Senior Principal Data Scientist, Real World Evidence (RWE)
Scorpion Therapeutics, WorkFromHome
Role Summary
Senior Principal Data Scientist, Real World Evidence (RWE) in Johnson & Johnson Innovative Medicine R&D Data Science and Digital Health. Primary location is flexible among Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA, with remote possibilities considered on a case-by-case basis.
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 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
- Required: A Ph.D. degree, or master’s degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, or similar)
- Required: Relevant experience (4+ years for Ph.D., 6+ 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 exploratory data analysis, statistical modeling, time-to-event analyses, comparative effectiveness analyses, causal inference methods
- Required: Demonstrated expertise with multiple real-world data sources
- Required: Expert proficiency in R and SQL
- Required: Familiarity with data structure and programming of clinical trial data
- Required: Strong communication and influencing skills, capable of inspiring teams and driving cross-functional alignment
- Required: Highly motivated and intellectually curious, with strong executional rigor and a passion for solving complex challenges
- Preferred: Familiarity with drug discovery and the clinical development process
- Preferred: Expertise in oncology, Immunology or Neuroscience drug development
- Preferred: Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments
Education
- Ph.D. or master’s degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, or similar)