Research Associate

Responsibilities

• Lead the development, implementation, and management of methods for federated statistical analysis of electronic health record (EHR) data
• Provide tailored analytical tools for users within the VITAL federated data network
• Collaborate with researchers on various biomedical applications using the federated data network
• Develop analytic plans, conduct analyses, and report results within a federated environment
• Facilitate effective research collaborations and ensure timely delivery of professional research outputs

Requirements

• PhD in statistical sciences, computer sciences, applied mathematics, data sciences, biostatistics, biomedical informatics, or a related specialty
• Minimum of 4 years of experience in the analysis of structured and unstructured EHR data
• Demonstrated expertise in federated statistical inference methods, ideally in the context of EHR
• Proficiency in SQL, Python, and R
• Knowledge of EHR data curation and standardization, including UMLS or OMOP common data models
• Strong publication record in methodological and applied statistics
• Excellent scientific writing and communication skills, with the ability to explain statistical analyses to clinical audiences

Preferred Qualifications

• Experience with natural language processing (NLP)
• Experience with medical image analysis
• Experience working with big data and building data/analytical pipelines

About the Company

The University of Toronto is a world-leading research intensive university. The Data Sciences Institute (DSI) is a specialized research initiative that leverages data science and AI to solve complex societal problems. Through the VITAL initiative, DSI is building a Pan-Canadian foundation for secure, near real-time access to hospital data across Ontario, Alberta, and Quebec.