Lead R Statistical Programmer for Clinical Trials & Shiny

IQVIA LLC; Durham, Northern (NC, KY); Hybrid; USD 98,000 - 273,000; Full time

Job summary

IQVIA LLC is seeking a Principal Statistical Programmer for R development to drive advanced data analysis in clinical trials. You will lead R package development, build R-Shiny dashboards, and generate submission-ready outputs.

Collaboration with statisticians, data managers, and clinicians is essential to meet regulatory standards. The role requires strong expertise in R, R-Shiny, and CDISC standards, with hands-on responsibilities for ADaM, TLFs, SDTM, and data visualization.

Qualifications

• Strong experience in R programming and package/application development for clinical trial data.
• Proven ability to develop and validate R packages for CRO or Pharmaceutical Industry.
• Experience applying R-Shiny for analysis and reporting in clinical studies.

Responsibilities

• Develop, update or validate R packages for clinical trial analysis (SDTM, ADaM, tables, listings, figures).
• Build complex R-Shiny applications (dashboards) for clinical questions and Health Authority needs.
• Generate submission-ready outputs using R-Markdown or similar tools.
• Lead implementation in R and train other team members.
• Write specifications and document applications; collaborate with stakeholders.
• Conduct statistical programming of clinical data using R; verify safety/efficacy outputs.

Skills

R programming

R Shiny

R Markdown

Data visualization

Tools

R packages

SDTM

ADaM

R Shiny

TLFs

R Markdown

Job description

IQVIA LLC is seeking a Principal Statistical Programmer for R development to drive advanced data analysis in clinical trials. You will lead R package development, build R-Shiny dashboards, and generate submission-ready outputs.

Collaboration with statisticians, data managers, and clinicians is essential to meet regulatory standards. The role requires strong expertise in R, R-Shiny, and CDISC standards, with hands-on responsibilities for ADaM, TLFs, SDTM, and data visualization.