UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto.
New or Replacement Position: New
Site: Toronto General Hospital
Reports to: Project Director
Shifts: Monday to Friday
Permanent Full-Time
You will be working as part of the Data Science and Health Informatics Research teams that sit at the intersection of FAIR data management and machine learning and are responsible for developing innovative health data applications and tools. You will be responsible for the technical design, development, and delivery of research data solutions, including REDCap projects and integrations, data management workflows, and extract, transform, and load (ETL) pipelines that bring data from multiple clinical and research sources into analysis-ready form. You will share your expertise with, and mentor, other members of the team, and will be viewed as a go-to resource for complex or ambiguous technical problems.
You will be working with Software Developers, Architects, Business Analysts, Designers, Managers, and research stakeholders to ensure the success of your project portfolio, with a premier focus on correctness, data quality, and innovation. You will work on novel health technologies that help accelerate research, including health data interoperability platforms and integrated predictive models.
You will be working within a energetic team and will learn and adapt rapidly while working in Agile mode.




Design, build, test, and maintain REDCap projects, instruments, data dictionaries, and integrations to support clinical research and multi-site studies
Develop and maintain ETL processes for research and clinical data from multiple source systems, with validation and quality checks at each stage
Oversee research data management activities, including data modelling, curation, harmonization, documentation, quality assurance, and secure access
Translate research and business needs into technical requirements, specifications, and related documentation
Conduct complex projects requiring specialized knowledge, with a mid- to long-term focus, and make well-reasoned decisions on complex or ambiguous issues
Engage and manage stakeholders, including principal investigators, research coordinators, clinicians, and data custodians, to gather requirements, set expectations, and resolve issues early
Communicate and present project progress, risks, and outcomes to stakeholders, tailoring the message to technical and non-technical audiences
Develop and evaluate prototypes, and recommend improvements to system performance and processes
Provide and maintain appropriate security and access controls, and support compliance with privacy, REB, and institutional data requirements
Undergraduate degree, or recognized equivalent, in Computer Science, Health Informatics, Health Science, or a related field
At minimum, five (5) years of relevant experience, with a demonstrated track record of working with minimal supervision on complex projects
Demonstrated experience working with research data in a health, clinical, or academic research environment, including data collection, curation, quality assurance, and secure handling of sensitive data




Demonstrated experience with the REDCap system, including project build, data dictionary design, survey and instrument configuration, user and access management, and API or external system integration
Demonstrated experience in data management, including data modelling, data dictionaries, metadata, data harmonization, and documentation
Demonstrated experience designing, building, and maintaining ETL processes and data pipelines across multiple source systems
Demonstrated experience in stakeholder engagement and management, including working directly with researchers, clinicians, and technical teams to gather requirements, manage expectations, and drive agreement
Experience working directly with highly technical stakeholders, and a proven track record in bringing clarity to a complex domain
Demonstrated experience supporting complex research and clinical environments
Familiarity with data-driven or AI-enabled initiatives in healthcare, and the ability to translate clinical or research needs into data and technology requirements
Working knowledge of regulatory and institutional requirements, including REB, Health Canada, or equivalent, is considered an asset
Experience in project management with familiarity with both Agile and Waterfall methodologies, and the ability to apply them where best suited
Experience with SQL, Python, Java, Oracle, Mongo, RDF, HL7, FHIR, Javascript, Angular an asset

Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP )
Close access to Transit and UHN shuttle service
A flexible work environment
Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.)
All applications must be submitted before the posting close date.
At University Health Network (UHN), artificial intelligence technologies may be used to assist in the screening, assessment, and selection of candidates for this position.
Please be advised that a Criminal Record Check may be required of the successful candidate.

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