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Part Time Data Science Jobs in Quebec (NOW HIRING)

The McGill RISE3 Implementation Science Lab, led by Dr. Guillaume Fontaine, is seeking a part-time ... Data Extraction: Extract and manage data from selected articles, ensuring the accuracy and ...

New

The McGill RISE3 Implementation Science Lab, led by Dr. Guillaume Fontaine, is seeking a part-time ... Data Extraction: Extract and manage data from selected articles, ensuring the accuracy and ...

New

... part-time junior analyst position with expertise in collecting and analyzing qualitative data on ... scientific research questions; * communication skills to coordinate with team members to build a ...

... part-time junior analyst position with expertise in collecting and analyzing qualitative data on ... scientific research questions; * communication skills to coordinate with team members to build a ...

Research Technician

Montreal, QC

CA$33.05 - CA$40.97/hr

This position is a part-time, 3-month replacement contract. Major Duties and Responsibilities ... Records results, performs calculations, and compiles data. * Maintains individual study records for ...

New

Research Technician

Montreal, QC · On-site

CA$33.05 - CA$40.97/hr

This position is a part-time, 3-month replacement contract. Major Duties and Responsibilities ... Records results, performs calculations, and compiles data. * Maintains individual study records for ...

New

Part Time Data Science information

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to improve model performance efficiently.

What Are Part-Time Data Science Jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.

Is 40 too late for data science?

Part time data science roles are accessible at any age, including at 40, provided you have relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can enhance your prospects regardless of age.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists with skills in programming, statistical analysis, and machine learning remain essential for developing and managing AI systems. The profession is evolving to include more focus on complex problem-solving, domain knowledge, and ethical considerations.

What are the key skills and qualifications needed to thrive as a Part Time Data Scientist, and why are they important?

To thrive as a Part Time Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.

Can you work part-time as a data scientist?

Yes, data science is a field that offers part-time opportunities, especially for freelance or contract roles. These positions often require skills in programming, statistics, and tools like Python or R, and may have flexible schedules to accommodate part-time work arrangements.
What are the most commonly searched types of Data Science jobs in Quebec? The most popular types of Data Science jobs in Quebec are:
What are popular job titles related to Part Time Data Science jobs in Quebec? For Part Time Data Science jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Part Time Data Science jobs in Quebec look for? The top searched job categories for Part Time Data Science jobs in Quebec are:
Infographic showing various Part Time Data Science job openings in Quebec as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Research Assistant 1

Mcgill

Sherbrooke, QC • On-site

Part-time

Posted 3 days ago

New


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).

Hiring Manager's Name: Prof. Guillaume Fontaine, RN, PhD

Job Title: Research Assistant 1

Start Date: September 1st., 2026

End Date: August 2, 2027

Number of Work Hours per Week: up to 14 hours per week .

Location of Work: On site (Montreal) .

Hourly Rate: $30.54.

The McGill RISE3 Implementation Science Lab, led by Dr. Guillaume Fontaine, is seeking a part-time (21 hours) Research Assistant 1 to support the ambitious AI Methods for Implementation Science (AIM-IS) program. The AIM-IS program brings together an international team of leading scholars and collaborators to develop a framework, toolkit, and reporting standard for the responsible use of artificial intelligence (AI) in implementation practice and research. This is an exciting opportunity for a researcher who wants to contribute to field-shaping work at the intersection of implementation science, AI, and methodology. The study protocol for this work is published in Implementation Science:

Fontaine, G., Michie, S., Beidas, R. S., et al. (2026). AI Methods for Implementation Science (AIM-IS): Developing a framework, toolkit, and reporting standard for the responsible use of AI in implementation practice and research. Implementation Science.

The Research Assistant 1 under the supervision of Assistant Professor Guillaume Fontaine will be entrusted with a range of responsibilities integral to the successful execution and completion of ongoing and upcoming research projects related to implementation science.

The following outlines the core duties that the Research Assistant will be expected to perform:

1. Knowledge Syntheses and Systematic Reviews:

Screening: Conduct screening of articles to identify relevant resources, employing defined inclusion and exclusion criteria.

Data Extraction: Extract and manage data from selected articles, ensuring the accuracy and completeness of information for qualitative and quantitative analysis.

Quality Assessment: Evaluate the quality of included studies and prepare summaries of findings.

2. Project Coordination:

Planning: Assist in the planning and design of research projects, including the development of methodologies and protocols.

Communication: Coordinate communication between project stakeholders, team members, and external partners.

Monitoring: Track project progress and ensure that milestones and objectives are met timely and efficiently.

3. Writing and Documentation:

Drafting: Assist in writing research papers, reports, and proposals, ensuring clarity, coherence, and compliance with relevant guidelines.

Editing: Review and edit documents, making necessary revisions to enhance quality and accuracy.

Submission: Prepare and submit manuscripts to journals, handling correspondence during the submission and review process.

4. Administrative Tasks:

Documentation: Maintain comprehensive records of project activities, findings, and outcomes.

Scheduling: Organize meetings, seminars, and workshops, managing invitations and logistics.

Reporting: Prepare periodic reports detailing project status, challenges, and achievements.

5. Data Management:

Collection: Assist in data collection processes, ensuring ethical considerations and quality standards are upheld.

Security: Ensure data security, confidentiality, and integrity, adhering to data management policies.

About Dr. Fontaine and the RISE Lab:

Dr. Guillaume Fontaine, PhD, RN, is an Assistant Professor of Implementation Science at the Ingram School of Nursing at McGill University and a Principal Investigator at the Centre for Clinical Epidemiology at the Lady Davis Institute. Prof. Fontaine holds a Junior 1 Research Scholar award from the FRQS, supported by the Quebec Learning Health System Support Unit (SSA Quebec Unit). Additionally, he is a Visiting Researcher at the Kirby Institute, UNSW Sydney, and the Centre for Implementation Research at the Ottawa Hospital Research Institute. He serves on the editorial board of PLOS Global Public Health. Prof. Fontaine completed his clinical training and earned his PhD in health services research at the University of Montreal, where he was a Vanier Scholar of CIHR. After his PhD, Prof. Fontaine completed a CIHR Banting Postdoctoral Fellowship that included work at the University of Ottawa and UNSW Sydney.

Qualifications :

Required Qualifications:

  • MSc in a health-related discipline (e.g., Public Health, Epidemiology, Nursing) or Social Sciences (e.g., Sociology, Psychology)

  • Experience in qualitative research methods

  • Experience in knowledge synthesis methods is an asset

  • Excellent written and oral communication skills

  • Strong analytical and problem-solving skills

Ability to work both independently and as part of a team.

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 day to day duties may require English communication both verbally and in writing. The level of English required for this position has been assessed at a level # 4(qualifier) on a scale of 0-4.

Hourly Salary:

$30.54

Hours per Week:

14 (Part time)

Location:

Sherbrooke 680

Supervisor:

Assistant Professor

Position Start Date:

2026-09-01

Position End Date:

2027-08-02

Deadline to Apply:

2026-08-05

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.