Senior Scientist, Statistical Programming, Late-Stage Oncology (Hybrid)
Core
Design and maintain statistical datasets and execute analysis/reporting deliverables (tables, listings, figures) for late-stage drug and vaccine clinical development projects, supporting regulatory submissions and post-marketing activities.
Role type
Senior Statistical Programmer (Late-Stage Oncology)
Builds
Safety and efficacy analysis datasets, regulatory submission deliverables, and statistical reporting packages for global clinical trials.
Domain
Life Sciences / Clinical Trials / Oncology
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SAS programming (data steps, procedures, macros, graphics), CDISC ADaM standards, clinical trial programming, statistical database design, project planning, regulatory submission experience
Preferred skills
GenAI tools (Python, R, R Shiny), statistical programming mentorship, process improvement, cross-cultural collaboration
Technologies
SAS, Python, R, Microsoft Project
Responsibilities
Develop and validate statistical analysis and reporting deliverables; design and maintain statistical datasets for multiple stakeholder groups; coordinate global programming teams including outsource providers; manage project plans and resource forecasting; ensure compliance with global standards and SOPs.
Seniority
Senior, hands-on IC with project leadership
