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. At Johnson & Johnson, our focus is on health innovation to build a world where complex diseases are prevented, treated, and cured.

Data Analytics & Computational Sciences

Data Science

Scientific/Technology

• Cambridge, Massachusetts, United States
• La Jolla, California, United States
• Raritan, New Jersey, United States
• Spring House, Pennsylvania, United States
• Titusville, New Jersey, United States

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.

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.

• 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.

• A PhD or master’s degree in a quantitative field (e.g., epidemiology, biostatistics, statistics, bioinformatics, or similar).
• Relevant experience (2+ years for PhD, 4+ years for 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.

• Experience delivering on data science projects using predictive technologies such as machine learning, deep learning, or forecasting.
• Familiarity with drug discovery and clinical development processes in at least one of the following therapeutic areas: oncology, immunology, neuroscience, or specialty ophthalmology.

Not Applicable

Full-time

Engineering and Information Technology

Pharmaceutical Manufacturing

Anticipated base pay range: $115,000 - $197,800

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.

If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-) or contact AskGS to be directed to your accommodation resource.