Associate Director, Statistical Programming

Role Overview

• Leads statistical programming tool development (e.g., SAS macros, automation solutions) supporting multiple studies and/or workstreams
• 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
• 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
• Represents Clinical Data Engineering and Macro Support in cross-functional meetings
• Partners with stakeholders (e.g., GCDS, Study Statistical Programmers, 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
• Communicates effectively with stakeholders across multiple functions and organizational levels
• Resolves conflicts and escalates risks appropriately while maintaining project momentum

Requirements

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

Tech Stack

• Linux
• Python

Benefits

• paid time off
• discretionary annual bonus
• discretionary stock-based long-term incentives
• company-sponsored medical, dental, vision, and life insurance plans