Brain and Health Knowledge Management
Krembil Centre for Neuroinformatics
The Krembil Centre for Neuroinformatics is hiring world-leading specialists to transform our understanding of mental health by organizing, integrating, analyzing, visualizing and modeling data across all levels of the brain —from genes to circuits to behaviour. This multimodal data is gathered across the clinical environment including genetic, epigenetic, MRI, DTI, fMRI, hd-EEG, actigraphy and electronic medical record data. Teams will employ state-of-the-art techniques including topological data analysis, machine learning and multiscale computational modeling to accelerate identification and treatment of mental health disorders. Research is performed in an open, team science environment, with an emphasis on reproducible data-driven research and a patient-centric approach. A focus on global collaboration is key to transforming our understanding of mental health and its treatment. The centre will operate as an incubator for medical technologies to identify, manage and treat mental illness, while shaping policy at national and global levels.
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.
You have expertise in clinical and basic neuroscience and biomedical ontologies. You should have an active interest in mental health and the development of systems to enable the categorization and prediction of mental health conditions. You will be responsible for identifying and integrating relevant data, models and literature from around the world and integrating the scientific findings of the centre. You will support a workplace that embraces diversity, encourages teamwork and complies with all applicable regulatory and legislative requirements. This position will be located at 250 College Street, Toronto.
Leading a team of scientists and students your responsibilities include iteratively designing and implementing sophisticated brain atlases and computational dynamical models, by;
- Building and maintaining living web-based documentation of the state-of-the-art knowledge, data, literature and models of mental health.
- Curate and integrate knowledge and data from around the world for dissemination.
- Work with all teams across the centre to understand and integrate their results and findings.
- Contributing to ongoing efforts in computational framework development (simulation and data analysis) as well as to scientific questions relevant to the system under investigation.
- Contributing to adjacent projects related to human pathophysiology and neuropsychiatric disorders.
- Collaborate with software engineers to integrate analyses, visualizations and models with the web-based knowledge dissemination platform.
- Collaborate with the Machine Learning and Data Analytics teams to implement large-scale analytics, clustering, and multidimensional visualizations.
- Collaborate with the Knowledge Engineering and Data Stewardship Teams on identifying data curation and data model requirements to support integration, reasoning and inference.
- Working closely with and incorporating results from a team that is building a knowledge representation and reasoning framework.
- MD and/or PhD degree in Neuroscience, Neurology, Psychiatry, Medical Physics or related field.
- Three (3) years of relevant post-doctoral experience plus two (2) years of independent research and leading teams.
- Strong background in clinical neuroscience, bioinformatics, neuroscience.
- Strong organizational ability and outstanding communication skills.
- Strong interpersonal and collaborative abilities.
- Must obtain an academic appointment with the University of Toronto (appointment must remain active).
- Experience in fostering collaborations between diverse research and clinical groups (both internally and externally).
- Track record that demonstrates competence publishing in high impact peer reviewed journals, obtaining funding from various sources, disseminating research at formal scientific meetings, and participation in the education and supervision of students and trainees.
- Machine learning and text mining expertise
- Expertise in bioinformatics applications or neuroscience
- Familiarity with neuroimaging data models, data structures, data organization and best-practices.
- Knowledge of algorithm, data structure and object-oriented programming skills
- Proficiency in R and/or Python
- Experience in processing and reviewing large amounts of data
- Bilingualism (French/English) and/or proficiency in a second language would be an asset
Please note: This full-time, permanent position is NOT part of any bargaining unit.
Salary range: Competitive salary and benefits package.
CAMH is a Tobacco-Free Organization.
CAMH is fully affiliated with the University of Toronto and is a teaching hospital and research institute. As a CAMH employee you will be expected to actively support CAMH’s teaching and research activities, in addition to supporting the clinical work of the hospital.
As an employment equity employer CAMH actively seeks Aboriginal peoples, visible minorities, women, people with disabilities, (including people with who have experienced mental health and substance use challenges), and additional diverse identities for our workforce.
We thank all applicants for their interest, however, only those selected for an interview will be contacted.If contacted for an interview, please inform us should accommodation be required.