Teams at Syneos Health

Leads statistical programming for complex clinical trial projects, developing and validating SAS outputs, datasets, tables, listings, and graphs. Oversees concurrent deliverables, timelines, quality control, documentation, regulatory compliance, and CDISC standards including SDTM, ADaM, and Define.xml. Mentors programmers, provides technical guidance, participates in sponsor and regulatory meetings, develops programming standards and tools, and serves as a subject matter expert for clinical development and electronic submissions.

Leads statistical programming for clinical trials, using SAS to create and validate tables, listings, graphs, and derived datasets. Develops programming specifications, ensures quality and regulatory compliance, maintains inspection-ready documentation, manages timelines across projects, and resolves discrepancies with biostatisticians and project teams. Represents statistical programming in sponsor meetings, directs programming deliverables, mentors team members, and supports training and process improvement. Minimal travel may be required.

Conducts centralized monitoring of clinical study data using RBQM processes and analytical tools. Reviews KRIs, identifies data quality trends and study, country, or site risks, recommends actions, maintains risk and issue documentation, supports study-specific tool setup and maintenance, trains study teams, and provides regular findings and status reports. Requires at least two years of relevant central monitoring experience; Cluepoints experience is preferred.