About this role
About the Role Associate Director, Statistical Programming leads tool development (e.g., SAS macros, automation solutions) supporting multiple studies and/or workstreams and ensuring delivery of high-quality, scalable tools aligned with Clinical Data Science and Statistical Programming standards. They contribute to departmental strategies, tools, and infrastructure that enable efficiency and consistency across Statistical Programming. What You'll Do
- Plan and deliver tool development aligned with study and business timelines.
- Influence design, development, qualification, and maintenance of SAS macros and related tools used across multiple studies or initiatives.
- Act as a project or functional lead for statistical programming tool initiatives.
- Identify cross-project synergies to improve efficiency, consistency, and reuse of tools and processes.
- Maintain advanced knowledge of statistical programming good practices, data standards and norms.
- Advance emerging AI capabilities in alignment with corporate initiatives.
- Design and develop tools in SAS Macro (required); familiarity with Linux scripting, R, or Python preferred.
- Ensure tools comply with Gilead systems development procedures and regulatory requirements.
- Drive adoption of standardized programming tools, templates, and methodologies following documented workflows.
- Anticipate and resolve technical challenges, providing guidance to team members.
- Provide primary and secondary tool development support as needed. What We're Looking For
- Advanced knowledge of statistical programming good practices, data standards and norms.
- Experience designing, developing, qualifying, and maintaining SAS macros and related tools.
- A track record as a project or functional lead for programming tool initiatives.
- Familiarity with Linux scripting, R, or Python (preferred).
- Knowledge of Gilead systems development procedures and regulatory requirements.
- Strong collaboration, communication, and mentorship skills.
- Ability to drive standardization and provide guidance across teams. Nice to Have
- Experience with Linux scripting, R, or Python (preferred).
- Interest or experience in applying AI capabilities to programming workflows.