Job Listings

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.