Jobs

The English version follows the French.

Laboratoire : Le laboratoire de recherche en oncologie pulmonaire intégrative et translationnelle à l’Institut Universitaire de Cardiologie et de Pneumologie de Québec (IUCPQ) – Université Laval (Faculté de Médecine) comprend une équipe multidisciplinaire composée de pathologistes thoraciques et moléculaires, généticiens, biologistes computationnels, bioinformaticiens, professionnels de recherches et étudiants gradués. Il est situé dans un centre de recherche de renommée internationale au sein duquel travaillent en collaboration des chercheurs impliqués en recherche fondamentale, en oncologie, en chirurgie thoracique et en pneumologie. Les membres du laboratoire travaillent en étroite collaboration avec les équipes cliniques de l’IUCPQ, la biobanque institutionnelle et des équipes de l’industrie pharmaceutique et des biotechnologies pour répondre à de grands enjeux ciblés sur les besoins des patients. Les projets du laboratoire intègrent l’analyses de multiples jeux de données -omiques, comme la transcriptomique et la protéomique spatiale, afin de répondre à des questions cliniques centrées sur les besoins des patients.

Poste : Nous cherchons un étudiant(e) à la maîtrise pour intégrer notre équipe de recherche à l’automne 2025 ou l’hiver 2026. L’étudiant(e) sera encouragé(e) à faire un stage rémunéré de 3 mois débutant à l’été 2025 avant le début de sa maîtrise. L’étudiant(e) travaillera sous la supervision des Dr. Fabien Lamaze (biologiste computationnel, chercheur associé), Dr. Sébastien Renault (bioinformaticien) et Dre. Andréanne Gagné (pathologiste et chercheur).

Description du projet : L’étudiant(e) sera impliqué(e) dans un projet de recherche translationnel sur un sous-type de cancer du poumon très agressif pour lequel il y a peu d’options thérapeutiques, soit les carcinomes à petites cellules du poumon (SCLC). Récemment, des analyses transcriptomiques ont permis de classer les SCLC en quatre sous-groupes qui ont une valeur potentiellement pronostique et thérapeutique. L’objectif est de corréler ces sous-groupes avec le pronostic des patients et d’identifier leurs mécanismes de régulation. Ceci permettra de mieux comprendre la biologie de ces tumeurs afin de mieux prédire le comportement clinique des tumeurs, trouver des mécanismes potentiels à des thérapies existantes et/ou découvrir de nouvelles avenues thérapeutiques. Via la biobanque institutionnelle, l’équipe a accès à une large cohorte unique et bien caractérisée. Ceci permettra à l’étudiant(e) sélectionné(e) de travailler sur l’analyse des données en utilisant des outils de bioinformatique, d’apprentissage machine, de transcriptique, de transcriptomique spatiale et de pathomique.

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Lab: The Integrative and Translational Lung Oncology Research Laboratory at the Institut Universitaire de Cardiologie et de Pneumologie de Québec (IUCPQ) – Université Laval (Faculty of Medicine) is a multidisciplinary team composed of thoracic and molecular pathologists, geneticists, computational biologists, bioinformaticians, research professionals, and graduate students. The lab is located within a world-renowned research center where researchers in basic science, oncology, thoracic surgery, and pulmonology collaborate closely. The lab works in tight collaboration with IUCPQ’s clinical teams, the institutional biobank, as well as pharmaceutical and biotechnology industry partners to address major challenges focused on patient needs. Projects integrate the analysis of multiple -omics datasets, such as transcriptomic and spatial proteomic mapping, to answer clinically driven, patient-centered questions.

Position: We are seeking a Master’s student to join our research team starting in Fall 2025 or Winter 2026. The student will be encouraged to complete a paid 3-month internship beginning in Summer 2025 prior to starting their Master’s. The student will work under the supervision of Dr. Fabien Lamaze (Computational Biologist, Associate Researcher), Dr. Sébastien Renault (Bioinformatician), and Dr. Andréanne Gagné (Pathologist and Researcher).

Project Description: The student will be involved in a translational research project focused on a highly aggressive subtype of lung cancer with limited therapeutic options: small cell lung carcinoma (SCLC). Recent transcriptomic analyses have classified SCLC into four molecular subtypes with potential prognostic and therapeutic relevance. The project’s objective is to correlate these subtypes with patient outcomes and identify their regulatory mechanisms. This work aims to improve our understanding of SCLC biology to better predict clinical behavior, uncover mechanisms exploitable by existing therapies, and potentially discover new therapeutic avenues.Through the institutional biobank, the team has access to a large, unique, and well-characterized cohort. The selected student will work on data analysis using bioinformatics, machine learning, transcriptomics, spatial transcriptomics, and pathomics tools.

Position:                      Research Associate II – Outreach Coordinator
Location:                     MaRS Centre, Toronto
Department:                Computational Biology
Reports To:                 Project Manager, Reactome
Salary:                         Commensurate with level of experience
Hours:                          Flexible (Full-time or Part-time options up to 35 hours/week)
Job Type:                    Hybrid or Remote
Status:                         Full-time Permanent or Renewable Contract

The Ontario Institute for Cancer Research (OICR) is seeking an experienced and highly motivated individual to act as Outreach Coordinator for the Reactome project.

Reactome (reactome.org) is an open access and open-source curated database of human biomolecular pathways. Pathways are assembled from the published literature by Masters- and PhD-level scientists and integrated into powerful bioinformatics analysis tools on the Reactome website. Our interdisciplinary and international team comprises biologists, software engineers, and user interface designers. 

As Reactome Outreach Coordinator, you will lead our community outreach activities, strengthening existing collaborations and developing initiatives to foster new ones. Working with the software and curatorial teams, you will coordinate Reactome communications, including conference presentations, workshops, scientific and lay papers, and social media. You will develop education and training materials for in person and online learning and will contribute to the documentation on the Reactome web site.

We have several graduate positions (PhD or MSc) available for individuals interested in single-cell molecular technologies, bioinformatics and data science. Possible research topics include:

– Identifying signatures to predict treatment response in breast cancer

– Single-cell genomics of immune responses to cancer

– Microbial single-cell transcriptomics

New students can join the lab via the Anatomy and Cell Biology or Biochemistry graduate programs and will have the opportunity to join Western’s Collaborative Specialization in Machine Learning in Health and Biomedical Sciences.

Lab website: https://phulab.org/positions

The Hu lab in the Department of Biochemistry at Western University, Canada has multiple fully funded MSc/PhD positions in artificial intelligence for bioinformatics. Western University ranks within the top 10 research-intensive universities in Canada and top 200 in the world (The Times Higher Education World University Rankings 2023). Dr. Hu is a Canada Research Chair in Computational Approaches to Health Research and has excellent experience in mentoring trainees at different levels. Many of his trainees have received international and national awards, accepted into top graduate schools (like Oxford, Cambridge, UCLA, CMU, Toronto, UBC, McGill), employed in high-tech companies (like Google, Microsoft, Amazon), and landed tenure-track professor position with nomination for Canada Research Chair. The successful candidates can be registered in Collaborative Specialization in Machine Learning in Health and Biomedical Sciences (uwo.ca/sci/datascience/graduate/collaborative-specialization-ml-health-biomedical.html) in the Hu lab through the Department of Biochemistry.