Research Associate (SRI) - Evaluative Clinical Sciences - Regular Full-time 2025-15323 (2025-15323)

Sunnybrook; Toronto; On-site; CAD 70,000 - 85,000; Full time

Job summary

A leading research institute in Toronto is seeking a Research Associate to develop AI models using wearable sensors to study sleep physiology and its relation to neurological diseases. The role requires a PhD and at least 2 years of relevant experience in AI model development. Successful candidates will collaborate with students and contribute to significant research efforts.

Qualifications

• PhD required in a relevant field.
• Minimum 2 years' experience in AI model development.
• Experience with wearable EEG data analysis.

Responsibilities

• Oversee a team developing AI models for human sleep physiology.
• Characterize human sleep physiology using wearable sensors.
• Predict neurological diseases, including Alzheimer's disease.

Skills

AI model development

Data analysis from wearable sensors

Biomedical engineering

Electrical engineering

Computer science

Education

PhD in biomedical, electrical, or computer engineering or computer science

Job description

The Sunnybrook Sleep and Brain Health Laboratory is dedicated to unraveling the biological links between sleep and circadian rhythms and neurological diseases in older adults. We are laying the foundation for 1) sleep-based interventions to prevent neurological diseases, slow progression, and promote recovery, and 2) mechanistically-informed therapies to improve sleep in older adults with neurological diseases. Toward this end, we leave local, national, and international studies involving thousands of participants integrating novel wearable technologies for measuring sleep and circadian rhythms, new sleep interventions, neuroimaging, genomics, and tissue transcriptomics/epigenomics.

Reporting to Dr. Andrew Lim, Principal Investigator of the laboratory, the Research Associate will oversee a team of graduate and undergraduate students dedicated to developing new AI models using signals from human wearable sensors to:

• Characterize human sleep physiology.
• Diagnose sleep disorders.
• Predict neurological diseases including Alzheimer's disease.

Qualifications / Skills

• PhD in biomedical, electrical, or computer engineering or in computer science.
• At least 2 years’ experience with development of AI models for characterization of human sleep physiology from human wearable EEG.
• Extensive experience with analysis of data from human wearable cardiopulmonary sensors.
• Extensive background in AI.

Qualified applicants should submit their interest in this position with an up-to-date resume.

We thank you in advance for your interest. Only those candidates selected for an interview will be contacted. No direct emails or phone calls please.

Sunnybrook Research Institute 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 Research Institute 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, 2SLGBTQ+ persons, and all others who may contribute to the further diversification of ideas.