Senior Research Associate (Permanent Full-Time)

Veterans Health Administration•Toronto, ON

1d•CA$70,000 - CA$87,000•Hybrid

About The Position

VHA Home HealthCare (VHA) is seeking a Senior Research Associate for a full-time permanent opportunity. This hybrid position involves leveraging quantitative research approaches to lead new discovery and improve quality of care and services in the home care sector. The Senior Research Associate will be a member of VHA’s multidisciplinary research team, working within an embedded research environment to unlock clinical and operational data for real-world research questions relevant to homecare services. The role involves handling and maintaining large, longitudinal, administrative datasets for decision-making and academic publications, leading research projects, and interpreting/applying regression analysis and similar techniques. The individual will contribute to evidence-informed decision-making in the homecare sector and work alongside experts in the field.

Requirements

Obtained a PhD in a relevant field with strong statistical skills and foundational skills for applying artificial intelligence (e.g., biostatistics/epidemiology, engineering, computer science, health informatics, health economics)
At least 6 years of research experience, inclusive of graduate education
Demonstrated methodological and analytical expertise in their area of specialty, with the ability to interpret research findings and demonstrate sound judgment with respect to scientific appropriateness and rigour.
Demonstrated expertise in conducting statistical quantitative analyses in R/RStudio
Interest and knowledge of applying established and emerging quantitative methodologies (e.g., regression, other machine learning analyses, natural language processing) in healthcare research to answer practical questions to help inform policy-making
Strong record of academic productivity
Ability to integrate and understand both qualitative and quantitative approaches
The ability to clearly communicate research findings, including through the generation of compelling visualizations, clear presentations for colleagues and academic audiences, reports, and publications.
Ability to identify, apply and share effective practices in knowledge mobilization such as publications, presentations, discussion forums through diverse channels and evaluating the uptake, use and impact of this knowledge
Ability to communicate effectively and to interact with diplomacy and tact with colleagues, the leadership team, and external partners.
Experience applying for competitive academic project/program funding.
In-depth knowledge of research processes and research ethics, design and methods and managing research grants and projects
Research leadership experience, which may include staff/student mentorship and project management
Analytical, critical thinking and decision-making capabilities, and strong attention to detail.
Results oriented, solution focused and strong problem-solving skills
Ability to work independently with minimal supervision and within a team environment with staff at all levels within the organization
Tact, discretion, and ability to manage confidential sensitive data and information

Nice To Haves

Preference towards experience working with large longitudinal administrative datasets in healthcare research settings

Responsibilities

Utilize large clinical and administrative data sources (pulling from operations, finance, human resources, and other sources) to lead projects which answer research and operational questions relevant to homecare service delivery and policy by applying statistical analyses – including the opportunity to incorporate emerging AI techniques.
Lead manuscript preparation to report research findings to the broader community
Lead and contribute to the cleaning, preparation, and organization of large administrative datasets
Supervise research assistants/associates and students
Identify and act upon additional opportunities for knowledge translation
Contribute to the identification and design of further related research