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Publié il y a 8 mois

Research Assistant (SRI) - Evaluative Clinical Sciences - Casual 2026-16598

@ Sunnybrook Health Sciences Centre

Toronto, Ontario

À la journée
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Sunnybrook Health Sciences Centre is hiring a casual research assistant for the Sleep and Brain Health Laboratory to write and maintain code that analyzes large-scale wearable-sensor physiological data. The work applies signal processing and machine learning to accelerometry, EEG and cardiopulmonary recordings to predict sleep and neurological outcomes. The role is per diem and requires a computer science background with prior experience analyzing sleep signals from wearables.

Responsabilités :

  • Create and maintain code for signal processing and machine learning
  • Analyze large-scale wearable sensor physiological time series
  • Predict sleep disorder and neurological outcomes from sensor data

Résumé des exigences :

  • University background in computer science
  • Strong programming skills
  • Prior experience with sleep signals from wearable devices
  • Experience with signal processing or time series machine learning

Outils et compétences

Source et dates

Type de source non vérifié · talcura

Date publiée par l’employeur
2026-03-23
Première détection par notre source
2026-10-11
Mise à jour du dossier source
2026-10-18

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauDébutant
DomaineRecherche et sciences
Déplacementsavion : aucun · route : aucun
Milieu de travailLaboratoire, Bureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
Candidatures encouragéesPersonnes handicapées
FormationBaccalauréat (exigé)
Domaines d’étudesComputer science

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Sunnybrook Health Sciences Centre

ChampValeur
Offres sur Jobsy460
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.

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