Statistical Programming Intern

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    ProCogia

    AI Ambition. Made Possible.

    11-50 employeesFounded 2013Vancouver, British ColumbiaData Infrastructure and Analytics
    Actively hiringPaidSummer 2026Data Infrastructure and Analytics
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    Best applied by Sep 14

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    About the role#

    We are looking for a Statistical Programming Intern to join us for the summer of 2026. You will help us modernize analytical codebases by translating logic between SAS, R, and Python. This role focuses on building and testing AI-assisted workflows to improve how we translate, validate, and check the quality of our code.

    What you'll do#

    • Write and refine internal tools to translate code between SAS, R, and Python.
    • Read existing SAS programs to understand business logic and statistical methods before converting them to modern equivalents.
    • Design and test agentic workflows for code validation.
    • Verify that translated code is accurate by comparing outputs, checking edge cases, and cleaning logs.
    • Document your translation approaches and share your findings with senior consultants through demos and written guides.

    What you'll need#

    • Enrollment in a third-year or higher university program in Statistics, Data Science, Computer Science, Mathematics, Biology, or Biomedical Sciences.
    • Fluency in R, specifically using tidyverse to wrangle and reshape data.
    • Practical experience with interactive data analysis tools like Shiny and plotly.
    • Proficiency in reproducible analysis using Git and Quarto or R Markdown.
    • Familiarity with AI-assisted coding tools and an interest in applying them to development workflows.

    Location & details#

    • This is a paid, on-site internship based in Vancouver, British Columbia.
    • The term runs from July through December 2026.
    • This position does not offer visa sponsorship.

    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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