Senior Director, R&D Data Science and Digital Health, Real-World Evidence and Advanced Analytics

Johnson & Johnson Innovative Medicine is recruiting for R&D Data Science, Real-World Evidence (RWE) Programming and Tools.

This position has a primary location of Titusville, NJ but is also open to Springhouse, PA; Boston, MA; San Diego, CA; and San Francisco, CA.

Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide.

Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience.

Our goal is to help people live longer, healthier lives.

We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals.

To learn more about Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine.

The Data Science and Digital Health Analytics & Insights team within Johnson and Johnson Innovative Medicines develops innovative insights and solutions bringing to bear a variety of different data sources across multiple disease areas.

We are looking for outstanding scientist and leader whose responsibilities include:

• Independently lead, manage, and mentor a large multidisciplinary team of Data Science Real World Evidence Analytics and Insights scientists to influence strategy and execute on the priorities, building a roadmap to deliver the projects from data feasibility, study design and analysis, to final presentation to senior cross-functional leaders.

• Partner with the Data Science Therapeutic Area leaders to conceptualize, lead, shape and deliver Real World Evidence, and advanced analytics solutions and insights for prioritized use cases.

Also, drive large strategic and complex projects to achieve the intended impact in a timely manner.

• Be a hands-on technical leader instituting best practices, and developing common technical tools, while crafting a data-driven culture, of accelerating, scaling and productioninzing deliverables while mentoring and educating the RWE and advanced analytics team in the adoption of technical best practices and common tools.

• Identify common technical requirements for RWE projects, develop and maintain a common suite of tools that enables RWE data scientists to accelerate delivery and scale common deliverables.

• End-to-end expertise in RWE studies including conceptualizing the research questions, data feasibility, study design, analysis, and interpretation.

• Provide thought leadership and hand-on expertise for developing, adapting and delivering Real-World Data ("RWD") methodologies to mitigate observed and unobserved bias and confounding in the execution of comparative effectiveness analyses, time-to-event analyses, external control arm studies, hybrid control arm studies, retrospective and prospective study designs.

• Provide thought leadership and...