Senior Principal Data Scientist, Real World Evidence (RWE) Full-time

Senior Principal Data Scientist, Real World Evidence (RWE)

Johnson & Johnson Innovative Medicine R&D Data Science and Digital Health is recruiting for a Senior Principal Data Scientist, Real World Evidence (RWE). The primary location for this position is flexible – Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA. May consider remote on a case by case basis.

J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. To learn more about Johnson & Johnson Innovative Medicine visit innovativemedicine.jnj.com.

The R&D Data Science & Digital Health, Real-World Evidence (RWE) team at J&J Innovative Medicine is dedicated to developing innovative evidence solutions and critical insights through diverse data sources, including RWD, trial data and emerging innovative data sources, to support clinical programs and regulatory decision-making. The Senior Principal Data Scientist will collaborate closely with strategic partners in R&D Data Science and Digital Health, as well as multidisciplinary teams within J&J Innovative Medicine, to develop and implement evidence and insights to improve patient outcomes and accelerate clinical development in Oncology, Immunology, or Neuroscience.

Key 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.

Required Qualifications:

• 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.

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.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.

Required Skills: Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility.

Preferred Skills: Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility.

The anticipated base pay range for this position is $137,000 – $235,750. Additional Description for Pay Transparency: Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: 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)). Employees are eligible for the following time off benefits: – 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. Additional information can be found through the link below.