Statistical Programmer RBQM programming

Key Responsibilities

• Develop and maintain R programs to support RBQM (Risk based Quality Management) for clinical trial data
• Collaborate with cross-functional teams to understand and implement project-specific data needs
• Provide technical expertise and support for data analysis and reporting tasks
• Perform quality control and validation of outputs to ensure accuracy and consistency
• Contribute to process improvements and development of programming standards using R

Qualifications

• Bachelors degree in a quantitative field (e.g. Statistics Mathematics Computer Science Data Science)
• Minimum of 3 years of experience in R programming including familiarity with R packages (e.g. Tidyverse ggplot2 survival)
• Familiarity with data visualization techniques and tools in R
• Experience with clinical trial data
• Knowledge in Industry R packages like ADMIRAL and OAK
• Strong analytical and problem-solving skills
• Excellent communication and teamwork abilities

Desirable Skills

• Knowledge of other open-source packages and tools
• Experience with SAS software
• Familiarity with CRAN POSIT and other open-source repositories and products

Learn more about our EEO & Accommodations request here .

Required Experience:

IC