Johnson and Johnson Innovative Medicine (J&J IM) is seeking a Director, R&D Data Science, Data Products – Oncology to lead the strategy, design, and delivery of user-centric, reusable data products that enable advanced analytics, data science, and AI/ML solutions across the Oncology Therapeutic Area (TA). This role aims to ensure high-value internal and external Oncology data assets are standardized, productized, and integrated into the enterprise R&D data ecosystem to accelerate discovery, improve trial design and execution, and strengthen regulatory readiness.
Requirements
- 8+ years of experience in pharma/biotech R&D with a focus on data product development and delivery, or data science.
- Strong track record in data product development, data integration, or semantic modeling within a TA or domain-specific context.
- Experience working with multi-modal Oncology data, including omics, imaging, translational, clinical trial, and RWE data.
- Deep knowledge of data products, database design, data transformation/mapping.
- Familiarity with metadata management, ontologies, knowledge graphs, and industry data standards (e.g., CDISC, GA4GH).
- PhD or Master’s in informatics, computer science, life sciences or related discipline.
- Oncology research, clinical trial design, and regulatory data requirements is a plus.
Responsibilities
- Lead a team to develop technical requirements for Oncology-facing data products.
- Define and maintain a roadmap for Oncology data products, spanning discovery, translational research, clinical development, and real-world evidence.
- Develop data products through, agile delivery, and FAIR data principles to ensure products are scalable, interoperable, and reusable across Janssen and partner functions.
- Deliver integration of internal and external Oncology data sources (e.g., clinical trial data, genomics/omics, competitor intelligence, registry and RWE datasets).
- Contribute to the development and governance of an Oncology Ontology to enable semantic consistency across discovery, clinical, regulatory, and real-world data.
- Align Oncology Ontology with enterprise metadata standards and external frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus).
- Partner with Knowledge Management, Data Product Architecture & Governance, and Master Data Management teams to ensure Oncology data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs.
Other
- Lead a cross-functional team of product owners, data engineers, and Oncology data domain experts aimed at delivering data products to Oncology.
- Establish and implement governance models, agile delivery processes, and value-tracking metrics for Oncology data products.
- Define and track KPIs to measure the impact of Oncology data products on scientific insights, trial efficiency, and regulatory outcomes.
- Communicate vision, roadmap, and value realization to Oncology leadership, data science teams, and executive stakeholders.
- Champion data literacy and adoption within the Oncology TA.
