Senior Scientist, Statistical Programming, Late-Stage Oncology (Hybrid)
Merck
Senior Scientist role in statistical programming supporting late-stage oncology clinical development within the Biostatistics and Research Decision Sciences department. Responsibilities include developing analysis datasets and reporting deliverables, managing statistical programming projects, and collaborating with global teams through the product lifecycle.
Responsibilities
- Develop and validate statistical analysis programming and reporting deliverables including datasets, tables, listings, and figures
- Design and maintain statistical datasets supporting clinical development, outcomes research, and safety evaluation
- Lead project planning and resource forecasting for statistical programming initiatives
- Coordinate and direct global programming team activities including outsource provider staff
- Serve as statistical programming point of contact and knowledge holder throughout product lifecycle
Requirements
- BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, or Engineering with 5+ years SAS programming in clinical trials; or MS with 3+ years
- Advanced SAS expertise including data steps, procedures, macros, graphics, and database systems
- CDISC and ADaM standards experience with clinical data management knowledge
- Strong project management, stakeholder collaboration, and independent task completion abilities
- Understanding of statistical terminology and ability to comprehend analysis plans
- Experience ensuring process compliance, deliverable quality, and regulatory submissions
Vacancy posted 5 days ago
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