The Senior Statistician provides statistical services including analysis, interpretation, design, and reporting or communication of data evidence for research, development, and/or marketed product needs in Janssen. This position supports statistical aspects of business-critical and/or regulatory commitments. 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 track record of applied experience. 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. Ensures application of appropriate statistical methods and generation of accurate and reproducible results working independently or by providing specifications to statistical programming colleagues. Produces clear, concise, well-organized, and error-free computer programs and statistical reporting content.
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: Acquires and demonstrates knowledge in pharmaceutical research and development strategies and execution. Assists in providing experimental design, modeling, analysis planning, analysis execution, interpretation, and statistical communications support. 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. Provides critical input to the statistical lead or team in optimizing study or trial designs in line with study or trial objectives, and supports scenario simulations and sample size calculations based on relevant technical and disease/scientific/functional area knowledge.
Programming: Demonstrates full proficiency in SAS or R, as well as a working knowledge of other relevant computational tools as required.
External Engagement: Participates as a member of professional organizations, such as attending meetings sponsored by professional organizations.
Ph.D. in Statistics or related field with minimum 0-2 years relevant experience, or Master’s in Statistics or related field with commensurate years of relevant experience.