Director, Statistical Programming

Director, Statistical Programming

Maze is looking for a Director of Statistical Programming, who will help shape the data foundation of our clinical development programs. In this role you'll collaborate closely with colleagues across Biostatistics, Clinical Data Management, Clinical Operations, and Regulatory Affairs, and oversee external vendors to keep our studies rigorous, high-quality, and ready for regulatory review.

You'll report to the Vice President of Biometrics and lead the strategy and day-to-day execution of statistical programming across multiple clinical studies. Your leadership will ensure we deliver reliable, efficient, and regulatory-compliant programming outputs that drive smarter decisions and advance our therapeutic programs.

• Define and implement statistical programming strategy, standards, and best practices across development programs.
• Lead the design, development, validation, and maintenance of SAS macros, scripts, and applications supporting clinical data analysis, reporting, and regulatory deliverables (e.g., SDTM, ADaM datasets, TLFs).
• Ensure programming infrastructure is robust, scalable, and compliant with regulatory standards (e.g., FDA 21 CFR Part 11, GxP), and supports reproducibility and audit readiness.
• Drive automation and standardization of programming workflows to improve efficiency and consistency across studies.
• Partner closely with Biostatistics, Clinical Data Management, Regulatory Affairs, and IT to define programming requirements, align on analysis/reporting deliverables, and ensure data integrity.
• Represent the statistical programming function in cross-functional meetings and strategic initiatives.
• Manage CROs and external programming vendors, including scope, timelines, quality, and budget oversight.
• Support outsourcing strategy and vendor selection

As a Director, we also expect you to demonstrate the following Leadership

Competencies:

• Communication and Influence
  • Builds communication channels across Maze for sharing information.
  • Influences Senior Management decisions through persuasive arguments.
  • Respectfully addresses differing opinions leading to support of decisions.
• Teamwork and Collaboration
  • Champions partnerships and connections across Maze.
  • Proactively addresses issues that could result in breakdown of team relationships.
  • Spotlights team and individual contributions in public forums.
• Execution and Results
  • Addresses gaps and leverages strengths to get best results.
  • Maintains a steadying presence and clarifies priorities during change.
  • Anticipates and removes barriers that put functional/corporate goals at risk.
• Develop Others and Self
  • Remove barriers to staff development and empowers them to make their own decisions.
  • Stays current on industry trends and keeps direct-reports prepared and responsive.

• An advanced degree in Statistics, Computer Science, Mathematics, or related discipline
  • Master's degree with 10+ years of experience, or Ph.D. with 8+ years of experience
• A track record of leading statistical programming efforts across multiple clinical studies or regulatory submissions.
• Strong decision-making skills and the ability to guide teams through ambiguity while influencing across project teams.
• A collaborative leadership style that emphasizes mentorship, knowledge sharing, and developing others.
• Deep technical expertise in statistical programming for clinical research, with familiarity in CDISC standards, submission-ready deliverables, and modern programming best practices.

This role follows a hybrid schedule, with an expectation to be onsite at our South San Francisco headquarters at least three days per week.

Maze Therapeutics is a clinical-stage biopharmaceutical company harnessing human genetics to develop precision medicines for patients with kidney and metabolic diseases. Our clinical pipeline is anchored by two small molecule programs: MZE
829, an APOL1 inhibitor for patients with APOL1-mediated kidney disease, and MZE
782, which targets genetic drivers of disease in phenylketonuria (PKU) and chronic kidney disease. We are also advancing a preclinical pipeline through our Compass platform, which…