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

Role: Support statistical programming activities for late-stage drug/vaccine clinical development projects, leading one or more projects in analysis and reporting deliverables. Responsibilities include developing and validating analysis datasets, managing project plans and resources, and coordinating global programming teams, including outsource providers. Serve as the statistical programming point of contact across the product lifecycle and contribute to departmental strategic initiatives. Requirements: BA/BS in a relevant field plus at least 5 years SAS programming experience in clinical trials, or MS with 3 years experience; strong expertise in SAS, data management, CDISC (ADaM), and clinical trial concepts; effective communication and project leadership skills. Preferred: experience with R, Python, Generative AI, regulatory submissions, and process improvement. High-Value: Late-stage (Phase III or post-marketing) development, global team coordination, GxP compliance, and experience working across cultures. Work setup: remote with 10% travel.