Hybrid Senior Director, Oncology Data – AI Systems

at Johnson & Johnson

• Job title: Senior Director, Oncology Data – AI Systems
• Job type: Full Time
• Experience level: Senior
• Salary: $196,000 - $342,700 per year
• Degree requirement: Postgraduate Degree
• Location requirements: Hybrid, Spring House, United States

About the role

• Senior Director of Oncology Data & AI Systems leading a team to develop technical AI solutions for Oncology. Responsible for delivering impactful data products for R&D across multiple locations in the US.

Responsibilities

• Lead a team to develop technical requirements for Oncology-facing data products that enable AI applications.
• Attract, upskill and retain top talents in the field, manage a technical team, and collaborate with key stakeholders in R&D, DSDH, and JJT.
• Define and maintain a roadmap for Oncology data products, spanning discovery, translational research, clinical development, and real-world evidence.
• Partner with Knowledge Management, Data Platforms & Governance, and Master Data Management teams to ensure Oncology data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs.
• In close partnership & lead a team that works with key business partners, externally source, engineer, develop and deploy impactful and scalable AI solutions for Oncology.
• Contribute to the development and governance of an Oncology Ontology to enable semantic consistency across discovery, clinical, regulatory, and real-world data.
• Establish and work with governance models, agile delivery processes, and value-tracking metrics for Oncology data products and AI tools.
• Champion data literacy and adoption within the Oncology TA.

Requirements

• Advanced degree (PhD) in disciplines such as Computer Science, AI/ML, Engineering, Biomedical engineering, Applied Mathematics or similar.
• Minimum of 10 years of post-academic, industry, or equivalent experience.
• Experience with diverse, high dimensional data sets, such as multi-modal Oncology data, including omics, imaging, translational, clinical trial, and RWE data.
• Extensive experience in creating scalable and impactful data-driven solutions, including managing their full life cycle (design, development, testing, deployment, operations & maintenance, etc.).
• Strong experience in people leadership, and ability to work in a matrixed organization.
• Deep knowledge of data products, database design, data transformation/mapping.
• Excellent communication skills and strategic thinking capabilities.

Benefits

• medical
• dental
• vision
• life insurance
• short- and long-term disability
• business accident insurance
• group legal insurance
• pension plan (retirement plan)
• 401(k)
• Vacation – up to 120 hours per calendar year
• Sick time - up to 40 hours per calendar year
• Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year