Job Listings

A 2-year (renewable) full-time postdoctoral fellowship is available in the laboratory of Prof. Alain Dabdoub. The position focuses on decoding the molecular landscape of the human inner ear during development and regeneration and translating these findings to advance therapeutic strategies. Our research investigates mechanisms that regulate auditory and vestibular homeostasis, the regeneration of sensory hair cells, stria vascularis, and auditory neurons as well as the implications for therapies and understanding disorders associated with aging, hearing loss, and balance dysfunction. Our projects combine state of-the-art computational tools and cutting-edge biological experiments.

Background The Personalized Approaches in the Treatment of Head and Neck Cancer (PATH) study aims to use longitudinal plasma cell‑free DNA sequencing to develop a minimally invasive method for detecting minimal residual disease (MRD) and recurrence in head and neck squamous cell carcinoma (HNSCC). Approximately 35 % of patients with HNSCC recur and die despite aggressive treatment. There are currently no validated biomarkers to monitor treatment response or detect residual disease. The proposed pilot will collect serial blood draws from 30–50 patients per year and perform whole‑genome sequencing (WGS) on Illumina and Oxford Nanopore Technology (ONT) platforms. It will integrate genomic, epigenomic and fragmentomic features (SNVs, copy‑number variants, methylation marks, fragment size, end‑motifs, nucleosomal positioning, viral integration) to sensitively detect low tumour fractions. The project’s third aim is to explore bioinformatics tools to develop a genome‑wide multimodal MRD analysis pipeline, analyze baseline plasma samples, and retrospectively analyze longitudinal samples to detect tumour burden. This position will be central to achieving those aims. High‑level Summary of the Role The post‑doctoral fellow will lead the development of an integrated analysis pipeline for detecting minimal residual disease in head and neck cancer patients by analyzing longitudinal plasma ctDNA. Using whole‑genome sequencing from both Illumina and Oxford Nanopore platforms, the fellow will combine genomic mutations, copy‑number alterations, methylation signatures, fragmentomics and viral integration data to sensitively track tumour burden over time. They will adapt and create bioinformatics methods, apply tumour‑informed analyses using matched tumour and normal WGS, and analyze baseline and follow‑up blood samples to identify early ctDNA signals before clinical standard of care recurrence. The fellow will collaborate within the GSC and PATH project to produce reports and manuscripts, and help scale the pipeline for future studies to impact cancer patient care.

The Pouget Lab is seeking a Postdoctoral Fellow in computational genomics and data science to study how genetic variation shapes neurodevelopment and vulnerability to psychosis. Our lab integrates large-scale human genomic data with multimodal, single-cell resolution molecular profiling of brain and peripheral immune cells to (1) discover molecular mechanisms of psychiatric disorders, (2) refine biologically grounded disease subtypes and therapeutic targets, and (3) develop scalable biomarkers for precision psychiatry. Ongoing projects include: Predictive modelling of psychosis symptom trajectories in large youth cohorts Integrative analysis of multimodal sequencing data, including paired single-nucleus RNA-seq + ATAC-seq from postmortem human brain and peripheral blood samples Whole genome sequencing in clinical populations to inform genetic testing guidelines TRAINING ENVIRONMENT As a post-doc in the Pouget Lab, you will work within a highly collaborative, multidisciplinary research program with direct clinical translation to youth mental health. Our lab offers a collaborative, people-first, mentorship-focused environment committed to rigor, reproducibility, Equity, Diversity, and Inclusion, and sustainable research careers. We are based at the Centre for Addiction and Mental Health (CAMH), Canada’s largest mental health teaching hospital and one of the world’s leading research centres in its field.  As Canada’s leading mental illness research facility, CAMH’s Campbell Family Mental Health Research Institute (CFMHRI) is home to scientists, staff and research trainees conducting leading research to improve the understanding of the brain and the causes, the biomarkers and cures for mental illness as well as research to advance the prevention and treatment for mental illness and addictions across the lifespan. CAMH is a fully affiliated teaching hospital and research institute of the University of Toronto.

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.

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.