Senior Scientist, Statistical Programming, Late-Stage Oncology (Hybrid)

Merck · North Wales (upper Gwynedd), PA +1 more

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BiometricsFull-time$117k–$184kCompany career page

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Role summary

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.

What they're looking for

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

What you'll be doing

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

Key requirements

Therapeutic area: Oncology

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