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

Johnson & Johnson

Director of Data, Data Science and AI for Oncology at Johnson & Johnson. Leading innovative Data Science approaches and collaborations in late-stage Prostate Cancer Development.

Posted 6/27/2026full-timeNew Brunswick • California, Massachusetts, New Jersey • 🇺🇸 United StatesLead💰 $164,000 - $282,900 per yearWebsite

About the role

Key responsibilities & impact

Serve as primary scientific and strategic business leader for clinical-stage Prostate Cancer Programs within Data, Data Science, and AI
Represent Data Science to Compound Team(s), where you will 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
With internal and external teams, leverage advanced analytics, including statistical models and AI/ML, to uncover insights from these 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

What you’ll need

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

Benefits

Comp & perks

medical
dental
vision
life insurance
short- and long-term disability
business accident insurance
group legal insurance
pension and savings 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
Work, Personal and Family Time - up to 40 hours per calendar year

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Hard Skills & Tools

data sciencemachine learningartificial intelligencebiostatisticspredictive technologiesdata miningclinical trial designreal-world evidence generationhigh-dimensional datasetsoutcomes research

Soft Skills

problem-solvingcommunicationinterpersonal skillswritten skillsleadershipstrategic thinkingcollaborationproject managementtime managementstakeholder engagement

Certifications

PhDMDPharmDMS