Our centre is expanding with the following openings (click for full details and to apply):
Independent Scientist for Artificial Intelligence
The Independent Scientist for Artificial Intelligence will build and lead a team responsible for developing machine learning techniques that contribute to data-driven definitions of mental health and brain disorders, identifying outcome predictors and optimal intervention opportunities. The Krembil AI Team will integrate machine learning, predictive models and decision support into CAMH, and work in close collaboration with clinical and research scientists on early identification of mental health issues and improving care, clinical outcomes and patient engagement. The successful candidate will be considered for an appointment as a Vector Faculty Member on a part-time basis for an indefinite duration.
Independent Scientist for Computational Genomics
The Independent Scientist for Computational Genomics will build and lead a team of talented bioinformatics researchers, computational biologists, and computer scientists who employ and develop state-of-the-art genetic, epigenetic and transcriptomic analyses and predictive models to provide new insights into mental health and brain disorders in a data-driven way, making outcome predictors and identifying optimal intervention opportunities.
Independent Scientist for Brain Circuit Modelling
The Independent Scientist for Brain Circuit Modelling will build and lead a team responsible for the development, simulation and analysis of dynamic and perturbable computational models of biophysically detailed brain circuitry (for both preclinical and human brains), integrating genetic, epigenetic and transcriptomic data, and ion channel, cellular and synaptic biophysics. The team will work in close collaboration with other groups involved in detailed biophysical modelling, e.g. the Blue Brain Project and Allen Institute for Brain Science. The team will also be responsible for curating and maintaining data, literature and models to enable data-driven modelling of brain circuitry in health and disease, in addition to the concurrent construction of atlases, development of analysis approaches and identification of biomarkers to define mental health and brain disorders in a data-driven way, such as aberrant dynamical processes.
Independent Scientist for Whole Brain Modelling
The Independent Scientist for Whole Brain Modelling will build and lead a team responsible for the development of dynamic and perturbable causal models of the human brain, in health and in the context of mental illness, incorporating multi-modal neuroimaging and expression data including, but not limited to, structural, functional, diffusion and spectrometry MRI, PET/CT and EEG. The team will also be responsible for the concurrent construction of atlases, development of analysis approaches and identification of biomarkers to define mental health and brain disorders in a data-driven manner.
Independent Scientist for Brain and Health Knowledge Management
The Independent Scientist for Brain and Health Knowledge Management will build and lead a team responsible for organizing and disseminating data, models and literature related to the definition and treatment of mental health disorders to support both researchers and clinicians. This team will maintain and curate ontologies of brain disorders and link to data, analyses, visualizations, literature and models supporting their definition. This clinical support platform will support reasoning and inference across definitions and datasets to bridge psychiatric and neurological disorders.
Independent Scientist for Whole Person Modelling
The Independent Scientist for Whole Person Modelling will build and lead a team responsible for the development and application of predictive modelling approaches for individual citizen, patient and population trajectories and outcomes. This includes tools, pipelines and approaches for the exploration, visualization and analysis of complex high-dimensional data, with the aim of the data-driven definition of mental health and brain disorders, and the establishment of outcome predictors and identification of optimal intervention opportunities.
Knowledge Engineering Lead
The Krembil Centre for Neuroinformatics is launching a knowledge engineering initiative to structure and map vast quantities of clinical and research data into a unified schema and develop a knowledge graph. This initiative will lay the technical foundation to support supervised and unsupervised content discovery, enable data mining, and facilitate interactive modes of engagement with our data corpus. A new Knowledge Engineering team is being established to spearhead the implementation of this initiative. This is a unique opportunity to partner with world-class researchers in the creation of unprecedented knowledge discovery tools.
Brain Imaging Data Engineer
The Brain Imaging Data Engineer role will be accountable for managing and enhancing the solution for collecting, storing, curating and integrating brain imaging data sets across the organization, including, but not limited to, the following modalities: MRI, PET and EEG. You will work closely with the senior architects on the technology team as well as collaborate with scientific leads. You will be accountable to evolve the technology solution to keep up with industry changes to ensure the solution remains optimal.
Molecular Data Engineer
The Molecular Data Engineer role will be accountable for managing and enhancing the solution for collecting, storing, curating and integrating molecular data sets across the organization. You will work closely with the senior architects on the technology team as well as collaborating with scientific leads. You will be accountable to evolve the technology solution to keep up with industry changes to ensure the solution remains optimal.
Research Data Coordinator
The Research Data Coordinator will work in collaboration with the Knowledge Engineering team to ensure the management of data assets, data lineage and data access, including the consistent application of data models and provenance tracking, data quality and data accuracy across all group delivery initiatives.
Senior Project Manager – BrainHealth Databank
The Senior Project Manager will work with multiple stakeholders both internal and external to CAMH and be responsible for the hands-on leadership and oversight for the development and execution of work plans, accountabilities, and timelines associated with the BrainHealth Databank initiative. The BrainHealth Databank platform will be specifically designed to support multidimensional phenotyping studies that combine digital phenotyping and laboratory-based data across existing and future clinical studies at CAMH. All data will be organized within the knowledge graph of the BrainHealth Databank. The platform will support configuration of studies that integrate common data elements and CRFs, wearable and mobile devices, voice samples, electronic medical record (EMR) extracts, outcome assessments and health care system usage.
For inquiries about applying, please contact Jenna Richard, Administrative Assistant in the Krembil Centre for Neuroinformatics.