Research Assistant — Health Data Science and Machine Learning

CUSM


Job Location:

Montreal - Canada

Monthly Salary: Not Disclosed
Posted on: 10 hours ago
Vacancies: 1 Vacancy

Job Summary

Do you want to work for a world-renowned research institute that pushes the boundaries of biomedical science and health research Right here in Montreal! At the Research Institute of the McGill University Health Centre (RI-MUHC) you can be part of an organization focused on scientific discovery and innovation in patient-centered medicine. Join us today and make a difference!

Job Description

RESEARCH INSTITUTE OF THE MUHC
The Research Institute of the McGill University Health Centre (RI-MUHC) is a world-renowned biomedical and hospital research centre. Located in Montreal Quebec the Institute is the research arm of the McGill University Health Centre (MUHC) affiliated with the Faculty of Medicine at McGill University. The RI-MUHC is supported in part by the Fonds de recherche du Québec - Santé (FRQS).

Position summary
Under the direction of Dr. Esli Osmanlliu the Research Assistant will contribute to PREDICT-ED (Pediatric Real-time Evaluation and Dynamic Intelligent Crowding Tracking in the Emergency Department) a project focused on developing and retrospectively evaluating machine-learning algorithms to predict pediatric Emergency Department patient volumes wait times and crowding. The project will use aggregated institutional operational data and external publicly available data to develop predictive models at 6-hour and 24-hour prediction horizons. The position is situated at the intersection of quality improvement patient safety health data science clinical informatics and health-system optimization. This position is suited to an individual with advanced training in computer science data science or a related field with a strong interest in applying machine learning and artificial intelligence to improve health-care delivery.

General Duties
Contribute to the preparation cleaning integration and structuring of datasets from institutional operational sources and external publicly available sources
Participate in the development of relevant features for predicting pediatric Emergency Department volumes wait times and crowding
Work with longitudinal and time-series data related to patient volumes wait times operational resources and other contextual factors
Implement train and compare machine-learning models suitable for time-series forecasting
Participate in the retrospective evaluation of predictive models using appropriate performance metrics
Apply temporal validation strategies to reduce the risk of overfitting
Document data pipelines code methodological decisions analytic assumptions experimental results and model limitations
Collaborate with a multidisciplinary team including clinicians researchers clinical informatics specialists operational stakeholders and data specialists
Assist with reports presentations scientific abstracts manuscripts and knowledge-mobilization materials
Contribute where appropriate to preparation for future prospective evaluation of the developed models.
Collaborate with researchers clinicians and engineers to advance innovative digital health initiatives
Ensure regular system updates troubleshooting and documentation to support sustainability and knowledge transfer
Support testing evaluation and quality assurance to maintain the reliability and scalability of digital health solutions.

Standards of performance:
Follow the agreed upon timeline of project subtasks (including data cleaning model development training and evaluation creation of a visualization tool for use by ED clinicians).

Required Skills

Knowledge of French is required.
An advanced knowledge of oral and written English is required as the position requires regular and complex contact with researchers or international students who are exclusively proficient in English.

Strong programming skills particularly in Python
Strong communication skills and ability to document technical processes clearly
Experience with cloud-based platforms and application deployment
Good understanding of supervised machine-learning methods
Ability to produce clear organized reproducible and well-documented code
Scientific rigour autonomy organizational skills and attention to detail
Excellent communication and interpersonal skills
Experience or familiarity with MLOps practices (data and model pipeline management version control experiment reproducibility model monitoring and documentation)
Experience with DevOps practices (e.g. CI/CD pipelines containerization cloud automation).
Familiarité avec les normes de confidentialité et de sécurité des données en santé (p. ex. LPRPDE HIPAA RGPD)
Knowledge of Microsoft Word Excel and Outlook.

Additional information

Status: Temporary full time (35-hour workweek)
Pay Scale: Commensurate with education and experience
Work Shift: Monday to Friday 9:00 AM to 5:00 PM
Work Site: 5252 de Maisonneuve Blvd.
This position offers the possibility of a hybrid work arrangement (on-site and remote).
Additional specifications: 4-month fixed-term contract starting Summer 2026. Compensation: $30/hr before applicable deductions. Hybrid work arrangement.

***If you wish to include a cover letter please attach it with your resume in one document. ***

Why work with us

4-week vacation 5th week after 5 years
Bank of 12 paid days (personal days and days for sickness or family obligations)
13 paid statutory holidays
Modular group insurance plan (including gender affirmation coverage)
Telemedicine
RREGOP (defined benefit government pension plan)
Training and professional development opportunities
Child Care Centres
Corporate Discounts (OPUS Perkopolis)
Competitive monthly parking rate
Employee Assistance Program
Recognition Program
Flex work options and much more!



learn more about our benefits please visit IS NOT A HOSPITAL POSITION.

Equal Opportunity Employment Program

The Research Institute of the McGill University Health Centre hires on the basis of merit and is strongly committed to equity diversity and inclusion within its community. We welcome applications from all qualified candidates who self-identify as members of racialized groups/visible minorities women Indigenous persons persons with disabilities ethnic minorities and 2SLGBTQIA persons. We also welcome candidates with the skills and knowledge to productively engage with diverse communities. Persons with disabilities who anticipate needing accommodations for any part of the application process may confidentially contact


Required Experience:

Junior IC

Do you want to work for a world-renowned research institute that pushes the boundaries of biomedical science and health research Right here in Montreal! At the Research Institute of the McGill University Health Centre (RI-MUHC) you can be part of an organization focused on scientific discovery and ...

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The McGill University Health Centre (MUHC) is a bilingual academic health network, and one of the largest and most modern in North America. We provide tertiary and quaternary care to the population of Montreal and Quebec. In other words, care that requires hospitalization, complex sur ... View more

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