Manager - Statistical Programming (Hybrid)

Role: Manager of Statistical Programming leading a team in early neuroscience drug development. Objectives include overseeing statistical programming activities for compounds/indications, ensuring timely and quality deliverables, and supporting regulatory submissions. Responsibilities encompass managing SAS programming for ADaM data sets according to CDISC standards, developing tables, listings, and figures, creating documentation for filings, and developing standard macros and procedures. Also involves resource planning, team mentoring, and cross-functional collaboration with Statistics, Data Sciences, Medical Writing, and Regulatory teams. Qualifications: Bachelor's in Statistics or Mathematics, 8+ years (or 10+ with a bachelor) of relevant experience, including team leadership. Expertise in SAS programming, ADaM standards, and drug development processes is essential; experience with regulatory filings is preferred. Skills include strong communication, effort estimation, and cross-functional representation. High-Value: Neuroscience therapeutic area, early development stage, SAS/ADaM, CDISC standards, regulatory documentation. Work setup: details on location and travel are not specified but involve significant cross-team interaction.