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# Senior Statistical Programmer

- **Company:** IQVIA
- **Location:** Durham, NC, United States
- **Experience:** Expert
- **Salary:** $88,300.0 - $220,900.0
- **Contract:** Permanent contract
- **Skills:** Clinical Data Repository, SAP (Applications), SAS (Software), Information Technology
- **Published:** August 15, 2026
- **Apply:** https://iqvia.wd1.myworkdayjobs.com/IQVIA/job/Durham-North-Carolina-United-States-of-America/Senior-Statistical-Programmer_R1563733

## About the Role

* BA/BS degree in mathematics, statistics, computer science or health related field. Or equivalent experience
 * 4 - 8 years of SAS programming working experience in the pharmaceutical industry.
 * Good SAS programming skills and attention to details
 * Demonstrated knowledge of regulatory guidelines, including electronic submission standards.
 * Strong organizational, time management, communication, and project coordination and leadership skills.
 * Must be able to work well under timeline pressure.
 * Must be able to work on multiple tasks while coordinating others at the same time.

## Description

* Conduct statistical programming work of clinical data using SAS Software.
 * Ensure that all programs, outputs and documentation are consistent with ICH guidelines and are conducted in compliance with company SOPs.
 * Generate analysis datasets according to CDISC standard and SAP.
 * Implement analysis methods according to SAP, and produce summary tables, graphs and data listings using SAS; Conduct adhoc analyses.
 * Validate programs and associated results produced by other programming colleagues.
 * Participate in TLF shell preparation and review, and assist statistician for SAP preparation.
 * Run CDISC validation programs e.g. OpenCDISC reports to ensure ADaM datasets are CDISC compliant.
 * Learn, and implement Incyte standard SAS macros for efficient analyses of clinical data supervised by Lead programmers.
 * Work independently to program for individual studies with minimum supervision.
 * Check that the validation summary reports are clean of errors and warnings, and show proper documentation of SAS programs.
 * Review individual study CDISC validation output.


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