Director, R&D Data Science & Digital Health, RWE & Advanced Analytics

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 jnj.com As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world.  We provide an inclusive work environment where each person is considered as an individual.  At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: About Innovative Medicine 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 Johnson & Johnson Innovative Medicine is recruiting for Director, R&D Data Science & Digital Health, Real-World Evidence (RWE) Advanced Analytics. The Real-world Evidence & Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for an outstanding scientist and leader who provides cross therapeutic area RWE expertise and whose responsibilities include: Independently lead, manage, and mentor a multidisciplinary team of RWE 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. Be a hands-on scientific and technical leader, lead a portfolio of RWE projects, and develop best practices and a common suite of tools that enable RWE data scientists to accelerate project delivery. Provide end-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation. Provide scientific leadership in developing and applying Real-World Data (RWD) methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc. Provide thought leadership to generate actionable insights from historical trial data, observational databases, and literature reviews to support regulatory agency interactions. Independently create study protocols, analysis plans, and statistical programming deliverables including analytical dataset, tables and figures Required qualifications: A Ph.D. degree in epidemiology or biostatistics Good coding skills using R At least 8 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries At least 5 years of experience as a people manager Extensive hands-on experience with data analysis and statistical methods to mitigate confounding and selection biases Expertise with multiple real-world data sources (EHR, insurance claims, registry data); familiarity with clinical trial data structure Excellent interpersonal, communication and presentation skills Preferred qualifications: Expertise in drug development and experience working in a