About The Position

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 standars and automation solutions.

Requirements

  • BSc in Computer Science, Mathematics, Statistics or related area with relevant experience
  • 10+ 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.
  • Strong understanding of CDISC principles and working within regulated clinical development environments.

Nice To Haves

  • Familiarity with additional scripting or analytical tools (e.g., R or Python) is beneficial.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
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