Job Listings

At DNAstack, our mission is to power precision medicine by building software that breaks down barriers to responsible biomedical data sharing, discovery, and analysis. We build cutting-edge software and industry standards to help researchers and clinicians analyze sequencing data and make faster, more accurate diagnoses. We are looking for an experienced, full-stack Software Engineer (II) to join our team on a full-time, 12-month contract and help us design and develop products to power breakthrough discoveries in genomics and precision health. We are agile, move quickly, test and deploy continuously. You can expect to tackle a variety of challenging problems, and design and implement robust, secure, and scalable systems across multiple cloud environments. We work with governments, public health agencies, pharma companies, patient advocacy groups, diagnostic providers, and academic researchers, tackling neuroscience, oncology, and other specialty specific areas. Location: Toronto, Ontario (Remote) Employment Type: Full-Time, 12-month contract Salary Range: $125,000 to $175,000

At DNAstack, our mission is to power precision medicine by building software that breaks down barriers to responsible biomedical data sharing, discovery, and analysis. We build cutting-edge software and industry standards to help researchers and clinicians analyze sequencing data and make faster, more accurate diagnoses. We’re looking for a Bioinformatics Team Manager to lead and grow our team of exceptional bioinformatics analysts. This is a people leadership and function-building role first. The team has strong technical depth — we are looking for someone who can grow those people, earn the trust of senior leadership, advocate for the team’s best interests, and build the organizational muscle the function needs to scale. Location: Toronto, Ontario (Remote) Employment Type: Full-Time Salary Range: $100,000 to $150,000

At DNAstack, our mission is to power precision medicine by building software that breaks down barriers to responsible biomedical data sharing, discovery, and analysis. We build cutting-edge software and industry standards to help researchers and clinicians analyze sequencing data and make faster, more accurate diagnoses. We’re looking for an experienced Bioinformatics Analyst to join our bioinformatics team on a full-time, 12-month contract. You’ll be responsible for developing, optimizing, and maintaining high-performance, cloud-ready genomic pipelines that can be run reproducibly and at scale. You’ll work both independently and directly with external researcher partners in order to investigate, compare, and validate different approaches to omics data analysis, creating custom tools and pipelines where needed. Projects span a wide range of disease areas and data modalities, including multi-omics integration, spatial and single-cell transcriptomics, and cross-cohort analysis on federated cloud research platforms. Location: Toronto, Ontario (Remote) Employment Type: Full-Time, 12-month contract Salary Range: $100,000 to $150,000

Position Details Position: Early Career or Mid-Career Principal Investigator Location: MaRS Centre, Toronto Department: Computational Biology Reports To: Scientific Director, Computational Biology Hiring Range: Early Career $144,000 to $181,000 per annum Mid-Career $177,000 to $221,000 per annum Commensurate with 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, Permanent Position Summary The Ontario Institute for Cancer Research (OICR) is looking to fill an existing vacancy for an Early Career or Mid-Career Principal Investigator (PI) in Computational Biology to undertake world-class cancer research. We welcome applications from individuals at all career stages, including those wishing to establish their first research lab. The Computational Biology Program develops and applies data analysis approaches to advance OICR’s strategic priority on early cancer detection and interception. We seek to strengthen and expand our existing expertise in cancer genomics, statistical genetics, next-generation sequence analysis, biological knowledge bases and pathway/network analysis. We are particularly interested in, but not limited to, research that complements these areas, including applications of artificial intelligence and machine learning (e.g. for digital histopathology, genomic variant effect prediction, drug target identification or the accurate prediction of genetic and chemical perturbations of biological pathways), and modelling and interpreting cancer evolution.

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.

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.