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Metro location, generalist programmer title, and mid-level band increase applicant density.
Clinical trial statistical programming is highly domain-specific to pharma/CRO environments, limiting transferability.
Mandatory Clinical SAS expertise and regulatory-domain experience make screening stringent.
Develop and validate statistical programming code to support clinical trial data analysis and reporting.
Collaborate with data scientists and statisticians to meet data requirements and analytical needs for clinical trials.
Ensure programming practices comply with industry standards and regulatory guidelines while maintaining documentation and reviewing analysis datasets and final reports.
Degree in computer science, statistics, life sciences, or a related field.
Experience in SAS programming within a clinical research environment, including Clinical SAS listings.
Proficiency in SAS, R, or Python programming languages with a strong understanding of statistical analysis.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in clinical data science programming, particularly within clinical trials data analysis contexts.
Detail-oriented and committed to producing high-quality programming deliverables that comply with regulatory standards.
Skilled in cross-functional collaboration, especially with data scientists and statisticians, to translate analytical needs into programming solutions.