Research Associate (SRI) - Evaluative Clinical Sciences - Regular Full-Time 2026-18290

One of Canada's Top 10 Research Hospitals, Sunnybrook Research Institute is developing innovations in care for the more than 1.3 million patients the hospital cares for annually.

Sunnybrook Research Institute is the research enterprise of Sunnybrook Health Sciences Centre, a teaching hospital fully affiliated with the University of Toronto. Research spans three Toronto-based campuses, eight programs and three scientific platforms. Our main aims are to understand and prevent disease, and to develop treatments that enhance and extend life. Our vision is to invent the future of health care. Each year, we conduct about $100 million in research across 500,000 square feet, including in the world’s first Centre for Research in Image-Guided Therapeutics.

The Neurodegeneration and Dementia Research Laboratory is led by Dr. Mario Masellis and seeking a full-time Research Associate. The successful candidate will contribute to the evaluation and deployment of image analysis tools for research in Alzheimer’s disease, Frontotemporal Dementia, and related neurodegeneration diseases. They will also be involved in the analysis of additional datasets, including fluid biomarker, genomics, transcriptomics, methylomics and proteomics data. This will be integrated with the neuroimaging data.

Under the supervision of Dr. Mario Masellis, the candidate will work on neuroimaging tools developed within the lab and through collaborations. The focus is primarily on Arterial Spin Labeling and Functional MRI data, as well as structural imaging pipelines. They will also be responsible for using both traditional statistics and Artificial Intelligence/ Machine Learning-learning methods for integration of the different data types.

The candidate must be a self-starter capable of working independently. They will also be expected to support and contribute to a healthy work environment that is committed to inclusion and diversity. We encourage applications from all individuals, including but not limited to visible minorities, all religions and ethnicities, persons with disabilities, LGBTQ+ persons, and all others who may contribute to the further diversification of ideas within our team.

Summary of Duties:

• Assess retrospective and prospective data from cognitive neurology research studies.
• Run, evaluate, and improve upon the in-house software tools by analyzing imaging cases.
• Work towards writing abstracts and manuscripts for peer-review of image analysis findings.
• Support the lab through preparation of grant materials.
• Support collaboration with other laboratories to enable validation and new research projects with external colleagues.
• Successful completion of a PhD in medical imaging, neuroscience, bioengineering, or equivalent is a requirement.
• Experience with neuroimaging software tools is required.
• Experience with R and Python is required.
• Strong interpersonal, time management and organizational skills.
• Strong oral and written communication skills and attention to detail.
• Demonstrated proficiency in scientific writing through peer-reviewed publication is highly desirable.

If your experience aligns with this position, please submit a cover letter, curriculum vitae, and the names and contact information of two references.

We thank all applicants for their interest; however, only those selected for an interview will be contacted.

Sunnybrook Health Sciences Centre is committed to providing accessible employment practices that are in compliance with the Accessibility for Ontarians with Disabilities Act (AODA). If you require accommodation for disability during any stage of the recruitment process, please indicate this in your cover letter.

Sunnybrook Health Sciences Centre is strongly committed to inclusion and diversity within its community and welcomes all applicants including but not limited to: visible minorities, all religions and ethnicities, persons with disabilities, LGBTQ persons, and all others who may contribute to the further diversification of ideas.