Research Associate (Term)

University of Toronto; Toronto; On-site; CAD 70,000 - 90,000; Full time

Job summary

The University of Toronto is seeking a Research Associate for a limited term appointment lasting up to 5 years to support the VITAL initiative. The role focuses on developing methods for federated analysis of EHR data across hospitals in Canada, contributing to significant biomedical research.

Applicants should hold a PhD in relevant fields and have a minimum of 4 years of experience in EHR data analysis and collaborative research. Closing date for applications is June 26, 2026.

Qualifications

• 4+ years of experience in EHR data analysis.
• Expertise in federated statistical inference methods.
• Strong publication record in statistics.
• Experience in scientific writing and communication.

Responsibilities

• Lead methods for federated statistical analysis of EHR data.
• Work with researchers on biomedical applications.
• Contribute academic expertise to projects.

Skills

Statistical analysis and study design

SQL

Python

R

EHR data curation

Natural language processing

Medical image analysis

Big data experience

Education

PhD in statistical sciences, computer sciences, or related specialty

Job description

Overview

Founded in 1827, the University of Toronto has evolved into Canada’s leading institution of learning, discovery and knowledge creation. The Data Sciences Institute (DSI) is a highly specialized research initiative that draws on world‑class research expertise across multiple academic divisions, affiliated hospitals, regional, national, and international partners, and commercial organisations. Our mission is to provide the leadership and capacity to catalyse the transformative nature of data sciences across disciplines, leveraging and strengthening U of T’s pre‑eminence in data sciences and AI to solve some of the most complex and pressing problems facing society.

About this Opportunity

We invite applications for a Research Associate (Limited Term) with an up to 5‑year appointment to support VITAL, a new federally funded initiative focused on enabling secure, near real‑time access to hospital data for research and innovation. The VITAL network will include more than 160 hospitals across Ontario, Alberta, and Quebec, serving over 20 million Canadians. The anticipated start date is June 1, 2026.

Responsibilities

• Lead the development, implementation and management of methods for federated statistical analysis of electronic health record (EHR) data and provide tailored tools for users of the federated data network.
• Work closely with researchers on various biomedical applications using the federated data network.
• Contribute academic expertise to projects directed by the VITAL Principal Investigators.

Minimum Qualifications

• PhD in statistical sciences, computer sciences, applied mathematics or data sciences, biostatistics, biomedical informatics, or related specialty.

Experience

• Minimum of 4 years of experience in the analysis of EHR data (structured and unstructured) and collaborative biomedical research.
• Demonstrated expertise in federated statistical inference methods, ideally in the context of EHR.
• Proficiency with computing and reproducible research workflows.
• A strong publication record in methodological and applied statistics.
• Experience in scientific writing and communication.
• Demonstrated capacity to work in both independent and interdisciplinary research settings.

Skills

• Statistical analysis and study design: Developing analytic plans, conducting analyses within a federated data network, and reporting results.
• Programming: SQL, Python, and R.
• Command of EHR data curation and standardization, including familiarity with ontologies such as UMLS and the OMOP common data model.
• Strong strategic, analytical, and problem‑solving skills.
• Strong interpersonal and project‑management skills to facilitate effective research collaborations and timely and professional deliverables.
• Strong written and oral communication skills, with the ability to effectively communicate statistical analyses to clinical audiences.
• Natural language processing experience or knowledge is a plus.
• Medical image analysis is a plus.
• Experience working with big data and building data and analytical pipelines is a plus.

Eligibility and Application

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Closing Date: 06/26/2026, 11:59 PM ET.

Diversity Statement

The University of Toronto embraces diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community. We strongly encourage applications from Indigenous Peoples, Black and racialised persons, women, persons with disabilities, and people of diverse sexual and gender identities.

Accessibility Statement

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). We strive to make our recruitment, assessment, and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities. If you require any accommodations at any point during the application and hiring process, please contact [e-mail].