Summary
The Institut universitaire de cardiologie et de pneumologie de Québec (IUCPQ) – Université Laval is inviting applications for a PhD position in Computational Biology/Bioinformatics with a focus on spatial omics and tumor microenvironment biology.
PhD Position in Bioinformatics / Spatial Omics, Québec City, Quebec, Canada
Designation
PhD Candidate
| Attribute | Details |
|---|---|
| Research Area | Bioinformatics, Spatial Omics |
| Location | Québec City, Quebec, Canada |
| Eligibility/Qualification | BSc or MSc in Bioinformatics, Computational Biology, Genomics, or a related field |
| Last Date for Application | September 2026 |
Research Area
The study will focus on Diffuse Idiopathic Pulmonary Neuroendocrine Cell Hyperplasia (DIPNECH) and aims to explore clonal evolution and molecular mechanisms driving disease progression.
Description
This PhD position allows students to engage in advanced research utilizing state-of-the-art technologies such as Visium HD, Xenium, and PhenoCycler-Fusion. Students will be trained in multi-modal data analysis, cancer biology, and the development of reproducible bioinformatics pipelines.
Responsibilities:
- Analyze and integrate multi-modal datasets, including spatial omics profiling and bulk RNA-seq.
- Develop and maintain reproducible bioinformatics pipelines for spatial data.
- Collaborate with interdisciplinary teams of researchers.
- Contribute to scientific publications and presentations.
Qualifications:
- Proficiency in R and/or Python.
- Experience with single-cell or spatial analysis frameworks (e.g., Seurat, Scanpy).
- A keen interest in cancer biology and integrative data analysis.
How to Apply
Interested candidates should submit a single document including:
- Cover Letter
- Curriculum Vitae (CV)
- Academic Transcripts
- 1 Reference Letter
Submit applications to: [University’s application portal or specific email address if available]
Last Date for Application
All applications must be submitted by September 2026.
For further information, candidates are encouraged to visit the CBH (Canadian Bioinformatics Hub) website or contact the institution directly.
