Research Analyst II

Union: Non-Union
Number of vacancies: 2
New or Replacement Position: Replacement
Site: Toronto General Hospital
Department: Education Technology and Innovation
Reports to: Executive Director Education Technology & Innovation
Salary Range: $32.59 to $48.89 per hour
Hours: 37.5 hours per week
Shifts: Monday to Friday
Status: Temporary Full-Time
Closing Date: January 30 2026

We are seeking a talented and forward-thinking Research Analyst II with experience in conducting applied research and a passion for improving healthcare through technology and education. This role will support a project aiming to design innovative educational programs that empower professionals to responsibly use AI-enabled tools within the Digital Compassion Lab.

Our mission at Digital Compassion Lab is to change healthcare delivery for all by designing and evaluating thoughtful digital technologies that are compassionate and empower people. We work tirelessly with local and international minds from multidisciplinary areas like education design technology informatics and health fields to transform health systems around the globe.

We are looking for a Research Analyst II with an interest in conducting applied research and a passion for improving healthcare through technology and education.

Our mission at Digital Compassion Lab is to change healthcare delivery for all by designing and evaluating thoughtful digital technologies that are compassionate and empower people. We work tirelessly with local and international minds from multidisciplinary areas like education design technology informatics and health fields to transform health systems around the globe.

Embedded within Toronto General Hospital we are a part of one of the largest medical research centres in North America and have unparalleled access to insights from those who use our healthcare system the most - patients and their clinicians. Due to this unique positioning and our vast skill set our work is making an impact right now in the areas of adoption of artificial intelligence knowledge management approaches to promote continuing professional development and compassionate care delivery when using digital technologies.

Duties:
As an integral member of the Digital Compassion Lab Responsible AI Project Team you would provide research support across numerous ongoing studies. Your core responsibilities would include but not limited to:

• Project reporting including tracking as well as communicating study status and risks
• Conducting literature reviews and needs assessments
• Preparing research ethics board documentation and amendments
• Recruiting and consenting study participants to join research projects and supporting them through the study
• Supporting data collection activities including interviewing and facilitating focus groups
• Conducting qualitative analyses both inductive and deductive approaches
• Building and fostering relationships with internal and external stakeholders
• Preparing knowledge translation products including conference presentations and manuscripts for peer-reviewed publication

Qualifications :

• At minimum a Bachelors Degree preferably a Masters Degree in a health-related field (e.g. health sciences public health health informatics psychology health education nursing occupational therapy)
• At minimum 3 years of related experience in a research environment preferably as an integral part of a research team in an analyst or coordinator capacity
• Familiarity with qualitative research methodology and analysis including software use e.g. NVivo
• Proven ability to be resourceful learn quickly change directions and navigate complex decision making in a fast-pace environment
• Demonstrates strong interpersonal skills focused on building relationships and working in a collaborative environment with diverse cross-functional teams
• Demonstrates excellent written and verbal communication including strong presentations skills and attention to detail
• Experience supporting health research projects from initial grant application through to manuscript preparation for publication is preferred
• Familiarity with theories of digital health evaluation IDEAA (inclusivity diversity equity accessibility and anti-racism) and co-design is 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 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 UHNs 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.

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.

Remote Work :

No

Employment Type :

Full-time

Key Skills
Spss,Data Collection,R,Stata,Research Experience,Statistical Software,Data Mining,Calculus,Market Research,Operations Research,SAS,Data Analysis Skills
Experience: years
Vacancy: 1