Antimicrobial Stewardship/Quality Improvement Data Analyst
University of North Carolina at Chapel Hill$50K–$70K/yri4d ago
Role Snapshot
Temporary data analyst role supporting antimicrobial stewardship and quality improvement initiatives within the Division of Infectious Diseases at UNC Chapel Hill. Designs and evaluates clinical studies, analyzes data using appropriate statistical methods, and communicates findings to support evidence-based interventions.
Key Responsibilities: Extracts patient-level data from EPIC EHR, maintains datasets in REDCap, and performs individual and aggregate analyses on diagnostic stewardship and antimicrobial stewardship projects using methods such as interrupted time series and difference-in-differences designs. Prepares written and oral presentations of findings for team meetings, conference abstracts, and publications while contributing to literature reviews and quality improvement efforts.
Skills & Tools: Proficiency in data extraction from EHR systems, statistical analysis, and data management platforms (REDCap); strong written and oral communication skills for presenting complex findings to clinical teams and academic audiences.
Qualifications: Bachelor's degree in biostatistics, epidemiology, health sciences, or related quantitative field with 1-3 years of experience in clinical data analysis or quality improvement; familiarity with EPIC EHR and statistical software preferred.
Compensation: $50K–$70K/yr (estimated)
Job Description
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.