Senior Manager, Statistical Programming

Role overview Lead statistical programming work across one or more clinical studies or related compounds, guiding programming activities from early planning through submission. The role combines hands-on SAS work with cross-functional coordination, vendor oversight, quality review, and mentoring.

Responsibilities - Manage statistical programming projects and coordinate timelines and deliverables with study teams and external vendors. - Develop and review code, datasets, and tables, graphs, and listings in line with statistical analysis plans. - Review analysis plans and help translate them into programming deliverables. - Work with biostatistics, data management, clinical operations, and other partners to ensure data and outputs are accurate and resolve implementation issues. - Contribute programming expertise in study team meetings and support vendor selection and deliverable quality monitoring. - Improve team processes, tools, and training, and mentor less experienced programmers.

Requirements - Bachelor’s or master’s degree in computer science, public health, biostatistics, statistics, or a related field. - At least eight years of relevant clinical development statistical programming experience with a bachelor’s degree, or five years with a master’s degree; equivalent combinations may be considered. - Significant SAS programming experience and knowledge of CDISC standards, including SDTM and ADaM. - Experience managing vendors and influencing outcomes across teams without direct authority. - Experience leading projects involving Phase I or Phase II studies. - Strong communication, critical thinking, project management, regulatory awareness, and mentoring skills.

Benefits and work setup The role has a stated annual base salary range of $138,800 to $182,200 and is eligible for an annual incentive plan. Employees may participate in company benefit programs.