Assoc Director, Statistical Programming

Job Description Associate Director, Statistical Programming (Macro, AI, & Standards Support)
Job Summary

Leads statistical programming tool development (e.g., SAS macros, automation solutions) supporting multiple studies and/or work streams and ensuring delivery of high‑quality, scalable tools aligned with Clinical Data Science and Statistical Programming standards. Contributes to departmental strategies, tools, and infrastructure that enable efficiency and consistency across Statistical Programming.

• Accountable for planning and delivery of tool development aligned with study and business timelines.
• Influences design, development, qualification, and maintenance of SAS macros and related tools used across multiple studies or initiatives.
• Acts as a project or functional lead for statistical programming tool initiatives.
• Identifies cross‑project synergies to improve efficiency, consistency, and reuse of tools and processes.

• Maintains advanced knowledge of statistical programming good practices, data standards and norms.
• Advances emerging AI capabilities in alignment with corporate initiatives.
• Designs and develops tools in SAS Macro (required); familiarity with Linux scripting, R, or Python preferred.
• Ensures tools comply with Gilead systems development procedures and regulatory requirements.
• Drives adoption of standardized programming tools, templates, and methodologies following documented workflows.
• Anticipates and resolves technical challenges, providing guidance to team members.
• Provides primary and secondary tool development support as needed.

• Contributes to development of departmental strategies, standards, and infrastructure for statistical programming tools.
• Leads or contributes to initiatives that improve efficiency, automation, and scalability across programming workflows.
• Evaluates and recommends new tools, processes, or technologies to enhance productivity and data flow.
• Leads, advocates and implements solution for emerging capabilities in R and Python.

• Represents Clinical Data Operations and Macro Support in cross‑functional meetings.
• Partners with stakeholders (e.g., GCDS, Study Statistical Programmers, Clinical Data Management) to define user‑defined specifications, align priorities, and deliver solutions.
• Builds cross‑functional buy‑in and influences decisions related to tools, standards, and timelines.
• May interact with external vendors and ensures alignment with internal standards.

• Communicates effectively with stakeholders across multiple functions and organizational levels.
• Resolves conflicts and escalates risks appropriately while maintaining project momentum.

• PhD with 5+ years relevant experience in statistical programming or related field.
• MS with 8+ years, relevant experience in statistical programming or related field.
• BS with 10+ years of relevant experience in statistical programming or related field.

• Advanced expertise in statistical programming and tool development (SAS Macro required).
• Proficient in the use of AI, AI coding tools and agents.
• Emerging skillset in open‑source languages such as R and Python.
• Strong understanding of clinical trial design and reporting process, as well as regulatory requirements.
• Strong problem‑solving, negotiation, and decision‑making skills.
• Excellent verbal and written communication and interpersonal skills are required.
• Significant experience in life sciences, including clinical trials, analysis, and regulatory reporting.
• Demonstrated experience leading projects and/or teams.
• Knowledge of internal Gilead Analysis and Reporting macros is not required but desired.