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Remote Research Intern Jobs in Ontario (NOW HIRING)

M31 AI

Technical Research Assistant

Toronto, ON · On-site +1

CA$25 - CA$28/hr

We're seeking a full-time Research Intern to support biomedical AI research involving clinical EHR ... Hybrid remote - Toronto, ON (M5S 1A8) Compensation: CA$25-28/hour, based on experience Benefits:

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Protopia

... research Assist with delivering the product Do good by helping people get their resumes into shape ... remote but occasionally can be found at The Frontier & HQ Raleigh coworking spaces.

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Remote Research Intern information

What is a remote research intern?

Remote research interns are students or recent graduates who assist in academic or industry research projects while working from a location outside the traditional office or laboratory setting. They typically carry out tasks such as data collection, literature reviews, data analysis, and report writing under the supervision of a mentor or research lead. This role offers flexibility and allows interns to gain valuable research experience and contribute to ongoing studies using virtual collaboration tools. Remote research internships are common in fields like social sciences, computer science, public health, and more. These positions help interns develop research skills, enhance their resumes, and build professional networks remotely.

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

To thrive as a Remote Research Intern, you typically need strong analytical abilities, academic research experience, and proficiency in data collection, often supported by enrollment in a relevant degree program. Familiarity with tools like Microsoft Office, Google Workspace, citation management software, and sometimes basic statistical or data visualization programs is advantageous. Strong communication, self-motivation, and time management skills help interns excel in a remote environment and collaborate effectively. These skills and qualities are crucial for delivering high-quality research outcomes while working independently and meeting deadlines.

What are common challenges faced by remote research interns, and how can they be addressed?

Remote Research Interns often encounter challenges such as limited access to in-person mentorship, difficulty maintaining regular communication, and managing their own schedules effectively. To overcome these, it's helpful to establish clear expectations with your supervisor, schedule regular virtual check-ins, and use project management tools to stay organized. Proactively seeking feedback and participating in online team discussions can also enhance your learning experience and help you stay connected with the team.

What is the difference between Remote Research Intern vs Remote Data Analyst?

AspectRemote Research InternRemote Data Analyst
Required CredentialsTypically pursuing or recent graduate in relevant fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentRemote, often part-time or internship settingRemote, full-time or project-based roles
Employer & Industry UsageResearch institutions, universities, startupsTech companies, finance, healthcare, consulting
Common Search & ComparisonYesNo

The main difference is that a Remote Research Intern typically focuses on assisting with research projects, data collection, and literature reviews, often as a student or recent graduate. In contrast, a Remote Data Analyst analyzes data sets to generate insights, requiring more advanced data skills and experience. Both roles are remote and industry-relevant, but they serve different functions within organizations.

What are the most commonly searched types of Remote Research jobs in Ontario?

The most popular types of Remote Research jobs in Ontario are:

What are popular job titles related to Remote Research Intern jobs in Ontario?

For Remote Research Intern jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Remote Research Intern jobs in Ontario look for?

The top searched job categories for Remote Research Intern jobs in Ontario are:

What cities in Ontario are hiring for Remote Research Intern jobs?

Cities in Ontario with the most Remote Research Intern job openings:

Remote Research Intern jobs near you
Infographic showing various Remote Research Intern job openings in Ontario as of August 2026, with employment types broken down into 11% Internship, 37% Full Time, and 52% Part Time. Highlights an 100% Remote job distribution.

Technical Research Assistant

M31 AI

Toronto, ON • On-site, Remote

CA$25 - CA$28/hr

Full-time

Posted 3 days ago

New

Job description

Read the full description before applying.

MUST HAVE: Experience with deep learning (transformers, CNNs, U-Net), clinical electronic health records (EHR) and/or 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 support biomedical AI research involving clinical EHR (labs, flowsheets, clinical notes) and imaging data (histopathology and radiology). The role will involve running experiments with large-scale foundation models. 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

  • Train deep learning models and run experiments
  • Collaborate with research partners to collect, preprocess, and harmonize structured and unstructured clinical data, pathology and radiology images.
  • Conduct literature search to identify and summarize SOTA architecture and  
  • Work closely with data scientists and clinicians to ensure scientific and clinical relevance
  • 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 Engineering, Computer Science, Mathematics, Biomedical Engineering, Computational Biology or a related field
    • Strong programming experience in Python and ML frameworks (e.g., PyTorch, TensorFlow, MONAI)
    • Strong understanding of deep learning architecture (Transformers, CNNs, U-Net)
    • 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

    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


    Apply