Director, Data, Data Science and Artificial Intelligence – Oncology / Prostate Cancer
Cambridge, Massachusetts, United States of AmericaAll locationsCambridge, Massachusetts, United States of AmericaNew Brunswick, New Jersey, United States of AmericaRaritan, New Jersey, United States of AmericaTitusville, New Jersey, United States of AmericaSpring House, Pennsylvania, United States of AmericaSan Diego, California, United States of AmericaNew Brunswick, NJ On-site
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About the role
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 Johnson & Johnson Innovative Medicine is recruiting for a Director, Data, Data Science and Artificial Intelligence – Oncology / Prostate Cancer to join the J&J Research and Development Data, Data Science, and AI (DDSAI) team. You will report to the Head of Solid Tumor Oncology, DDSAI. This position can be located in either New Brunswick, NJ; Spring House, PA; Titusville, NJ; Raritan, NJ; San Diego, CA ; or Cambridge, MA. (No remote option.) You will work with cross-functional collaborative teams to transform Oncology clinical trials through cutting-edge AI, digital health technologies, and advanced statistical methodologies. You will be a thought leader within Johnson & Johnson -- driving strategic collaborations, championing innovation, and elevating Data Science capabilities in the Oncology Therapeutic Area. The successful candidate will lead multidisciplinary teams, manage internal and external partnerships, and provide technical expertise to enhance R&D success and patient impact.
What you'll bring
- 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
- Working knowledge of genitourinary clinical oncology
- Hematology/ Oncology fellowship training
- R&D Experience at a pharmaceutical company, biotech or partner organization