.Johnson & Johnson Innovative Medicine is recruiting for R&D Data Science and Digital Health, Real-World Evidence (RWE) Statistics leader Preferred Location.Raritan / Titusville, NJ; Cambridge, MA; or Spring House, PA.May consider remote work.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.The Data Science 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 an outstanding scientist and leader whose responsibilities include:Being 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 productionalizing deliverables while mentoring and educating peers in the adoption of technical best practices and common tools.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.End-to-end expertise in RWE studies including conceptualizing the research questions, data feasibility, study design, analysis, programming, and interpretation.Providing thought leadership and hands-on programming expertise for developing, adapting, and delivering Real-World Data (RWD) methodologies.Independently creating study protocols, statistical analysis plans, and statistical programming deliverables.Partnering with the Data Science Therapeutic Area scientists to conceptualize, lead, shape, and deliver Real World Evidence, and advanced analytics solutions.Qualifications:A Ph.D. or master's degree in a quantitative field (e.G., epidemiology, statistics, biostatistics, or similar).At least 5 years of relevant experience within start-up, technology, biopharma, or healthcare industries, or highly relevant academic experience.Extensive hands-on experience with data engineering and exploratory data analysis, statistical modeling, time-to-event analyses, comparative effectiveness analyses, and causal inference methods.Demonstrated expertise with multiple real-world data sources (EHR, insurance claims, registry data).Excellent interpersonal, communication, and presentation skills.Extensive experience with database programming and use of statistical programming languages including expert proficiency in either R or Python, with working proficiency in SAS and SQL.Demonstrated experience as a technical lead in developing, testing, and maintaining technical frameworks for RWE analyses.Preferred qualifications:Familiarity with drug discovery and the clinical development process