Technical Specialist, Techna (Data Engineer) at University Health Network (UHN) in Toronto, ON
- Company: University Health Network (UHN)
- Location: Toronto, ON, ca
- Salary: $92K – $138K
- Job type: full time
- Workplace: onsite
- Posted: 2026-11-02
All open roles at University Health Network (UHN)
Job description
Union: Non-Union Number of Vacancies: 1 New or Replacement Position: New Site:  Toronto General Hospital Department: TECHNA Reports to: Project Director Salary Range: $ 91,767 - $137,612 per annum Hours: 37.5 Hours Per Week Shifts: Monday to Friday Status: Permanent Full-Time  Closing Date: November 6, 2026 Position Summary This is a challenging, impactful, and highly collaborative position. 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 actively solve novel problems, make improvements, and troubleshoot independently and with your team. 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. This role requires experience using a range of technologies and frameworks to create innovative healthcare solutions. 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 dynamic team and will learn and adapt rapidly while working in Agile mode. Duties 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 Collaborate with research programs, principal investigators, and other stakeholders in enabling research and optimizing clinical care at UHN and partner organizations 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 manag
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