Hybrid Senior Principal Data Scientist, Real World Evidence

at OneTrust

• Job title: Senior Principal Data Scientist, Real World Evidence
• Job type: Full Time
• Experience level: Senior
• Salary: $137,000 - $235,750 per year
• Degree requirement: Postgraduate Degree
• Tech skills: SQL
• Location requirements: Hybrid, Titusville, United States

About the role

• Senior Principal Data Scientist leading RWE projects at Johnson & Johnson. Collaborating with interdisciplinary teams to improve patient outcomes in innovative medicine.

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

Requirements

• A Ph.D. degree, or master’s degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, or similar)
• Relevant experience (4+ years for Ph.D., 6+ years for a master’s) 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.

Benefits

• medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
• Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
• Vacation – up to 120 hours per calendar year
• Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year
• Holiday pay, including Floating Holidays – up to 13 days per calendar year
• Work, Personal and Family Time - up to 40 hours per calendar year