Senior Director, R&D Data Science & Digital Health - Oncology, Cell Therapy

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science Portfolio Management

Job Category:

Professional

All Job Posting Locations:

Titusville, New Jersey, United States of America

Job Description:

Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Senior Director, R&D Data Science & Digital Health – Oncology, Cell Therapy.  The primary location for this position can be Titusville, NJ; Cambridge, MA; Spring House, PA, or La Jolla, CA.  This position will require up to 25% travel.

At J&J IM, what matters most is helping people live full and healthy lives. We focus on treating, curing and preventing some of the most devastating and complex diseases of our time. And we pursue the most promising science, wherever it might be found. J&J IM provides medicines for an array of health concerns in several therapeutic areas, including Oncology, Immunology, Neuroscience and Cardiovascular & Metabolism.

Please visit Please visit https://innovativemedicine.jnj.com/  for more information. for more information.

We are J&J IM. Our mission drives us. Our patients inspire us. We collaborate with the world for the health of everyone in it.

This role will 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.  In doing so, this position will serve as the Data Science Lead for clinical-stage cell therapy programs, such as Carvykti. Primary responsibilities are to identify and deliver Data Science capabilities to achieve CDT goals in a value-driven manner. Additional responsibilities include capability and talent development, resource management and deployment, and supporting an organizational culture that promotes data-driven decision-making across all functions of Johnson & Johnson Innovative Medicine – R&D Oncology.  You will 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.

Success in this role will entail identifying 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.   Broad knowledge of drug development, clinical trials and Data Science methodologies and technologies are important in achieving success. Creativity to invent and customize will be necessary.   

The Applicant will:

• 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.  This will include seeking and managing feedback with internal and external stakeholders and develop fit-for-purpose studies serving CDT objectives.
• Develop data, analytic and reporting requirements for Data Science-related projects for the CDTs. This will include both regulatory-grade and observational research.
• Identify and procure data sets and technologies for bespoke applications.  Manage external partnerships.
• Work with clinical and Data Science teams and external partners to execute analytics and report results. The candidate will be responsible for liaising with external partners including regulatory agencies. 
• The candidate will be responsible for communicating and interpreting scientific results, as well as projecting implicatio