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Added 1 min ago
Financial Advisor (Woodgrove Branch)
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The Financial Advisor provides exceptional customer service to current and potential members by offering a full range of deposit/investments and complex lending services. This role…
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HealthCareersInSask.ca
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- Part-time
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Ability to work as a member of a multi-disciplinary team
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University Health Network

Technical Specialist, Techna (Data Engineer)

190 Elizabeth Street, Toronto, ON, M5G 2C4, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 6, 2026
Working hours: 37.5 Hours Per Week
Positions available: 1
Posting language: English
Posted: Nov 2, 2026

Original job description

Company Description

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.

UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality.

www.uhn.ca

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

Qualifications

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
Strong communication skills and the ability to influence others, including cross-functional teams, to achieve outcomes over outputs
Experience with SQL, Python, Java, Oracle, Mongo, RDF, HL7, FHIR, Javascript, Angular an asset

Additional Information

Why join UHN?

In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN.

Competitive offer packages
Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP https://hoopp.com/)
Close access to Transit and UHN shuttle service
A flexible work environment
Opportunities for development and promotions within a large organization
Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.)

Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration.

All applications must be submitted before the posting close date.

UHN uses email to communicate with selected candidates. Please ensure you check your email regularly. 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. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application.

UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known.

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.

Department: Research

Compensation: CAD 91767 - CAD 137612 - yearly

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More about this job

Responsibilities

You will design, develop, and maintain research data solutions, including ETL pipelines and REDCap integrations to support clinical and research applications. Additionally, you will collaborate with multidisciplinary teams to ensure data quality, security, and compliance while translating research needs into technical specifications.

Requirements

The role requires an undergraduate degree in Computer Science, Health Informatics, or a related field, along with at least five years of relevant experience. Candidates must demonstrate expertise in data management, ETL processes, REDCap, and stakeholder engagement within a clinical or academic research environment.

Skills

Data Engineering
REDCap
ETL
Python
SQL
Data Management
Health Informatics
Data Harmonization
Interoperability
Agile
Stakeholder Management
Clinical Research
Data Modeling
API Integration
Healthcare Data

Benefits

Healthcare of Ontario Pension Plan (HOOPP)
Flexible work environment
Corporate discounts
On-site gyms
Professional development opportunities

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
REDCap
ETL
Python
SQL
Java
Oracle
Mongo
RDF
HL7
FHIR
Javascript
Angular
Health Informatics
Clinical Research
Data Harmonization
Metadata
Agile
Waterfall
REB
Health Canada
Interoperability
Predictive Models
Data Quality
Biomedical Research

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