Independent Scientist

  • Company:
    CAMH
  • Location:
  • Salary:
    negotiable / monthly
  • Job type:
    Full-Time
  • Posted:
    2 weeks ago
  • Category:
    Biotech / Science

Job Number: 825968Category: ResearchPositions Available: 1Years Experience Required: 2Location: Toronto, OntarioPosted Date: Oct 2, 2018EMPLOYMENT OPPORTUNITYIndependent ScientistArtificial IntelligenceKrembil Centre for NeuroinformaticsThe 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.Job Description: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 successful candidate will collaborate 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, electronic medical records, and behavioral data including from mobile apps and wearables from the over 30,000 unique patients seen annually at CAMH as well as information contained in provincial-level healthcare databases. 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. The candidate will be expected to obtain and maintain departmental and graduate school faculty status at the University of Toronto (U of T), and will have the freedom to pursue independent machine learning-based research initiatives. The successful candidate will support a healthy workplace that embraces diversity, encourages teamwork and complies with all applicable standards and regulatory requirements.This position will be located at 250 College Street, Toronto.Key Activities:As the leader of a team of scientists, staff and students your responsibilities include iteratively designing, implementing, and validating machine learning approaches by:Being accountable for the performance reviews and supervision of support staff and support for continuous improvement and development of skills.Managing the procurement and work of contractors and temporary staff on specific projects as the need arises;Providing a work environment that embraces diversity and is free of harassment and discrimination;Soliciting staff views on work conditions and potential changes;Developing the staff team to ensure success of the overall unit;Promoting collaboration and teamwork among staff and management;Participating in discussions at the CAMH BrainHealth Databank council which will bring together data scientists with CAMH clinicians and scientists. The CAMH BrainHealth Databank council will identify CAMH clinical and research issues that could be addressed though machine learning-based approaches, support the use of machine learning techniques, and organize topical meetings on the applications of machine learning in mental health care and research;Supporting and enabling coordinated CAMH application of machine learning approaches, including object recognition, facial analysis, behavioral and sleep classification, natural language processing, and machine learning methods to CAMH’s comprehensive and evolving data science needs;Promoting and maintaining Canadian excellence in deep learning and machine learning, while actively seeking ways to enable and sustain AI-based economic growth in Canada;Pursuing machine learning-based research initiatives in collaboration with colleagues at the Vector Institute and the U of T;Collaborating with U of T to identify and create opportunities for students to learn in a collaborative machine learning-rich environment;Creating a customizable framework to apply machine learning to data captured in the CAMH BrainHealthDatabank, and provincial-level healthcare databases, for further analysis and learning;Facilitating the invention of new machine learning tools, the incorporation of cutting-edge computer science scholarship, and the application of machine learning techniques in mental health care, research and clinical operations;Qualifications:A Ph.D. in Computer Science or an advanced degree in a similar field, and a minimum of two (2) years of related experience, or a combination of education, experience and demonstrated ability that is recognized internally and externally as equivalent;Expertise in machine learning, including but not limited to deep, unsupervised, and reinforcement learning, optimization, topological data analysis, theory; and one or more areas related to applied machine learning, including but not limited to health, medicine, biology, technology development, vision, robotics, and natural language processing;Demonstrated experience in the application of machine learning to a practical domain, and the development of organizational AI/data systems;Must obtain a full faculty 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 in 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;The successful applicant will obtain a scientific appointment as an Independent Scientist and 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). The Independent Scientist will also be self-directed and conduct research activities autonomously under the direction of the, Director or Chair.Desired:Expertise in bioinformatics applications or neuroscience;Healthcare experience preferred, but not necessary;Demonstrated experience with building and deploying concrete ML applications;Experience with topological data analysis techniques;Familiar using unsupervised ML tools (e.g. TDA/Ayasdi), libraries (TensorFlow/Torch/etc), ML automation tools (e.g. DataRobot), and others;Comfortable building a production system using cloud data stores and massive data sets;Knowledge of machine learning theory and algorithms and tricks: RNN, ConvNet, seq2seq, dropout, attention mechanism, data augmentation, batch normalization, adversarial learning, VAE, GAN, etc.;Knowledge of algorithm, data structure and object-oriented programming skills;Proficiency in R and/or Python;Experience in applying machine learning algorithms for natural language processing/generation tasks;Experience with Linux stack (bash, git, package management etc.). 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