Principal Statistical Programmer, R Programming

Location: Durham, North Carolina, United States of America

Salary: $98,200–$273,200 annual base pay

Company

hirify.global provides clinical research services, commercial insights, and healthcare intelligence for the life sciences and healthcare industries.

What you will do

• Develop, update, and validate R packages for clinical trial analysis, including SDTM, ADaM, tables, figures, listings, submission packages, and data review.
• Build complex R-Shiny applications, dashboards, and animations for clinical questions, Health Authority requirements, and decision-making.
• Generate submission-ready statistical outputs using R Markdown and similar tools.
• Lead R implementation and train other statistical programming team members.
• Write and review application specifications and documentation while collaborating with clinical, statistical, and data management stakeholders.
• Create and validate safety and efficacy outputs and global tools that improve the efficiency and capacity of statistical programming.

Requirements

• Strong experience in R programming and package or application development for clinical trial data.
• Strong programming skills in R, R Shiny, and R Markdown, including applying R and R Shiny to clinical trial analysis and reporting.
• Strong data visualization and data wrangling skills, with proficiency in R packages for data exploration and visualization.
• Knowledge of statistical methodology and clinical trial analysis.
• Advanced knowledge of CDISC data structures and experience creating or validating ADaM and TLF outputs aligned with protocols, SAPs, aCRFs, and study documentation.
• Experience with clinical trial and drug development studies is desirable.

Culture & Benefits

• Full-time employment with base pay dependent on qualifications, location, and schedule.
• Potential incentive plans, bonuses, and other compensation may be available.
• Health and welfare benefits may be provided.
• Equal opportunity employment and a commitment to integrity in the hiring process.