Principal Data Scientist Consultant
About The Position
ClinChoice is searching for a Principal Clinical Data Scientist Consultant – R Programmer to join one of our clients. We are seeking a 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.
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
- The security and additional career opportunities that working for a global CRO can bring.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
Associate degree
