Principal Data Scientist RWE

Principal Data Scientist, Real World Evidence (RWE)

Join to apply for the Principal Data Scientist, Real World Evidence (RWE) role at Johnson & Johnson Innovative Medicine

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.

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 using predictive technologies such as machine learning/deep learning, or forecasting

• Familiarity with and exposure to drug discovery and clinical development processes with one or more of the following therapeutic areas: oncology, immunology, neuroscience, or specialty ophthalmology

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…