Research Fellow - Artificial Intelligence; AI in Home and Community Care
Listed on 2025-12-30
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Research/Development
Research Scientist, Clinical Research, Data Scientist, Research Analyst -
Healthcare
Clinical Research, Data Scientist
Position Summary
The SE Research Centre conducts impact-oriented health services research to synthesize, generate, translate, adapt and directly apply scientific evidence in the design, delivery and evaluation of person and family-centered health and social care services.
This 2-year Research Fellowship requires expertise in mixed methods research. The Research Fellow will be primarily responsible for leading the implementation of health services research studies within the SE Research Centre priority research fields using excellent scientific research and project management skills. The Research Fellow will also assist in the development of research proposals and protocols, in collaboration with SE Research Scientists and the Scientific Director.
The Research Fellow will contribute to leadership within the SE Research Centre by providing direct support to Research Associates in their daily work.
- Implement high quality, rigorous, applied health services research study protocols with support from Research Scientists and/or the Scientific Director, including: obtaining research ethics approval, recruitment, data collection, data analysis, and knowledge mobilization activities
- Ensure high quality data collection and analysis in research studies in the SE Research Centre, with support from Research Associates
- Promote all projects within the SE Research Centre research program both internally and externally with other researchers, academic audiences, health and social care specialists/ providers, innovators and business leaders and the public
- Support the development of research study protocols for high quality, rigorous, applied health services research studies in collaboration with Research Scientists and/or the Scientific Director
- Lead development of reports, project summaries, briefing notes, infographics, data visualizations and social media content to support messaging and knowledge mobilization of study results to a wide range of audiences
- Lead writing activities for academic publication with support from Research Scientists and/or the Scientific Director
- Monitor conference opportunities, develop and submit conference abstracts, and support development and execution of presentations in a variety of formats to academic, practitioner and decision-maker audiences
- Support Research Associates on strong project management of scientific research studies including all project documentation
- Lead SE Research Centre team initiatives to improve/ maintain collaboration, efficiency and/or engagement
- PhD (awarded within the last five years) in a relevant discipline, such as Health Services Research, Public Health, Epidemiology, Nursing, Rehabilitation Science, Data Science or a related field, from a recognized university
- Strong background in quantitative research methods, including statistical analysis of observational or administrative data, with demonstrated ability to employ a broader range of data collection and analysis methods
- Demonstrates a strong interest and/or experience in big data analytics, machine learning, and artificial intelligence (AI) applications within healthcare
- Operates effectively both independently and as a collaborative contributor within multidisciplinary teams, navigating complex research environments and competing priorities.
- Solves problems proactively and strategically when executing research protocols.
- Communicates with clarity and precision through exceptional written and verbal skills, with experience producing content for diverse audiences, including academic publication
- Maintains compliance with ethical standards by holding Tri-Council Policy Statement (2):
Ethical Conduct of Research Involving Humans certification - Integrates equity considerations into research through completion of Gender-based Analysis Plus (GBA+) training
- Understands ethical considerations and governance requirements surrounding the use of AI and big data in healthcare settings, particularly in home care or community contexts
- Proficiency…
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