Senior Director, Head of Hematology R&D Data Science & Digital Health

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:

Cambridge, Massachusetts, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, 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, Head of Hematology R&D Data Science & Digital Health.  This position has a primary location of Spring House, PA but is also open to Cambridge, MA; Titusville; NJ, Raritan, NJ; or New Brunswick, NJ.  The position requires 25% travel.

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  

This role will direct and lead efforts to deliver innovative end-to-end Data Science & Digital Solutions to the Oncology Hematology portfolio.  This will include both early and late stage pipeline assets.  This person will lead a team aimed at supporting the Clinical Development Teams (CDTs) with the full spectrum of Data Science capabilities, such as novel endpoints, real-world evidence, and digital diagnostics using AI/ML and other appropriate methods.  This role will lead clinical-stage therapies such as Darzalex, Tecvayli and Talvey. 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 Janssen R&D in the field of applied use of innovative methodologies in clinical trials.  

The Applicant will:

• Be responsible for leading a team of Data Scientists who partner with cross functional Compound Development Teams for clinical-stage hematologic cancers in building and implementing Data Science plans to support clinical/research objectives throughout the trial 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 a team to communicate Data Science plans for Compound Development Teams.  This will include seeking and managing feedback with internal and external stakeholders and developing 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 internal 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 implications of Data Science research.

Qualifications:

• Advance degree in Health Science (Ph.D or MD) or Masters Degree, Pharm D with equivalent work experience with data analysis, interpretation and experimental design.  A background in one or more of the following areas is beneficial: clinical oncology, computational research, pharmaco-epidemiology, statistics, outcomes research or related field