Job Listings

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.

Job Reference no: CB_P01060_HSA186690_CCG_2025_07_18 Canada’s Michael Smith Genome Sciences Centre (GSC) is a state-of-the-art, large scale, high throughput, clinically accredited genomics and bioinformatics facility. If you have a Bachelor of Applied Science or a Bachelor of Science in biological science or computer science, as well as an interest in programming and human health, this is your opportunity to become involved in a team working with cutting-edge technology as a Clinical Computational Biologist. As a Computational Biologist, you will perform bioinformatics analyses and contribute to software development related to the operation of a large-scale clinical sequencing facility. The position is anchored within a team of exceptional scientists, computational biologists and programmers, which collaborate directly on the development of robust, cost efficient and competitive processes for new targeted and precision medicine analytical pipelines. Your work will help to save lives and contribute to a world free from the fear of cancer. By working within the GSCs bioinformatics facility, the successful applicant will develop close relationships with world-renown computational and genome science technologists, cancer researchers and medical scientists; have access to one of the most robust computational and next generation genome sequencing technology facilities in Canada, all while living in one of the most beautiful, diverse and eclectic cities in the world. This is an opportunity to work with highly motivated colleagues in a science-oriented, creative and dynamic environment. We offer a competitive salary, excellent benefits and significant career development opportunities.

Company Description: Roche Diagnostics is a global leader in healthcare diagnostics, committed to improving patient outcomes through innovative diagnostic solutions. With a focus on precision medicine and personalized healthcare, Roche Diagnostics develops and commercializes advanced diagnostic tests and technologies across various disease areas, including oncology, infectious diseases, and autoimmune disorders. Our mission is to empower healthcare professionals with accurate, timely, and actionable diagnostic insights to support informed clinical decision-making and improve patient care.   Job Description: We are seeking a talented and experienced AI expert in the field of bioinformatics and computational biology to join our dynamic team. In this role, the successful candidate will play a key role in the development and implementation of AI-driven approaches for the analysis, interpretation, and utilization of molecular data in diagnostic assays and platforms. Working closely with interdisciplinary teams of biologists, computer scientists, and domain experts, the AI expert will contribute to the advancement of Roche’s molecular diagnostic portfolio and drive innovation in precision diagnostics leveraging state-of-the-art methodologies and tools. A strong background in software development and data engineering will be a big advantage for this role. This could be a hydrid or remote position based on the location in Canada.