Job Listings

About SickKids Dedicated exclusively to children and their families, The Hospital for Sick Children (SickKids) is one of the largest and most respected paediatric healthcare centres in the world.  As innovators in child health, we lead and partner to improve the health of children through the integration of healthcare, leading-edge research and education.  Our reputation would not have been built – nor could it be maintained – without the skills, knowledge and experience of the extraordinary people who come to work here every day.  SickKids is committed to ongoing learning and development, and features a caring and supportive work environment that combines exceptionally high standards of practice. When you join SickKids, you become part of our community. We share a commitment and determination to fulfill our vision of Healthier Children. A Better World. Don’t miss out on the opportunity to work alongside the world’s best in paediatric healthcare. Position Description Research Associate, Genome Analyst Cardiac Genome Clinic Research Program, Ted Rogers Centre for Heart Research Reporting to: Clinical Investigator(s), Ted Rogers Cardiac Genome Clinic Research Program About the Role We are seeking a Research Associate (Genome Analyst/Research Genetic Counsellor) to play a pivotal role in advancing precision cardiology through genomic science. This position is with the  Cardiac Genome Clinic, a translational research initiative that combines clinical care, advanced genomics, and data science to improve outcomes for individuals with cardiac disease.  The Cardiac Genome Clinic is a program affiliated within the Ted Rogers Centre for Heart Research, a unique collaboration between The Hospital for Sick Children, University Health Network, and the University of Toronto. In this role, you will perform genomic variant analysis and contribute to the design, development, and implementation of cardiac genomic analysis pipelines.  You will work as part of a multidisciplinary team alongside medical geneticists, genetic counsellors, bioinformaticians and other local and international experts. Your work will help translate cutting-edge genomic discoveries into meaningful clinical impact. This is an ideal opportunity for a scientifically curious and collaborative genomic professional who is motivated by real-world impact, innovation, and leadership in a rapidly evolving field.

Company Description UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada’s top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto. UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality. www.uhn.ca Job Description Union: Non-Union Number of Vacancies: 1 New or Replacement Position: New Site: Princess Margaret Cancer Centre, MaRS Tower Department: Princess Margaret Research Institute Reports to: Principal Investigator Salary Range: $54,902 – $93,333 Annually Hours: 37.5 Hours Per Week Shifts: Monday – Friday Status: Temporary Full-time Closing Date: May 25, 2026 Position Summary: A computational postdoctoral researcher position is available in the laboratory of Dr. Gregory Schwartz to study cellular diversity in response to anti-cancer therapies. The Schwartz Lab is located within the heart of the Discovery District, at the intersection of the Princess Margaret Cancer Centre, the University of Toronto, and MaRS, the centre of a rich network of scientists and clinicians. The Schwartz Lab studies the contribution of cellular heterogeneity to therapeutic response and cancer evolution. Towards this goal, the laboratory develops novel multi-omic and single-cell computational methods to improve cancer diagnosis and treatment through precision medicine. Notably, work from researchers in the laboratory include new methods for inferring cell-cell communication at the interface of tumour and stroma, integrating transcriptomics and proteomics data to identify novel biomarkers across cancer subtypes, and clustering and visualization algorithms for single-cell transcriptomics, epigenomics, and spatial multiomics. For more information on the types of tools we will develop, please visit https://schwartzlab.ca/. This position is a temporary full-time postdoctoral appointment for an initial one-year term, with the possibility of renewal for additional years, subject to performance, funding availability, and program requirements.

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.

The Climate-Smart Data Collaboration Centre (CS-DCC) is seeking an RDM Catalogue and Curation Lead to join a collaborative research and development team at the University of Guelph. This position is well-suited to individuals interested in gaining practical experience in research data management (RDM), metadata, and research infrastructure, while working closely with software developers and academic researchers. This is a 2-year contract position in a hybrid working environment. The Climate-Smart Data Collaboration Centre (CS-DCC) serves as the national data hub for Genome Canada’s Climate-Smart Agriculture and Food Systems (CSAFS) initiative. Its mission is to deliver interoperable infrastructure, tools, and governance frameworks that enable FAIR-compliant data sharing, while respecting data sovereignty. By connecting Genome Centres, Interdisciplinary Challenge Teams (ICTs), and external partners, the CS-DCC fosters collaboration, transparency, and inclusive engagement across Canada’s agri-food research ecosystem. Our work focuses on (meta)data governance and harmonization, research data management, data analytics, and data-sharing policy, supporting omics-driven innovation in climate-smart agriculture and food systems research.

Position: Bioinformatician II Location: MaRS Centre, Toronto Department: Computational Biology (Pai Lab) Reports To: Principal Investigator I Hiring Range: $66,000 – $74,100 per annum commensurate with level of experience; total compensation includes a competitive benefits plan, plus a defined benefit pension plan (HOOPP) Hours: 35 hours/week Job Type: Hybrid Status: Full-time, Temporary (1-year contract)   The Ontario Institute for Cancer Research (OICR) is looking to fill an existing vacancy for a Bioinformatician II to join the Computational Biology team. The Bioinformatician II will support research projects involving genomic analysis, particularly of single-cell genomics data. The successful candidate will work closely with computational biologists and wet-lab scientists to process, analyze, and interpret single-cell and bulk tissue ‘omic data. The immediate team need is for single-cell RNAseq and ATACseq analysis for an exciting ongoing project with prospect of manuscript submission within the year. This role is ideal for candidates interested in applying computational methods to biological questions in a collaborative research environment. This position is temporary, full-time for one-year.

We are seeking a Genetic Epidemiologist or Statistical Geneticist to join our multidisciplinary team advancing genetics-first drug discovery. You will conduct large-scale genetic analyses, including GWAS, MR, and multi-omic QTL studies, using individual- and summary-level data. Your role will involve building reproducible analytical workflows in Python, applying core statistical methods, and employing best practices in version control, containerisation, and data provenance. Success in this role requires strong analytical skills, experience with population-scale genomics datasets and bioinformatics tools, and the ability to manage multiple scientific projects. You will work closely with colleagues across disciplines and contribute to clear, insightful client communications.

We’re looking for a contract Bioinformatics Scientist to support cutting-edge computational work at the intersection of CRISPR gene editing and genomic safety assessment. You’ll be embedded with an R&D team building and maintaining the analytical infrastructure that powers off-target profiling assays — work that directly shapes how gene editing therapies are evaluated for safety. This is a hands-on pipeline engineering role. You’ll spend most of your time designing, building, and validating NGS analysis workflows, collaborating across science and engineering teams, and turning complex genomic outputs into interpretable insights.

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/

We are seeking an outstanding and highly motivated PhD student in Computational Biology or Bioinformatics to join the Translational and Integrative Pathobiology Lab (LCTIP‑Lab) in Québec City. This position offers a unique opportunity to work at the forefront of spatial omics, tumor microenvironment (TME) biology, and multimodal data integration, under the co‑supervision of Dr Philippe Joubert and Dr Fabien Lamaze. The PhD project focuses on Diffuse Idiopathic Pulmonary Neuroendocrine Cell Hyperplasia (DIPNECH)—a rare and poorly understood precursor lesion that can progress to pulmonary carcinoid tumors. This understudied disease context provides a rare opportunity to make first‑in‑field discoveries with strong translational relevance. By leveraging spatial transcriptomics, deep genomic profiling, and TME‑focused analyses, the successful candidate will investigate clonal evolution and molecular mechanisms driving disease progression at high spatial resolution. The project is designed to generate impactful insights into lung cancer biology while providing rigorous training in advanced computational and analytical methods. Research Environment & Resources The successful candidate will work with state‑of‑the‑art spatial and single‑cell platforms, including: Visium HD Xenium PhenoCycler‑Fusion CyTOF These technologies are rarely available together within a single PhD project. The lab provides access to deeply annotated clinical, histological, and genomic datasets, and fosters a highly collaborative environment bridging pathology, genomics, computational biology, and machine learning. Strong mentorship is provided in: Computational and statistical methods Cancer and TME biology Scientific writing, presentations, and academic career development

About the Job Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world.   We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.   As one of Canada’s leading investors in life sciences, manufacturing and research and development, we focus on delivering new and better ways to address unmet medical needs. Our life-changing and lifesaving products are grounded in science that Canadians can trust.   Sanofi has embarked on a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of data adoption with artificial intelligence (AI) and machine learning (ML) tools. We strive to use AI and ML across the organization to accelerate functions like R&D, medical, manufacturing, and commercial performance. Our objective is to complement our business partners with AI to provide life-improving and lifesaving drugs and vaccines to patients faster and more effectively.