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# Senior Principal Scientist, Data Science RWE

- **Company:** Johnson & Johnson
- **Location:** Cambridge, MA, United States
- **Experience:** Expert
- **Salary:** $137,000.0 - $235,750.0
- **Contract:** Permanent contract
- **Skills:** Computer Programming, Databases, Data Mining, Python (Programming Language), SAS (Software)
- **Published:** September 7, 2026
- **Apply:** https://www.careerjet.com/job/us242d5bf66033ee52a42852cc463e1d22/eaa

## About the Role

* A Ph.D. degree in epidemiology or biostatistics
 * Expert coding skills using R, Python, or SAS
 * At least 5 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries
 * Extensive hands-on experience with data extraction, cleaning, and analysis, as well as statistical methods to mitigate confounding and selection biases
 * Expertise with multiple real-world data sources (EHR, insurance claims, registry data). Familiarity with clinical trial data structure
 * Excellent interpersonal, communication and presentation skills, * Familiarity with drug discovery and the clinical development process
 * Subject matter knowledge in oncology, Immunology or Neuroscience
 * Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments.

## Description

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at https://www.jnj.com/innovative-medicine
The Real-world Evidence & Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for outstanding scientists and leaders whose responsibilities include:

 * Be a hands-on scientific and technical leader, leading a portfolio of RWE projects, developing best practices, and mentoring team members.
 * Identify common technical requirements for RWE projects, develop and maintain a common suite of tools that enable RWE data scientists to accelerate project delivery.
 * End-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation.
 * Provide thought leadership and hands-on programming expertise for developing and applying Real-World Data ("RWD") methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc.
 * Provide thought leadership and hands-on programming expertise to generate actionable insights from post-hoc RCT analyses, observational databases, and literature reviews to support regulatory agency interactions.

 * Independently create study protocols, statistical analysis plans, and statistical programming deliverables including analysis-ready data, tables and figures

 * Partner with the Data Science Therapeutic Area scientists to conceptualize, lead, shape and deliver Real World Evidence


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