Junior Data Scientist

Responsibilities

• Design, build, and enhance modular Shiny applications for interactive visualization and reporting of clinical datasets (e.g., Tables, Listings, Figures)
• Implement intuitive, high-performance UI/UX features such as filtering, drill-down, bookmarking, and export options (CSV, XLSX, PDF, RTF)
• Support data integration and pooling of clinical data sources using R and Python to create standardized, analysis-ready datasets
• Collaborate with cross-functional clinical development teams to ensure accuracy, traceability, and reproducibility in all data workflows
• Participate in quality control, testing, and deployment on Posit Connect or equivalent environments
• Contribute to automation and continuous integration efforts to streamline analytical delivery
• 3-5 years of professional or academic experience developing Shiny applications in R.
• Strong proficiency in R (tidyverse, data.table, ggplot2) and understanding of Shiny reactivity and modular design.
• Basic proficiency in Python (pandas, NumPy) for data transformation or validation
• Familiarity with Git, version control, and collaborative coding practices