Remote Ca Science intern Jobs – 6 Openings This Week

Research Technical Intern
M31 AI —Toronto, ON
- $25–$28 an hour
- Full-time
- Hybrid work
- Computer science
- Doctoral degree
- Computer Science
- Flexible schedule
Quick apply
Stagiaire en intelligence artificielle et science des données
Sentiom Inc. —Montréal, QC
- $21–$27 an hour
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
- Work from home
- Flexible schedule
Quick apply
4d
January 2027 - Scientific Research & Experimental Design (Non-CPA) - 8 month Co-op - Toronto
PwC —Toronto, ON
- $59,000–$69,000 a year
- Full-time
- Remote
- Business development
- Accounting
- Communication skills
- Disability insurance
- Dental care
January 2027 - Scientific Research & Experimental Design (Non-CPA) - 8 month Co-op - Montreal
PwC —Montréal, QC
- Full-time
- Remote
- Business development
- Accounting
- Communication skills
- Disability insurance
- Dental care
January 2027 - Scientific Research & Experimental Design (Non-CPA) - 8 month Co-op - Vancouver
PwC —Vancouver, BC
- $55,000–$65,000 a year
- Full-time
- Remote
- Business development
- Accounting
- Communication skills
- Disability insurance
- Dental care
January 2027 - Scientific Research & Experimental Design (Non-CPA) - 8 month Co-op - Calgary
PwC —Calgary, AB
- Full-time
- Remote
- Business development
- Accounting
- Communication skills
- Disability insurance
- Dental care

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Winter 2027 - Co-Op - Science & Environment - Durham Region
Ontario Power Generation —Bowmanville, ON
To help prevent any potential delays in the security clearance process, candidates will be required to obtain their government-issued physical documents,…
$33.60–$44.77 an hour
14h
Winter 2027 - Co-Op - Computer Science & IT - Durham Region
Ontario Power Generation —Bowmanville, ON
To help prevent any potential delays in the security clearance process, candidates will be required to obtain their government-issued physical documents,…
$33.60–$44.77 an hour
14h

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Research Technical Intern

M31 AI
Toronto, ON

Quick apply

Job details

Full-time | Contract
$25–$28 an hour

Qualifications

Computer science
Data integration
Doctoral degree
Computer Science
PyTorch
Engineering
Git
Research
Master's degree
SQL
EMR/EHR
Bachelor's
Report and presentation preparation
Deep learning
Written report writing
Data analytics
GitHub
Data visualization
AI
Communication skills
Python
Data Science

Full job description

Read the full description before applying.

MUST HAVE: Experience with SQL, Python, machine learning and handling clinical electronic health records (EHR) and imaging data.

At M31 Biomedical AI, we are redefining how artificial intelligence understands human health and biology. Our models power universal segmentation and imaging analysis across multiple medical modalities to uncover new biological and clinical insights.

We’re seeking a full-time Research Intern to to support biomedical AI research involving clinical electronic health records (labs, flowsheets, clinical notes) and imaging data (histopathology and radiology).

The role will involve analyzing and curating data for model pretraining and contributing to machine learning experiments. You’ll be working with a diverse team of AI researchers, clinicians, and computational biologists to explore how deep learning can advance personalized medicine and healthcare for patients.

This position is ideal for someone passionate about biomedical AI, multi-modal data, and collaborative, high-impact research.

What You’ll Do

Collaborate with research partners to collect, preprocess, and harmonize structured and unstructured clinical data and pathology and radiology images.

Conduct exploratory data analysis and develop data visualizations for assessing data integrity Work closely with data scientists and clinicians to ensure scientific and clinical relevance

Support machine learning experiments and model development

Discover, validate and implement new AI tools to improve workflow efficiency

Document and maintain reproducible workflows using Git, Python, and cloud-based tools

Contribute to publications, internal reports, and presentations summarizing key findings

Create clear, compelling presentations and visualizations that translate highly technical results for both clinical and technical audiences

Why Join Us

Be part of a leading biomedical imaging AI company recognized for its foundational work in universal segmentation

Collaborate with top academic and hospital research teams on cutting-edge multi-modal AI projects

Gain exposure to large, high-quality datasets spanning medical imaging and clinical data Work in a mission-driven environment that bridges scientific research and real-world healthcare impact

Enjoy flexible work arrangements, mentorship, and opportunities for authorship and recognition

Required Skills & Background

Undergraduate degree or currently pursuing a master’s or PhD (or equivalent experience) in Data Science, Computer Science, Biomedical Engineering, Computational Biology, Epidemiology or a related field

Strong programming experience in SQL and Python and familiarity with deep learning frameworks (e.g., PyTorch, MONAI, Transformers)

Background in analyzing biomedical or life science data Understanding of at least one of the following domains: Clinical data (EHR, laboratory results, disease outcomes) Medical imaging (MRI, CT, pathology, etc.) Experience with data management, reproducibility, and collaborative code development

Excellent problem-solving, communication, and teamwork skills

Nice-to-Have

Experience with foundation models or large-scale pretraining

Biomedical domain knowledge (disease pathophysiology, human anatomy, cellular biology)

Experience with agentic coding tools (Claude Code, Codex)

Previous work involving multi-institutional datasets

Publication record in AI, biomedical imaging, or computational biology

Application Requirements

Resume/CV Cover letter describing your experience and motivation for working on patient-centric clinical foundation models GitHub portfolio or publications (optional but encouraged)

About M31 Biomedical AI is a biomedical imaging company developing foundation models for medical image segmentation and analysis. Our technology enables universal understanding of medical images across modalities and institutions. We’re now collaborating with leading research partners to extend this vision beyond imaging to include multi-modal clinical data, in order to advance patient healthcare, understand complex diseases and improve therapeutic discovery.

Job Type: Full-time (12-month renewable contract)

Location: Hybrid remote – Toronto, ON (M5S 1A8)

Compensation: CA$25 - $28/hour, based on experience

Benefits: Flexible schedule

Work-from-home option

Mentorship and publication opportunities

Website: https://m31.bio/

Pay: $25.00-$28.00 per hour

Work Location: Hybrid remote in Toronto, ON M5S 3K1

Quick apply

Refine Your Search

science intern jobs in remote ca

Research Technical Intern

Stagiaire en intelligence artificielle et science des données

January 2027 - Scientific Research & Experimental Design (Non-CPA) - 8 month Co-op - Toronto

January 2027 - Scientific Research & Experimental Design (Non-CPA) - 8 month Co-op - Montreal

January 2027 - Scientific Research & Experimental Design (Non-CPA) - 8 month Co-op - Vancouver

January 2027 - Scientific Research & Experimental Design (Non-CPA) - 8 month Co-op - Calgary

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