Senior Principal Data Scientist, Real World Evidence (RWE)

Role Summary

Senior Principal Data Scientist, Real World Evidence (RWE) at Johnson & Johnson Innovative Medicine R&D Data Science and Digital Health. The Senior Principal Data Scientist will collaborate with strategic partners to develop and implement evidence and insights to improve patient outcomes and accelerate clinical development in Oncology, Immunology, or Neuroscience.

Responsibilities

• Be a hands-on technical leader, leading a portfolio of RWE projects while developing best practices and common technical tools
• Support the development of the R&D RWE strategy for the generation and utilization of RWE for our key pipeline assets
• End-to-end expertise in RWE studies (external control arm, novel endpoints, trial design optimization) including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation
• Assess treatment patterns and unmet needs using RWE to inform asset positioning
• Ensure RWE generation aligned with regulatory requirements and scientific standards
• Identify evidence opportunities and develop innovative evidence programs to support early development, registration, and post-marketing phases
• Shape the selection of real-world data sources, establish data quality standards, and ensure data robustness and relevance for clinical research
• Lead and develop junior researchers and programmers in executing strategies to develop RWE from concept through publication
• Support regulatory interactions and meetings with scientific data packages and expertise

Qualifications

• A Ph.D. degree, or master‚Äôs degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, or similar)
• Relevant experience (4+ years for Ph.D., 6+ years for a master‚Äôs) within biopharma companies, RWE consulting firms, or other relevant healthcare industries
• Extensive hands-on experience with data engineering and exploratory data analysis, statistical modeling, time-to-event analyses, comparative effectiveness analyses, causal inference methods
• Demonstrated expertise with multiple real-world data sources
• Expert proficiency in R and SQL
• Familiarity with data structure and programming of clinical trial data
• Strong communication and influencing skills, capable of inspiring teams and driving cross-functional alignment
• Highly motivated and intellectually curious, with strong executional rigor and a passion for solving complex challenges

Preferred Qualifications

• Familiarity with drug discovery and the clinical development process
• Expertise in oncology, Immunology or Neuroscience drug development
• Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments