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# Senior Statistical Programmer

- **Company:** Icon Clinical Research, Inc
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Clinical Data Management, Clinical Data Repository, SAS (Software), Information Technology
- **Published:** May 13, 2026
- **Apply:** https://www.pharmiweb.jobs/job/2150128/senior-statistical-programmer/

## About the Role

As a Senior Statistical Programmer I at ICON, you will analyze clinical trial data and support the statistical analysis process to ensure high-quality results. We are seeking someone who can support both the development and ongoing maintenance of our standard ADaM metadata. A solid understanding of CDISC ADaM is essential for this role-this is a must-have. Additionally, experience in managing ADaM standards would be a valuable plus., You will have a strong foundation in statistical programming, with the experience to work independently and guide others., * Bachelor's degree in statistics, computer science, mathematics, or a related discipline

 * Experience in statistical programming, preferably in a clinical research or pharmaceutical setting.
 * Strong proficiency in SAS programming, with a solid understanding of statistical concepts and methodologies.
 * Excellent analytical and problem-solving skills, with a keen attention to detail.
 * Strong communication skills, with the ability to work collaboratively in a team environment and effectively convey complex information.

## Description

* Developing and validating SAS programs for statistical analysis and reporting of clinical trial data.
 * Collaborating with biostatisticians to define analysis plans and statistical methods to be applied to clinical data.
 * Performing quality control checks on statistical outputs and ensuring accuracy and consistency in reporting.
 * Assisting in the preparation of statistical reports, presentations, and publications for regulatory submissions.
 * Contributing to process improvements by identifying efficiencies in programming practices and methodologies.


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