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Senior Principal Data Scientist, Real World Evidence (RWE)
Senior Principal Data Scientist, Real World Evidence (RWE)Johnson & Johnson • San Diego, CA, US
Senior Principal Data Scientist, Real World Evidence (RWE)

Senior Principal Data Scientist, Real World Evidence (RWE)

Johnson & Johnson • San Diego, CA, US
18 days ago
Job type
  • Full-time
Job description

Senior Principal Data Scientist, Real World Evidence (RWE)

Join the

Senior Principal Data Scientist, Real World Evidence (RWE)

role at

Johnson & Johnson .

Overview

Johnson & Johnson Innovative Medicine R&D Data Science and Digital Health is recruiting a senior principal data scientist for RWE, based in multiple locations with possibility of remote.

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 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 aligns 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. or master's degree in a quantitative field (e.g., epidemiology, biostatistics, statistics).

Recent experience : 4+ years for Ph.D., 6+ years for master's in biopharma, RWE consulting, or healthcare industries.

Extensive hands-on experience with data engineering, 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, inspiring teams and driving cross-functional alignment.

Highly motivated and intellectually curious, with strong executional rigor and 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.

Compensation

Anticipated base pay range : $137,000 – $235,750.

Benefits and Pay Transparency

Employees may be eligible to participate in medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.

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 (up to 56 hours for Washington residents).

Holiday pay, including floating holidays : up to 13 days per calendar year.

Work, personal and family time : up to 40 hours per calendar year.

Equal Opportunity Employer

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.

Accessibility Statement

We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. 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.

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Principal Data Scientist • San Diego, CA, US

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