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Senior Scientist Statistical Programming, Late-Stage (Hybrid)

$117k - $184.2k

Merck

Senior Scientist Statistical Programming role in late-stage clinical development supporting drug and vaccine programs. Responsible for designing statistical datasets, developing analysis and reporting deliverables, and leading programming teams across global clinical trials and regulatory submissions.

Responsibilities

  • Develop and validate analysis and reporting programs for safety and efficacy datasets, tables, listings, and figures
  • Design and maintain statistical datasets supporting clinical development, outcomes research, and safety evaluation stakeholders
  • Serve as statistical programming point of contact and knowledge holder for assigned projects throughout product lifecycle
  • Lead or coordinate global programming team activities including outsource provider staff and project planning
  • Collaborate with statistics and project stakeholders to execute plans efficiently with timely, high-quality deliverables

Requirements

  • BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, or Engineering plus minimum 5 years SAS programming in clinical trials; or MS in related field plus 3 years SAS experience
  • Advanced SAS expertise including data steps, procedures, macros, graphics, and database systems
  • CDISC and ADaM standards knowledge and implementation experience
  • Understanding of statistical concepts and ability to comprehend analysis plans
  • Project leadership capability with independent task completion at project level
  • Strong interpersonal, written, oral, and presentation skills
  • Experience with clinical data management concepts and process compliance assurance
Vacancy posted 2 days ago
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