Engage directly with cross-functional teams and contribute to high-visibility clinical initiatives. Work on-site in a collaborative setting that encourages knowledge sharing and technical excellence. Lead programming efforts supporting clinical studies and regulatory deliverables. Develop and validate SDTM and ADaM datasets in alignment with CDISC standards. Produce high-quality analysis outputs, including tables, listings, and figures for trials and publications. Create, maintain, and optimize SAS macros and utilities to enhance programming efficiency. Draft clear dataset specifications aligned with study protocols and analysis plans. Partner with statisticians, data managers, and clinical teams to ensure accurate, timely outputs. Manage multiple complex assignments and drive them to completion with minimal oversight. Contribute technical expertise to problem-solving, workflow enhancements, and process improvements.
Grow your experience in a setting that values innovation, problem-solving, and data accuracy. 8+ years of clinical or statistical programming experience within pharma, biotech, or related industries. Advanced SAS programming skills with demonstrated expertise in dataset creation and validation. Deep familiarity with CDISC SDTM and ADaM standards. Prior leadership experience supporting studies or overseeing programming deliverables. Strong understanding of clinical trial data structures and regulatory expectations. Excellent communication skills and ability to collaborate across cross-functional teams. Bachelor's degree in Statistics, Computer Science, Mathematics, or a relevant scientific discipline.
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