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Remote Biomedical Engineering Jobs in Ontario (NOW HIRING)

M31 AI

Technical Research Assistant

Toronto, ON · On-site +1

CA$25 - CA$28/hr

... Engineering, Computer Science, Mathematics, Biomedical Engineering, Computational Biology or a ... Hybrid remote - Toronto, ON (M5S 1A8) Compensation: CA$25-28/hour, based on experience Benefits:

Affirm

Unlock your potential as a Remote CIAM Innovation Engineer, specializing in customer identity and ... Your engineering prowess will enhance backend services that enrich account management across ...

Affirm

Unlock your potential as a Remote CIAM Innovation Engineer, specializing in customer identity and ... Your engineering prowess will enhance backend services that enrich account management across ...

YO AI Labs

AI/ML Engineer - Remote

Ottawa, ON · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

YO AI Labs

AI/ML Engineer - Remote

Toronto, ON · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to ...

Alimentiv

Statistician

Kitchener, ON · Remote

Carry out statistical analyses and provide direction to programmers, using standard software ... into biomedical terms and prepare statistical data results for inclusion in reports and research ...

Alimentiv

Statistician

Windsor, ON · Remote

Carry out statistical analyses and provide direction to programmers, using standard software ... into biomedical terms and prepare statistical data results for inclusion in reports and research ...

Alimentiv

Statistician

Ottawa, ON · Remote

Carry out statistical analyses and provide direction to programmers, using standard software ... into biomedical terms and prepare statistical data results for inclusion in reports and research ...

Alimentiv

Statistician

Kingston, ON · Remote

Carry out statistical analyses and provide direction to programmers, using standard software ... into biomedical terms and prepare statistical data results for inclusion in reports and research ...

Alimentiv

Statistician

Toronto, ON · Remote

Carry out statistical analyses and provide direction to programmers, using standard software ... into biomedical terms and prepare statistical data results for inclusion in reports and research ...

Alimentiv

Statistician

London, ON · Remote

Carry out statistical analyses and provide direction to programmers, using standard software ... into biomedical terms and prepare statistical data results for inclusion in reports and research ...

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All JobsBiomedical Engineering JobsRemote Biomedical Engineering JobsRemote Biomedical Engineering Jobs in Ontario

Remote Biomedical Engineering information

See Ontario salary details

$13

$38

$76

How much do remote biomedical engineering jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for remote biomedical engineering in Ontario is $38.30, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $48.08 per hour, depending on experience, location, and employer.

What is remote biomedical engineering?

Remote biomedical engineering refers to the practice of designing, developing, and maintaining medical devices, software, and technologies from a location outside of a traditional healthcare or research facility. Professionals in this role often collaborate virtually with teams, use digital tools for diagnostics and analysis, and may provide remote support for medical equipment. This setup allows for greater flexibility and access to a wider range of expertise while still ensuring patient safety and device effectiveness.

What are the key skills and qualifications needed to thrive as a remote biomedical engineer?

To thrive as a Remote Biomedical Engineer, a solid background in biomedical engineering principles, mathematics, and physiology, often supported by a relevant degree, is essential. Familiarity with technical tools such as CAD software, medical device regulations, telecommunication platforms, and possibly certifications like CBET are typically required. Strong problem-solving skills, effective communication, and self-motivation are crucial soft skills for collaborating virtually and managing projects independently. These abilities ensure the successful design, implementation, and support of medical devices and solutions while maintaining regulatory compliance and effective teamwork in a remote setting.

What are some unique challenges of working as a remote biomedical engineer, and how can they be managed?

Remote biomedical engineers often face challenges such as limited hands-on access to medical devices and equipment, which can make troubleshooting and testing more complex. To manage these challenges, many professionals rely on virtual collaboration tools, remote monitoring software, and detailed documentation to communicate with on-site teams. Regular video conferences and clear communication protocols help ensure that remote engineers remain aligned with project goals and timelines. Building strong relationships with local staff and staying proactive in seeking updates can also help overcome the distance barrier.

What is the difference between Remote Biomedical Engineering vs Remote Clinical Engineering?

AspectRemote Biomedical EngineeringRemote Clinical Engineering
CredentialsBiomedical Engineering degree, certifications like CBETBiomedical Engineering or Clinical Engineering degree, certifications like CBET
Work EnvironmentDesign, research, and development remotely; some on-site for testingEquipment maintenance, troubleshooting, often remote support with some on-site visits
Employer & IndustryMedical device companies, research institutionsHospitals, healthcare facilities, medical equipment vendors
Search & Comparison IntentUnderstanding roles in medical device design and R&DSupporting and maintaining medical equipment remotely

Remote Biomedical Engineering focuses on designing and developing medical devices, often working remotely in research or development roles. In contrast, Remote Clinical Engineering involves supporting, maintaining, and troubleshooting medical equipment, typically with some on-site presence. Both roles require biomedical engineering credentials but differ in daily tasks and work environments.

Can you work remotely as a biomedical engineer?

Remote biomedical engineering jobs are available, especially in roles involving software development, data analysis, or remote diagnostics. However, many positions require on-site work for equipment installation, maintenance, or clinical collaboration. The availability of remote work depends on the specific employer and job responsibilities.

Which remote biomedical engineering jobs can be done remotely?

Remote biomedical engineering jobs include roles such as biomedical software developer, medical device quality assurance specialist, and telehealth technology support engineer. These positions often require skills in software programming, regulatory compliance, and familiarity with medical devices, and can be performed from home with appropriate tools and secure access to company systems.

What are the most commonly searched types of Biomedical Engineering jobs in Ontario?

The most popular types of Biomedical Engineering jobs in Ontario are:

What are popular job titles related to Remote Biomedical Engineering jobs in Ontario?

For Remote Biomedical Engineering jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Remote Biomedical Engineering jobs in Ontario look for?

The top searched job categories for Remote Biomedical Engineering jobs in Ontario are:

What cities in Ontario are hiring for Remote Biomedical Engineering jobs?

Cities in Ontario with the most Remote Biomedical Engineering job openings:

Remote Biomedical Engineering jobs near you
Infographic showing various Remote Biomedical Engineering job openings in Ontario as of August 2026, with employment types broken down into 5% Internship, 90% Full Time, and 5% Part Time. Highlights an 100% Remote job distribution, with an average salary of $79,673 per year, or $38.3 per hour.

Technical Research Assistant

M31 AI

Toronto, ON • On-site, Remote

CA$25 - CA$28/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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