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Computer Programmer Co Op Jobs in Montreal, QC (NOW HIRING)

Research Assistant 2

Montreal, QC · On-site +1

CA$32.15/hr

... Biology, Computer Science, or a related field. * Strong programming skills in R and/or Python ... Opportunities for co-authorship on high-impact publications and involvement in grant writing and ...

Research Assistant 2

Montreal, QC · On-site +1

CA$32.15/hr

... Biology, Computer Science, or a related field. * Strong programming skills in R and/or Python ... Opportunities for co-authorship on high-impact publications and involvement in grant writing and ...

Showing results 41-45

Computer Programmer Co Op information

What is a computer programmer co op?

A Computer Programmer Co Op is a student or entry-level position that allows individuals to gain hands-on experience in computer programming while still completing their education. Co Op positions typically involve working with experienced developers on real projects, writing and testing code, and learning about software development processes. These roles are designed to bridge the gap between academic learning and professional work, helping students develop technical and teamwork skills. Co Op terms usually last for a semester or summer and may be paid or unpaid, depending on the company. This experience can significantly enhance a student's employability after graduation.

What types of projects can a computer programmer co op expect to work on during their placement?

As a Computer Programmer Co Op, you can expect to be involved in a variety of projects ranging from debugging existing code, developing new software features, or assisting with automated testing. You'll often work under the guidance of experienced developers, contributing to real-world applications and gaining hands-on experience with current development tools and practices. Collaboration with cross-functional teams, such as QA, design, and product management, is common, providing valuable exposure to the software development lifecycle and team-based problem solving.

What are the key skills and qualifications needed to thrive as a computer programmer co op, and why are they important?

To thrive as a Computer Programmer Co Op, you need a foundational understanding of programming languages such as Java, Python, or C++, along with coursework or experience in computer science. Familiarity with version control systems like Git, integrated development environments (IDEs), and basic debugging tools is typically expected. Strong problem-solving abilities, teamwork, and effective communication help you succeed in collaborative and learning-focused environments. These skills and qualities enable Co Op programmers to contribute meaningfully to projects while rapidly developing their technical and professional capabilities.

What are popular job titles related to Computer Programmer Co Op jobs in Montreal, QC?

For Computer Programmer Co Op jobs in Montreal, QC, the most frequently searched job titles are:

What job categories do people searching Computer Programmer Co Op jobs in Montreal, QC look for?

The top searched job categories for Computer Programmer Co Op jobs in Montreal, QC are:

Infographic showing various Computer Programmer Co Op job openings in Montreal, QC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, 4% Contract, and 2% Nights. Highlights an 75% Physical, 2% Hybrid, and 23% Remote job distribution.

Research Assistant 2

Mcgill

Montreal, QC • On-site, Remote

CA$32.15/hr

Part-time

This job post has expired today. Applications are no longer accepted.


Job description

Please refer to theHow to Apply for a Job (for External Candidates)job aid for instructions on how to apply.

If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).

The Zandee lab is seeking a skilled and motivated Research Assistant to support data analysis and pipeline development for cutting-edge research in neuroinflammation, multiple sclerosis, and neurodegeneration. The RA will work closely with Dr. Stephanie Zande, lab members, and external collaborators to process, analyze, and interpret large-scale transcriptomic, single-cell, and spatial omics datasets.

Key Responsibilities

1- Data Processing & Analysis

  • Perform quality control, alignment, and quantification of bulk and single-nucleus RNA-seq datasets.
  • Conduct differential expression, clustering, trajectory inference, cell type annotation, and pathway enrichment analyses.

2- Pipeline Development & Maintenance

  • Develop and maintain reproducible and scalable pipelines (e.g., using Snakemake, Nextflow, or custom scripts).
  • Automate common data processing workflows in bash, R, or Python.
  • Maintain version control using GitHub and contribute to internal documentation.

3- Collaboration & Communication

  • Work closely with lab members to provide analytical support and interpret results.
  • Generate figures and summaries for presentations, publications, and grant applications.

4- Data Management & Infrastructure

  • Organize and back up sequencing data and analysis results using lab-approved systems.
  • Ensure adherence to data security and compliance protocols.

Preferred Qualifications

  • MSc or PhD in Bioinformatics, Computational Biology, Computer Science, or a related field.
  • Strong programming skills in R and/or Python; experience with shell scripting.
  • Hands-on experience with sc/snRNA-seq analysis tools (e.g., Seurat, Scanpy, Cell Ranger).
  • Familiarity with high-performance computing environments and job scheduling systems.
  • Knowledge of Git/GitHub, version control, and reproducible research practices.
  • Excellent organizational and communication skills; ability to work independently and in teams.
  • Interest in neuroscience, immunology, or multi-omics data integration is a plus.

Work Environment & Opportunities

  • The position is embedded in an interdisciplinary research team with projects spanning neuroinflammation, machine learning, and single-cell biology.
  • Opportunities for co-authorship on high-impact publications and involvement in grant writing and collaborations.
  • Flexible work arrangements (e.g., hybrid or remote-friendly) can be discussed depending on project needs.

This position is covered by the AMURE collective agreement: http://www.aerum-amure.ca/wp-content/uploads/2023/07/AMURE-2023-2027.pdf

Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located.
McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing. The level of English required for this position has been assessed at a level 3 on a scale of 0-4.

Hourly Salary:

$32.15

Hours per Week:

21 (Part time) Monday, Thursday, Friday

Location:

Montreal Neuro.

Supervisor:

Assistant Professor (Research)

Position Start Date:

2026-08-31

Position End Date:

2027-08-30

Deadline to Apply:

2026-08-16

This position is covered by the Association ofMcGill University Research Employees(AMURE) collective agreement.

McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca.