Senior Scientist Statistical Programming, Late-Stage (Hybrid)
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
$117k - $184.2k
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