Research Associate, Epidemiology, Oncology

Description  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.
Summary of

Key Responsibilities   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
Qualifications / 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
Final date to receive applications  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…