Principal Data Scientist Consultant- R programmer

Role Description

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. This position is open to remote candidates.

• 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.

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.
• 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.

Requirements

• 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.

The Application Process

Once you have submitted your CV, you will receive an acknowledgement that we have received it. If you have the requirements we need, you will be invited for a phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful.