Job Description

The Centre for Youth Bipolar Disorder (CYBD) is a clinical research program focused on intervention studies, observational studies, biological studies, and knowledge translation relevant to youth bipolar disorder. A core theme of CYBD is the link between heart health and brain health in youth. CYBD is partnering with the Krembil Centre for Neuroinformatics (KCNI) at CAMH, which seeks 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 behavior. The KCNI plays a lead role in the BrainHealth Databank, an institution-wide collaborative project to collect, coordinate and return high-quality data for re-use by researchers to advance discoveries in mental health.

The successful candidate will support the data needs of CYBD to work with research stakeholders at KCNI, across CAMH, and nationally/internationally to ensure the effective management of data assets, data lineage and data access. You have expertise coordinating end-to-end data research flows, applying data structures and provenance to ensure long-term data reusability for analysis. You are experienced creating 'data cuts'/'data marts' and developing data visualizations (e.g. dashboards). An ideal candidate has an active interest in mental health and has worked with health care data including exposure to genomic, structural and functional brain imaging, medical records, blood biomarkers, and other data sources.

Key Accountabilities

Working with the knowledge engineering team, your responsibilities include the management, integrity and maintenance of research data and alignment with the data warehouse and semantic ontologies by;

• Coordinating data and material transfer agreements with participating cites.
• Curating a repository of neuroimaging data from participating sites, and conducting quality control.
• Managing data assets, data lineage and data access, supporting sound data analysis.
• Ensuring consistent application of data models and provenance tracking, including data quality and data accuracy across all group delivery initiatives.
• Create visualizations and dashboards for CYBD projects (Tableau).
• Accountability for the performance, quality, and alignment to requirements for all data query design and development.
• Supporting test data management and masking strategies and the creation of a reusable test data repository.
• Ensuring data anonymization strategies are applied, where appropriate, within the data warehouse.
• Support data science initiatives, including AI and Digital Health.
• Perform exploratory analysis on core data assets to identify trends.
• Working with the KCNI Knowledge Engineering lead to apply and refine data models.

Performance Measurement

• Report regularly on research data structures, integrity and quality.
• Define and report benchmarks and standards among peer organizations.
• Ensure the standards for data organization and quality are communicated to staff, researchers and external stakeholders, including appropriate training.
• Ensure development and use of appropriate mechanisms to measure and evaluate performance, processes, and outcomes related to data curation and management.
• Promote compliance with relevant legislation and regulations governing management of medical research data, including ethics, quality and safety.
• Ensure achievement of targets and desired outcomes and adherence to organizations data principles and guidelines.
• Monitor and analyze research data management and curation trends and emerging issues.
• Provide functional support and advice for the development and implementation of best practice.
• Establish and maintain strong relationships with internal and external stakeholders.

Qualifications

• Degree in Computer Science, Bioinformatics, Neuroscience, Information Science, or related scientific field.
• 3+ years of experience providing data architecture or engineering function.
• 3+ years of hands-on data experience, with demonstrated increase of responsibilities over time.
• 3+ years of experience working in an active research environment, ideally, including a combination of direct research experience and experience in data management, technology setting.
• Strong programming experience with Python.
• Experience working with medical imaging, molecular and clinical datasets.
• Strong knowledge of data management across the research lifecycle, including creating, processing, analysis, preservation, access, and reuse of research data.
• Strong knowledge of data engineering systems, data models, and data structures.
• Expertise working with versioning control systems, package management software and software development life cycles.
• Exposure to graph databases, data models and semantic schema development.
• Exposure to SPARQL and Elasticsearch queries.
• Experience with creating data flows (Hadoop nifi).
• Experience developing dashboards and interactive visualizations (Tableau/Spotfire).
• Experience creating and maintaining metadata and applying best practices to managed content.
• Solid understanding of key DBMS platforms like SQL Server, Oracle and DB2, including technical expertise in data architecture principles and design aspects of various DBMS and reporting concepts.
• Excellent organizational skills with high attention to detail and determined attitude towards ensuring accuracy and integrity.
• Excellent problem-solving and critical-thinking skills; balancing strategic alignment with technology roadmap and emerging industry trends with practical delivery.
• Excellent written and verbal communication skills.
• Ability to work effectively with research faculty, students, and staff in a team environment.
• Exposure to mental health and addictions research.
• Experience co-ordinating research study data, including multi-site investigations.
• Experience processing and reviewing large amounts of data.
• Experience creating visualizations and dashboards.
• Application of unit testing and systems automation.
• Understanding and practice of matching/merging datasets.

Vaccines (COVID-19 and others) are a requirement of the job unless you have an exemption on a medical ground pursuant to the Ontario Human Rights Code.

Please Note: This full-time, contract position is part of the OPSEU Bargaining Unit.

Salary Range: $38.21 - $51.54 per hour

Please click the apply button below.

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.

At CAMH, we strive to be an equitable and inclusive employer. Our commitment to equity is grounded in an institution-wide commitment to achieving a working, teaching, and learning environment that is free of discrimination and harassment.

CAMH actively seeks candidates from First Nations, Metis and Inuit, racialized and LGBTQ2S+ communities, women, and people with disabilities (including people who have experienced mental health and substance use challenges).

We encourage people from all backgrounds to apply to our positions.
We thank all applicants for their interest, however, only those selected for an interview will be contacted. Please inform us if you require accommodations during the interview process.

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