





Specialized clinical SAS/R skills but metro location and known employer create moderate applicant density.
Statistical programming for clinical trials is highly domain-specific and less transferable across industries.
Requires domain-specific SAS/R and clinical trial experience plus leadership, so moderately strict screening.
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Lead and manage a team of statistical programmers overseeing programming activities for clinical trial projects.
Ensure timely, accurate delivery of statistical analysis outputs and adherence to regulatory guidelines (ICH/GCP).
Collaborate with biostatisticians and project managers to define project requirements, manage timelines, and ensure quality control of programming deliverables.
Bachelor's degree in statistics, computer science, mathematics, or related discipline.
Significant experience in statistical programming within clinical research, including knowledge of statistical methodologies.
Proven leadership experience managing teams and delivering projects in fast-paced environments.
Proficiency in SAS, R, or Python programming along with clinical data management systems experience.
Experienced in leading statistical programming teams with a focus on mentoring and capability development.
Comfortable managing multiple priorities and collaborating cross-functionally in a clinical research setting.
Skilled in applying statistical programming tools (SAS, R, Python) to drive compliant, high-quality analysis outputs.