University of Connecticut - Farmington, CT

posted 18 days ago

Part-time - Intern
Farmington, CT
1,001-5,000 employees
Educational Services

About the position

The University of Connecticut is seeking a temporary Special Payroll Research Assistant to support Dr. Thomas Agresta at UConn Health's Center for Quantitative Medicine. The role focuses on medication reconciliation, utilizing AI and ML technologies to enhance the accuracy and efficiency of this critical process. The assistant will engage in research that aims to predict missing medications, identify dosing errors, and automate workflows related to medication reconciliation.

Responsibilities

  • Assist in medication reconciliation processes by comparing patient medication orders with their current medications.
  • Utilize AI/ML tools to predict missing medications and identify incorrect doses.
  • Automate medication reconciliation workflows through AI-powered tools and assistants.
  • Process unstructured notes to map them to structured fields and correct discrepancies.
  • Organize, analyze, evaluate, and interpret data related to medication reconciliation.

Requirements

  • Bachelor's degree in Biology, Medical Technology, Biochemistry, Psychology, or a related discipline.
  • Basic knowledge of research protocols, scientific techniques, and experimental design.
  • Familiarity with mathematics, statistics, and laboratory equipment.
  • Strong oral and written communication skills.

Nice-to-haves

  • Prior experience in clinical aspects of Medication Reconciliation.
  • Current college student pursuing a PhD in Computer Science and Engineering with a focus on AI/ML.
  • Experience applying ML to structured and unstructured data.
  • Knowledge of Large Language Models (LLMs) and their application in medication reconciliation.

Benefits

  • Hourly rate of $37.00.
  • Flexible work hours of 10 hours per week.
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