Job Description

Senior Principal Scientist, Real-World Evidence (RWE)

Johnson & Johnson Innovative Medicine is recruiting for R&D Data Science and Digital Health, Senior Principal Scientist, Real-World Evidence (RWE). This position has a primary location of Titusville, NJ but is also open to Spring House, PA; Cambridge, MA; or La Jolla, CA.

Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Our research and development areas span oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. Our goal is to help people live longer, healthier lives. For more information, visit Janssen at

Responsibilities

• Be a hands-on technical leader, leading a portfolio of RWE projects while instituting best practices, developing common technical tools, and fostering a data-driven culture to accelerate, scale, and productionalize deliverables; mentor peers in adopting technical best practices and common tools.
• Identify common technical requirements for RWE projects, and develop and maintain a common suite of tools to accelerate delivery and scale deliverables.
• Provide end-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation.
• Deliver thought leadership and hands-on programming for developing, adapting, and delivering Real-World Data (RWD) methodologies to mitigate bias and confounding in comparative analyses, time-to-event analyses, external control arm studies, hybrid control arm studies, and retrospective/prospective study designs.
• Lead generation of RWE or secondary evidence from post-hoc RCT analyses, observational databases, and literature reviews to support regulatory agency interactions.
• Independently create study protocols, statistical analysis plans, and statistical programming deliverables including analysis-ready data, tables, and figures, implementing best practices across the team.
• Develop pipelines, functions, and packages to perform frequently used actions and deliverables across a broad group of stakeholders.
• Partner with Data Science Therapeutic Area scientists to conceptualize, lead, shape, and deliver Real World Evidence and advanced analytics solutions for prioritized use cases, taking ownership of one or more disease-area evidence-generation teams.

Required Qualifications

• Ph.D. or Masters degree in a quantitative field (e.g., epidemiology, statistics, biostatistics, or similar).
• At least 5 years of relevant experience in start-up, technology, biopharma, or healthcare, or highly relevant academic experience (case-by-case).
• Hands-on experience with data engineering and exploratory data analysis, statistical modeling, time-to-event analyses, and causal inference methods to mitigate observed and residual confounding (e.g., propensity score matching/weighting, instrumental variables, state transition models).
• Experience with multiple real-world data sources (EHR, insurance claims, registry data); familiarity with clinical trial data structure and programming.
• Excellent interpersonal, communication, and presentation skills.
• Experience with database programming and statistical languages (expert proficiency in R or Python; working proficiency in SAS and SQL).
• Demonstrated experience as a technical lead in developing, testing, and maintaining technical frameworks for RWE analyses.
• Extensive knowledge of RWE Common Data Models (OMOP, FHIR, i2b2) and analysis frameworks (OHDSI, pharmaverse).

Preferred Qualifications

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

Compensation and Benefits

The anticipated base pay range for this position is $137,000 - $235,750.

• Employees may participate in the companys benefits programs as described in pay transparency notes.

Equal Opportunity

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status, or other characteristics protected by law. We are committed to inclusive recruitment and accommodation for applicants with disabilities upon request.

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