Principal Data Scientist RWE

Position: Principal Data Scientist, Real World Evidence (RWE)
This job is with Johnson & Johnson, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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 Med Tech, 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, La Jolla, California, United States of America, Raritan, New Jersey, 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    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
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 our clinical programs and regulatory submissions. The 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 enhance clinical development in Oncology, Immunology, or Neuroscience.

Key Responsibilities:

Contribute to the development of a portfolio of RWE projects based on RWD that will provide key insights to our pipeline assets

Leverage emerging scientific and technological developments to generate new research ideas, solutions and initiatives using real-world data

End-to-end experience in RWE studies including conceptualizing the research questions, data feasibility, study design, analysis, programming, and interpretation

Analyze and interpret data to support urgent requests from internal and external stakeholders

Ensure quality of design, execution, and publication of real-world evidence studies, and quality of models & tools

Create study protocols, statistical analysis plans, and statistical programming deliverables

Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making

Ensure RWE generation aligned with regulatory requirements and scientific standards

Required Qualifications:

A Ph.D. degree, or master's degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, Bioinformatics, or similar)

Relevant experience (2+ years for Ph.D., 4+ years for a master's) within biopharma companies, RWE consulting firms, or other relevant healthcare industries

Extensive hands-on experience with data engineering and data analysis

Proven track record of consistently delivering on high impact data science projects

Expert proficiency in R and SQL

Excellent interpersonal, communication, and presentation skills

Preferred Qualifications:

Experience delivering on Data Science projects…