Johnson and Johnson Innovative Medicine (J&J IM) is seeking a Senior Director, R&D Data Science & Digital Health – Oncology, Cell Therapy to direct and lead innovative approaches in Data Science for late-stage Oncology Clinical Development Teams (CDTs), with a focus on the cell therapy portfolio. This role aims to identify and deliver Data Science capabilities to achieve CDT goals in a value-driven manner, foster a data-driven culture, and serve as a thought leader in applying advanced analytics to drug development.
Requirements
- Advance degree in Health Science (Ph.D or MD) or Masters Degree, Pharm D with equivalent work experience with high-dimensional data sets.
- A background in computational research, pharmaco-epidemiology, statistics, outcomes research or related field in health care area.
- 10+ years of health-care related research, such as disease/clinical phenotyping, clinical genomics, outcomes research
- Strong working knowledge of drug development, with established expertise with multiple components of drug development, such as translational research, clinical studies, or regulatory interactions.
- Working knowledge of advanced analytic methods, such as statistical modeling, biostatistics, machine learning, and/or other relevant techniques.
- Familiarity with healthcare relevant datasets, such as EHR/RWD, genomics, insurance claims
- Experience with Oncology research, notably novel cell therapies.
Responsibilities
- direct and lead efforts to bring innovative approaches to the use of Data Science late stage Oncology Clinical Development Teams (CDTs) with a specific focus on the cell therapy portfolio.
- serve as the Data Science Lead for clinical-stage cell therapy programs, such as Carvykti.
- identify and deliver Data Science capabilities to achieve CDT goals in a value-driven manner.
- be a thought leader within Johnson & Johnson R&D in the field of applied use of advanced analytics methodologies (e.g. statistical modeling, AI/Machine Learning) in the drug development process for areas such as immune cell profiling and clinical phenotyping.
- identify novel applications for advanced analytics and high dimensional data in the drug development process, such as identifying, procuring and curating suitable data sets, designing elegant analytic solutions and organizing diverse teams to execute analytic efforts.
- partnering with cross functional Compound Development Teams for clinical-stage cell therapy in building and implementing Data Science plans to support clinical/research objectives throughout the drug development lifecycle.
- Develop data, analytic and reporting requirements for Data Science-related projects for the CDTs.
Other
- This position will require up to 25% travel.
- Established leadership skills, including management of individuals and teams working towards common clinical/scientific goals
- Prior experience working and driving external partnerships, either corporate or academic
- Ability to effectively communicate technical work to a wide audience.
- Prior experience serving on multifunctional teams delivering clinical trials in an R&D or Medical Affairs setting.
