About The Position

This temporary position will serve as a Antimicrobial Stewardship/Quality Improvement Data Analyst within the department of Medicine, Division of Infectious Diseases. This role supports clinical quality improvement initiatives by designing and evaluating studies, collecting and analyzing data, and applying appropriate statistical methods to assess the impact of interventions. It involves preparing written and oral presentations of project findings for team meetings, conference abstracts, and potential publication. The position provides analytical support across a range of diagnostic stewardship and antimicrobial stewardship related projects. This may include individual level and aggregate analyses of diagnostic test utility, ordering practices, clinical indications, and pseudo experimental study designs such as interrupted time series and difference in differences. Responsibilities include extracting patient level data from the EPIC electronic medical record, maintaining accurate and protocol aligned datasets in systems such as REDCap, and ensuring data quality, completeness, and timely documentation. The role also contributes to broader quality improvement efforts through literature reviews and related tasks, while actively participating in regular team meetings to support ongoing clinical research and program goals.

Requirements

  • Experience with EPIC electronic medical record
  • Experience with REDCap
  • Experience with interrupted time series and difference in differences study designs

Responsibilities

  • Designing and evaluating studies
  • Collecting and analyzing data
  • Applying appropriate statistical methods to assess the impact of interventions
  • Preparing written and oral presentations of project findings for team meetings, conference abstracts, and potential publication
  • Providing analytical support across a range of diagnostic stewardship and antimicrobial stewardship related projects
  • Extracting patient level data from the EPIC electronic medical record
  • Maintaining accurate and protocol aligned datasets in systems such as REDCap
  • Ensuring data quality, completeness, and timely documentation
  • Contributing to broader quality improvement efforts through literature reviews and related tasks
  • Actively participating in regular team meetings to support ongoing clinical research and program goals
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