Principal Data Scientist, Real World Evidence (RWE)

Role Summary

The Principal Data Scientist, Real World Evidence (RWE) will develop innovative real-world evidence solutions and critical insights to support clinical programs and regulatory submissions in Oncology, Immunology, or Neuroscience. The role collaborates with strategic partners in R&D Data Science and Digital Health and multidisciplinary teams within J&J Innovative Medicine to develop and implement evidence and insights 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

Education

• Ph.D. degree, or master’s degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, or similar)