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

• Bachelor's 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

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