Vice President - R&D Data Sciences, Real-World ...

Job Description - Vice President - R&D Data Sciences, Real-World Evidence Analytics & Insights (2506234549W) Vice President - R&D Data Sciences, Real-World Evidence Analytics & Insights - 2506234549W Description Johnson & Johnson Innovative Medicine is recruiting for Vice President - R&D Data Sciences, Real-World Evidence Analytics & Insights. This position can be based in Titusville, NJ; New Brunswick, NJ; Cambridge, MA; Springhouse, PA; or San Diego, CA. 25% Domestic Travel Required. The Data Science and Real World Evidence Digital Health Analytics & Insights team within Johnson and Johnson Innovative Medicines develops innovative insights and solutions, with an emphasis on building data resources and providing portfolio-growing insights that enable the next generation of therapies to patients in need across multiple disease areas. We are looking for an outstanding, executive Real World Evidence Leader whose responsibilities include: Leading and mentoring a large multidisciplinary team of Data Science Real World Evidence Analytics and Insights Directors and Scientists. This role will develop and execute strategy with a focus on key priorities, building a roadmap to deliver projects from data feasibility, study design and analysis, to final presentation to senior cross-functional leaders. Partnering with the Data Science Therapeutic Area leaders to identify, conceptualize, lead, shape and deliver Real World Evidence solutions to Johnson and Johnson Innovative Medicine's R&D portfolio. This will require a wide range of methodologies and advanced analytics to deliver large strategic and complex projects in a timely manner. Partnering with peers in the evidence generation ecosystem within R&D and the broader enterprise, comprised of but not limited to Global Epidemiology, Biostatistics & Quantitative Sciences, Pharmacometrics, Global Commercial RWE and more. Being a hands-on technical leader, instituting appropriate governance, best practices, and developing common technical tools. Crafting a data-driven culture, accelerating, scaling and productionalizing deliverables so the team can deliver RWE solutions at scale. Providing organizational leadership in the adoption of RWE solutions for R&D. This will require advocating to Global Regulatory, Therapy Area and Data Science leadership for the appropriate use of RWD in R&D Trial planning, regulatory submission and in a post approval setting. Conceptualizing and leading the development of novel methodology to quantify and mitigate biases found in RWD, enabling usage for a wide variety of applications, such as hybrid trial control arms, external control arms. Supporting external communication of RWE solutions, such as regulatory agency interactions and external publications. Directly managing and overseeing operational efficiencies to deliver RWE solutions at scale, identifying common technical requirements for RWE projects, and developing a common suite of tools that enables RWE data scientists to accelerate delivery and scale common deliverables. Qualifications A Ph.D. degree, or master's degree in a quantitative field (e.g., epidemiology, statistics, biostatistics, or similar). At least 12 years of relevant experience within pharmaceutical, technology, or biopharma. Experience in generating HTA- and regulatory-grade evidence, communicating and responding to agency reviews and comments. At least 5 years direct people leadership experience and leading other people managers in the area of RWE or closely related field. A proven track record of working in a multifunctional/matrixed organizational environment with clinical, regulatory and statistical teams. Extensive hands-on experience with statistical modeling, time-to-event analyses, comparative effectiveness analyses, causal inference methods to mitigate observed and residual confounding. Demonstrated expertise with multiple real-world data sources (EHR, insurance claims, registry data). Excellent interpersonal, communication and presentation skills. Experience with and a broad understanding of database programming and use of statistical programming languages including expert proficiency in either R or Python and working proficiency in SAS and SQL. Preferred qualifications: Expertise in externally controlled studies in drug development. At Johnson & Johnson, we're on a mission to change the trajectory of health for humanity. That starts by creating the world's healthiest workforce. Through cutting-edge programs and policies, we empower the physical, mental, emotional, and financial health of our employees and the ones they love. The anticipated base pay range for this position is 212000 to 391000. Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin or protected veteran status and will not be discriminated against on the basis of disability. #J-18808-Ljbffr

Created: 2025-03-01