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Graduate Research Jobs in Quebec (NOW HIRING)

Altasciences

Clinical Research Nurse

Montreal, QC · On-site

Whether you're a recent college graduate or seeking your next career opportunity, it's time to ... The Clinical Research Nurse will execute tasks performed in compliance with study protocol, Good ...

Altasciences

Clinical Research Technician

Beaumont, QC · On-site

Whether you're a recent college graduate or seeking your next career opportunity, it's time to ... About the role The Clinical Research Technician will work with Clinic teams to execute clinical ...

Ecole de technologie superieure

ETS offers undergraduate and graduate programs focused on applied engineering as well as state-of-the-art research infrastructure. ETS is also home to the Centech, a business incubator, offering ...

Q-Block Computing

$150 - $200/hr

A university group typically assembles instruments one graduate student at a time, on equipment budgets that lag the state of the art by years. Q-Block Computing Research operates alongside a ...

Q Block

$150 - $200/hr

A university group typically assembles instruments one graduate student at a time, on equipment budgets that lag the state of the art by years. Q-Block Computing Research operates alongside a ...

Mcgill

Assistant Professor (CAS)

Sherbrooke, QC

Develop and teach (online) courses in the program or engage in the equivalent in special projects or applied research projects, as determined in consultation with the Graduate Program Director and ...

Mcgill

Assistant Professor (CAS)

Sherbrooke, QC · On-site

Develop and teach (online) courses in the program or engage in the equivalent in special projects or applied research projects, as determined in consultation with the Graduate Program Director and ...

Ecole de technologie superieure

CA$100K/yr

ETS offers undergraduate and graduate programs focused on applied engineering as well as state-of-the-art research infrastructure including quantum computers: one built by Anyon Systems, available ...

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All JobsGraduate Research JobsGraduate Research Jobs in Quebec

Graduate Research information

See Quebec salary details

$15.5K

$47.2K

$98K

How much do graduate research jobs pay per year?

As of Jul 13, 2026, the average yearly pay for graduate research in Quebec is $47,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $26,500.00 and $57,500.00 per year, depending on experience, location, and employer.

What does a graduate researcher do?

A graduate researcher conducts academic or scientific investigations as part of their graduate studies, often working in laboratories or research environments. They design experiments, analyze data, review literature, and contribute to advancing knowledge in their field, typically using tools like statistical software and research methodologies.

What jobs can you get with a masters in research?

A master's in research prepares individuals for roles such as research analyst, research scientist, data analyst, or project coordinator in various industries including healthcare, academia, and government. These positions typically require strong analytical skills, familiarity with research methodologies, and proficiency with data analysis tools like SPSS or R.

How to get research experience as a graduate?

Graduate research positions often require applicants to have relevant academic coursework, strong analytical skills, and proficiency with research tools such as statistical software. Gaining experience through internships, assisting faculty with projects, or participating in research labs can also improve your qualifications and competitiveness for research roles.

What is a graduate research position?

A graduate research position typically refers to a role held by a graduate student, such as a master's or doctoral candidate, in which they conduct original research under the supervision of a faculty member. These positions are often part of graduate degree programs and may involve laboratory experiments, data analysis, fieldwork, or scholarly writing. The goal is to contribute new knowledge to a specific field while developing advanced research skills. Graduate research positions can also provide financial support through stipends or assistantships.

What are the key skills and qualifications needed to thrive as a Graduate Researcher, and why are they important?

To thrive as a Graduate Researcher, you need a strong academic background in your field, critical thinking abilities, and experience with research methodologies, usually supported by enrollment in a graduate program. Proficiency with data analysis tools (such as SPSS, R, or MATLAB), academic databases, and referencing software is often required. Strong written and verbal communication, perseverance, and effective time management set standout researchers apart. These skills and qualities are crucial for producing high-quality research, meeting deadlines, and contributing meaningfully to academic or scientific advancements.

How much do graduate research assistants make in the US?

Graduate research assistants in the US typically earn between $20,000 and $35,000 per year, depending on the institution, field of study, and level of experience. Many positions also include stipends, tuition waivers, or benefits, and work schedules often involve part-time or full-time commitments during academic terms.

What are some common challenges faced by individuals in graduate research roles, and how can they be overcome?

Graduate research positions often involve managing complex projects with minimal supervision, which can be challenging for those new to independent work. Balancing research deadlines, coursework, and potential teaching responsibilities can also be demanding. To overcome these challenges, it's helpful to develop strong time management skills, proactively seek feedback from advisors, and collaborate with peers for support and idea exchange. Building a network within your department can also provide valuable guidance and resources throughout your research journey.
What are the most commonly searched types of Graduate Research jobs in Quebec? The most popular types of Graduate Research jobs in Quebec are:
What are popular job titles related to Graduate Research jobs in Quebec? For Graduate Research jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Graduate Research jobs in Quebec look for? The top searched job categories for Graduate Research jobs in Quebec are:
Graduate Research jobs near you
Applied Research Fellow

Applied Research Fellow

The Decision Lab

Montreal, QC

Other

Re-posted 13 days ago

Job description

Description
The Decision Lab is an applied research and innovation firm. We use behavioral science & AI to help ambitious organizations create a better future. We do this by working with some of the largest organizations in the world, carrying out research in priority areas, and running one of the largest publications in applied behavioral science. In the past, we have helped organizations such as the Gates Foundation, Capital One, the World Bank, and many Fortune 500s solve some of their thorniest problems using scientific thinking.

Everything we do at TDL is guided by SPICE: Socially conscious, Pragmatic, Inventive, Catalytic, and Evidence-based. You can read more about us and our core values here.

What you'll be working on
This internship is structured as an applied research placement, designed to complement graduate-level training and provide exposure to how behavioral science & AI are used outside of purely academic settings.

Many of our current projects sit at the intersection of behavioral science and AI, including human-AI interaction, algorithmic decision-making, and responsible AI. Our past work has included partnering with Mila to behaviorally optimize an AI-powered COVID-19 contact tracing app, and building Hikai, an AI-powered CBT chatbot for workplace mental health. 

We are also actively developing Artificial Populations, a platform that uses synthetic participants to run focus groups, surveys, and interviews - getting decision-ready insights in hours rather than weeks.

Fellows interested in gaining applied AI experience will find no shortage of opportunities to do so here. Interns work on clearly scoped projects under the supervision of senior staff and contribute to ongoing research and consulting initiatives like these, with an emphasis on learning-by-doing, methodological rigor, and translating academic insights into real-world contexts.

Broadly, the role involves a mix of:
Research & Analysis (approximately 60%)
  • Conducting structured literature reviews and evidence syntheses
  • Supporting experimental design, measurement strategies, and analysis plans
  • Assisting with behavioral diagnostics and research frameworks
  • Contributing to research notes, working papers, policy briefs, or public-facing research outputs
  • Participating in internal research discussions and reviews

Applied Research Translation & Consulting Exposure (approximately 40%)
  • Supporting applied research projects with public- and private-sector partners
  • Translating research findings into practical insights and recommendations
  • Preparing client-facing deliverables (reports, deck, briefs) that translate research into actionable insights for external partners
  • Observing how academic research is adapted for policy, organizational, or technological contexts

The balance between research and applied work may vary slightly depending on project needs and the intern’s academic background.
Hear From Our Fellows
Naga Thovinakere, Applied Research Fellow
Currently involved in a project with a health tech company
"TDL's fellowship program is a great fit for anyone wanting to apply scientific rigor beyond academia. You're not just learning about behavioral science in the abstract - you're getting exposure on how it is used to inform product decisions on actual consulting engagements. If you care deeply about methodological rigor but also want your work to drive meaningful outcomes, you'll find this experience especially rewarding."

Maya Low, Applied Research Fellow
Currently involved in a project with an AI research institute
“This fellowship is a great opportunity for PhD students looking to broaden their horizons both in a research discipline outside their own and in a working environment different from academia. It's been eye-opening to watch research translate into practice and to imagine new paths for myself after my degree. On top of that, everyone at TDL is genuinely welcoming and happy to talk about their work!”
Where Fellows Have Made an Impact
 
Hilary Sweatman, Ph.D. (Neuroscience, McGill University)
Hilary worked with one of the largest nonprofit foundations to develop a framework for evaluating digital support tools in higher education. The project focused on how psychosocial factors shape student decision-making and engagement with ed-tech tools, with an emphasis on designing interventions that improve student outcomes.

Catalina Eneström, Ph.D. (Experimental Psychology, McGill University)
Catalina worked with a major global beauty company to investigate how sensory experiences drive consumer behavior, conducting a systematic literature review and contributing to a journal article on the psychology behind sustainable beauty habits.

Qualifications
Must-haves:
  • Current late stage PhD student in a relevant discipline (e.g., psychology, AI, economics, public policy, cognitive science, behavioral science, data science, or a related field)
  • Familiarity with behavioral science concepts and methods, such as experimental design, causal inference, behavioral interventions, or decision-making research
  • Strong curiosity about AI - a tinkering mindset that makes you want to try things and see how they work
  • Strong analytical and critical thinking skills, including the ability to conduct literature reviews, research syntheses, or empirical analysis to support research questions
  • Clear written communication skills in English, particularly for research summaries and analytical writing
  • Ability to work independently on scoped research tasks while engaging collaboratively with a research team
  • Ability & desire to leverage AI tools (e.g. Cursor, Claude Code, etc.) to accelerate writing, coding & analysis work
 
Preferred (but not required)
  • Exposure to applied research, policy analysis, or consulting-style work
  • Familiarity with AI-related topics (e.g., human–AI interaction, algorithmic decision-making, misinformation, or responsible AI), though technical expertise is not required
  • Interest in applied, policy-adjacent, or non-academic research career pathways
  • We recognize that students come from diverse academic traditions. Candidates are not expected to meet every criterion to be considered a strong fit.
  
We're flexible on start dates but ideally looking for a September start, and happy to work around your academic schedule and program commitments.


How to apply
To apply, please submit:
  • A short CV (1–2 pages) outlining your academic background and relevant experience
  • A brief statement of interest (up to 200 words) describing:
  • Your academic focus and current program
  • Your interest in applied behavioral science research
  • How this internship aligns with your training or career goals
 
Please note that this position is unpaid because it is meant to target PhD students who are already funded - either by their home program or through special programs at their home institution (e.g., graduate internship fellowships, doctoral internship programs, mobility awards). We do not accept candidates who want to work for free, as this unfairly prioritizes those with privileged backgrounds. To this end, please indicate your source of funding in your statement.

Shortlisted candidates will be invited to a brief conversation to discuss research interests, supervision structure, and alignment with current projects.


TDL IS AN EQUAL-OPPORTUNITY EMPLOYER
Research has found that women and people from marginalized backgrounds are more likely to feel that they’re unqualified for a position if they can’t check 100% of the boxes on the posting. So we’re telling you directly: you don’t need to be the perfect candidate in order to be a good fit for this role. If you’re a curious, communicative, and passionate person who loves to write about science, we want to hear from you.

More About The Decision Lab

OUR VALUES
As a social enterprise, we have a deep-rooted belief that better decisions make a better world. However, improving decisions is a messy and difficult thing. For this reason, we have laid out a clear set of criteria for what constitutes good work. Our approach is inspired by many of the organizations and individuals we use as role models.
We believe that a good approach to creating social impact is SPICE: Socially conscious, Pragmatic, Inventive, Catalytic and Evidence-based. We use these criteria to evaluate ourselves, our work, the clients we choose to take on and the people we make part of our team. Read more about SPICE below:

Socially conscious
We create positive and fair outcomes for individuals, organizations and societies.
The outcomes that societies want to achieve are constantly being discussed and revised, always a work in progress. They are not defined from the outset or from the outside. For these outcomes to be sustainable, they must integrate societal, environmental and economic dimensions.

Pragmatic
We develop solutions that are practical, effective and attainable.
We are deeply committed to bringing our ideals to life. To do so, we let the problem be the guide for our attention. We are agnostic regarding approaches and dispassionate in our assessment of candidate solutions. This unwavering focus on the problem allows us to employ the full range of tools at our disposal, deploying the right ones for each context.

Inventive
We develop solutions that are not constrained by the current reality.
When no existing solution is adequate to the problem at hand, we must move from curation to creation. Success in these contexts requires a commitment to exploration and an openness to inspiration.

Catalytic
We develop solutions that spark rapid transition to a new paradigm.
When we reach a tipping point, a small nudge sparks a change from one equilibrium state to another. By starting small and iterating quickly, we manage the change in a deliberate and responsible manner, ensuring that the catalytic reaction is positive when unleashed at scale. We can also help manage the journey to the tipping point, creating pre-conditions for catalytic projects to take off.

Evidence-based
We develop solutions that use evidence as a compass.
We are deeply committed to using evidence to guide our actions. We build evidence in-house through robust experimentation, and integrate our findings into a wider body of knowledge, coming from many people and many places. This cohesive landscape of insights allows us to triangulate the best course of action.