Research Associate, Epidemiology, Oncology

The Department of Oncology in the Cumming School of Medicine invites applications for a Research Associate, Epidemiology
. This Full-time Fixed Term position is for approximately1 year (based on length of grant funding), with the possibility of extension.

This position reports to the Principal Investigator and the Research Associate will work within an established research support team that currently includes several MSc-trained epidemiologists and statisticians, database managers and data support specialists, systems analyst, grant administrators and research assistants.

The key purpose of the Research Associate is to conduct epidemiologic research, and assist in securing funding for future research projects under the guidance of the PI. The main task of the Research Associate will be scientific academic writing, though statistical analysis will be included if the selected candidate has these skills. This position requires independent judgement, excellent time management skills, detailed documentation, and strong written and verbal communication skills.

• Conduct systematic literature reviews, evidence synthesis, and critical appraisal activities to support epidemiological research projects and data-driven decision-making
• Provide technical support in the design and implementation of epidemiological studies, including development of study protocols, recruitment materials, data collection tools, and research procedures
• Analyze and interpret epidemiological data and prepare technical reports, manuscripts, abstracts, and presentation materials for dissemination of research findings
• Provide technical and methodological input into research grant applications, including literature reviews, study design, data analysis plans, and feasibility assessments
• Develop, maintain, and validate research databases and datasets to ensure data integrity, quality, and compliance with research protocols
• Conduct data cleaning, quality assurance, verification, and documentation activities in accordance with established research standards and protocols
• Assist with obtaining ethics, operational and/or administrative approvals
• Employ resourceful, innovative, and creative problem solving
• Learn new epidemiologic methods to better address research objectives
• Provide technical guidance and training to research staff, students, and collaborators on epidemiological methods, data management practices, and research procedures.
  
  - Support other research projects by providing knowledge, skills, and on-the-job training to others
• Ensure that supervisor is kept informed of progress of activities and progress of work
• Potentially:
  Undertake data cleaning/verification and thoroughly document data analysis plans, decisions and execution
• Potentially:
  Lead complex epidemiological analyses of health datasets, ensuring accurate and timely delivery of results in accordance with project objectives, methodological standards, and funding requirements

• Master's or PhD degree in Epidemiology
• 3-5 years of related research experience
• Extensive experience interpreting epidemiological research and leading scientific writing
• History of published papers in scientific, peer reviewed journals
• Previous experience in writing successful peer-reviewed grants or scholarships
• Demonstrated communication, organization, innovation and interpersonal skills
• Advanced skills in Microsoft Office applications:
  Excel, Word, and Power Point
• Must be flexible and open to learning and development, and be willing to accept new challenges and assignments
• Knowledge of obtaining, managing, and analyzing quantitative health data using statistical software (Stata, R) will be considered a strong asset
• Experience using large, complex datasets, including administrative health and registry data, will be considered a strong asset
• Experience in the design and conduct of qualitative research studies will be considered a strong asset
• Specialized certification in knowledge translation and implementation science will be considered a strong asset
• Knowledge of Alberta health care system and available databases will be considered a strong asset
• Knowledge of oncology will be considered a strong asset

October 27, 2026

We would like to thank all applicants in advance for submitting their resumes. Please note, only those candidates chosen to continue on through the selection process will be contacted.

this position is part of the AUPE bargaining unit,…