Jobs

More than 250 million people are chronically infected with Hepatitis B virus (HBV) with no effective cure. My lab is part of the Toronto Centre for Liver Disease, one of the largest liver clinics in North America, with an active clinical trial research program testing novel hepatitis B therapies in Phase 1- 3 clinical trials. New studies are incorporating longitudinal liver sampling with single-cell RNA sequencing (scRNAseq) to better understand the intrahepatic immune response to novel treatments in the context of viral control and liver inflammation.

We are looking for a bioinformatician with demonstrated experience single-cell RNA sequencing analysis and an interest in incorporating new artificial intelligence tools into the analysis pipeline. The anticipation is that this qualified person will be able to work with large scRNAseq datasets with cell numbers >3,000,000 cells and be able to code in relevant languages to incorporate the latest analysis tools.

This is an opportunity to work with state-of-the-art data in the context of novel drugs in early-stage clinical trials. The position will involve industry collaboration with the expectation of academic publication. There will also be internal opportunities for collaboration in our basic research projects focused HBV pathogenesis using similar samples.

We are seeking a postdoctoral researcher with strong expertise in computational biology, statistical modeling, and analysis of high-dimensional biological and clinical data to contribute to an interdisciplinary research program focused on reproducible computational pipelines for translational cancer research. The lab has a strong focus on developing computational and machine learning approaches for biomarker discovery, therapeutic response modeling, and clinical translation in oncology.

The research program includes several ongoing and evolving projects in glioma and related cancers, broadly focused on tumor microenvironment characterization, liquid biopsy analysis, clinical trial correlative and multi-omics data integration. Current work involves analysis and integration of single-cell sequencing and immune repertoire data, circulating cell-free DNA (cfDNA) for biomarker development and disease classification, metabolomic profiling in relation to clinical variables, and large-scale genomic datasets, including whole-genome sequencing from multi-institutional collaborations. These projects are representative and not exhaustive, and the scope of work may expand to include additional data types and research directions.

Together, these efforts aim to advance translational cancer research through the development and application of computational pipelines and machine learning approaches to characterize disease biology, therapeutic response, and clinical outcomes from high-throughput genomic and clinical data. The successful candidate will work in the Kevin Wang Lab at the Princess Margaret Cancer Centre, and will have the opportunity to contribute to multiple projects and help shape new research directions within the lab.

The Mer Lab ( merlab.github.io/) at the University of Ottawa, Canada, is seeking a highly motivated postdoctoral fellow to develop machine learning and AI methods for large-scale biomedical data analysis, with a focus on multi-omics, precision medicine, and human disease.

The successful candidate will work at the intersection of bioinformatics, machine learning, artificial intelligence, and personalized medicine. The position is based in the Faculty of Medicine at the University of Ottawa, with affiliation to the School of Electrical Engineering and Computer Science. The postdoctoral fellow will join a vibrant and rapidly growing research environment with excellent opportunities for interdisciplinary collaboration in AI, medicine, omics, and computational biology.

Ottawa, Canada’s capital, is a multicultural and bilingual city known for its high quality of life, green spaces, cultural activities, and proximity to Montréal and Toronto.

POSTDOCTORAL FELLOWSHIP POSTING — CHUM RESEARCH CENTRE

Liquid biopsies are ushering in a new era in cancer diagnostics, making it possible to detect tumors from a simple blood draw.

In this context, our laboratory is developing a next-generation molecular technology to improve the sensitivity and specificity of circulating tumor DNA (ctDNA) detection.

This project offers a unique opportunity to contribute to a tangible biomedical advance at the intersection of technological innovation and precision medicine. This research program is fully funded and aims to change clinical practice in oncology.

The postdoctoral fellow will lead the development and validation of a novel experimental method with high clinical potential for liquid biopsies. The research program is fully funded and targets direct clinical impact.

The goal is to create a robust, reproducible, and sensitive technology capable of identifying cancer-associated genetic alterations — with the ambition of transforming patient care.

Candidate Profile

We are seeking an outstanding postdoctoral researcher driven by the ambition to transform clinical practice in oncology. Ideal profile:

• PhD. in molecular biology, genomics, biomedical engineering, or a related field;
• Strong publication record demonstrating the ability to lead high-caliber research projects;
• Experience in bioinformatics and sequencing data analysis (a major asset);
• Autonomy, experimental rigor, critical thinking, and the ability to work in a multidisciplinary team.

About the Laboratory

Professor Alexandre Pellan Cheng is an Associate Professor at ÉTS, a researcher at the CHUM Research Centre, and a member of the Open Innovation Laboratory (LIO). He obtained his Ph.D. in biomedical engineering from Cornell University and completed his postdoctoral training at the New York Genome Center.

The laboratory works in close collaboration with Dr. Antoine Desilets, a clinician-scientist at the CRCHUM with expertise in molecular oncology. A former Fellow at Memorial Sloan Kettering Cancer Center (MSKCC), Dr. Desilets leads a program of investigator-initiated trials (IITs), providing a true bench-to-bedside pathway for all projects in the group.

Details and Work Environment

• Compensation: Competitive postdoctoral salary (commensurate with experience)
• Location: CHUM Research Centre (CRCHUM), Montréal
• Affiliation: Postdoctoral fellowship, École de technologie supérieure (ÉTS) / CHUM Research Centre

Contact

alexandre.pellan-cheng@etsmtl.ca

https://pellanchenglab.github.io/

ANNONCE DE STAGE POSTDOCTORAL AU CENTRE DE RECHERCHE DU CHUM

Les biopsies liquides ouvrent une nouvelle ère dans le diagnostic du cancer, en rendant possible la détection de tumeurs à partir d’un simple prélèvement sanguin. Dans ce contexte, notre laboratoire développe une technologie moléculaire de nouvelle génération pour améliorer la sensibilité et la spécificité de la détection de l’ADN tumoral circulant (ctDNA). Ce projet offre l’opportunité unique de contribuer à une avancée biomédicale concrète, au croisement de l’innovation technologique et de la médecine de précision. Ce programme de recherche est entièrement financé et s’inscrit dans une démarche visant à changer la pratique clinique en oncologie.

Le/la stagiaire postdoctoral.e dirigera le développement et la validation d’une nouvelle méthode expérimentale à fort potentiel clinique pour les biopsies liquides. Le programme de recherche est entièrement financé et vise un impact clinique direct.

L’objectif est de créer une technologie robuste, reproductible et sensible, capable d’identifier des altérations génétiques associées au cancer — avec l’ambition de transformer la prise en charge clinique des patients.

Profil recherché

Nous recherchons un.e chercheur.e postdoctoral.e d’excellence, animé.e par l’ambition de transformer la pratique clinique en oncologie. Profil recherché :

• Doctorat (Ph.D.) en biologie moléculaire, génomique, génie biomédical ou domaine connexe ;
• Dossier de publications solide démontrant une capacité à mener des projets de recherche de haut calibre ;
• Expérience en bioinformatique et analyse de données de séquençage (un atout majeur) ;
• Autonomie, rigueur expérimentale, esprit critique et capacité à travailler en équipe multidisciplinaire.

À propos du laboratoire

Le professeur Alexandre Pellan Cheng est professeur agrégé à l’ÉTS, chercheur au Centre de recherche du CHUM, et membre du Laboratoire d’innovation ouverte (le LIO). Il a obtenu son doctorat en génie biomédical de Cornell University et a effectué ses recherches postdoctorales au New York Genome Center. Le laboratoire travaille en étroite collaboration avec le Dr Antoine Desilets, clinicien-chercheur au CRCHUM spécialisé en oncologie moléculaire. Ancien Fellow au Memorial Sloan Kettering Cancer Center (MSKCC), le Dr Desilets dirige un programme d’essais cliniques initiés par l’investigateur (IITs), offrant ainsi un véritable continuum du laboratoire au chevet du patient pour l’ensemble des projets du groupe.

Détails et environnement de travail

• Rémunération : Salaire postdoctoral compétitif (selon l’expérience)
• Lieu : Centre de recherche du CHUM (CRCHUM), Montréal
• Affiliation : Stage postdoctoral, École de technologie supérieure (ÉTS) / Centre de recherche du CHUM

Contact

alexandre.pellan-cheng@etsmtl.ca

https://www.desiletschenglabs.com/