Johnson & Johnson Innovative Medicine
Principal Data Scientist, Real World Evidence (RWE)
Johnson & Johnson Innovative Medicine, Cambridge, Massachusetts, us, 02140
Principal Data Scientist, Real World Evidence (RWE)
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Job Function Data Analytics & Computational Sciences
Job Sub Function Data Science
Job Category Scientific/Technology
All Job Posting Locations
Cambridge, Massachusetts, United States
La Jolla, California, United States
Raritan, New Jersey, United States
Spring House, Pennsylvania, United States
Titusville, New Jersey, United States
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.
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 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.
Preferred Qualifications
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.
Seniority level Not Applicable
Employment type Full-time
Job function Engineering and Information Technology
Industries Pharmaceutical Manufacturing
Salary Anticipated base pay range: $115,000 - $197,800
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 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.
Accommodations 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.
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Job Function Data Analytics & Computational Sciences
Job Sub Function Data Science
Job Category Scientific/Technology
All Job Posting Locations
Cambridge, Massachusetts, United States
La Jolla, California, United States
Raritan, New Jersey, United States
Spring House, Pennsylvania, United States
Titusville, New Jersey, United States
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.
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 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.
Preferred Qualifications
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.
Seniority level Not Applicable
Employment type Full-time
Job function Engineering and Information Technology
Industries Pharmaceutical Manufacturing
Salary Anticipated base pay range: $115,000 - $197,800
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 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.
Accommodations 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.
#J-18808-Ljbffr