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Data Science Research Assistant Jobs in Quebec (NOW HIRING)

Implementation Science. The Research Assistant 1 under the supervision of Assistant Professor ... Data Extraction: Extract and manage data from selected articles, ensuring the accuracy and ...

Research Assistant 2

Montreal, QC ยท On-site +1

CA$32.15/hr

Key Responsibilities 1- Data Processing & Analysis * Perform quality control, alignment, and ... MSc or PhD in Bioinformatics, Computational Biology, Computer Science, or a related field. * Strong ...

Research Assistant 2

Montreal, QC ยท On-site +1

CA$32.15/hr

Key Responsibilities 1- Data Processing & Analysis * Perform quality control, alignment, and ... MSc or PhD in Bioinformatics, Computational Biology, Computer Science, or a related field. * Strong ...

... science) or equivalent training and experience. - Experience in a clinical or research setting ... Ability with databases and electronic data capture tools (e.g. REDCap, spreadsheets) is required ...

... science) or equivalent training and experience. - Experience in a clinical or research setting ... Ability with databases and electronic data capture tools (e.g. REDCap, spreadsheets) is required ...

Master's degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Operations Research, Economics, or another related STEM field Experience * 2+ years of hands-on experience in data ...

Within the Data Lab, you will work in a modern data ecosystem with multidisciplinary teams (data ... A master's degree in a relevant field (mathematics, science, engineering, operations research ...

... in Computer Science, Statistics, Mathematics, Engineering, Operations Research, Economics, or ... Experience mentoring Data Scientists and shaping technical standards beyond individual project ...

... data science and incorporate them into your work. * Tool and Platform Maintenance: Assist in ... research, statistics, geomatics or related field), or an equivalent combination of education and ...

... data science and incorporate them into your work. * Tool and Platform Maintenance: Assist in ... research, statistics, geomatics or related field), or an equivalent combination of education and ...

... quality data generation. Working alongside experts in proteomics and bioinformatics, you will ... If you are passionate about analytical science and thrive in a collaborative, fast-paced ...

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Data Science Research Assistant information

See Quebec salary details

$16.5K

$83.5K

$192.5K

How much do data science research assistant jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data science research assistant in Quebec is $83,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $123,500.00 per year, depending on experience, location, and employer.

What does a data science research assistant do?

A Data Science Research Assistant supports research projects by gathering, cleaning, and analyzing data using statistical and computational techniques. They assist senior researchers with designing experiments, developing models, and interpreting results. Typical tasks include data preprocessing, coding in languages like Python or R, literature reviews, and creating visualizations to summarize findings. Their work helps advance scientific knowledge and inform decision-making based on data-driven insights.

What is the difference between Data Science Research Assistant vs Data Analyst?

AspectData Science Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or higher in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, marketing firms, finance, healthcare
Common Search & ComparisonYesNo

Data Science Research Assistants typically focus on supporting research projects through data collection, analysis, and modeling in academic or research settings. Data Analysts primarily interpret data to help organizations make business decisions. While both roles require strong analytical skills and knowledge of data tools, the research assistant role emphasizes academic research and experimentation, whereas data analysts focus on business insights and reporting.

What are the key skills and qualifications needed to thrive as a data science research assistant?

To thrive as a Data Science Research Assistant, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or related fields). Familiarity with tools such as Python, R, Jupyter Notebooks, and data visualization libraries as well as experience with version control systems like Git is typical, and coursework or certifications in data science can be beneficial. Attention to detail, problem-solving ability, and strong communication skills are essential to effectively analyze data, interpret results, and collaborate with research teams. These skills and qualities are critical for producing reliable insights, supporting research objectives, and ensuring the integrity of data-driven projects.

How does a data science research assistant typically collaborate with other team members during a research project?

Data Science Research Assistants frequently work alongside data scientists, research leads, and subject matter experts to support ongoing research. Their responsibilities often include cleaning and preprocessing data, performing exploratory analyses, and implementing models. Regular collaboration occurs through team meetings, code reviews, and sharing findings, ensuring alignment with project goals. Open communication and adaptability are essential, as priorities and datasets can shift based on project needs.
What are the most commonly searched types of Data Science Research jobs in Quebec? The most popular types of Data Science Research jobs in Quebec are:
What are popular job titles related to Data Science Research Assistant jobs in Quebec? For Data Science Research Assistant jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Science Research Assistant jobs in Quebec look for? The top searched job categories for Data Science Research Assistant jobs in Quebec are:
What cities in Quebec are hiring for Data Science Research Assistant jobs? Cities in Quebec with the most Data Science Research Assistant job openings:
Infographic showing various Data Science Research Assistant job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $83,537 per year, or $40.2 per hour.

Research Assistant 1

Mcgill

Sherbrooke, QC โ€ข On-site

Part-time

Posted 13 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).

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.