Job Listings

Bioinformatics Engineer – Contract/Project-Based About the Opportunity We are a bioinformatics consulting group seeking experienced Bioinformatics Engineers for project-based contract work. This is not a full-time position but rather an opportunity to take on individual projects and assignments as they arise. Ideal for consultants, freelancers, or professionals looking for flexible, supplemental work that leverages their bioinformatics and cloud computing expertise.  

We are seeking a talented Master’s or PhD student in Computational Biology or Bioinformatics to join our Translational and Integrative Pathology Lab, investigating the molecular and spatial landscape of neuroendocrine lung neoplasms. The successful candidate will contribute to a cutting-edge project focused on Diffuse Idiopathic Pulmonary Neuroendocrine Cell Hyperplasia (DIPNECH)—a rare and understudied precursor lesion that can evolve into carcinoid tumors.   Leveraging spatial transcriptomics, deep genomic profiling, and tumor microenvironment (TME) analysis, this role will help uncover the clonal evolution and molecular mechanisms driving disease progression. The position offers a unique opportunity to work with high-resolution spatial omics data and contribute to impactful discoveries in lung cancer biology.

Location This position is available for hybrid work in Montreal or remote working in Canada only. Relocation and immigration support is available for candidates interested in living and working in Canada. About 5 Prime 5 Prime Sciences uses insights from human genetics to accelerate drug development. For the past 4 years, 5 Prime has helped large pharmaceutical companies, biotech and venture capital companies accelerate and de-risk their drug development pipeline. This effort has enabled our partners to move from target to Phase 2 in two years in some instances, achieving our mission of helping to deliver medicines to patients in need. Role Overview 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 inthis 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.

Reporting to the Research Officer, the Trainer will oversee the design, promotion and delivery of bioinformatics training events and documentation to academic and private sector users of the C3G core facility. This role will be instrumental in meeting the demand for training resulting from our business development efforts (open access) and specific projects with academic and industry partners. This role involves close collaboration with core facility users, the business developer and bioinformatics specialists. The Trainer will be exposed to a diverse range of cutting-edge molecular assays, innovative bioinformatics methods, and high-performance computing resources within a facility dedicated to high-throughput sequencing and large-scale genomic research.

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.

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.