OPS Programmer & Data Analyst - College of Nursing

OPS Programmer & Data Analyst

• Current enrollment in an undergraduate program in computer science, data science, statistics, informatics, engineering, or a related field.
• Proficiency in Python, R, SQL, or another programming language used for data management and analysis.
• Familiarity with data cleaning, variable creation, quality checks, and reproducible coding practices.
• Interest in clinical data analysis, biomedical informatics, health services research, or clinical decision support.
• Ability to work responsibly with sensitive health data in a secure computing environment (HiPerGator).
• Strong organizational skills, attention to detail, communication skills, and reliability in team settings.

The Department of Family, Community and Health System Science at the University of Florida College of Nursing is seeking a part-time undergraduate programmer/data analyst to support a research study using structured electronic health record data.

This OPS position offers a unique opportunity to contribute to applied biomedical informatics and health services research focused on hospital discharge planning, post-acute care referrals, and 30-day hospital readmission outcomes. The selected student will work with Dr. Tamara G. R. Macieira to support data processing, algorithm implementation, validation analyses, and preparation of analytic summaries.

This position will have an hourly rate of $26.31

• Current enrollment in an undergraduate program in computer science, data science, statistics, informatics, engineering, or a related field.
• Proficiency in Python, R, SQL, or another programming language used for data management and analysis.
• Familiarity with data cleaning, variable creation, quality checks, and reproducible coding practices.
• Interest in clinical data analysis, biomedical informatics, health services research, or clinical decision support.
• Ability to work responsibly with sensitive health data in a secure computing environment (HiPerGator).
• Strong organizational skills, attention to detail, communication skills, and reliability in team settings.

• Experience working with structured datasets.
• Familiarity with electronic health record data, clinical datasets, or healthcare analytics.
• Experience with statistical comparisons, descriptive analyses, or outcome analyses.

In order to be considered, you must upload your cover letter and resume.

Application must be submitted by 11:55 p.m. (ET) of the posting end date.