... Programming Intern to join our team from July - December 2026. In this role, you will contribute to ... Fluent in R for data work -- idiomatic tidyverse to wrangle, join, reshape, and derive variables ...
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... Programming Intern to join our team from July - December 2026. In this role, you will contribute to ... Fluent in R for data work -- idiomatic tidyverse to wrangle, join, reshape, and derive variables ...
Co-Op Opportunities
Burnaby, BC · On-site
Were seeking Co-Op students from multiple disciplines (Design/Engineering, GIS, Software, and related programs). Whether youre looking for your first industry placement or ready to level up your ...
Quick apply
Co-Op Opportunities
Burnaby, BC · On-site
Were seeking Co-Op students from multiple disciplines (Design/Engineering, GIS, Software, and related programs). Whether youre looking for your first industry placement or ready to level up your ...
Co-Op Opportunities
Burnaby, BC · On-site +1
We're seeking Co-Op students from multiple disciplines (Design/Engineering, GIS, Software, and related programs). Whether you're looking for your first industry placement or ready to level up your ...
Co-Op Opportunities
Burnaby, BC · On-site +1
We're seeking Co-Op students from multiple disciplines (Design/Engineering, GIS, Software, and related programs). Whether you're looking for your first industry placement or ready to level up your ...
Intern R Programmer information
What are the key skills and qualifications needed to thrive as an Intern R Programmer, and why are they important?
To thrive as an Intern R Programmer, you need a solid understanding of statistical analysis, data manipulation, and proficiency in R programming, often supported by coursework in statistics, computer science, or related fields. Experience with data visualization libraries (such as ggplot2), familiarity with version control systems like Git, and knowledge of data wrangling packages are typically expected. Strong problem-solving skills, attention to detail, and effective communication help you work collaboratively and present complex results clearly. These skills are crucial for producing accurate analyses, supporting team projects, and contributing meaningful insights from data.
What types of projects and tasks can an Intern R Programmer expect to work on during their internship?
As an Intern R Programmer, you'll typically assist with data cleaning, exploratory data analysis, and the development of scripts or reports using R. Interns often collaborate closely with data scientists, analysts, or research teams to support larger projects such as statistical modeling, data visualization, and automation of routine processes. You may also help maintain documentation and contribute to code reviews, gaining exposure to best practices in programming and data analysis. These experiences offer valuable opportunities to learn industry-standard workflows and build foundational skills for a future career in data science or analytics.
What is the difference between Intern R Programmer vs Data Analyst?
| Aspect | Intern R Programmer | Data Analyst |
|---|---|---|
| Required Credentials | Basic programming skills, coursework in R | Bachelor's in statistics, data science, or related field |
| Work Environment | Internship setting, entry-level projects | Full-time or part-time, corporate or research settings |
| Employer & Industry Usage | Tech companies, research institutions, startups | Business, finance, healthcare, marketing |
| Common Search & Comparison Intent | Entry-level R programming roles, internships | Data analysis tasks, career progression |
The Intern R Programmer typically focuses on learning and assisting with R programming tasks in an internship setting, requiring basic coding skills. In contrast, a Data Analyst often has a broader role involving data interpretation, reporting, and decision-making, usually requiring a degree in a related field. Both roles are common in tech and research industries, but they differ in experience level and scope of responsibilities.
What does an Intern R Programmer do?
An Intern R Programmer assists in developing and maintaining data analysis scripts using the R programming language. They often work with teams to clean, organize, and analyze datasets, generate reports, and support research or business projects. As an intern, they may also learn best practices in coding, documentation, and testing while gaining practical experience in statistical analysis and data visualization. Their work helps organizations make data-driven decisions and gain insights from large or complex datasets.
Full-time, Internship
Posted 6 days ago
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
About ProCogia
We're a diverse, close-knit team with a common pursuit of providing top-class, end-to-end data solutions for our clients. In return for your talent and technical expertise, you will be rewarded with a competitive salary, generous benefits along with ample opportunity for personal development. 'Growth mindset' is something we seek in all our new hires and has helped drive much of our recent growth across North America. Our distinct approach is to push the limits and value derived from data. Working within ProCogia's thriving environment will allow you to unleash your full career potential. ProCogia has experienced considerable growth over the last three years & core to 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.
Location: Vancouver (On-site)
Job Summary
We are seeking a motivated and curious Statistical Programming Intern to join our team from July – December 2026. 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.
- Read and reason about existing 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'll work 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, cleaning logs, 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 in third year or above in Applied Statistics, Data Science, Biostatistics, Bioinformatics, Statistics, Computer Science, Mathematics, or a closely related field.
- Fluent in R for data work — idiomatic tidyverse to wrangle, join, reshape, and derive variables, with clear reasoning about the statistical operation behind each step.
- Comfortable across R's idioms – vectors, data frames / tibbles, factors, dates, and at least one class from S3/S4/R6. You produce analysis ready tables and graphics.
- Hands on experience with interactive data analysis is plus such as Shiny and plotly
- Comfortable with reproducible analysis — Git for version control, Quarto or R Markdown
- Knowledge of SAS is an asset, but we don't expect you to walk in with deep SAS experience. We expect you to be curious about it with a genuine willingness to learn SAS on the job.
- Exposure to clinical data context is a plus — CDISC SDTM/ADaM or pharmaverse packages
- 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-paced technical 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 bilingual R+Python candidates 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.