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Machine Learning Part Time Jobs in Quebec (NOW HIRING)

Research Assistant 2

Montreal, QC · On-site +1

CA$32.15/hr

... machine learning, and single-cell biology. * Opportunities for co-authorship on high-impact ... (Part time) Monday, Thursday, Friday Location: Montreal Neuro. Supervisor: Assistant Professor ...

Research Assistant 2

Montreal, QC · On-site +1

CA$32.15/hr

... machine learning, and single-cell biology. * Opportunities for co-authorship on high-impact ... (Part time) Monday, Thursday, Friday Location: Montreal Neuro. Supervisor: Assistant Professor ...

Machine Learning Part Time information

See Quebec salary details

$20K

$109.1K

$212.5K

How much do machine learning part time jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning part time in Quebec is $109,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $156,000.00 per year, depending on experience, location, and employer.

What is a machine learning part time job?

A Machine Learning Part Time job is a role where individuals work on ML-related tasks with a flexible or reduced schedule. These roles can involve data preprocessing, model development, evaluation, or deployment, depending on the organization's needs. Part-time positions are often suitable for students, freelancers, or professionals looking to gain experience while managing other commitments. They may be remote or on-site and can vary in duration and workload.

What are the key skills and qualifications needed to thrive in the machine learning part time position, and why are they important?

To thrive as a Machine Learning Part Time professional, you need a strong foundation in statistics, programming (often Python or R), and knowledge of core machine learning algorithms, typically demonstrated through a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, Scikit-learn, or PyTorch and experience with data preprocessing tools or cloud platforms are commonly expected, and certifications like TensorFlow Developer can be beneficial. Effective communication, time management, and the ability to work independently are key soft skills for success in this role. These competencies enable you to efficiently contribute to projects, solve complex problems, and collaborate remotely or in hybrid team environments.

What are the typical responsibilities and expectations for a part-time machine learning role?

In a part-time machine learning position, you are generally expected to assist with data preprocessing, model development, and analysis of project results under the guidance of a senior data scientist or engineer. Your tasks might include cleaning datasets, coding algorithms, running experiments, and preparing reports or presentations for team meetings. The work is often project-based and requires regular communication with team members to ensure alignment on objectives and deliverables. This structure allows you to gain hands-on experience with real-world datasets and industry tools while maintaining a flexible schedule, making it ideal for students or professionals transitioning into the field.

What are the most commonly searched types of Machine Learning jobs in Quebec? The most popular types of Machine Learning jobs in Quebec are:
What are popular job titles related to Machine Learning Part Time jobs in Quebec? For Machine Learning Part Time jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Machine Learning Part Time jobs in Quebec look for? The top searched job categories for Machine Learning Part Time jobs in Quebec are:
What cities in Quebec are hiring for Machine Learning Part Time jobs? Cities in Quebec with the most Machine Learning Part Time job openings:
Infographic showing various Machine Learning Part Time job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $109,070 per year, or $52.4 per hour.

Research Assistant 2

Mcgill

Montreal, QC • On-site, Remote

CA$32.15/hr

Part-time

Posted 18 days ago


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.