Principal Scientist, Biostatistics (ST7) in High Wycombe

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.

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.

Job Function: Data Analytics & Computational Sciences

Job Sub Function: Biostatistics

Job Category: Scientific/Technology

Job Description:

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. 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.

Principal Responsibilities:

• 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.
• Proactively identifies complexities related to scientific, statistical, regulatory, operational, and partnership aspects.
• Identifies and implements advanced statistical techniques to address complex project or program features.
• Builds cross-functional partnerships with internal colleagues and external partners to achieve results for project-specific needs, focusing on enhancing communication, efficiency, and productivity.
• Delivers high-quality and timely outputs as evaluated by stakeholders such as the project team, clinical trial team, and the Statistics Area Head.
• Engages actively in presentations at key forums and publishes work addressing business-related needs.

Education And Experience Requirements:

Ph.D. in Statistics or related field with relevant experience, or Master’s in Statistics or related field with commensurate years of relevant experience. Proficient in SAS and R programming, and other relevant computing tools (e.g., East Horizon, RPACT, FACTS, Python). Excellent interpersonal, verbal, and written communication skills in the English language. Demonstrated ability to work in interdisciplinary contexts outside statistics.

Required Skills: Advanced Analytics, Biostatistics, Clinical Data Management, Collaboration, Compliance Management, Critical Thinking, Data Privacy Standards, Good Clinical Practice (GCP).

Benefits: In addition to base pay, we offer an annual bonus, vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well-being reimbursement, and several insurance plans.