[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
Company H1B Sponsorship