Data Sciences Institute
The Data Sciences Institute (DSI) is a multi-divisional, tri-campus, multidisciplinary hub for data science activity at the University of Toronto (U of T). We facilitate research connections and enhances teaching and learning in data sciences, including in emerging data-driven disciplines with a highly collaborative, inclusive approach.
The Data Sciences Institute,
The University of Toronto
The Data Sciences Institute invites applications for a Research Associate (Limited Term) to support VITAL, a new research project focused on enabling secure, near real-time access to hospital data. The project will lay the foundation for Pan-Canadian data sharing for research and is positioned to become one of the most innovative and valuable health data resources in the world. The Research Associate will contribute, by way of their academic expertise, to the projects directed by the VITAL Principal Investigators. As part of this national initiative, the Data Sciences Institute will develop a suite of methods for federated analysis of electronic health record data.
Any questions regarding this position should be directed to Prof. Jessica Gronsbell at j.gronsbell@utoronto.ca. All materials should be received by the closing date for full consideration.
MINIMUM QUALIFICATIONS:
Education: PhD in statistical sciences, computer sciences, applied mathematics or data sciences, biostatistics, biomedical informatics, or related specialty.
Experience:
- A minimum of 4 years of experience in the analysis of EHR data (structured and unstructured) and collaborative biomedical research
- Demonstrated expertise required in federated statistical inference methods required, ideally in context of EHR
- Proficiency with computing and reproducible research workflows required
- 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 the Unified Medical Language System (UMLS) and the Observational Medical Outcomes Partnership (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
Application Deadline: June 26, 2026
To apply for this job please visit jobs.utoronto.ca.