer Science or Life Sciences.
• 10+ years of progressive technology leadership experience with relevant focus.
• Solid experience in research data platform engineering, scientific data architecture, laboratory informatics, or enterprise research data management.

Responsibilities

• Lead scalable research data ingestion, curation, and platforms covering onboarding, metadata enrichment, pipelines, orchestration, monitoring, and issue resolution.
• Define and operate FAIR frameworks, standards, thresholds, and executive reporting across priority data domains.
• Lead cataloging, metadata, ontology, lineage, and master data capabilities to improve findability, context, and interoperability.
• Partner with scientists, data owners, and technology teams to translate research strategy into scalable data solutions.

Skills

Cloud data platforms

Data governance

FAIR data principles

Executive stakeholder management

Leadership

Education

Master’s degree in Computer Science or Life Sciences

Job description

Johnson & Johnson is seeking a Director, Research Data Systems to lead the data platform strategy across Innovative Medicines R&D. The role focuses on bringing fragmented data into a FAIR, governed environment to accelerate discovery, translational science, analytics, AI/GenAI, and scientific decision-making.

The position requires strong collaboration with lab informatics, data product owners, and governance teams to drive data readiness and scalable platforms across multiple research domains.