Senior Principal Scientist, Real-World Evidence (RWE)

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

Job Category:

Scientific/Technology

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Johnson & Johnson Innovative Medicine is recruiting for R&D Data Science and Digital Health, Senior Principal Scientist, Real-World Evidence (RWE).  This position has a primary location of Titusville, NJ but is also open to Spring House, PA; Cambridge, MA; or La Jolla, 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 R&D Data Science RWE 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:  

• Be a hands-on technical leader, leading a portfolio of RWE projects while instituting best practices, and developing common technical tools, crafting a data-driven culture, of accelerating, scaling and prodcutionalizing deliverables while mentoring and educating peers 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, programming, and interpretation. 

• Provide thought leadership and hand-on programming 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 hand-on programming expertise to generating RWE or secondary evidence from post-hoc RCT analyses, observational databases, and literature