The Krembil Centre for Neuroinformatics at CAMH is hiring world-leading research scientists to transform our understanding of mental health by organizing, integrating, analyzing, visualizing and modelling 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 (EMR) data.
Teams employ state-of-the-art techniques, including topological data analysis, machine learning and multiscale computational modeling to accelerate the identification and treatment of mental health disorders. Research is performed in an open, team science environment, with a focus on global collaboration and an emphasis on reproducible data-driven research and a patient-centric approach. The Centre operates as an incubator for medical technologies to identify, manage and treat mental illness, while shaping policy at national and global levels.
As an Independent Scientist for Artificial Intelligence, you will build and lead a team to develop machine learning techniques that contribute to data-driven definitions of mental health and brain disorders. Your team at the Krembil Centre will integrate machine learning, predictive models and decision support research into CAMH, and collaborate with clinical and research scientists on early identification of mental health issues to improve care, clinical outcomes and patient engagement.
In this key role you will work collaboratively with the Data and Knowledge Engineering teams who develop and maintain the BrainHealth Databank, a semantic data lake and knowledge graph that integrates multiscale and multimodal data, including genomics, epigenetics, blood markers, structural and functional brain imaging, EEG, EMRs, and behavioural data obtained from the 30,000+ patients seen annually at CAMH, plus information contained in provincial-level healthcare databases.
As an Independent Scientist for AI, you will be cross-appointed as a Vector Institute faculty member and also maintain departmental and graduate school faculty status at the University of Toronto (U of T). Candidates should have a PhD in Computer Science or a similar field, and 3+ years of related experience, or an equivalent combination of education, experience and demonstrated ability. This will include demonstrated experience in the application of machine learning to a practical domain, in the development of organizational AI/data systems, and in fostering collaborations between diverse research and clinical groups (both internally and externally). Your track record will also demonstrate competence in publishing in high-impact peer-reviewed journals, obtaining funding from various sources, disseminating research at formal scientific meetings, and participating in the education and supervision of students and trainees.
As an Independent Scientist, you will be expected to comply with all associated responsibilities as set out in the CAMH Scientific Appointment Policy (i.e. complete research training, obtain a portfolio of external funding, publish in high-impact peer-reviewed journals, and supervise CAMH staff and/or students). In addition, you will be self-directed and conduct research activities autonomously under the direction of the Scientific Director.
A competitive salary and benefits package is offered for this full-time, permanent position. To be considered for this pivotal research leadership role, submit your application to Phelpsgroup at email@example.com, specifying Independent Scientist, Artificial Intelligence in the subject line.
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 who have experienced mental health and substance use challenges), and additional diverse identities for our workforce.
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Posting end date: 2019/05/22