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Niche CDISC/SAS requirement lowers pool, but metro location and known CRO increase applicant competition.
Clinical trial and CDISC subject-matter requirements limit cross-industry transferability.
Mandatory SAS, CDISC and regulatory submission expertise make filters strict.
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Develop and validate SAS programming code to generate clinical trial summary tables, listings, graphs, and datasets per statistical analysis plans, ensuring quality and regulatory compliance (e.g. ICH).
Lead and manage multiple complex or global programming projects, coordinate team deliverables, negotiate timelines, and provide risk mitigation and progress updates to management.
Serve as a technical and subject matter expert on CDISC standards and regulatory submission requirements, including mentoring programming staff and participating in industry standards organizations.
Undergraduate degree preferably in scientific or statistical discipline, or equivalent programming experience.
Extensive SAS programming experience in clinical trial environment with ability to lead multiple complex or global statistical programming projects.
Knowledge and experience with CDISC Standards for regulatory submissions.
Experience with regulatory agency submissions preferred; excellent English communication skills required.
Experienced statistical programmer comfortable managing and leading multiple concurrent complex projects with cross-functional teams.
Strong expertise in CDISC standards implementation and regulatory submission processes, capable of guiding teams and improving programming efficiency.
Proactive in communicating project status, resolving issues, and mentoring junior programmers in clinical trial programming and regulatory requirements.