Research Assistant 2

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The candidate will be responsible for supporting a wide range of research and project-related activities. Key responsibilities include:

·       Clean, manage, integrate, and analyze complex research datasets while ensuring data quality and reproducibility.

·       Develop reproducible analytical workflows and well-documented code using R , SAS, STATA and/or Python.

·       Conduct advanced statistical analyses of large-scale secondary and longitudinal health datasets to address research questions in population and oral health.

·       Apply advanced methods, including Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA), multilevel modelling, interaction analyses, and other appropriate statistical approaches.

·       Develop, implement, and evaluate statistical analysis plans, including variable selection, model specification, sensitivity analyses, and interpretation of findings.

·       Produce statistical results, tables, and figures for manuscripts, reports, presentations, and grant applications.

·       Coordinating research project activities and participating in team meetings.

·       Collaborate with researchers and trainees to support study design, statistical methodology, data interpretation, and scientific publications.

·       Supporting knowledge mobilization activities (e.g., reports, peer-reviewed manuscripts, infographics).

Additional related duties may be assigned as required.

EDUCATION/EXPERIENCE

Minimum requirement: Masters’ Degree

Academic level: Minimum of master’s degree in dentistry or in a related field (e.g. health and social services, public health, social sciences)

·        PhD in Biostatistics, Statistics, Epidemiology, Data Science, Public Health, Health Sciences, or a related quantitative discipline.

·       More than 10 years of experience in biostatistics

·       Demonstrated experience applying advanced statistical methods to health, population, or social science research.

·       Experience analyzing large-scale observational, longitudinal, or survey datasets.

·       Language skills: Bilingual French English, oral and written

The successful candidate must have several personal skills: Rigor, teamwork, excellent adaptability and analytical skills, motivated and earning to learn, sense of responsibility, initiative, communication skills, management of priorities and autonomy.

OTHER QUALIFYING SKILLS & ABILITIES

·       Experience in dental research desirable

·       Strong programming skills in R and/or Python, with experience developing reproducible analytical workflows.

·       Knowledge of advanced statistical modelling, including multilevel and interaction-based approaches; experience with MAIHDA is an asset.

·       Strong data management, statistical interpretation, and visualization skills.

·       Ability to translate research questions into appropriate statistical approaches and communicate findings clearly to interdisciplinary research teams.

·       Ability to work independently, manage multiple analytical tasks, and meet research timelines.

·       Strong scientific writing and communication skills.

·       Experience in knowledge dissemination

·       Experience in working across sectors and in partnerships

HOW TO APPLY

Apply via Workday. Please submit:

1)  Cover Letter explaining your interest and relevant experience for this position

2)  C.V. and list of 2 references. You must be eligible to work in Canada.

Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and willing to work in the province of Quebec at the campus where the position is based / located.

McGill University is an English-language university where most teaching and research activities are conducted in the English language, thereby requiring English communication both verbally and in writing.

$50.17

35 (Full time)

McGill College 2001

Assistant Professor

2026-10-12

2026-12-20

2026-10-06

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