Clinical R Data Scientist Consultant- Remote

Role overview Develop and maintain clinical trial data deliverables using R, supporting studies from dataset preparation through quality review and reporting. The consultant will work closely with statisticians, data managers, and clinical teams to ensure outputs follow CDISC standards and meet regulatory expectations. The position is remote; contract status is indicated in the listing.

Responsibilities - Create, validate, and maintain SDTM and ADaM datasets in R in line with CDISC standards. - Support generation of tables, listings, and figures using R or SAS as needed. - Write efficient, reproducible scripts for clinical data analysis and reporting. - Coordinate with statistical, data management, and clinical colleagues to clarify programming requirements. - Perform quality checks, resolve data discrepancies, and help ensure deliverables are suitable for regulatory submissions. - Maintain programming documentation and version control practices, and contribute to automation and R pipeline development. - Use SAS to support legacy studies or other work that requires it.

Requirements - Bachelor’s or master’s degree in statistics, computer science, mathematics, life sciences, or a related field. - At least two to three years of clinical programming experience, with a strong focus on R. - Demonstrated experience creating SDTM and ADaM datasets in R and a solid understanding of CDISC standards. - Working knowledge of SAS programming. - Experience with clinical trial data, regulatory submissions, and quality control processes. - Strong analytical, problem-solving, and documentation skills.

Nice to have - Familiarity with R packages such as tidyverse, haven, or pharmaverse tools including admiral and tidyCDISC. - Experience with R Markdown, Shiny, or other reproducible reporting tools. - Exposure to GxP validation, Git, and automated workflows. - Experience in a contract research or pharmaceutical setting.