Associate Principal Scientist, Statistical Programming, Late-Stage Oncology (Hybrid)

Associate Principal Scientist position in statistical programming for late-stage oncology clinical trials within Merck's Biostatistics and Research Decision Sciences division. Leads programming activities for complex drug/vaccine development projects, managing statistical datasets, analysis deliverables, and cross-functional team coordination across global regulatory submissions.

Responsibilities

• Develop and validate statistical analysis and reporting deliverables including datasets, tables, listings, and figures for clinical trials
• Design and maintain statistical datasets supporting clinical development, outcomes research, and safety evaluation stakeholders
• Coordinate global programming team activities including outsource provider staff across projects
• Serve as statistical programming point of contact and knowledge holder throughout product lifecycle
• Manage project plans including resource forecasting and ensure efficient execution of departmental standards

Requirements

• BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, or Engineering plus 9+ years SAS programming in clinical trials; OR MS in related field plus 7+ years SAS experience
• Advanced SAS expertise including data steps, procedures, macros, graphics, and database systems
• Experience designing complex programming algorithms and developing analysis/reporting deliverables
• Knowledge of CDISC and ADaM standards, clinical data management concepts, and regulatory submission processes
• Demonstrated project leadership managing large/complex initiatives with competing priorities and stakeholder collaboration
• Understanding of statistical terminology, analysis plans, and process compliance requirements
• Strong written, oral, and presentation communication skills with effective interpersonal abilities