Director, Oncology Enterprise Data Science, R&D Oncology Data Science & Digital Health

Position Overview

At Johnson & Johnson Innovative Medicine, we are recruiting for a Director, Oncology Enterprise Data Science to design, build, and govern a technology backbone that connects data and delivers AI‐based solutions across the pharmaceutical life cycle. In this role, you will translate business needs into strategic and tactical plans for enterprise AI solutions in Oncology R&D, working closely with governance, knowledge management, and domain experts. You will be a creative problem solver driving scientific insights and innovation in a dynamic, multidisciplinary environment.

Primary locations include New Brunswick, NJ; Spring House, PA; Cambridge, MA; Raritan, NJ; Titusville, NJ; and La Jolla, CA, among other JRD locations.

Key Responsibilities

• Collaborate with Data Science and Oncology R&D leaders to convert AI-based opportunities into actionable research plans, including study design and technology execution.
• Deliver AI solutions across diverse data domains for the R&D pipeline, including discovery, translational, and clinical trial data.
• Contribute to the enterprise AI strategy and support the scaling and deployment of tools for the broader R&D community.
• Work with multidisciplinary teams to develop ontology modules, master/reference data, analytics, and AI/LLM applications for Oncology R&D.
• Participate in standardizing biomedical data across R&D to enhance AI readiness and drive data interoperability.
• Evaluate external partnerships to access cutting-edge technologies applied to diverse R&D data sets.

Required Qualifications

• Desired Ph.D. or master's degree in bioengineering, computer science, IT, bioinformatics, or related fields with an emphasis on biomedical applications.
• 5+ years of experience delivering data-rich, computational solutions to address scientific challenges in healthcare.
• Solid foundation in machine learning and AI, with experience in NLP, LLM, and generative models.
• Familiarity with key technologies for AI project execution, including version control (git), technology stacks, and DevOps tools.
• Experience with large-scale knowledge graph construction, ontology development, and integration within pharmaceutical or healthcare domains.
• Strong analytical, problem-solving, and project delivery skills, including managing external vendors.
• Proven track record in leading technology initiatives with multidisciplinary and remote teams.
• Excellent stakeholder management with the ability to translate discussions into clear requirements and project plans.
• Willingness to travel periodically (<15% of time) for conferences and meetings.

Preferred Qualifications

• Advanced Analytics
• Budget Management
• Compliance Management
• Critical Thinking
• Data Analysis
• Data Privacy Standards
• Data Quality
• Data Reporting
• Data Savvy
• Data Science
• Data Visualization
• Developing Others
• Digital Fluency
• Inclusive Leadership
• Leadership
• Program Management
• Strategic Thinking
• Succession Planning

Benefits & Perks

• Compensation: Anticipated base pay range of $164,000.00 - $282,900.00.
• Retirement & Savings: Eligibility to participate in the Company's consolidated retirement (pension) and savings plan (401(k)).
• Long-Term Incentives: Participation in the Company's long-term incentive program.
• Time Off Benefits: Vacation (120 hours/year), Sick time (40-56 hours/year depending on location), Holiday pay (13 days/year), Work/Personal/Family Time (up to 40 hours/year), Parental Leave (480 hours within one year), Bereavement Leave (240 hours for immediate family; 40 hours for extended family), Caregiver Leave (80 hours in a 52-week period), Volunteer Leave (32 hours/year), and Military Spouse Time-Off (80 hours/year).
• For additional benefit information, please visit: https://www.careers.jnj.com/employee-benefits