Director, Data, Data Science and Artificial Intelligence – Oncology / Prostate Cancer

About the role

The R&D Data, Data Science, and AI, Oncology Therapeutic Area team at J&Johnson Innovative Medicine is dedicated to developing innovative solutions and critical insights to support clinical programs and regulatory submissions. This Director role, sitting on the Solid Tumor Oncology team, will direct and lead efforts to bring innovative Data Science approaches to late-stage Oncology Compound Development Team(s) with a specific focus on the Prostate Cancer portfolio.

Responsibilities

• Direct and lead efforts to bring innovative Data Science approaches to late-stage Oncology Compound Development Team(s) with a specific focus on the Prostate Cancer portfolio.
• Work with cross-functional collaborative teams to transform Oncology clinical trials through cutting-edge AI, digital health technologies, and advanced statistical methodologies.
• Identify, develop and deploy Data Science solutions, including program and trial AI strategy to support clinical development.
• Provide subject matter expertise in prostate cancer clinical development, trial design, real-world evidence generation, and ML/AI tools.
• Leverage advanced analytics, including statistical models and AI/ML, to uncover insights from complex datasets.
• Work closely with individual clinical project teams as well as functional area partners in Regulatory Affairs, Medical Affairs, Clinical Development, Epidemiology, Commercial Data Science, Statistics, and others to deploy Data Science solutions.
• Evaluate and manage external partnerships that can leverage new technologies/solutions/data assets for Prostate cancer program needs.

Requirements

• Advanced degree (PhD, MD, PharmD or MS) in a field experienced working with high-dimensional datasets (e.g., Data Science, Pharmacoepidemiology, Biostatistics, Outcomes Research, Public Health, Computer Science).
• A minimum of 8 years experience in drug development or related discipline in the field of biotechnology, artificial intelligence, omics, or real-world evidence, or 8 years in clinical practice with outcomes research experience.
• Working knowledge of clinical oncology, such as treatment paradigms, patient experience, and clinical trials.
• An understanding of common data science research practices, such as predictive technologies, data mining and/or text mining.
• Hands-on experience with a range of data science use cases in R&D (e.g., ECAs, site selection algorithms) and strong problem-solving abilities.
• Experience working with healthcare-related datasets, such as electronic health records (EHR), omics, or imaging datasets, with an understanding of their structure, limitations and applications to research.
• Prior experience working and driving external partnerships, either corporate or academic.
• Proven track record of managing timelines and driving key deliverables in a matrixed organization.
• Excellent communication, interpersonal, and written skills.

Qualifications

• Working knowledge of genitourinary clinical oncology.
• Hematology/Oncology fellowship training.
• R&D Experience at a pharmaceutical company, biotech or partner organization.
• Knowledge of regulatory science.

Skills

• Advanced Analytics
• Business Case Modeling
• Consulting
• Data Privacy Standards
• Data Science
• Data Structures
• Digital Fluency
• Digital Strategy
• End to End Implementation
• Global Market
• Master Data Management (MDM)
• Negotiation
• Product Portfolio Management
• Quality Control (QC)
• Resource Planning
• Tactical Planning
• Technical Credibility

Benefits

Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).

Pay

The anticipated base pay range for this position is $164,000 to $282,900.

Schedule

This position may require up to 10% travel.