Johnson & Johnson is looking to solve the problem of bringing innovative approaches to the use of Data Science in late stage Oncology Clinical Development Teams with a specific focus on the cell therapy portfolio.
Requirements
Advance degree in Health Science (Ph.D or MD) or Masters Degree, Pharm D with equivalent work experience with high-dimensional data sets.
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
Capacity to manage timelines and drive key deliverables in a matrix environment.
Established leadership skills, including management of individuals and teams working towards common clinical/scientific goals
Responsibilities
Be responsible for 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.
Data Science applications will include Real-World Evidence, cell profiling, clinical phenotyping, computer vision/medical imaging that leverage technologies such as statistical methodologies, AI/Machine learning techniques (e.g. Generative AI).
Actively manage and communicate Data Science plans for CDTs.
Develop data, analytic and reporting requirements for Data Science-related projects for the CDTs.
Identify and procure data sets and technologies for bespoke applications.
Work with clinical and Data Science teams and external partners to execute analytics and report results.
Communicate and interpret scientific results, as well as project implications of Data Science research.
Other
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.
