Join the Roy Lab

We welcome trainees who want to study melanoma through computational, experimental, imaging-based, or integrated projects. The lab includes both wet-lab and computational researchers. Deep expertise in every method is not expected. Projects are shaped around each trainee’s strengths while providing opportunities to build complementary skills.

Trainees may come from pathology, cancer biology, immunology, molecular biology, epigenetics, bioinformatics, computer science, computational pathology, microscopy, biomedical engineering, or related fields.

The Roy Lab was established in late 2025 and is actively building its team, research systems, and scientific community. New members will have meaningful opportunities to help shape lab culture, develop shared methods, and define emerging projects while working within the established research environments of McGill, the Goodman Cancer Institute, and the RI-MUHC.

McGill offers a broad biomedical research community connected to major hospitals, research institutes, core facilities, and collaborators across disciplines. Montreal offers a high quality of life and remains relatively affordable for a major metropolitan city. Daily life includes French and English, a multicultural community, a lively restaurant and arts scene, and year-round access to parks and outdoor activities. It is a welcoming setting for trainees arriving from elsewhere in Canada or from abroad.

• Weekly lab meetings for research updates, data discussion, and project planning
• Regular one-on-one mentorship with expectations tailored to career stage
• Training across computational and experimental methods when useful for the project
• Access to clinical samples, spatial datasets, digital pathology, live imaging, and experimental models
• Participation in PathSpace’s monthly spatial pathobiology meetings
• Support for at least one national or international conference each year when presenting a first-author poster or talk
• Additional conference support when it serves the trainee’s project and career development, subject to available funds
• Opportunities for collaborations with academic, medical technology, and pharmaceutical partners
• Career development for trainees pursuing independent academic research or positions in biotechnology, pharmaceutical development, pathology, or data science

Graduate students can develop thesis projects that combine patient-derived material, spatial biology, computation, imaging, and therapeutic modeling. Potential training routes include:

• M.Sc. in Pathology (Thesis)
• Ph.D. in Pathology
• Ph.D. in Interdisciplinary Cancer Sciences

Applicants can review all available routes through McGill Pathology Graduate Studies.

Prospective graduate students should describe their research background, the Roy Lab research question that interests them most, and whether they prefer a computational, experimental, or integrated project.

Postdoctoral projects can be built around rare melanoma biology, spatial multiomics, computational pathology, machine learning, live imaging, functional tumor models, or therapeutic development. Fellows are expected to shape an independent project within the lab’s broader translational program.

A funded Roy Lab opportunity is listed through the RI-MUHC Canada’s Best postdoctoral program. The program provides a stipend of CAD $70,000 per year for up to four years. Eligibility, intake dates, and availability should be confirmed on the program site for each application cycle.

Residents and clinical fellows may contribute to projects that connect dermatopathology, molecular diagnostics, digital pathology, and melanoma biology. Available projects depend on the trainee’s schedule, research goals, and the time required for meaningful participation.

Undergraduate and medical student projects are offered when there is a defined question, appropriate supervision, and enough time for the student to contribute. Applicants should state their availability, prior research or computational experience, and the lab research area that interests them most.