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Medium—strong employer brand and metro location increase applicants, but niche clinical-SAS specialization limits broader competition.
High—role requires clinical-trial statistical programming (SAS) expertise, limiting cross-industry transferability.
High—mandatory SAS/clinical-trial domain expertise and lead-level responsibilities impose strict technical and domain filters.
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Develop and validate statistical programming code using SAS or similar software to generate clinical trial summary tables, listings, graphs, and derived datasets per specifications.
Lead and direct programming activities of other programmers, ensuring delivery timelines, quality standards, and alignment with project and sponsor requirements.
Participate in project meetings, review key documents (e.g., SAP, mock shells), provide feedback to improve programming efficiency, and mentor junior programming staff.
Undergraduate degree in scientific or statistical discipline, or equivalent experience and demonstrated programming expertise.
Extensive programming experience in SAS or equivalent software, preferably within clinical trial environments.
Proficiency in English (written and verbal) for communication and documentation.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced statistical programmer with leadership capability to guide and oversee multiple project programmers.
Strong ability to manage multiple competing priorities, estimate timelines accurately, and adapt to shifting project demands in clinical trial settings.
Comfortable engaging with cross-functional teams, including statisticians and sponsors, to resolve programming and data discrepancies efficiently.