Knowledge Engineering Lead
Centre for Addiction and Mental Health
Toronto, ON
Job Number: 840593

Category: Research

Positions Available: 1

Years Experience Required: 3

Location: Toronto, Ontario

Posted Date: Jul 15, 2019

EMPLOYMENT OPPORTUNITY

Knowledge Engineering Lead
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 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 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 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. Our ideal candidate will have a proven track record of leading the implementation of data engineering initiatives, a solid understanding of data modeling and schema design, and a record of on-time delivery of technology products. This person should have a passion for innovation and the enthusiasm and ability to plan and realize a long-term strategy. The Knowledge Engineer will be responsible for building and leading a small implementation team that will collaborate with an interdisciplinary group of technologists and neuroscientists to further the knowledge engineering initiative. 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.

Key Accountabilities
Your responsibilities include designing and implementing coordinated and unified schema for multi-modal neuropsychiatric datasets, by:

Collaborating with Krembil Center for Neuroinformatics Scientific leadership to build a strategic and operational roadmap for the Knowledge Graph.
Collaborating with technology leadership, define and implement a data integration plan.
Architecting and implementing a unified schema for existing and future data and tools that are part of the Krembil Center for Neuroinformatics corpus.
Building and leading a small, high performance team to implement the Knowledge Graph roadmap.
Identifying and building working relationships and partnerships with external collaborators, data providers and semantic technology users.
Participating in championing, communicating and maintaining internal and external (collaborative) efforts in data integration and standardization.
Identifying strategic opportunities and partnerships with a focus on open science and technology.
Qualifications

Degree in Computer Science, Mathematics, Bioinformatics or related field.
10+ years of experience implementing data management systems and/or integration of big data from multiple sources.
10+ years of experience with C++, Python, R and/or SQL for data manipulation.
5 years of experience managing a small cross-functional team of analysts and developers.
At least 3-5 years of experience in data management and data or knowledge engineering.
Interest in mental health applications.
Expert industry knowledge of data engineering systems, data models, and data structures.
Strong personnel management, organizational skills and a sense of diplomacy.
Desired

Domain knowledge in biological science preferred (such as neuroscience or other biological system requiring integrated experimental and ontological schema).
Experience implementing data management systems and integration of big data from multiple sources.
Proficiency and proven experience with ontology engineering and semantic technologies.
Excellent written and oral communication skills.
Experience with RDF, OWL, SHACL and SPARQL.
Experience with search technologies (e.g., Elasticsearch), graph databases, graph traversal and NoSQL databases.
Experience with Linux stack (bash, git, package management etc.) and DevOps best-practices.
Bilingualism (French/English) and/or proficiency in a second language would be an asset.
Please note: This full-time, contract (1 year) 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.