About The Position

ClinChoice is seeking a Principal Clinical Data Scientist Consultant – R Programmer to join one of our clients. This role is part of the Scientific Computing Technology group, which develops open-source tools, R packages, SAS macros, and computing systems for clinical programming, data management, and biostatistics. The position combines hands-on clinical deliverables with contributions to open-source and internal tooling for the clinical technical community. The ideal candidate possesses strong R skills, extensive clinical programming experience, familiarity with Python, and an interest in modern, reproducible workflows. This position is open to remote candidates.

Requirements

  • 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.
  • Experience with Pinnacle21 validation and remediation.
  • Working knowledge of SAS programming.
  • Working knowledge of Python for analytics, scripting, or tooling.
  • Solid understanding of CDISC standards (SDTM, ADaM) and metadata-driven programming.
  • Experience with clinical trial data, regulatory submissions, and QC processes.
  • Strong analytical, problem-solving, and documentation skills.

Nice To Haves

  • Broader pharmaverse experience (e.g., tidyCDISC, rtables) and tidyverse fluency.
  • Experience building or contributing to R Shiny apps, teal modules, or R packages used by other teams.
  • Exposure to AI/ML tooling in a clinical or programming context.
  • Real-World Evidence (RWE) experience — e.g., mapping Flatiron or claims/EHR data into CDISC-aligned structures.
  • R Markdown, Quarto, or other reproducible reporting workflows.
  • GxP validation, Git-based version control, and CI/CD or automated workflows.
  • CRO or pharmaceutical industry experience.

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.

Benefits

  • Security and additional career opportunities that working for a global CRO can bring.
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