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Research Manager Jobs in Quebec (NOW HIRING)

Manage and provide guidance on key outputs including the Annual Insight Report, newsletters and rapid-response communications * Review all research and non academic outputs to ensure the tone and ...

Manage and provide guidance on key outputs including the Annual Insight Report, newsletters and rapid-response communications * Review all research and non academic outputs to ensure the tone and ...

$120 - $160/hr

Director, Research & Development - Aerospace Organizational Unit: Aerospace Classification: MGT-2 ... The DRD oversees the management of 5 industrial wind tunnels that serves industrial and defence ...

New

We are seeking a Senior Machine Learning (ML) Research Scientist to join our team working on a ... management and tracking tools. * Strong communication skills, both written and verbal, with the ...

The Clinical Research Nurse will execute tasks performed in compliance with study protocol, Good ... Capable of managing multiple conflicting priorities. * Relevant industry experience a plus.

Summary Reporting to the Manager of R&D, the Scientist will focus on conducting quantitative and qualitative analyses using triple quadrupole and high-resolution mass spectrometry systems. The ...

$90 - $120/hr

Manage the R&D budget and external partners (suppliers, testing labs) as required * Drive continuous improvement of R&D processes, tools, and ways of working Qualifications * Bachelor's degree in ...

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Showing results 1-20

Research Manager information

See Quebec salary details

$34.5K

$76.6K

$122.5K

How much do research manager jobs pay per year?

As of Jul 15, 2026, the average yearly pay for research manager in Quebec is $76,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $77,500.00 per year, depending on experience, location, and employer.

Are research jobs high paying?

Research manager positions are generally well-paying roles, especially in industries like healthcare, technology, and finance. Salaries vary based on experience, education, and location, with advanced degrees and specialized skills often leading to higher compensation.

What Does a Research Manager Do?

A research manager is responsible for the management and coordination of internal and external research and projects. You may work in a variety of fields, including business, market, natural science, and clinical. You work with clients, develop strategy, and provide guidance throughout the project lifecycle. Your duties include collaborating with a team to evaluate work processes and creating reports on your findings. Other responsibilities are focusing on a quantitative research method. You ensure each project is delivered on time and within budget. Research managers make strategic recommendations based on their research and analytics and moderate key client meetings and presentations.

What does a Research Manager do?

A Research Manager oversees research projects from inception to completion, ensuring that objectives are met on time and within budget. They lead teams of researchers, coordinate project activities, and analyze data to produce actionable insights. Research Managers also communicate findings to stakeholders and often help design research methodologies. Their role is crucial for organizations that rely on data-driven decision-making.

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

To thrive as a Research Manager, you need strong project management, data analysis, and research methodology skills, often supported by an advanced degree in a relevant field. Familiarity with statistical software (such as SPSS, R, or SAS), research databases, and reporting tools is typically required. Exceptional communication, leadership, and problem-solving abilities help in managing teams, stakeholders, and complex projects. These competencies ensure research projects are executed efficiently, results are reliable, and insights drive informed decision-making.

What is the difference between Research Manager vs Research Analyst?

AspectResearch ManagerResearch Analyst
Required credentialsBachelor's or Master's degree in relevant field; often some experience in research managementBachelor's degree in related field; entry to mid-level position
Work environmentOversees research projects, manages teams, coordinates with stakeholdersConducts data collection, analysis, and reporting under supervision
Employer and industry usageUsed in corporate, academic, and market research settings for leadership rolesCommon in market research firms, consulting, and academic research

The main difference between a Research Manager and a Research Analyst lies in their responsibilities and experience level. Research Managers oversee entire projects and teams, requiring leadership skills and broader experience, while Research Analysts focus on data collection and analysis tasks. Both roles are essential in research environments, but they differ in scope and seniority.

What is the work of research manager?

A research manager oversees research projects, coordinates teams, develops research strategies, and ensures the accuracy and quality of data collection and analysis. They often use tools like statistical software and require strong organizational and leadership skills to meet project goals and deadlines.

How much do research managers make?

Research managers typically earn a median annual salary of around $85,000 to $120,000, depending on experience, industry, and organization size. Salaries can vary based on location, with higher compensation often found in major metropolitan areas, and may include benefits such as bonuses and professional development opportunities.

How much do research managers make in the US?

Research managers in the US typically earn a median annual salary of around $85,000 to $120,000, depending on experience, industry, and location. Senior roles or those in high-demand sectors can offer higher compensation, often supplemented with bonuses and benefits.

How does a Research Manager typically collaborate with cross-functional teams within an organization?

Research Managers often work closely with various departments such as marketing, product development, and data analytics to ensure that research initiatives align with overall business objectives. They coordinate project timelines, share research findings, and facilitate discussions to integrate insights into strategic decisions. Effective communication and stakeholder management skills are critical, as Research Managers serve as the bridge between research teams and other business units, ensuring that research outcomes are actionable and relevant.
What are the most commonly searched types of Research jobs in Quebec? The most popular types of Research jobs in Quebec are:
What are popular job titles related to Research Manager jobs in Quebec? For Research Manager jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Research Manager jobs in Quebec look for? The top searched job categories for Research Manager jobs in Quebec are:
What cities in Quebec are hiring for Research Manager jobs? Cities in Quebec with the most Research Manager job openings:
Infographic showing various Research Manager job openings in Quebec as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $76,630 per year, or $36.8 per hour.

Talent Pool - AI Safety Research & Governance

Adoc Talent Management

Montreal, QC

Full-time

Posted 28 days ago


Job description

ENGLISH VERSION BELOW

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Nous collaborons avec des instituts de recherche de pointe et des organisations visionnaires dediees au developpement d'une intelligence artificielle securitaire, benefique et controlable (AI Frontier Lab, Deeptech, Centres de recherche et consortiums au Canada et en Europe).
Ces organisations ne cherchent pas seulement a rendre l'IA plus puissante ; elles travaillent a attenuer ses risques et a s'assurer que les modeles de fondation demeurent robustes, interpretables et alignes avec le bien commun.

Pour repondre aux besoins de croissance de ces pionniers de l'ecosysteme IA, nous batissons un bassin de talents exclusif regroupant des experts en recherche fondamentale, en inference probabiliste et en ingenierie de pointe.

Domaines d'expertise recherches - Nous sommes continuellement a la recherche de profils d'exception dans les specialites suivantes :

  • Securite et Alignement de l'IA (AI Safety) : Interpretabilite mecanistique, robustesse des modeles, evaluation des risques et alignement des LLMs.
  • Inference Probabiliste : Quantification de l'incertitude, reseaux bayesiens, apprentissage causal et modelisation statistique avancee.
  • Recherche en Apprentissage Profond (Deep Learning) : NLP, modeles de fondation, architectures theoriques et apprentissage par renforcement.
  • Apprentissage Automatique Distribue : Passage a l'echelle (scaling), optimisation de l'entrainement sur clusters GPU et calcul haute performance.
  • Gouvernance de l'IA : connaissance des cadres de gouvernance (AI Act europeen, NIST AI RMF, etc.)

Votre profil

  • Vous detenez un Doctorat (PhD) ou une Maitrise avec forte composante recherche en informatique, mathematiques, statistiques ou dans un domaine connexe.
  • Vous avez publie ou contribue a des recherches presentees dans des conferences de niveau Tier-1 (NeurIPS, ICML, ICLR, AISTATS, ACL, etc.).
  • Vous possedez une base mathematique rigoureuse et une maitrise des environnements de recherche (Python, PyTorch, Tensorflow, JAX).
  • Vous etes profondement motive.e par les enjeux d'ethique, de securite et d'impact societal lies au deploiement de l'intelligence artificielle.

Pourquoi rejoindre ce bassin ?En soumettant votre candidature ici, vous nous permettez de vous considerer en priorite pour les postes (ouverts et confidentiels) chez nos partenaires axes sur la recherche fondamentale et la securite de l'IA. Nous vous contacterons directement lorsqu'une opportunite correspondra a vos travaux et a vos ambitions scientifiques.

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We collaborate with cutting-edge research institutes and visionary organizations dedicated to developing safe, beneficial, and controllable artificial intelligence (AI Frontier Labs, Deeptechs, Research Centers, and consortiums in Canada and Europe).

These organizations are not just looking to make AI more powerful; they are working to mitigate its risks and ensure that foundation models remain robust, interpretable, and aligned with the common good.

To support the growth of these pioneers in the AI ecosystem, we are building an exclusive talent pool of experts in fundamental research, probabilistic inference, and cutting-edge engineering.

Areas of expertise sought - We are continuously seeking exceptional profiles in the following specialties:

  • AI Safety & Alignment: Mechanistic interpretability, model robustness, risk evaluation, and LLM alignment.
  • Probabilistic Inference: Uncertainty quantification, Bayesian networks, causal learning, and advanced statistical modeling.
  • Deep Learning Research: NLP, foundation models, theoretical architectures, and reinforcement learning.
  • Distributed Machine Learning: Scaling, training optimization on GPU clusters, and high-performance computing.
  • AI Governance: Knowledge of governance frameworks (European AI Act, NIST AI RMF, etc.).

Your profile

  • You hold a PhD or a research-focused Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • You have published or contributed to research presented at Tier-1 conferences (NeurIPS, ICML, ICLR, AISTATS, ACL, etc.).
  • You possess a rigorous mathematical foundation and strong proficiency in research environments (Python, PyTorch, TensorFlow, JAX).
  • You are deeply driven by the ethical, safety, and societal impact challenges associated with the deployment of artificial intelligence.

Why join this talent pool?

By submitting your application here, you allow us to consider you as a priority for both open and confidential roles with our partners focused on fundamental research and AI safety. We will contact you directly when an opportunity aligns with your research and scientific ambitions.

Employment Type: FULL_TIME