Associate Director, Statistical Programming (Macros & Automation

CSL's R&D organization is accelerating innovation to deliver greater impact for patients. With a project-led structure and a focus on collaboration, we’re building a future-ready team that thrives in dynamic biotech ecosystems. Joining CSL now means being part of an agile team committed to developing therapies that make a meaningful difference worldwide.

Could you be our next Associate Director, Programming (Macros & Automation)? The job is in our Waltham MA, King of Prussia PA or Glattbrugg Switzerland Office. This is a hybrid position and is onsite a minimum of three days a week. You will report to the Director, Statistical Programming.

Position

Purpose:

You will be responsible for designing new programming standards, implementing them across the programming organization, and taking full ownership of existing shared codebases and automation frameworks that support clinical data processing, metadata management, reporting, and visualization workflows.

You will be a hands-on technical leader who can architect scalable reusable macro frameworks, modernize legacy code, and ensure consistent, efficient, and compliant programming practices aligned with CDISC and regulatory expectations across the programming organization. In addition, a deep expertise in SAS macro development to lead and govern enterprise programming standards and automation solutions.

Main Responsibilities and Accountabilities:

1) Programming Standards Leadership

• Define, implement, and maintain enterprise programming and analysis standards.
• Develop scalable, reusable macro-driven frameworks to standardize programming activities across studies and programs.

Represent programming at the standards governance forums and drive organization-wide adoption of programming standards and best practices

2) Automation & Code Ownership

• Take ownership of existing SAS macro libraries, tools, and automation solutions.
• Maintain, enhance, and modernize legacy programming frameworks to improve reliability, maintainability, and efficiency.

Establish documentation, validation, version control, and support processes for all programming automation assets.

3) Operational Support

• Provide programming oversight for daily Statistical Computing Environment (SCE) activities in partnership with technology and support teams.
• Ensure the environment effectively supports standards execution and automated workflows.

4) Cross-Functional Collaboration & Compliance

• Collaborate with data management, statistics, clinical, and quality teams to ensure programming practices align with CDISC standards, organizational procedures, and regulatory expectations.
• Serve as the subject matter expert for programming standards during internal reviews, audits, and inspections.
• Track and report adoption and effectiveness of standards using defined metrics.

5) Continuous Improvement

• Drive simplification and consistency of programming processes through automation and reusable solutions.
• Develop training materials, guidance, and best practices to support consistent implementation.
• Identify opportunities to improve reporting and visualization approaches through standardized methods.

Job Qualifications and Experience Requirements:

Education :

• BSc in Computer Science, Mathematics, Statistics or related area with relevant experience
• Other degrees and certifications considered if commensurate with related programming experience

Experience:

• 9+ years of experience in either clinical programming and/or statistical programming, within the CRO/pharmaceutical environment using SAS Software.
• Comprehensive understanding of clinical programming and/or statistical programming processes and standards.
• Expert-level SAS programming with advanced macro development capability (required).
• Demonstrated experience designing reusable programming frameworks and shared automation utilities.
• Experience managing large shared code repositories and supporting enterprise programming tools.
• Fluency in technical requirements for CDISC Compatible Data Sets and DDT Files
• Strong understanding of CDISC principles and working within regulated clinical development environments.
• Familiarity with additional scripting or analytical tools (e.g., R or Python) is…