.Johnson & Johnson Innovative Medicine, R&D; Data Science and Digital Health team is recruiting for a Principal Data Scientist, Real World Evidence & Advanced Analytics (RWE & AA).
The primary location for this position is flexible – either; Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA.
J&J; Innovative Medicine develops treatments that improve the health of people worldwide.
Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology.
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.
The R&D; Data Science Analytics & Insights team within J&J; Innovative Medicine develops innovative solutions leveraging a variety of different data sources across multiple disease areas in support of key clinical programs.
Successful candidates will develop cutting-edge methodologies to develop RWD-based solutions to enable disease insights, improve patient outcomes, and enhance clinical development.The Principal Data Scientist will work closely with strategic partners within Data Science and Digital Health and multi-disciplinary teams within J&J; Innovative Medicine R&D; to develop and deploy cutting-edge solutions to our clinical programs.Key Responsibilities: Lead and contribute to the development of artificial intelligence/machine learning models in health and healthcare (e.G., disease identification, patient stratification, disease progression, clustering, simulations, forecasting) based on RWD that will provide key insights to our pipeline assets.Leverage emerging scientific and technological developments to generate new research ideas, solutions and initiatives using real-world data (electronic health records, clinical development data, insurance claims, registries, others).Deliver scalable machine learning solutions and insights to impact functions and therapeutic areas within R&D; and participate in cross-functional collaborations with internal scientific and data science teams, and external companies.Shape internal and external collaborations and define the scope of research questions.Closely partner with the Data Science Therapeutic Area (DSTA) and Therapeutic Area (TA) teams to execute on the priorities, building a roadmap to deliver the projects and present to senior cross-functional leaders.Be a hands-on technical leader among the Data Science team, helping institute best practices while crafting a data-driven culture, developing, and mentoring more junior members of the team.Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.Qualifications: A Ph.D. degree, or master's degree in a quantitative field (e.G