Principal Scientist Biostatistics
Listed on 2026-03-04
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Research/Development
Research Scientist, Clinical Research, Data Scientist, Medical Science -
Healthcare
Clinical Research, Data Scientist, Medical Science
Overview
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 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.
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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 FunctionData Analytics & Computational Sciences
Job Sub FunctionBiostatistics
Job CategoryScientific/Technology
All Job Posting Locations- Allschwil, Basel-Country, Switzerland
- Beerse, Antwerp, Belgium
- Maidenhead, Berkshire, United Kingdom
The Principal Statistician supports the design, execution, analysis, interpretation, and reporting or communication of data evidence for Pre/Early/Late Clinical Development, Research & Discovery, Medical Affairs, Real World Evidence, or Manufacturing Sciences programs for research, development, and/or marketed product needs in Janssen, with minimal supervision. This position supports statistical aspects of business‑critical and/or regulatory commitments, provides input to program plans with limited supervision, and represents Statistics & Decision Sciences (SDS) for cross‑functional and intra‑departmental teams or working groups.
He/She abides by the Credo and practices J&J Leadership Imperatives for Individuals:
Lead, Shape, Connect, and Deliver.
Demonstrates advanced data analytic expertise based on a foundation of statistical principles and a strong track record of applied experience leading to successful program support. Is effective in the use of relevant computational tools for study, experiment, or trial research objectives. Applies high quality statistical methodology in assigned projects with demonstrated understanding of the disease/scientific/functional area and health authority acceptability.
Quality and ComplianceComplies with organization and company standard operating procedures in timely fashion, such as training and project time accounting. Understands and aligns with relevant regulatory guidance. Contributes high quality and timely deliverables as assessed by stakeholders such as the project team, the clinical trial team, and the Statistics Area Head. Ensures that documents, specifications, programs, and macros are consistent and comply with project and company standards.
Follows best practices for Data Integrity.
Demonstrates thorough knowledge of pharmaceutical research and development strategies and execution. Takes a lead in providing SDS support to experimental design, modeling, analysis planning, analysis execution, interpretation, and statistical communications. Is accountable for execution of individual project responsibilities, including: meetings with necessary project team members, reporting activities, exploratory analyses/graphics, and additional analyses to support publications for individual clinical trials/studies/projects. Is an evolving leader for providing input to team in terms of optimizing study or trial designs in line with study or indication level objectives, and supports scenario simulations and sample size calculations based on relevant technical and disease/scientific/functional area knowledge.
DiseaseArea Knowledge
Demonstrates knowledge for at least one disease area/target.
InnovationSuggests and performs the evaluation of alternative or innovative approaches to statistical methods or business processes.
RepresentationRepresents Statistics & Decision Sciences for cross‑functional and intra‑departmental teams or working groups relating to scientific or process initiatives.
External EngagementParticipates as a member of professional organizations, e.g. by attending meetings…
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