Principal Scientist, Biostatistics (ST7
Listed on 2026-08-16
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Healthcare
Data Scientist, Clinical Research
At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld 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 Med Tech, 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 As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Data Analytics & Computational Sciences
Job Sub FunctionBiostatistics
Job CategoryScientific/Technology
All Job Posting LocationsAllschwil, Basel-Country, Switzerland, Allschwil, Switzerland, Beerse, Antwerp, Belgium, High Wycombe, Buckinghamshire, United Kingdom, Leiden, Netherlands, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America
Job DescriptionStatistics & Decision Sciences Principal Scientist, Biostatistics (ST7) Statistics & Decision Sciences (SDS) is a function of Quantitative Sciences & Clinical Pharmacology. SDS comprises of Cardiopulmonary, Oncology, Immunology, Neuroscience, Medical Affairs, Post Approval Lifecycle Management, Discovery & Manufacturing Statistics, Statistical Modeling & Methodology & Consulting and Strategic Business & Computing Operations.
Position SummaryThe Principal Scientist provides input to the design and execution of studies and experiments for Clinical Development, Medical Affairs, Discovery, and Manufacturing Sciences programs at J&J Innovative Medicines (J&J IM), with minimal supervision. Support is provided to statistical analysis, interpretation, and reporting or communication of data evidence towards programs for research, development, and/or marketed product needs in J&J IM. The position collaborates with Quantitative Sciences & Clinical Pharmacology (QSCP) functions and other drug development scientists.
This role supports statistical aspects of key business and regulatory commitments, contributes to program plans, and represents Statistics & Decision Sciences (SDS) in various teams or working groups. The Principal Scientist practices J&J leadership principles and values aligned with the company’s Credo and purpose.
The content in this section applies to all statistical therapeutic areas and functional areas within Statistics & Decision Sciences. Specific additional responsibilities and accountabilities for individual statistical therapeutic areas and functional areas are contained in the Appendix.
Expertise- Exhibits advanced proficiency in data analytics, grounded in statistical principles with a proven record of effectively supporting programs. Demonstrates competence in utilizing pertinent computational tools for research objectives related to studies, experiments, or trials, including full proficiency in R and SAS, along with familiarity with other relevant computational tools, including innovative data-adaptive methods and artificial intelligence.
- Ensures the application of high-quality statistical methodologies in assigned projects, showcasing an understanding of the disease/scientific/functional area and compliance with health authority standards. Acts with accountability, agility, and transparency.
- Demonstrates expertise in at least one disease area/target. Integrates quantitative sciences with disease or functional area requirements, balancing scientific and business needs. Quantitative Sciences & Clinical Pharmacology (QSCP) Global Development supports scenario simulations and sample size calculations informed by technical and disease/scientific/functional area specific knowledge.
- Proactively identifies complexities related to scientific, statistical, regulatory, operational, and partnership aspects. Progresses to more complex programs upon mastering standard ones.
- Identifies and implements advanced statistical techniques to address complex project or program features. Demonstrates a proven history of proposing, assessing, and executing successful alternative or innovative approaches to statistical methodologies or business processes.
- Serves as a recognized leader, offering guidance to the team on optimizing study or trial designs in accordance with study or indication level objectives. Enhances inferential insights while minimizing time, cost, and study risk.
- Proven ability in problem-solving and troubleshooting at a program level, including regulatory and decision-making support. Collaborates cross-functionally to identify and resolve issues.
- Engages in process improvement and standards development initiatives.
- Impact Builds cross-functional partnerships with internal…
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