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

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  • Johnson & Johnson
  • San Diego, CA

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 handson 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.
  • Endtoend 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 postmarketing phases.
  • Shape the selection of realworld 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 masters degree in a quantitative field (e.g., epidemiology, biostatistics, statistics).
  • Recent experience: 4+ years for Ph.D., 6+ years for masters in biopharma, RWE consulting, or healthcare industries.
  • Extensive handson experience with data engineering, exploratory data analysis, statistical modeling, timetoevent analyses, comparative effectiveness analyses, causal inference methods.
  • Demonstrated expertise with multiple realworld 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 crossfunctional 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 regulatorygrade 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 longterm 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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Job Tags

Full time, Local area, Remote work,

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