Research Engineer (ON, Toronto)

Holland Bloorview Kids Rehabilitation Hospital; Toronto; On-site; CAD 80,000 - 110,000; Full time

Job summary

Holland Bloorview Kids Rehabilitation Hospital seeks a Research Engineer specializing in machine learning and medical imaging. This role involves developing AI models to enhance MRI image quality, collaborating with diverse teams, and contributing to pivotal research in pediatric health. The position offers a chance to impact the lives of children with neurodevelopmental differences.

Benefits

Competitive compensation and benefits packages

Ongoing learning and professional growth support

Qualifications

• Hands-on experience with generative AI models.
• Ability to build and optimize end-to-end machine learning pipelines.
• Experience with multi-dimensional image formats (e.g., NIfTI, MINC) is an asset.

Responsibilities

• Develop and implement generative AI models to enhance medical imaging.
• Design robust Python-based pipelines for MRI data processing and analysis.
• Collaborate with interdisciplinary teams for AI model integration.

Skills

Programming in Python

Deep learning frameworks (PyTorch, TensorFlow)

Generative AI models (GANs, VAEs)

Analytical problem-solving

Education

Master's or PhD in Biomedical Engineering, Computer Science, Electrical Engineering, Neuroscience

Tools

NumPy

Pandas

scikit-learn

Job description

TITLE: Research Engineer

STATUS: Temporary, Full-Time (1.00 FTE)

START DATE: June 16, 2025

END DATE: June 15, 2026

SUPERVISOR: Jacob Ellegood

PROGRAM: Bloorview Research Institute

Join us in building a world of possibility for children with neurodevelopmental differences and disabilities!

Holland Bloorview Kids Rehabilitation Hospital is Canada’s largest pediatric rehabilitation hospital and is fully affiliated with the University of Toronto. It has ranked amongst Canada’s top 40 research hospitals for more than a decade. Holland Bloorview has won numerous awards including Greater Toronto's Top Employers, Canada's Top Employers for Young People and Canada's Most Admired Corporate Cultures. We offer an inspiring, inclusive, innovative, and collaborative work environment with competitive compensation and benefit packages and programs that support ongoing learning and professional growth.

The Bloorview Research Institute (BRI), embedded within the hospital, is the only university-affiliated research institute in Canada dedicated to pediatric disability, and one of very few around the world. BRI’s vision is to be a global leader in transformative, equity-driven research dedicated to enabling personalized versions of a good life across the lifespan, for all individuals with childhood onset disabilities, acquired injuries and developmental differences, their families and communities.

Description

Bloorview Research Institute at Holland Bloorview Kids Rehabilitation Hospital is seeking a research engineer with expertise in machine learning/generative AI/data science. He/she/they will develop innovative algorithms that will improve the quality of MRI images that have been deemed unfit for use likely due to increased noise and ringing artifacts associated with movement within the MRI scanner.

Our lab is committed to fostering a climate of equity, diversity, inclusion, and accessibility. This commitment is central to, and mutually supportive of, our research excellence mandate. We welcome and respect the diversity of all members of our community and we support an inclusive culture for our clients, families, research scientists, staff, participants, trainees, volunteers, trustees, and partners. We welcome applications from Black individuals and other racialized persons, Indigenous Peoples, women, persons with disabilities, LGBTQ2SA+ persons, and others who may contribute to further diversification of ideas within our community. We are committed to fair assessment of a candidate's abilities, and consideration for diversity of thought, method, and experience, including non-traditional career paths. Accommodation will be provided in all parts of the hiring process where needed.

Key Responsibilities

• Develop and implement generative AI models to enhance or analyze medical imaging data, with a focus on reproducibility and scalability
• Design and maintain robust Python-based pipelines for processing, analyzing, and visualizing MRI and related neuroimaging datasets
• Evaluate generative model performance using appropriate metrics and contribute to ongoing improvements in model fidelity and clinical relevance
• Collaborate with interdisciplinary teams of MRI scientists, clinicians, and researchers to integrate AI models into neurodevelopmental and mental health studies
• Document code, experiments, and workflows in a clear, reproducible manner, and contribute to research publications, presentations, and open-source repositories as appropriate

Qualifications

• Master's or PhD in Biomedical Engineering, Computer Science, Electrical Engineering, Neuroscience, or a related field
• Strong programming skills in Python, with experience using deep learning frameworks such as PyTorch or TensorFlow, and scientific libraries like NumPy, Pandas, and scikit-learn
• Hands-on experience with generative AI models, including GANs, VAEs, or diffusion models, and familiarity with key evaluation metrics
• Applied knowledge of medical or neuroimaging data, with experience working with multi-dimensional image formats (e.g., NIfTI, MINC) would be an asset
• Ability to build and optimize end-to-end machine learning pipelines, including data preprocessing, model training, and performance evaluation, ideally in research or healthcare applications
• Strong analytical and problem-solving skills, with the ability to work independently and collaborate with interdisciplinary teams, including scientists, clinicians, and engineers