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McGill University

Postdoctoral Researcher

Montreal, QC, Canada

Full-time

Apply on mcgill.wd3.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 30, 2026
Positions available: 1
Posting language: English
Posted: Oct 13, 2026

Original job description

Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply.

If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar).

POSITION SUMMARY

The Gerald Bronfman Department of Oncology (GBDO) is seeking a highly motivated Postdoctoral Researcher to contribute to leading-edge research evaluating cancer care delivery, quality of care, and patient 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 more than a decade of longitudinal health information.

This position is funded by the Rossy Cancer Network as part of its mission to improve the quality of cancer care for populations served by the McGill Academic Health Network. The successful candidate will generate evidence to support health system planning, quality improvement initiatives, and policy decisions aimed at enhancing the accessibility, effectiveness, and quality of cancer care.

The incumbent will be co-supervised by Professor Talía Malagón and Professor Armen Aprikian and will collaborate with an interdisciplinary team of researchers, clinicians, and trainees.

Interested candidates should submit (upload in Workday):

a letter of interest describing their research interests and relevant experience;
a current curriculum vitae;
the names and contact information of two academic referees.

RESPONSIBILITIES

Lead the design, development, and execution of population-based epidemiologic studies examining cancer diagnosis, treatment patterns, healthcare utilization, quality of care, and patient outcomes across the cancer continuum.
Conduct advanced statistical and epidemiologic analyses using large-scale administrative health databases, including RAMQ and MED-ECHO linked datasets, to generate high-quality evidence that informs cancer care delivery and health policy.
Develop innovative research questions, analytic strategies, and methodological approaches related to cancer health services research, healthcare quality assessment, and population health outcomes.
Lead the preparation of manuscripts for publication in high-impact peer-reviewed journals and contribute to the dissemination of research findings to academic, clinical, and policy audiences.
Present research results at national and international scientific conferences, workshops, and stakeholder meetings, contributing to knowledge translation and evidence-informed decision-making.
Collaborate with multidisciplinary teams of researchers, clinicians, trainees, and healthcare partners to advance research initiatives focused on improving the quality and accessibility of cancer care.
Contribute to the development of competitive grant applications, fellowship proposals, and research funding opportunities that support ongoing and future research activities.
Mentor graduate students and research trainees in study design, data analysis, interpretation of findings, and scientific writing.
Support the ethical and regulatory conduct of research activities, including preparation of research ethics submissions, data access applications, and project-related documentation.
Engage in professional development activities, including the pursuit of external fellowship and salary award opportunities, to establish an independent and impactful research profile.

QUALIFICATIONS

PhD in Epidemiology, Health Services Research, Biostatistics, Health Economics, Health Informatics, Cancer Research, Data Science, or a closely related discipline.
Minimum of three years of research experience (including graduate studies) in health services research, cancer research, epidemiology, or related quantitative health research fields.
Demonstrated expertise in quantitative data analysis using large longitudinal and population-based health datasets, including the application of advanced statistical methods such as survival analysis and longitudinal data analysis.
Proficiency in statistical programming and data management using software such as SAS, R, or Stata, with strong skills in data manipulation, cleaning, and analysis.
Evidence of scholarly productivity, including experience writing and publishing manuscripts in peer-reviewed scientific journals.
Excellent scientific writing, presentation, and communication skills in English, with intermediate proficiency in reading French.
Demonstrated ability to work independently and collaboratively within multidisciplinary research teams, with strong leadership, organizational, and problem-solving skills.
Commitment to scientific rigor, research excellence, and methodological integrity, with strong attention to detail and the ability to manage multiple priorities effectively.

Hiring Unit:

Gerald Bronfman Department of Oncology (GBDO)

Number of Positions:

Supervisor:

Professor Talía Malagón and Professor Armen Aprikian

Total Hours Per Week:

Salary:

$65,000/year

Planned Start and End Date:

January 1, 2027 - December 31, 2027

Location:

5100 de Maisonneuve Blvd W, Suite 720

« 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).

Annual Salary:

$65,000.00

Hours per Week:

35 (Full time)

Location:

5100 de Maisonneuve West

Supervisor:

Assistant Professor (Research)

Position Start Date:

2026-10-13

Position End Date:

2027-12-31

Deadline to Apply:

2026-11-29

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, accessibilityrequest.hr@mcgill.ca.

Apply on mcgill.wd3.myworkdayjobs.com About employer

More about this job

Responsibilities

The researcher will lead population-based epidemiologic studies using administrative health databases to evaluate cancer care delivery and patient outcomes. They will also collaborate with multidisciplinary teams to inform health policy and contribute to grant applications and scientific publications.

Requirements

Candidates must hold a PhD in a relevant quantitative health field and possess at least three years of research experience. Proficiency in statistical programming and experience with large-scale longitudinal health datasets are essential.

Skills

Epidemiology
Health services research
Biostatistics
Cancer research
Data science
Statistical analysis
Longitudinal data analysis
Survival analysis
SAS
R
Stata
Scientific writing
Data management
Public health policy
Research ethics
Grant writing

Visa sponsorship

Not detected in the job text

Hiring contact

Talía Malagón

Keywords

Epidemiology
Health Services Research
Biostatistics
Cancer Research
Data Science
RAMQ
MED-ECHO
Administrative Health Data
Longitudinal Analysis
Survival Analysis
SAS
R
Stata
Health Policy
Quality Improvement
Scientific Writing
Grant Writing
Public Health
Data Management
Research Ethics
Multidisciplinary Collaboration
Knowledge Translation
Population Health
Healthcare Utilization
Cancer Continuum

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