Manager, Statistical Programming; m​/f; d

The Position

The purpose of this role is to lead and contribute to statistical programming activities across SDTM, ADaM, and Tables, Listings, and Figures (TLFs), providing both technical oversight and hands‑on support for the development, validation, and programmatic review of datasets and outputs. This role ensures the quality, consistency, and timeliness of deliverables supporting oncology regulatory submissions by guiding programming strategies, reviewing key outputs, and driving issue resolution.

In addition, this position fosters and maintains institutional knowledge across oncology compounds, while supporting the development, standardization, and continuous improvement of programming processes and best practices for datasets and TLFs to enhance efficiency, quality, and compliance.

• Develop and validate datasets and Tables, Listings, and Figures (TLFs) to ensure high-quality deliverables for pivotal studies, as well as Integrated Summary of Efficacy (ISE) and Integrated Summary of Safety (ISS) for oncology regulatory submissions
• Drive end‑to‑end programming from SDTM through ADaM to TLF generation in compliance with CDISC standards and regulatory requirements
• Develop SDTM CRF annotations and SDTM specifications, as well as analysis dataset specifications to ensure accurate implementation of SAPs and TLF shells
• Perform hands‑on programming to create and validate SDTM and ADaM datasets and TLFs, ensuring quality, integrity, and submission readiness
• Ensure datasets meet CDISC and regulatory submission standards while conducting comprehensive reviews of submission data packages to ensure quality, completeness, and alignment with regulatory expectations

• Develop and manage programming timelines and resource plans
• Collaborate closely with Biostatistics, Data Management, and cross‑functional teams to ensure efficient and accurate execution
• Manage the generation and tracking of datasets and TLFs for ongoing and completed studies, ensuring appropriate data usage and high-quality outputs
• Proactively identify and resolve programming‑related issues prior to database lock and analysis
• Ensure the completeness and accuracy of all study programming deliverables
• Maintain all required programming documentation in compliance with Trial Master File (TMF) requirements

• Review and agree on vendor project timelines and resource planning
• Work in tandem with Biostatistics and Data Management members to ensure best vendor performance
• Monitor analysis dataset and TLF transfers for ongoing and completed trials, confirming data use and output quality
• Proactively ensure the resolution of programming‑related issues prior to database lock and analysis
• Verify completeness of study programming deliverables and maintain all required study programming documentation for the Trial Master File (TMF)

• Contribute to CRF and SDTM standard development
• Support the development, implementation, and maintenance of Analysis Data Model (ADaM) datasets and TLF standards
• Support training initiatives to ensure consistent implementation of ADaM and TLF standards in clinical trial analyses

• Develop TLFs to support submission‑related queries with quick turnaround timelines
• Support ad hoc and exploratory analyses requested by clinical teams
• Provide programming support for regulatory responses and potential Advisory Committee meetings

• Collaborate with Biostatistics team members to define requirements for efficacy data review
• Develop and enhance macros
• Support internal data review and monitoring activities

• Master's Degree in Biostatistics or similar degree required
• PhD in Biostatistics or similar degree preferred

• 6+ years of proven experience within pharmaceutical industry, or CROs supporting statistical analysis of clinical trials programming with a master's degree…