About the role#
We are seeking a Statistical Programming Intern to join our team for the Summer 2026 term. This role focuses on modernizing analytical codebases by translating logic between SAS, R, and Python. You will work alongside senior consultants to develop and refine internal tools, with an emphasis on incorporating AI-assisted workflows into the development process.
What you'll do#
- Contribute to internal workflows and tools designed to translate and modernize analytical code between SAS, R, and Python.
- Read and interpret existing SAS programs to understand their business logic, statistical methods, and data transformations.
- Design, test, and refine AI-assisted and agentic workflows for code translation, validation, and quality checking.
- Validate translated code by comparing outputs against original versions, checking edge cases, and documenting the integrity of the translation.
- Collaborate with senior consultants to document coding patterns, write translation approaches, and contribute to team knowledge-sharing through internal demonstrations and documentation.
What you'll need#
- Current enrollment in a university program (third year or above) in Applied Statistics, Data Science, Biostatistics, Bioinformatics, Computer Science, Mathematics, or a related field.
- Fluency in R for data work, including idiomatic tidyverse usage to wrangle, join, reshape, and derive variables.
- Experience with interactive data analysis tools such as Shiny and Plotly.
- Proficiency in reproducible analysis practices, including Git for version control and Quarto or R Markdown.
- Exposure to AI-assisted coding tools and a demonstrated interest in applying them thoughtfully within a development workflow.
- Strong problem-solving skills and the ability to navigate technical ambiguity.
- Clear written and verbal communication skills.
Location & details#
- Location: Vancouver, British Columbia (On-site).
- Term: Summer 2026.
- Compensation: $23/hour.
About ProCogia
ProCogia is a consulting firm focused on data infrastructure and analytics. Founded in 2013, the company assists organizations with data engineering, artificial intelligence, and machine learning projects. It operates from a headquarters in Vancouver and maintains teams across North America, India, and Ireland. The firm serves clients in sectors including finance, life sciences, and technology.
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