At Johnson & Johnson Innovative Medicine, the Director, R&D Data Science, Data Products – Neuroscience is responsible for leading the strategy, design, and delivery of user-centric, reusable data products that enable advanced analytics, data science, and AI/ML solutions across the Neuroscience Therapeutic Area (TA). This role ensures that high-value internal and external Neuroscience data assets are standardized, productized, and integrated into Janssen’s 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 Neuroscience 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).
- Neuroscience research, clinical trial design, and regulatory data requirements is a plus.
- A focus on Neuroscience is a plus.
Responsibilities
- Lead a team to develop technical requirements for Neuroscience-facing data products
- Define and maintain a roadmap for Neuroscience 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 Neuroscience data sources (e.g., clinical trial data, genomics/omics, competitor intelligence, registry and RWE datasets).
- Contribute to the development and governance of a Neuroscience Ontology to enable semantic consistency across discovery, clinical, regulatory, and real-world data.
- Align Neuroscience 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 Neuroscience data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs.
Other
- Lead a cross-functional team of product owners, data engineers, and Neuroscience data domain experts aimed at delivering data products to Neuroscience.
- Establish and implement governance models, agile delivery processes, and value-tracking metrics for Neuroscience data products.
- Define and track KPIs to measure the impact of Neuroscience data products on scientific insights, trial efficiency, and regulatory outcomes.
- Communicate vision, roadmap, and value realization to Neuroscience leadership, data science teams, and executive stakeholders.
- Champion data literacy and adoption within the Neuroscience TA.
