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Senior Principal Data Scientist Real World Evidence RWE

Senior Principal Data Scientist Real World Evidence RWE

Johnson & JohnsonCambridge, MA, United States
1 day ago
Job type
  • Full-time
Job description

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at

Job Function :

Data Analytics & Computational Sciences

Job Sub Function : Data Science

Job Category :

Scientific / Technology

All Job Posting Locations :

Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description :

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. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit

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.

#LI-GR #LI-Hybrid #JRDDS

#JNJDataScience

#JRD

Required Skills : 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 :

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.

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Principal Data Scientist • Cambridge, MA, United States