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Data Science Research Intern Jobs in Quebec (NOW HIRING)

Charles River Laboratories, Inc.

Prepare, review, and finalize draft and final reports documenting all study procedures, data, and ... We have built upon our foundation of laboratory animal medicine and science to develop a diverse ...

Calliere

This role lives where research meets infrastructure: you'll form hypotheses, test them fast with ... A Bachelor's or Master's in Computer Science, Data Science, Mathematics, or a comparable field. Who ...

hireVouch

Software Engineer - Research

Montreal, QC · On-site

This role sits at the intersection of research and infrastructure: you'll form hypotheses, prove ... Bachelor's or Master's in Computer Science, Data Science, Mathematics, or a related discipline. Who ...

New

TELUS

Staff Applied AI/ML Scientist

Quebec, QC · On-site

Support the evolution of Data science and AI products by influencing product roadmap through prioritizing features to meet business needs, recommending latest industry research, tools and best ...

Charles River Laboratories, Inc.

Job Overview As a Research Scientist for our Immunogenicity team at the Senneville location, you ... Write scientific documents, review and interpret the raw data; * Write, review, and edit stand ...

Mcgill

Research Assistant 1

Sherbrooke, QC · On-site

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 ...

Charles River Laboratories, Inc.

Job Overview As a Research Scientist for our Immunotoxicology team at the Senneville location, you ... Write scientific documents, review and interpret the raw data; * Write, review, and edit stand ...

LawZero

Senior ML Research Scientist

Montreal, QC

Analyze and interpret experimental data in order to steer future research questions and objectives ... Advanced degree in a relevant field (e.g., Computer Science, Mathematics). A PhD is preferred but ...

Calliere

This role lives where research meets infrastructure: you'll form hypotheses, test them fast with ... A Bachelor's or Master's in Computer Science, Data Science, Mathematics, or a comparable field. \n ...

Artefact

Sr Data Analyst

Montreal, QC

... scientists, data engineers, and digital experts are all dedicated to bringing extra value to every ... Research and develop new technical approaches to address challenges efficiently in the marketing ...

Charles River Laboratories, Inc.

Job Overview As a Research Scientist for our Discovery team at the Senneville location, you will ... Write scientific documents, review and interpret the raw data; * Write, review, and edit stand ...

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All JobsData Science Research Intern JobsData Science Research Intern Jobs in Quebec

Data Science Research Intern information

How do data science research interns typically collaborate with full-time data scientists and engineering teams?

Data Science Research Interns often work closely with full-time data scientists to support ongoing projects, contribute to research discussions, and assist in developing analytical models. They may also interact with engineering teams to understand data pipelines, verify data integrity, and help implement prototypes into production environments. Regular meetings, code reviews, and paired problem-solving sessions are common, providing interns with valuable mentorship and exposure to real-world workflows. This collaborative environment helps interns build both technical and communication skills while making meaningful contributions to the team's goals.

What does a data science research intern do?

A Data Science Research Intern works on analyzing data, building predictive models, and supporting research projects under the guidance of experienced data scientists. Their tasks often include cleaning and visualizing data, implementing machine learning algorithms, and evaluating model performance. Interns may also help with literature reviews, prototyping new solutions, and presenting findings to the team. This role provides hands-on experience with real-world datasets and the opportunity to learn industry-standard tools and techniques.

What skills and qualifications are needed to thrive as a data science research intern?

To thrive as a Data Science Research Intern, you need a solid grounding in statistics, programming (typically Python or R), and data analysis, usually backed by coursework or a degree in a quantitative field. Familiarity with tools like Jupyter Notebooks, machine learning libraries (e.g., scikit-learn, TensorFlow), and version control systems (e.g., Git) is commonly expected. Strong problem-solving abilities, curiosity, and effective communication make candidates stand out by enabling them to tackle complex problems and share insights clearly. These skills are essential for contributing meaningful research, collaborating with team members, and translating data findings into actionable results.
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 Intern jobs in Quebec? For Data Science Research Intern jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Science Research Intern jobs in Quebec look for? The top searched job categories for Data Science Research Intern jobs in Quebec are:
What cities in Quebec are hiring for Data Science Research Intern jobs? Cities in Quebec with the most Data Science Research Intern job openings:
Data Science Research Intern jobs near you
Infographic showing various Data Science Research Intern 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.

Machine Learning Research Scientist

Valence Labs

Montreal, QC • Hybrid

Full-time

Re-posted 9 days ago

Job description

About Valence Labs

Valence Labs is Recursion's frontier AI research engine. We lead high-impact research
programs designed to materially expand Recursion's ability to discover and develop medicines for complex diseases. Our team balances near-term pragmatism with a long-term view of where the field is heading in the next 3-5 years, incubating, designing, and productizing the approaches we believe will define the future of drug discovery. 

Our work is driven by optimism, purpose, and a shared vision for a healthier tomorrow. We publish in top journals and conferences, contribute to open science, and engage with some of the world's most active ML-for-drug-discovery research communities. Our teams are based in London and Montreal, with deep ties to Mila, the world's largest deep-learning research institute.

About the role

We are seeking a Research Scientist with a hybrid research-engineering mindset to join our team. In this role, you will be at the forefront of developing generative architectures and foundation models that ground machine learning in real-world biological discovery. 

A successful candidate will have most of the following:

  • PhD (or equivalent) with significant academic or industry research experience in a related technical field involving machine learning applied to drug discovery.
  • Scientific knowledge of biology, chemistry, or physics, along with previous experience working in a scientific environment across disciplines.
  • Impactful research track record, including designing new neural networks to model molecular or biological systems, proposing new theories, or applying novel ML techniques to real-world problems.
  • Strong technical and engineering skills, including the ability to rapidly prototype ML models (Python proficiency required; Rust preferred for high performance molecular encoding or data pipelines).
  • Leadership and communication skills, including a lead authorship record in peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR) or journals (e.g., Nature, Science, JACS).
  • Interdisciplinary empathy, with a proven ability to work effectively with interdisciplinary teams of dry and wet scientists.

Key Responsibilities 

  • Model Innovation: Research and develop state-of-the-art architectures (e.g., flow matching, diffusion models, geometric deep learning) tailored to specific biological or chemical challenges.
  • Scalable Engineering: Build and maintain ML systems capable of processing massive datasets on high-performance compute clusters (BioHive).
  • Biological Grounding: Ensure ML predictions are biologically trustworthy and actionable by collaborating closely with drug discovery teams.
  • Open Science & Collaboration: Publish findings in top-tier venues and contribute to the broader scientific community. 

Working Location & Compensation:

This is an office-based, hybrid position at either of our offices located in Montreal, Quebec, Canada. Employees are expected to work in the office at least 50% of the time.

Compensation packages are competitive and commensurate with the skills and level of experience required for this role. In addition to base salary you will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

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