Principal Scientist, Biostatistics

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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

The 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. This individual will collaborate with Quantitative Sciences & Clinical Pharmacology (QSCP) functions and other drug development scientists to support statistical aspects of key business and regulatory commitments, contributes to program plans, and represents Statistics & Decision Sciences (SDS) in various teams or working groups.

They will practice J&J leadership principles and values aligned with the company’s Credo and purpose.

• Exhibiting advanced proficiency in data analytics, grounded in statistical principles with a proven record of effectively supporting programs.
• Demonstrating competence in using 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.
• Ensuring 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.
• Integrating quantitative sciences with disease or functional area requirements, balancing scientific and business needs.
• Providing leadership in optimizing study designs to meet objectives, and supports scenario simulations and sample size calculations informed by technical and area specific knowledge.
• Proactively identifying complexities related to scientific, statistical, regulatory, operational, and partnership aspects.
• Progresses to more complex programs upon mastering standard ones.
• Identifying and implementing advanced statistical techniques to address complex project or program features.
• Serving as a recognized leader, offering guidance to the team on optimizing study or trial designs in accordance…