[Remote] Principal Data Scientist Consultant- R programmer (Remote)

Note: The job is a remote job and is open to candidates in USA. ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical and biotechnology companies. They are seeking a Principal Clinical Data Scientist Consultant – R Programmer to develop and maintain clinical datasets, generate reports, and contribute to open-source tools in a collaborative environment.

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

Skills

• 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
• 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

Company Overview

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