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agent-based modeling. Excellent written and oral communication in English. Excellent personal time management, project management and organizational skills. Demonstrated capability to work effectively in
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independently. Time management skills, with the ability to work on multiple projects concurrently and meet deadlines. Organizational, collaboration, and interpersonal skills. Education and experience: Ph.D. in
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outcomes in Québec. Working with population-based administrative health data, the successful candidate will lead epidemiologic analyses using comprehensive RAMQ and MED-ECHO linked databases containing
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fellow will contribute to a range of research activities, including: supporting ethics applications and study implementation; contributing to the design and administration of a national survey
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pathologists to develop and conduct translational research using Al tools. The project therefore positions the candidate as an independent investigator with research management/ leadership skills. Qualifications
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science, machine learning or a related field. Strong experience working with clinical, biomedical, genetic, electronic health record, or health administrative data. Experience with large language models