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

Johnson & Johnson•Titusville, NJ

3d•Hybrid

About The Position

Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Director, R&D Data Science, Data Products – Oncology. This position has a primary location of Titusville, NJ but is also open to Spring House, PA or Cambridge, MA. The position will require up to 25% travel. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Position Summary The Director, Data Products – Oncology 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 Oncology Therapeutic Area (TA). This role ensures that high-value internal and external Oncology data assets—including preclinical, translational, clinical, competitive intelligence, and real-world data (RWD/RWE)—are standardized, productized, and integrated into Janssen’s enterprise R&D data ecosystem. Working closely with Data Science teams, Oncology TA scientific leaders, and the broader Data Strategy & Products organization, this leader ensures that Oncology data products fill business requirements, such as being AI ready, semantically consistent, and interoperable, enabling faster discovery, stronger evidence generation, and better regulatory outcomes. Strategic Impact The Director, Data Strategy & Products – Oncology TA is responsible to ensure Oncology data is transformed into trusted, AI-ready products that accelerate discovery, improve trial design and execution, and strengthen regulatory readiness. By embedding semantic rigor and aligning with enterprise data strategy, this role positions Oncology data as a strategic asset that drives scientific innovation and patient impact across Janssen R&D.

Requirements

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

Nice To Haves

A focus on Oncology is a plus.
Oncology research, clinical trial design, and regulatory data requirements is a plus.

Responsibilities

Data Product Strategy & Execution 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).
Ontology & Semantic Modeling 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).
Collaboration & Integration 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.
Team & Operating Model Leadership 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.
Value Realization & Communication 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.

Benefits

medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
Company’s consolidated retirement plan (pension) and savings plan (401(k)).
long-term incentive program.
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
Caregiver Leave – 10 days
Volunteer Leave – 4 days
Military Spouse Time-Off – 80 hours