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

Role: Lead statistical programmer within BARDS, supporting late-stage drug/vaccine clinical development projects. Objectives include developing and executing statistical analysis and reporting deliverables—such as datasets, tables, listings, and figures—for clinical trials, regulatory submissions, and post-marketing activities. Responsibilities encompass designing and maintaining statistical datasets, coordinating global programming teams including outsourced staff, and ensuring high-quality, compliant deliverables aligned with industry and departmental standards. The role also involves project planning, resource forecasting, and participating in departmental strategic initiatives. Requirements: BA/BS with 5+ years or MS with 3+ years SAS programming experience in clinical trials, with expertise in data steps, procedures, macros, and systems/database knowledge. Strong interpersonal, collaboration, and communication skills are essential. High-value specifics include experience with CDISC standards (ADaM), regulatory submissions, and clinical trial environments. Preferred skills encompass familiarity with GenAI tools (Python, R), oncology indications, and experience with SDLC, process improvement, and global project management. The position reports to leadership within the department, features hybrid work setup with 10% travel, and involves cross-functional interaction with clinical development, regulatory, and data management teams, emphasizing the biopharma focus on late-phase clinical trial support.