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The purpose of the An Underrepresented, Undervalued Workforce: Understanding and Supporting Quality of Work Life in Long-term Care research project is to build evidence for the Atlantic Canadian long-term care sector to better understand, support and manage the Atlantic LTC workforce. The investigators want to understand how staff work changes their health and wellbeing and how they give residents the best quality of care. This project uses a cross sectional survey design administering the Translating Research in Elder Care (TREC) survey to LTC staff in New Brunswick (NB), Newfoundland & Labrador (NL), Nova Scotia (NS) and Prince Edward Island (PE).Ìý

The project, launched in April 2023, is funded through a Project Grant from the Canadian Institutes of Health Research (CIHR). The project is under the direction of Dr. Janice Keefe, Mount Saint Vincent University, in partnership with Dr. Rick Audas, Memorial University of Newfoundland, Dr. Carole Estabrooks University of Alberta, Dr. Gail Tomblin Murphy, Nova Scotia Health and Dr. Rose McCloskey, University of New Brunswick. Other team members are from Dalhousie University, Memorial University of Newfoundland, University of New Brunswick, University of Calgary, Nova Scotia Health, Nova Scotia Ministry of Health and other policy and practice stakeholders such as: Health PEI Community Health and Seniors Care, PEI Long Term Care Private Operators Association, Nursing Homes of Nova Scotia Association and Shannex Inc. For more information see the project website at .Ìý

The project is seeking applications for 2 - 3 postdoctoral positions available during 2024-2027.Ìý

The scope and length of positions will be based on budget considerations and candidate’s skills and fit with project activities and time line. Potential areas a candidate may contribute include: 

• • working with health administrative data 
• • interpretation and manuscript preparation of findings from quantitative analysis of NB, NL, NS and or PE survey data 
• • knowledge translation activities across the project (e.g., presentations, manuscripts, engagement activities with knowledge users).Ìý

Applicants will have an excellent academic record, training with quantitative statistical techniques and a publication record appropriate for their level of career. The successful applicant will have strong interpersonal and organizational abilities and excellent written and oral communication skills. Research interest in the area of long-term care is an asset. The incumbent will participate fully in research and related scholarly activities, and are expected to work closely and cooperatively with the research team. This position also grants access to the large network of trainees across Atlantic Canada. Applicants with an interest in building quantitative data analytic skills may be eligible for a training program as part of the Consortium on Analytics for Data-Driven Decision Making. .Ìý

Positions may be located at either MSVU, MUN or UNB. Flexibility of location can be further discussed upon application.Ìý

Interested applicants with a strong quantitative background in health, the social sciences, or other relevant disciplines should submit an application consisting of a cover letter and a curriculum vitae to arcltc [at] msvu.ca Nova Scotia Centre on Aging, Mount Saint Vincent University, Halifax NS B3M 2J6. Applications will be received until suitable candidates are found.Ìý