Research Assistant 1

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School of Computer Science

Position Summary:

The RA will have the following duties under supervision of Dr. Li:

• Processing UKB administrative data to clearly separate baseline and incidence records

• Using our recently developed MixEHR-seed [Song et al., KDD 2022] to infer phenotypes from the baseline administrative health records data from the UKB.

• Evaluate model performance using the incidence records

• Perform PheWAS by investigating phenotype topic distributions

• Provide weekly updates on the project 6. Manuscript writing

Qualifications:

• The candidate must have a BSc in computer science or equivalence

• Currently enrolled in a master program at McGill University

• Good hands-on experience in processing UK Biobank data

• Working knowledge of topic models

• Completed related courses in health informatics and epidemiology

• Knowledge of French and English: McGill University is an English-language university where day to day duties may require English communication both verbally and in writing. The level of English required for this position has been assessed at a level 4 on a scale of 0-4.

Hourly Salary:

$35.61

Hours per Week:

35 (Full time)

Location:

Trottier Building

Supervisor:

Assistant Professor

Position Start Date:

2024-06-04

Position End Date:

2024-09-01

Deadline to Apply:

2024-06-14

This position is covered by the Association of McGill University Research Employees (AMURE) collective agreement.

McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, [email protected] .