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
Learn more about our EEO & Accommodations request here.
