Statistical Programming Intern
Core
Develop internal workflows and tools to translate and modernize analytical code between SAS, R, and Python, with a focus on using AI-assisted development tools for translation, testing, and validation.
Role type
Statistical Programming Intern (Co-op)
Builds
Internal code translation workflows and validation tooling
Domain
Data Science / Statistical Programming / Regulated Industries (Life Sciences, Pharma)
Deliverable
production ML models
Required skills
R (tidyverse, S3/S4/R6 classes), SAS (willingness to learn), Python (preferred), Git, Quarto/R Markdown, AI-assisted coding tools
Preferred skills
Python, SAS (PROC/DATA steps), CDISC SDTM/ADaM, pharmaverse packages, LLMs/prompt engineering, clinical data context
Technologies
SAS, R, Python, Git, Quarto, Shiny, plotly, Claude, ChatGPT, GitHub Copilot, Cursor
Responsibilities
Translate existing SAS programs into modern R/Python equivalents; Design and test AI-assisted workflows for code translation and validation; Validate translated code outputs against originals; Document translation patterns and approaches
Seniority
Intern