Research Assistant 2

McGill University • Montreal, QC

1d • Onsite

About The Position

This position involves conducting data quality assessment, cleaning, and preparation of clinical, epidemiological, virological, and sequence datasets. The role includes creating and validating derived variables for clinical severity classification, diagnostic categories, infection status, and risk factors. Responsibilities also encompass performing descriptive statistical analyses (stratified tables, incidence/prevalence estimates, time-to-event summaries) and inferential analyses (multivariable logistic regression, diagnostic performance metrics). The assistant will analyze antibiotic prescribing patterns and their association with NS1 rapid test results using adjusted risk models. A key aspect of the role is developing a reproducible analysis pipeline in R with publication-ready outputs and compiling results into structured summaries. The position requires providing weekly summaries of completed tasks, issues, and next steps, and participating in weekly meetings with the supervisor to review outputs and adjust priorities.

Requirements

• Master of Science in Biostatistics
• Programming skills in R, Python, SAS, SQL, or STATA
• Expertise in Bayesian inference and clinical/real-world data analysis
• Proficiency in regression modelling
• Experience working with large clinical datasets and evaluating diagnostic tool performance
• Authorized to work in Canada
• Willing to work in the province of Quebec
• English communication skills (verbal and written)

Responsibilities

• Conduct data quality assessment, cleaning, and preparation of clinical, epidemiological, virological, and sequence datasets.
• Create and validate all derived variables for clinical severity classification, diagnostic categories, infection status, and risk factors.
• Perform descriptive statistical analyses including stratified tables, incidence/prevalence estimates, and time-to-event summaries.
• Execute inferential analyses including multivariable logistic regression for severity risk factors and diagnostic performance metrics (sensitivity, specificity, AUC).
• Analyze antibiotic prescribing patterns and association with NS1 rapid test results using adjusted risk models.
• Develop reproducible analysis pipeline in R with publication-ready tables, figures, and statistical methods descriptions.
• Compile results into structured summaries.
• Provide weekly summaries of completed tasks, issues encountered, and next steps.
• Participate in 1-hour weekly meetings with supervisor to review outputs and adjust priorities as needed.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level