Research Assistant (SRI) - Evaluative Clinical Sciences - Casual 2026-16598
- Toronto, ON, Canada
Per diem
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Job details
- Job type
- Per diem
- Posting language
- English
- Posted
Original job description
The Sleep and Brain Health Laboratory at Sunnybrook Health Sciences Centre (sleepandbrainhealth.ca) is seeking two intellectually rigorous and scientifically curious casual research assistants in software development to assist in creating and maintain code applying contemporary signal processing and machine learning approaches to analyze large-scale (1000’s of recordings) human physiological time series (accelerometry [FitBit-like devices], electroencephalography [human brainwaves], cardiopulmonary [heart and lung]) data derived from wearable sensors in human patients to predict sleep (e.g. sleep disorders like sleep apnea) and neurological (e.g. Alzheimer’s disease) outcomes.
Qualifications:
The candidate will have:
- A university background in computer science
- Strong programming
- Previous experience in applying signal processing / time series data analysis / machine learning to human sleep biological signals collected from wearable devices.
Applications: 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.
We thank you in advance for your interest. Only those candidates selected for an interview
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, LGBTQAI2S+ persons, and all others who may contribute to the further diversification of ideas.
More about this job
Responsibilities
The research assistant at Sunnybrook Health Sciences Centre will write and maintain software that analyzes large collections of body sensor recordings. The work focuses on finding patterns in sleep and brain data to predict sleep disorders and conditions such as Alzheimer's disease.
Requirements
Candidates need a university background in computer science, strong programming skills, and prior experience applying signal processing, time series analysis or machine learning to sleep signals from wearable devices.
Skills
- Python
- signal processing
- time series analysis
- machine learning
- EEG analysis
- accelerometry data analysis
- wearable device data
- sleep signal analysis
- software development
- code maintenance
- statistical analysis
- large-scale data processing
- research methods
Categories
- Healthcare
- Science & Research
- Data & Analytics
- Technology
Keywords
- signal processing
- time series analysis
- machine learning
- wearable sensors
- accelerometry
- EEG
- electroencephalography
- cardiopulmonary data
- sleep analysis
- sleep apnea
- Alzheimer's disease
- physiological data
- software development
- programming
- research assistant
- clinical research
- biomedical signal analysis
- data science
Seniority
Entry level
Fields of study
- Computer science