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Remote Research Assistant Jobs in Toronto, ON (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:

Resolver

Research Analyst

Toronto, ON · On-site +1

CA$80K - CA$100K/yr

The Research Analyst will provide data and insight that drives and enables optimal sales and ... Day-to-day, everyone is given the option to decide whether they want to work remote or in-office ...

Wing Assistant

GTM Sales Associate

Toronto, ON · Remote

Comfort reaching out to companies that may not have considered remote assistants, virtual assistants, offshore talent, or AI-enabled workforce solutions before. * Strong research skills and the ...

GL Inc

Consumer Research Associate (Remote)

Oakville, ON · Remote

CA$25 - CA$45/hr

Market research companies that partner with us will use questionnaires to identify and target certain types of consumers, to ensure that the right participants are engaged and to achieve the ...

GL Inc

Consumer Research Associate (Remote)

Brampton, ON · Remote

CA$25 - CA$45/hr

Market research companies that partner with us will use questionnaires to identify and target certain types of consumers, to ensure that the right participants are engaged and to achieve the ...

GL Inc

Consumer Research Associate (Remote)

Oshawa, ON · Remote

CA$25 - CA$45/hr

Market research companies that partner with us will use questionnaires to identify and target certain types of consumers, to ensure that the right participants are engaged and to achieve the ...

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Remote Research Assistant information

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$32

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How much do remote research assistant jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for remote research assistant in Toronto, ON is $32.57, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $33.03 per hour, depending on experience, location, and employer.

What is a remote research assistant?

Remote research assistants are professionals who support research projects by performing tasks such as data collection, literature reviews, data analysis, and report writing from a remote location. They collaborate with researchers, professors, or organizations using digital tools and communication platforms. This role allows for flexibility in location and often accommodates various fields of study, including social sciences, medicine, and business. Remote research assistants are valued for their ability to provide crucial support while working independently and efficiently.

What does a remote research assistant do?

The job responsibilities of a remote research assistant involve working to collect and analyze information in support of a business, study, or research project. As a virtual research assistant, you work from home and perform your research duties via the internet. Your duties in the private sector may be to assist a business in conducting market research on the industry and compile a database of relevant information. In academic research, you may collect data and review existing literature and reports. A legal researcher, meanwhile, gathers data from past legal cases.

What are the key skills and qualifications needed to thrive as a remote research assistant, and why are they important?

To thrive as a Remote Research Assistant, you need strong analytical skills, attention to detail, and a relevant educational background, such as a degree in a related field. Familiarity with research databases, data analysis tools (like Excel or SPSS), and collaborative platforms such as Google Workspace or project management software is often required. Excellent written communication, time management, and self-motivation are standout soft skills for remote work. These skills ensure high-quality research outputs, efficient collaboration, and successful independent task completion in a virtual environment.

How do remote research assistants typically collaborate with their teams despite working from different locations?

Remote Research Assistants frequently use digital tools such as project management platforms, video conferencing, and shared document systems to stay connected with their teams. Regular virtual meetings and clear communication protocols help ensure everyone is aligned on project goals and deadlines. While the physical distance can be challenging, most teams establish structured check-ins and encourage open communication to maintain productivity and foster a sense of teamwork. Adapting to different time zones and proactively sharing updates are also common expectations in this role.

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

AspectRemote Research AssistantRemote Data Analyst
Required CredentialsBachelor's degree in relevant field, research experienceBachelor's or higher in data science, statistics, or related field
Work EnvironmentRemote, often in academic or research institutionsRemote, in corporate, healthcare, or tech industries
Employer & Industry UsageUniversities, research firms, nonprofitsBusinesses, market research firms, tech companies
Common Search & ComparisonYesNo

The main difference between a Remote Research Assistant and a Remote Data Analyst lies in their focus and industry. Remote Research Assistants typically support academic or research projects with data collection and literature review, while Remote Data Analysts interpret data to inform business decisions. Both roles require analytical skills and remote work capabilities, but their industry applications and specific tasks differ.

More about Remote Research Assistant jobs

What are the most commonly searched types of Remote Research jobs in Toronto, ON?

The most popular types of Remote Research jobs in Toronto, ON are:

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For Remote Research Assistant jobs in Toronto, ON, the most frequently searched job titles are:

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The top searched job categories for Remote Research Assistant jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Remote Research Assistant jobs?

Cities near Toronto, ON with the most Remote Research Assistant job openings:

Remote Research Assistant jobs near you
Infographic showing various Remote Research Assistant job openings in Toronto, ON as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $67,751 per year, or $32.6 per hour.

Technical Research Assistant

M31 AI

Toronto, ON • On-site, Remote

CA$25 - CA$28/hr

Full-time

Posted 5 days ago

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