Statistical Programming Intern
Core
Intern role focused on modernizing analytical codebases by translating SAS programs into R and Python, utilizing AI-assisted development tools for validation and workflow efficiency.
Role type
Statistical Programming Intern
Builds
Internal workflows and tooling for code translation and validation
Domain
Data consulting, life sciences, clinical research
Deliverable
production ML models
Required skills
R (tidyverse, data frames, S3/S4/R6 classes), SAS (basic reading/understanding), Python (preferred), Git, Quarto/R Markdown, AI-assisted coding tools
Preferred skills
Python, SAS (PROC/DATA steps), CDISC SDTM/ADaM, LLMs/prompt engineering, clinical data context
Technologies
SAS, R, Python, Git, Quarto, R Markdown, Shiny, plotly
Responsibilities
Translate SAS programs to modern equivalents (R/Python), design and test AI-assisted workflows for code validation, validate translated code outputs, document translation approaches and patterns
Seniority
Intern
