Principal Data Scientist Consultant- R programmer (Remote)

About this role

Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds...

ClinChoice is searching for a Principal Clinical Data Scientist Consultant – R Programmer to join one of our clients.

We are seeking a Clinical R programmer / Principal Clinical Data Scientist to join our Scientific Computing Technology group, which builds the open-source tools, R packages, SAS macros, and computing systems that power clinical programming, data management, and biostatistics across the organization. Reporting to the Director of Statistical Programming, this role blends hands-on clinical deliverables with contributions to the open-source and internal tooling that supports the wider clinical technical community. The ideal candidate has strong R skills, deep clinical programming experience, working Python familiarity, and an interest in modern, reproducible workflows. This position is open to remote candidates.

Key Responsibilities

• Develop, validate, and maintain SDTM and ADaM datasets in R — using admiral and the broader pharmaverse — following CDISC standards.

• Generate Tables, Listings, and Figures (TLFs) in R or SAS as required by study needs.

• Perform Pinnacle21 validation, resolve findings, and refine specifications to ensure CDISC compliance and submission readiness.

• Write efficient, reproducible, well-structured R code for clinical data analysis and reporting.

• Contribute to open-source and internal tooling — including R Shiny / teal modules, R packages, SAS macros, and Python utilities — used by clinical programming, data management, and biostatistics teams.

• Partner with statisticians, data managers, and clinical teams to translate programming requirements into reliable deliverables.

• Perform QC, reconcile data issues, and ensure outputs meet regulatory expectations (e.g., FDA, EMA).

• Support automation, pipeline development, and version-controlled workflows.

• Use SAS for legacy studies or where SAS support is needed.

Required Qualifications

• Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related field.

• 5+ years in clinical programming, with a strong focus on R.

• Proven experience producing SDTM and ADaM datasets in R, including hands-on use of admiral.

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