Job Listings

The Morrissy Lab is seeking a highly motivated scientist with expertise in bioinformatics and data science to join our team as a Postdoctoral Associate focused on understanding immunotherapy responses in solid tumors. The candidate will use state-of-the-art analytic approaches to investigate multi-omics data and derive an in-depth understanding of tumor ecosystem dynamics in clinical samples from immunotherapy trials – including phenotypic and functional cell heterogeneity, tumor and microenvironment cell niches, and cellular crosstalk. This research is primarily focused on cohorts of single-patient and phase I clinical trial participants treated with CAR T-cells (see Zemp el, 2024, in revision at Nature; preprint on medRxiv), and identifying mechanisms of immunotherapy response and resistance from longitudinally-collected blood and tumor tissue samples. The candidate will employ innovative bioinformatics and machine learning approaches to integrate single cell and spatial datasets from clinical samples with data from ongoing preclinical studies, further incorporating genomics and proteomics profiles from in-house or public repositories.

About Epitopea Epitopea is a biotech company developing next-generation cancer immunotherapies. Using our Cryptigen™ platform, we combine immunopeptidomics and transcriptomics to identify shared tumor-specific antigens. By integrating multi-omic datasets with advanced computational methods, we aim to create accessible, off-the-shelf cancer vaccines for patients. The Opportunity We are seeking a Postdoctoral Fellow in Computational Biology to join Epitopea’s ASCEND Fellowship program. This is a unique opportunity to contribute to translational research at the interface of immunology, cancer biology, and computational science, while receiving tailored career development support from adMare BioInnovations. The Fellow will work closely with Epitopea’s multidisciplinary team of wet-lab scientists and computational biologists. This is a rare opportunity to join a growing biotech company at a formative stage and to make a direct impact on early vaccine development. This role is based in Montreal, QC, Canada and requires on-site presence. French version: À propos d’Epitopea Epitopea est une entreprise de biotechnologie qui développe des immunothérapies de nouvelle génération contre le cancer. À l’aide de notre plateforme Cryptigen™, nous combinons l’immunopeptidomique et la transcriptomique pour identifier des antigènes communs spécifiques aux tumeurs. En intégrant des ensembles de données multi-omiques à des méthodes computationnelles avancées, nous visons à créer des vaccins contre le cancer accessibles et “off-the-shelf”, pouvant bénéficier à un grand nombre de patients. L’opportunité Nous recherchons un chercheur postdoctoral en biologie computationnelle pour rejoindre le programme de bourses ASCEND d’Epitopea. Il s’agit d’une occasion unique de contribuer à la recherche translationnelle à l’interface de l’immunologie, de la biologie du cancer et des sciences computationnelles, tout en bénéficiant d’un soutien personnalisé en matière de développement de carrière de la part d’adMare BioInnovations. Le boursier travaillera en étroite collaboration avec l’équipe multidisciplinaire d’Epitopea, composée de scientifiques de laboratoire et de biologistes computationnels. Il s’agit d’une occasion rare de rejoindre une entreprise de biotechnologie en pleine croissance à un stade formatif et d’avoir un impact direct sur le développement de nos vaccins. Ce poste est basé à Montréal (Québec, Canada) et nécessite une présence sur site.

This is a full time position within the Arnie Charbonneau Cancer Institute reporting to Dr. Sorana Morrissy and Dr Augusto Faria Andrade, at the Cumming School of Medicine. The position is available beginning immediately for an appointment period of 12 months, with the option to extend for multiple years. The University of Calgary’s Charbonneau Cancer Institute has a thriving immunotherapy research program focused on developing next-generation immunotherapies and delivering them to cancer patients in Alberta and beyond. In bringing together basic, translational and clinical scientists and supporting them to achieve a shared mission, this unique ecosystem for translational research produces knowledge, inventions, collaborations, and commercial opportunities. The bioinformatician role will be positioned within the Discovery and Innovation node of this program to (1) to identify and study novel therapeutic targets for immune therapy in solid tumors, including pediatric brain cancers, and (2) support collaborative research projects. The successful candidate will have responsibility at technical and intellectual levels. The Bioinformatician will design and implement workflows for multi-omic datasets generated in-house and acquired from public data repositories. They will work closely and collaboratively with staff and trainees within and outside of the immunotherapy program to facilitate informatics needs towards translational medicine goals. Their work will focus on the genomics, machine learning, and translational medicine space. They will analyze data, prepare and deliver reports and presentations, attend and present their findings at local, national and international meetings, and contribute to manuscript and grant preparation. The Bioinformatician will play an integral role throughout the program and will benefit from opportunities for training and growth towards more senior roles. Ultimately, they will contribute to a scientific ecosystem that supports an integrated array of translational research within the Charbonneau Cancer Institute at the Cumming School of Medicine.

Position Summary The Lunenfeld-Tanenbaum Research Institute (LTRI) of Sinai Health, a University of Toronto-affiliated research centre, is seeking two (2) emerging leaders in the broad area of Population Health Data Science. The appointments will be for Full-Time Principal Investigators, rank equivalent to Assistant or Associate Professors, with the anticipated starting date of September 1, 2026, or a date to be mutually agreed upon. We seek applicants who will develop independent, outstanding and innovative Population Health Data Science research programs. We will consider applicants spanning all areas of Population Health Data Science, including complex disease epidemiology, infectious disease research, risk prediction modeling, population and medical data linkage, geospatial data mining, multi-omics data integration, and artificial intelligence (AI) applications in health sciences, such as causal machine learning, deep learning for medical imaging, generative AI and more.  The positions are open to both those who are specialized in methodological development, as well as those focused on innovative applications to impactful population health issues.  The health topics include but are not limited to perinatal and maternal-child health, cancers, cardiometabolic conditions, autoimmune diseases and other complex health issues. The Lunenfeld-Tanenbaum Research Institute is one of Canada’s leading biomedical research institutes, located within Mount Sinai Hospital at Sinai Health in downtown Toronto. The LTRI is dedicated to excellence in health research and the development of early-career investigators. LTRI’s faculty members are internationally renowned for their work in cancer, maternal-infant health, diabetes, inflammatory conditions, and genetic disorders among others. Large-scale health data has been collected through multiple research initiatives and platforms. Within the LTRI, the Prosserman Centre for Population Health Research comprises multi-disciplinary scientists focusing on quantitative research of complex diseases, including precision health and multi-omics data integration based on large-scale cohorts and biobank data. Partnering with the Data Sciences Institute, the Dalla Lana School of Public Health, the Department of Statistical Sciences, and the Department of Computer Science at the University of Toronto, the Prosserman Centre for Population Health Research is a hub for an active research community of public health research, complex disease epidemiology, omics data sciences and quantitative method innovation. LTRI provides a research-intensive environment with modern and innovative core facilities. These include institutional high-performance computing clusters, biobanking as well as next-generation sequencing, single-cell platforms, proteomics, robotics, and advanced cellular imaging, which drive technology development and are housed in the Network Biology Collaborative Centre. LTRI has a fully accredited Biospecimen Repository for biobanking and a dedicated Research Trainee Centre that supports trainees across disciplines from around the world. LTRI research groups engage in productive collaborations with the larger University of Toronto community, as well as national and international networks. The University of Toronto boasts one of the world’s most concentrated biomedical research communities, and is notably home to the Toronto Academic Health Science Network (TAHSN), the Vector Institute for Artificial Intelligence and the Data Sciences Institute. Government agencies such as the Ontario Institute for Cancer Research and Public Health Ontario, with whom our researchers partner, are also based in Toronto.  Toronto is a vibrant, safe, multicultural city with excellent quality of life.

Job Reference: Job Reference No. RA_R00006_POG_2025_08_26 Summary The Research Associate will work within the Clinical Informatics team as part of the Personalized OncoGenomics Program (POG). The goal of this program is to develop cutting-edge approaches to aid in the determination of relevant therapeutic options based on the genomic and transcriptomic information derived from a patient’s tumour. Working under the supervision of the Principal Investigator and the Group Leader, the Research Associate will be responsible for analyzing, interpreting and communicating cancer genomic data into research reports. The analyst will also be involved in collaborative research analysis activities relating to the development, implementation and assessment of bioinformatic tools. The ideal candidate is passionate about genomics, translational research and impacting cancer patient care.

The Opportunity The Department of Molecular Biology & Biochemistry (MBB) in the Faculty of Science at Simon Fraser University (SFU) invites applications for a full-time, continuing teaching faculty position at the rank of Lecturer. The expected start date is March 15, 2026. We are seeking exceptional candidates with demonstrated excellence in teaching and experience in curriculum development. Lecturers are integral members of the Faculty of Science, playing a crucial role in our academic mission by preparing students for various careers in health and science-related fields and for graduate studies. They provide pedagogical leadership and actively participate in faculty administration, possessing voting rights on all faculty and university matters, similar to tenure-track research faculty. Lecturers have the opportunity for promotion to Senior Lecturer and University Lecturer ranks and are eligible to apply for paid study leaves to support their career advancement and professional development. A typical Lecturer appointment consists of 80% teaching and 20% service.   About the Department of Molecular Biology & Biochemistry and SFU Teaching and research in MBB are centered on understanding and exploring the molecules of life, spanning the breadth from atoms to cells to whole organisms and populations, from enzyme mechanism to the genetics of cancer to the origins of life. We provide a diverse array of courses at the undergraduate and graduate levels, reflecting our four research pillars: Bioinformatics & Genomics, Cells & Disease, Infection & Immunity, and Macromolecular Biochemistry. We take pride in fostering a supportive and accommodating environment for all our members. Situated on the Burnaby campus, we are a short walk from the University Childcare Centre, athletic facilities and scenic hiking trails, and an easy drive to beaches and ski slopes.

The Michael Smith Laboratories (MSL), in partnership with the Department of Microbiology and Immunology (MBIM) in the Faculty of Science at the University of British Columbia (UBC) in Vancouver seeks candidates for an Assistant Professor of Teaching with an expected start date of no earlier than January 1, 2026, and an annual salary within the range of $110,000-130,000. This recruitment marks a strategic expansion of our educational excellence. The successful candidate would join a team with deep educational leadership expertise within the combined MSL and MBIM, and receive mentoring and support towards career progression. The successful candidate will hold a joint appointment in the Michael Smith Laboratories (MSL) and the Department of Microbiology and Immunology (MBIM). Envisioned by Dr. Michael Smith, a Nobel Laureate and a pioneer at the interface of biology and technology, the Michael Smith Laboratories (MSL; https://www.msl.ubc.ca/) was one the first institutes in the world that recognized the power of scientists and engineers working together in interdisciplinary contexts. Our highly interdisciplinary and collaborative research environment supports faculty with focus in genomics, molecular biology, engineering, and biotechnology. Today, the MSL is home to a world class team of researchers with diverse expertise, from faculties including Science, Medicine, Applied Science, Forestry, and Land and Food Systems. UBC’s campuses are located on the traditional, ancestral, and unceded territories of the Syilx (Okanagan) Peoples and of the Coast Salish Peoples, including the territories of the xwməθkwəy̓əm (Musqueam), Skwxwú7mesh (Squamish), and Stó:lō and Səl̓ílwətaʔ/Selilwitulh (Tsleil Waututh) Nations. The closing date for applications is September 30th, 2025.

The Centre for Molecular Medicine and Therapeutics at the University of British Columbia seeks applications for a Research Associate in the Wasserman Lab working on the Silent Genomes Project.  The Wasserman laboratory partners with a strong genetics community to develop and apply computational (bioinformatics) methods to improve diagnosis for individuals with rare genetic disorders caused by variations in genome sequences.  The Silent Genomes Project is a national collaboration focused on the establishment of an Indigenous Background Variant Library under Indigenous governance and oversight.   Based on the campus of BC Children’s Hospital, the Wasserman laboratory is the lead laboratory for the technical implementation of the Indigenous Background Variant Library, including the implementation of software pipelines for processing whole genome sequence data generated at an approved genome centre, the implementation of quality control analyses, the construction of the database to host the generated genetic data and the implementation of the interface via which the data can be accessed by approved users.  The work, while computational in focus, requires close interaction with an Indigenous governance committee, collaborators and trainees.  The ideal candidate will apply computational skills to develop computationally efficient and reproducible results for the detection of genetic variants across whole genome sequences from hundreds to thousands of individual samples, establish and document standard operating procedures for such analyses, incorporate new innovative methods for detection of genetic variants (either for new classes of variants or using data from different sequencing techniques (e.g. long-read)), and contribute to the development of scientific manuscripts, reports and funding applications.  Central to the work, is extraordinary attention to the sensitivity of the data being processed, with particular emphasis on the rights of Indigenous peoples and the central importance of adhering to the Indigenous governance procedures within the project. Experience with whole genome sequence processing and analysis, pipeline management software (e.g. Nextflow or SnakeMake) and working with highly sensitive genetic data are strong advantages.   Organizational Status This is a leadership role, requiring a high degree of independence, initiative and professional judgement.  The successful candidate reports to and receives guidance from Dr. W. Wasserman (Professor, Medical Genetics, Project Leader), with input and advice from Dr. L. Arbour (Medical Geneticist, Co-Project Leader) and Dr. Nadine Caron (Co-Project Leader) as needed.  The successful candidate supervises staff members and possibly University students or volunteers working on Silent Genomes.     Consequence of Error/Judgement Lack of careful attention to protocols and regulatory and ethical guidelines could suspend the Investigator’s laboratory and/or the University as a site for further research and/or funding. Performance must strictly conform to research protocols, Tri-Council policy statement, and standard Canadian guidelines for health research involving Indigenous People.   A high level of cultural competency and sensitivity is necessary in this position, as any insensitive actions could jeopardize our longstanding research relationship with the Indigenous communities we work with.   Errors in the dissemination of DNA sequence data or any breach of confidentiality could jeopardize this research study and Dr. Wasserman’s research program. A confidentiality agreement must be signed, stating that any identifying and/or personal information will be held in the strictest confidence.  Inaccuracies or incompleteness of data collection, or errors in the collection and handling of biological samples could result in erroneous data analysis and study results; therefore, it is imperative that the successful candidate is detail- oriented and very careful with their work.   Supervision Received The incumbent works with wide latitude and demonstrates a high degree of independence.  They report to and receive guidance from Dr. W. Wasserman (Professor, Medical Genetics, Project Leader).   Supervision Given The incumbent provides direction and expertise to project team members, including research assistants, overseeing the daily activities of trainees, and directing a scientific computer programmer participating on the Silent Genomes project.

The Michael Smith Laboratories (MSL), in partnership with the Department of Microbiology and Immunology (MBIM) in the Faculty of Science at the University of British Columbia (UBC) in Vancouver seeks candidates for an Assistant Professor of Teaching with an expected start date of no earlier than January 1, 2026, and an annual salary within the range of $110,000-130,000. This recruitment marks a strategic expansion of our educational excellence. The successful candidate would join a team with deep educational leadership expertise within the combined MSL and MBIM, and receive mentoring and support towards career progression. Appointed within the Educational Leadership stream, the candidate is also expected to demonstrate a strong potential for educational leadership, as outlined by the Faculty of Science and the Centre for Teaching, Learning and Technology (CTLT). Envisioned by Dr. Michael Smith, a Nobel Laureate and a pioneer at the interface of biology and technology, the Michael Smith Laboratories (MSL; https://www.msl.ubc.ca/) was one the first institutes in the world that recognized the power of scientists and engineers working together in interdisciplinary contexts. Our highly interdisciplinary and collaborative research environment supports faculty with focus in genomics, molecular biology, engineering, and biotechnology. Today, the MSL is home to a world class team of researchers with diverse expertise, from faculties including Science, Medicine, Applied Science, Forestry, and Land and Food Systems. UBC’s campuses are located on the traditional, ancestral, and unceded territories of the Syilx (Okanagan) Peoples and of the Coast Salish Peoples, including the territories of the xwməθkwəy̓əm (Musqueam), Skwxwú7mesh (Squamish), and Stó:lō and Səl̓ílwətaʔ/Selilwitulh (Tsleil Waututh) Nations. UBC hires on the basis of merit and is committed to employment equity. Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. Inclusion is built by individual and institutional responsibility through continuous engagement with diversity to inspire people, ideas, and actions for a better world. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the B.C. Human Rights Code, including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First Nation, Métis, Inuk, or Indigenous person. UBC acknowledges that certain circumstances may cause career interruptions that legitimately affect an applicant’s record of research or educational leadership achievement. We encourage applicants to note in their applications whether they would like consideration given to the impact of any circumstances, such as those due to health or family reasons, in order to allow for a fair assessment of their research productivity. All qualified candidates are encouraged to apply; however Canadian citizens and permanent residents will be given priority, and members of historically marginalized groups will be given special consideration. If you have any needs or questions regarding accommodations or accessibility during the job application, recruitment and hiring process or for more information and support, please visit UBC’s Center For Workplace Accessibility website at https://hr.ubc.ca/health-and-wellbeing/working-injury-illness-or-disability/centre-workplace-accessibility or contact the Centre at workplace.accessibility@ubc.ca. The University is committed to creating and maintaining an accessible work environment for all members of its workforce. Within this hiring process we will make efforts to create an accessible process for all candidates (including but not limited to disabled people). Confidential accommodations are available on request by contacting Marc Betsayda by email at hr@msl.ubc.ca. The closing date for applications is September 30th, 2025.  

Job Summary The Centre for Molecular Medicine and Therapeutics at the University of British Columbia seeks applications for a Research Associate in the Wasserman Lab working on the Silent Genomes Project.  The Wasserman laboratory partners with a strong genetics community to develop and apply computational (bioinformatics) methods to improve diagnosis for individuals with rare genetic disorders caused by variations in genome sequences.  The Silent Genomes Project is a national collaboration focused on the establishment of an Indigenous Background Variant Library under Indigenous governance and oversight.   Based on the campus of BC Children’s Hospital, the Wasserman laboratory is the lead laboratory for the technical implementation of the Indigenous Background Variant Library, including the implementation of software pipelines for processing whole genome sequence data generated at an approved genome centre, the implementation of quality control analyses, the construction of the database to host the generated genetic data and the implementation of the interface via which the data can be accessed by approved users.  The work, while computational in focus, requires close interaction with an Indigenous governance committee, collaborators and trainees.  The ideal candidate will apply computational skills to develop computationally efficient and reproducible results for the detection of genetic variants across whole genome sequences from hundreds to thousands of individual samples, establish and document standard operating procedures for such analyses, incorporate new innovative methods for detection of genetic variants (either for new classes of variants or using data from different sequencing techniques (e.g. long-read)), and contribute to the development of scientific manuscripts, reports and funding applications.  Central to the work, is extraordinary attention to the sensitivity of the data being processed, with particular emphasis on the rights of Indigenous peoples and the central importance of adhering to the Indigenous governance procedures within the project. Experience with whole genome sequence processing and analysis, pipeline management software (e.g. Nextflow or SnakeMake) and working with highly sensitive genetic data are strong advantages.   Organizational Status This is a leadership role, requiring a high degree of independence, initiative and professional judgement.  The successful candidate reports to and receives guidance from Dr. W. Wasserman (Professor, Medical Genetics, Project Leader), with input and advice from Dr. L. Arbour (Medical Geneticist, Co-Project Leader) and Dr. Nadine Caron (Co-Project Leader) as needed.  The successful candidate supervises staff members and possibly University students or volunteers working on Silent Genomes.     Consequence of Error/Judgement Lack of careful attention to protocols and regulatory and ethical guidelines could suspend the Investigator’s laboratory and/or the University as a site for further research and/or funding. Performance must strictly conform to research protocols, Tri-Council policy statement, and standard Canadian guidelines for health research involving Indigenous People.   A high level of cultural competency and sensitivity is necessary in this position, as any insensitive actions could jeopardize our longstanding research relationship with the Indigenous communities we work with.   Errors in the dissemination of DNA sequence data or any breach of confidentiality could jeopardize this research study and Dr. Wasserman’s research program. A confidentiality agreement must be signed, stating that any identifying and/or personal information will be held in the strictest confidence.  Inaccuracies or incompleteness of data collection, or errors in the collection and handling of biological samples could result in erroneous data analysis and study results; therefore, it is imperative that the successful candidate is detail- oriented and very careful with their work.   Supervision Received The incumbent works with wide latitude and demonstrates a high degree of independence.  They report to and receive guidance from Dr. W. Wasserman (Professor, Medical Genetics, Project Leader).   Supervision Given The incumbent provides direction and expertise to project team members, including research assistants, overseeing the daily activities of trainees, and directing a scientific computer programmer participating on the Silent Genomes project.