Job Function
Data Analytics & Computational Sciences
Job Sub Function
Biostatistics
Job Category
Scientific/Technology
Locations
Allschwil, Basel-Country, Switzerland; Beerse, Antwerp, Belgium; Wokingham, Berkshire, United Kingdom
Job Description
The Principal Statistician supports the design, execution, analysis, interpretation, and reporting of data evidence for Pre/Early/Late Clinical Development, Research & Discovery, Medical Affairs, Real World Evidence, or Manufacturing Sciences programs in Janssen, with minimal supervision. This position supports statistical aspects of business‑critical and/or regulatory commitments, provides input to program plans, 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.
Expertise: 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. 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 Compliance: Complies with organization and company standard operating procedures in timely fashion, such as training and project time accounting. Understands and aligns with relevant regulatory guidances. 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.
Drug Development: 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.
#J-18808-Ljbffr