Systematic Review of the Cost-Effectiveness of Task Shifting Healthcare Professionals to Detect and Manage Cardiovascular Diseases in Low- and Middle-Income Countries (LMICs)
We are seeking a motivated and detail-oriented Research Assistant (RA) to support a systematic review and meta-analysis focused on the cost-effectiveness of task shifting and training healthcare professionals to detect and manage cardiovascular diseases in low- and middle-income countries (LMICs). This project aims to evaluate economic and clinical outcomes associated with task-shifting strategies, identify evidence-based practices that address resource gaps and improve cardiovascular care in LMIC settings.
The Tobin RA will work closely with faculty investigators to:
Follow a previously developed systematic review protocol;
Finalize outstanding literature searches and screen remaining articles for inclusion;
Extract, organize, and clean data from eligible studies;
Assist in synthesizing findings, including meta-analyses and qualitative summaries;
Produce descriptive statistics and tables summarizing key results;
Contribute to drafting manuscripts for publication;
Track search strategies, manage citations using reference management software, and support project management.
This role provides a unique opportunit to gain experience in global health research, systematic reviews, and cost-effectiveness analysis while contributing to impactful work in cardiovascular disease management.
Requisite Skills and Qualifications:
Required:
Timely communication and follow-through with deadlines
An understanding of cost and cost-effectiveness analyses in health care
Strong organizational skills and attention to detail
Ability to conduct literature reviews and synthesize findings concisely
Proficiency in reference management tools (e.g., EndNote, Zotero, or Mendeley)
Strong written and verbal interpersonal / communication skills
Desired:
Prior experience with (or willingness to learn about) systematic reviews / meta analyses
Experience with data analysis software such as Stata, R, or Python.
Prior experience in data cleaning and management.
Knowledge of academic writing and publication standards.
Interest in global health, economics, or cardiovascular disease management.
Self-motivation and ability to work independently while collaborating with a research team.