Johnson & Johnson Innovative Medicine
Senior Principal, R&D Data Science and Digital Health, Real-World Evidence (RWE)
Johnson & Johnson Innovative Medicine, Titusville, New Jersey, us, 08560
Senior Principal, R&D Data Science and Digital Health, Real-World Evidence (RWE) Statistics
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 MedTech, 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
https://www.jnj.com .
About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science‑based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. 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 .
Job Description Johnson & Johnson Innovative Medicine is recruiting for a
Senior Principal, R&D Data Science and Digital Health, Real‑World Evidence (RWE) Statistics . Preferred locations include Titusville, NJ; Spring House, PA; San Diego, CA; or Cambridge, MA. Remote work may be considered on a case‑by‑case basis.
Responsibilities
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.
Required Qualifications
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.
Preferred Qualifications
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.
Required Skills
Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility.
Preferred Skills
Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility.
Equal Opportunity Statement 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.
Pay Range Anticipated base pay range: $137,000 - $235,750.
Benefits Employees may participate in company‑sponsored medical, dental, vision, life insurance, short‑ and long‑term disability, business accident insurance, and group legal insurance. Long‑term incentive program and participation in the company’s consolidated retirement plan (401(k)) are available. Time‑off benefits include vacation (up to 120 hours per calendar year), sick time (up to 40 hours per calendar year) and holiday pay (up to 13 days per calendar year).
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https://www.jnj.com .
About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science‑based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. 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 .
Job Description Johnson & Johnson Innovative Medicine is recruiting for a
Senior Principal, R&D Data Science and Digital Health, Real‑World Evidence (RWE) Statistics . Preferred locations include Titusville, NJ; Spring House, PA; San Diego, CA; or Cambridge, MA. Remote work may be considered on a case‑by‑case basis.
Responsibilities
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.
Required Qualifications
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.
Preferred Qualifications
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.
Required Skills
Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility.
Preferred Skills
Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility.
Equal Opportunity Statement 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.
Pay Range Anticipated base pay range: $137,000 - $235,750.
Benefits Employees may participate in company‑sponsored medical, dental, vision, life insurance, short‑ and long‑term disability, business accident insurance, and group legal insurance. Long‑term incentive program and participation in the company’s consolidated retirement plan (401(k)) are available. Time‑off benefits include vacation (up to 120 hours per calendar year), sick time (up to 40 hours per calendar year) and holiday pay (up to 13 days per calendar year).
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