AI Intern, Applied & Agentic AI

ProCogia; Vancouver; On-site; CAD 26,000 - 37,000; Part time

Benefits offered by this job

On-site in Vancouver

Professional development opportunities

Competitive compensation

Job summary

ProCogia in Vancouver seeks a motivated Statistical Programming Intern to help modernize analytical code across SAS, R, and Python, with AI-assisted development tools. You will translate legacy SAS programs, design validation workflows, and collaborate with senior consultants on knowledge sharing; open to co-op starting July 2026.

Responsibilities include translating code, validating translations, and building internal tooling, with a focus on quality and reproducibility in a fast-paced data

Qualifications

• Currently enrolled in a university program in third year or above in Applied Statistics, Data Science, Biostatistics, Bioinformatics, Statistics, Computer Science, Mathematics or closely related field.
• Fluent in R for data work with idiomatic tidyverse to wrangle, join, reshape variables and derive insights.
• Comfortable with R idioms—dataframes, factors, dates; able to produce analysis-ready tables and graphics.
• Experience with interactive data analysis tools like Shiny and Plotly is a plus.
• Proficiency with reproducible analysis—Git for version control, Quarto or R Markdown.

Responsibilities

• Translate and modernize analytical code between SAS, R, and Python; contribute to internal workflows and tooling.
• Read and reason about existing SAS programs; understand business logic and translate to modern equivalents.
• Design, test, and refine AI-assisted workflows for code translation, validation, and quality checks.
• Validate translated code by comparing outputs, handling edge cases, and documenting the translation fidelity.
• Collaborate with senior consultants to document patterns and share knowledge via demos or documentation.

Skills

R proficiency

Python basics

Git skills

Problem solving

Communication

Education

University program; third year or higher in Applied Statistics, Data Science, Biostatistics, Bioinformatics, Statistics, Computer Science, Mathematics

Tools

SAS

Shiny

Plotly

Quarto

R Markdown

Job description

About ProCogia:

We help businesses transform data into real growth!

Our clients operate in high-stakes, highly regulated industries (such as telecom, financial services, life sciences, and more), where precision, compliance, and measurable outcomes are non-negotiable. We partner with them by embedding expert data science, engineering, and AI talent directly into projects that matter.

We’re a diverse, close-knit team with a shared goal: delivering top-class, end-to-end data solutions. We don’t just analyse data, we push the boundaries of what’s possible, helping clients unlock new value and insights.

When you join ProCogia, you’ll find a supportive, growth-driven environment where your ideas are welcomed, and your development is prioritized. We offer competitive salaries, generous benefits and perks for personal and professional development.

If you’re ready to unleash your potential and work at the cutting edge of data consulting, we’d love to meet you!

The core of our culture is maintaining a high level of cultural equality throughout the company. Our diversity and differences allow us to create innovative and effective data solutions for our clients.

Our Core Values: Trust, Growth, Innovation, Excellence, and Ownership

AboutProCogia

We’re a diverse, close-knit team with a common pursuit of providing top-class, end-to-end datasolutions for our clients. In return for your talent and technicalexpertise, you will be rewarded with a competitive salary, generous benefits along withample opportunityfor personaldevelopment. ‘Growth mindset’ is something weseekin all our new hires and has helped drive much of our recent growth across North America. Our distinct approach is to pushthe limits andvaluederived from data. Working withinProCogia’sthriving environment willallow you to unleash your full career potential. ProCogiahas experienced considerable growth over the last three years& coretoourcultureismaintaininga high levelof cultural equality throughout the company. Our diversityand differences allow us to create innovative and effective data solutions for our clients.

Location: Vancouver (On-site)

Job Summary

We are seeking a motivated and curious Statistical Programming Intern to join our team from July – December 2026. If the co-op is available in July, we would like them to start early and work for part of the summer as well as the defined co-op term from September-December. In this role, you will contribute to the development of internal workflows and tooling that help modernize analytical codebases across SAS, R, and Python, with a particular focus on using AI-assisted development tools to improve translation, testing, and workflow efficiency.

Key Responsibilities

• Contribute to internal workflows and tools that help us translate and modernize analytical code between SAS, R, and Python.
• Readand reasonaboutexisting SAS programs — understanding the business logic, statistical methods, data transformations, and workflow structure — and help translate them into modern equivalents.
• Help design, test, and refine AI-assisted and agentic workflows for code translation, validation, and quality checking.You’llwork alongside the team on internal projects first, with the chance to contribute to client-facing work as you ramp up.
• Validate that translated code is correct — comparing outputs against the original, checking edge cases,cleaninglogs, and documenting how you know the translation is faithful. This validation discipline is the heart of the work.
• Work with senior consultants to document patterns, write up translation approaches, and contribute to knowledge-sharing within the team — through demos, internal walkthroughs, or written documentation.

What You Bring

• Currently enrolled in a university program inthird year or above inApplied Statistics, Data Science, Biostatistics, Bioinformatics, Statistics, Computer Science, Mathematics, or a closely related field.
• Fluent in R for data work — idiomatictidyverseto wrangle, join, reshape, and derive variables, with clear reasoning about the statistical operation behind each step.
• Comfortable across R’s idioms – vectors, dataframes/tibbles, factors, dates, and at least one class from S3/S4/R6.You produceanalysisready tables and graphics.
• Hands on experience withinteractive data analysis is plus such as Shinyandplotly
• Comfortable withreproducible analysis — Git for version control, Quarto or R Markdown
• Knowledge of SAS is anasset, butwedon’texpect you to walk in with deep SAS experience. We expect you to be curious about itwith agenuinewillingnessto learn SAS on the job.
• Exposure to clinical data context is a plus — CDISC SDTM/ADaMorpharmaversepackages
• Exposure to AI-assisted coding tools (Claude, ChatGPT, GitHub Copilot, Cursor, or similar) and an interest in using them thoughtfully as part of a development workflow.
• Some experience with LLMs, prompt engineering, or building automated workflows
• Strong problem-solving skills and the ability to work through ambiguity in a hands-on, fast-pacedtechnical environment.
• Good written and verbal communication — comfortable explaining your work to teammates, asking questions, and writing things down clearly.

Strongly preferred

• Working knowledge of Python is a plus — translation work involves all three languages, and bilingualR+Pythoncandidates ramp fastest.
• Hands-on experience with SAS — even at the coursework level. Reading SAS, working with PROC steps and DATA steps, or having translated SAS code before.
• Interest in regulated industries (pharma, clinical research, life sciences, financial services) where statistical programming and code quality really matter.

Compensation- $23/hour

ProCogia is proud to be an equal-opportunity employer. We are committed to creating a diverse and inclusive workspace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.