ClinChoice

CRO

PrincipalDataScientistConsultantRprogrammer

United Kingdom Remote Friendly
The Brief

“Principal Data Scientist Consultant- R programmer at ClinChoice. Skills: R programming, clinical programming, SDTM and ADaM datasets, CDISC standards, Pinnacle21 validation. 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”

What You'll Achieve.

ensure CDISC compliance and submission readiness; ensure outputs meet regulatory expectations

Industry & Context.

CRO
Problems you'll solve

problem-solving skills; analytical

What They're Looking For.

Must Have

Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related field, 5+ years in clinical programming, with a 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, analytical, problem-solving, and documentation skills

Nice to Have

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

What You'll Do.

and maintain SDTM and ADaM datasets in R — using admiral and the broader pharmaverse — following CDISC standards

and Figures (TLFs) in R or SAS as required by study needs

Perform Pinnacle21 validation

and refine specifications to ensure CDISC compliance and submission readiness

well-structured R code for clinical data analysis and reporting

Contribute to open-source and internal tooling — including R Shiny / teal modules

and Python utilities — used by clinical programming

and biostatistics teams

reconcile data issues

and ensure outputs meet regulatory expectations (e.g.

and version-controlled workflows

Use SAS for legacy studies or where SAS support is needed

How You'll Work.

Team & Collaboration

Partner with statisticians, data managers, and clinical teams to translate programming requirements into reliable deliverables

Free ATS check

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