Director, R&D Data Science, Data Products - Oncology

Role Summary

Director, R&D Data Science, Data Products – Oncology. 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. Ensure Oncology data assets are standardized, productized, and integrated into Janssen’s enterprise R&D data ecosystem.

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 scalability, interoperability, and reusability 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.
• Collaborate with Oncology Data Science, clinical, translational, and commercial Oncology stakeholders to co-create solutions that maximize the value of Oncology data assets.
• Interface with regulatory and compliance teams to ensure Oncology data products meet global standards.
• 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.
• Ensure Oncology data is transformed into trusted, AI-ready products that accelerate discovery, improve trial design and execution, and strengthen regulatory readiness.

Qualifications

Education

• PhD or Master’s in informatics, computer science, life sciences or related discipline.

Skills & Expertise

• 8+ years of experience in pharma/biotech R&D with a focus on data product development and delivery, or data science. Oncology focus is a plus.
• Strong track record in data product development, data integration, or semantic modeling within a TA or domain-specific context.
• Experience with multi-modal Oncology data, including omics, imaging, translational, clinical trial, and RWE data.
• Deep knowledge of data products, database design, and data transformation/mapping.
• Oncology research, clinical trial design, and regulatory data requirements is a plus.
• Familiarity with metadata management, ontologies, knowledge graphs, and industry data standards (e.g., CDISC, GA4GH).
• Strong leadership, collaboration, and communication skills with ability to translate technical strategy into business/science value.
• Demonstrated ability to influence stakeholders and drive adoption of new data capabilities across a complex organization.

Additional Requirements

• Travel up to 25% as needed.