Principal Data Scientist, Real World Evidence (RWE)

Role Summary

Principal Data Scientist, Real World Evidence (RWE) leads development of RWE studies and insights to support clinical programs and regulatory submissions across Oncology, Immunology, or Neuroscience. Works with strategic partners in R&D Data Science and Digital Health, as well as multidisciplinary teams within Innovative Medicine, to develop and implement evidence to improve patient outcomes and enhance clinical development. The primary location for this position is flexible – Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA.

Responsibilities

• Contribute to the development of a portfolio of RWE projects 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
• End-to-end experience in RWE studies including conceptualizing the research questions, data feasibility, study design, analysis, programming, and interpretation
• Analyze and interpret data to support urgent requests from internal and external stakeholders
• Ensure quality of design, execution, and publication of real-world evidence studies, and quality of models & tools
• Create study protocols, statistical analysis plans, and statistical programming deliverables
• Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making
• Ensure RWE generation aligned with regulatory requirements and scientific standards

Qualifications

• Required: A Ph.D. degree, or master’s degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, or similar)
• Required: Relevant experience (2+ years for Ph.D., 4+ years for a master’s) within biopharma companies, RWE consulting firms, or other relevant healthcare industries
• Required: Extensive hands-on experience with data engineering and data analysis
• Required: Proven track record of consistently delivering on high impact data science projects
• Required: Expert proficiency in R and SQL
• Required: Excellent interpersonal, communication, and presentation skills
• Preferred: Experience delivering on Data Science projects using predictive technologies as machine learning/deep learning, or forecasting
• Preferred: Familiarity with and exposure to drug discovery and clinical development processes with one or more of the following therapeutic areas: oncology, immunology, neuroscience, or specialty ophthalmology