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POSITION SUMMARY The Department of Epidemiology, Biostatistics and Occupational Health invites applications for a Postdoctoral Researcher position under the supervision of Dr. Philippe Boileau and Dr. Mireille Schnitzer. The successful candidate will contribute to cutting-edge methodological research focused on the development and application of novel causal machine learning approaches for robust statistical inference of causal effects in longitudinal study designs.

The incumbent will hold a dual status as both a student and a McGill employee, and is a member of the AMURE (Postdocs) bargaining unit.

RESPONSIBILITIES

- Lead independent and team-oriented research projects focused on the development of novel causal machine learning methods for estimating causal effects in longitudinal studies.
- Develop innovative statistical methodologies and estimation procedures that advance the state of the art in causal inference and machine learning.
- Derive theoretical properties of proposed methods, including consistency, efficiency, robustness, and asymptotic behavior.
- Design and conduct large-scale simulation studies to evaluate the performance of newly developed methodologies under a variety of scientific and statistical settings.
- Apply advanced causal inference and machine learning techniques to complex health and population research data.
- Develop, maintain, and disseminate open-source statistical software packages and computational tools to facilitate the implementation of novel methods.
- Prepare manuscripts for publication in high-impact peer-reviewed journals and contribute to the dissemination of research findings within the scientific community.
- Present research findings at national and international scientific conferences, workshops, and seminars.
- Collaborate with faculty members, trainees, and interdisciplinary research teams on methodological and applied research initiatives.
- Contribute to grant-funded research activities, including research planning, project development, and preparation of scientific reports and research outputs.
- Mentor graduate students and research trainees by providing scientific guidance in statistical methodology, causal inference, and computational approaches.
- Remain current with emerging developments in causal inference, machine learning, biostatistics,



and related quantitative disciplines to support ongoing methodological innovation.

QUALIFICATIONS

- PhD in Statistics, Biostatistics, Computer Science, Econometrics, or a closely related quantitative discipline.
- Minimum of five (5) years of research experience, including time spent in graduate studies.
- Demonstrated expertise in causal inference research.
- Strong experience developing causal machine learning methodologies and estimators.
- Proficiency in R programming and statistical software development.
- Excellent quantitative, analytical, and problem-solving skills.
- Strong written and oral communication skills.
- Proven ability to work independently and collaboratively within multidisciplinary research teams.

Hiring Unit:

Department of Epidemiology, Biostatistics and Occupational Health

Number of Positions:

1

Supervisor:

Professor Phillipe Boilleau & Professor Mireille Schnitzer

Total Hours Per Week:

35

Salary:

$56,700/year

Planned Start and End Date:

December 1, 2026 - November 30, 2027

Location:

2001 McGill College

Application Procedure:

Interested candidates should submit (upload in Workday):

- A cover letter (max 2 pages) describing your research background and your specific interest in this project
- Curriculum Vitae
- Names and contact information for two academic references

Applications will be reviewed on a rolling basis until the position is filled. We thank all applicants; only those selected for an interview will be contacted.
- Candidates’ eligibility to hold a Postdoctoral Research Fellowship expires 5 years after the date on which their PhD was awarded, regardless of when they are hired. Be sure to refer to the following link for further information on eligibility criteria: http://www.mcgill.ca/gps/postdocs/fellows/registration/eligibility.

** Any offer to non-Canadian citizens/non-permanent residents is contingent on the candidate obtaining a work permit after an offer has been made and a letter of invitation sent, see: http://www.mcgill.ca/gps/postdocs/international/workpermit

« Connaissance du français et de l'anglais: L'Université McGill est une université de langue anglaise où les tâches quotidiennes peuvent nécessiter une communication verbale et écrite en anglais.



Le niveau d’anglais requis pour ce poste a été déterminé comme étant de niveau #4 (qualificatif) sur une échelle de 0-4.»

“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.”

In accordance with Canadian and Quebec law, the present offer is conditional upon your obtaining the appropriate work authorization from any or all of the following as applicable: Citizenship & Immigration Canada, Immigration Quebec and Human Resources & Skills Development Canada (HRSDC).

McGill University is committed to equity and diversity within its community and values academic rigour and excellence. We welcome and encourage 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 engage productively with diverse communities.

At McGill, research that reflects diverse intellectual traditions, methodologies, and modes of dissemination and translation is valued and encouraged. Candidates are invited to demonstrate their research impact both within and across academic disciplines and in other sectors, such as government, communities, or industry.

McGill further recognizes and fairly considers the impact of leaves (e.g., family care or health-related) that may contribute to career interruptions or slowdowns. Candidates are encouraged to signal any leave that affected productivity, or that may have had an effect on their career path. This information will be considered to ensure the equitable assessment of the candidate’s record.

McGill implements an employment equity program and encourages members of designated equity groups to self-identify. It further seeks to ensure the equitable treatment and full inclusion of persons with disabilities by striving for the implementation of universal design principles transversally, across all facets of the University community, and through accommodation policies and procedures. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, [email protected].

All qualified applicants are encouraged to apply; however, in accordance with Canadian immigration requirements, Canadians and permanent residents will be given priority.

📌 Postdoctoral Researcher (Canada)
🏢 McGill University
📍 Canada