QPSi Training Program Associate

Classification Title:	OPS – Student Assistant
Classification Minimum Requirements:	Current enrollment in a University of Florida undergraduate or graduate program in engineering, computer science, data science, statistics, business, public health, healthcare administration, medicine, nursing, pharmacy, another health profession, or a related field Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint) Strong written and verbal communication skills Ability to manage time effectively and work independently and collaboratively Demonstrated initiative, curiosity, and professionalism
Job Description:	The University of Florida, College of Medicine's Department of Quality and Patient Safety Initiative (QPSi) is seeking five (5) QPSi Training Program Associates. This is a paid, semester-based student role. Trainees contribute to active AI-enabled quality improvement and patient safety projects at UF Health under structured mentorship. Trainees complete defined project work, collaborate with multidisciplinary teams, and present their work at the end of the semester. Learning happens through guided project work, mentorship, iterative feedback, and exposure to operational and strategic decision-making. The role is developmental and suited to students seeking applied experience in healthcare quality, translational implementation, and health system innovation.

Multidisciplinary Collaboration and Systems Exposure

• Collaboration activities depend on the scope and stage of the trainee's project work, which is defined with the primary mentor
• Attend and contribute to project working sessions with clinicians, data scientists, informatics professionals, and operational leaders
• Document implementation considerations for assigned projects, including workflow, governance, and operational constraints, and share them with the project team

Mentorship Engagement and Professional Development

• Meet weekly with the primary QPSi mentor to review progress, set priorities, and discuss feedback
• Complete mid-semester and end-of-semester self-assessments and incorporate mentor feedback into work products
• Participate in program After Action Reviews (AARs) and provide feedback to improve the QPSi Training Program
• Share knowledge and resources with other trainees in the cohort 10% Synthesis and Executive Communication
• Prepare and deliver an end-of-semester presentation at a QPSi All Staff or full QPSi team meeting summarizing project work, findings, and lessons learned
• Write a project summary or handoff document to support QPSi knowledge management and continuity across semesters
• Translate complex technical information into clear materials for multidisciplinary audiences

Program Participation and Continuous Improvement 

• Participate in program After Action Reviews (AARs)
• Provide feedback to improve the QPSi Training Program
• Support cohort collaboration and knowledge sharing

Other duties as needed to support QPSi initiatives and uphold the mission and values of the UF College of Medicine.

Expected Salary:

$18.00 per hour

Required Qualifications:

• Current enrollment in a University of Florida undergraduate or graduate program in engineering, computer science, data science, statistics, business, public health, healthcare administration, medicine, nursing, pharmacy, another health profession, or a related field
• Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint)
• Strong written and verbal communication skills
• Ability to manage time effectively and work independently and collaboratively
• Demonstrated initiative, curiosity, and professionalism

Preferred Qualifications:

• Interest in healthcare quality improvement, AI in healthcare, digital health, or health system innovation
• Experience with research, analytics, interdisciplinary collaboration, or project-based work
• Exposure to data analysis tools or programming languages such as Python, R, SQL, MATLAB, SAS, or JavaScript is beneficial but not required. Experience with analytics platforms (e.g., JMP, Tableau, Power BI), version control systems (e.g., Git), or emerging AI tools is a plus
• Willingness to experiment, learn quickly, and iterate, including learning from failure. Curiosity and growth potential matter more than prior technical mastery

Special Instructions to Applicants:

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

This is a time-limited position.

This requisition will be used to fill multiple positions.

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

Health Assessment Required: No

 

Advertised: 23 Oct 2026 Eastern Daylight Time
Applications close: 06 Nov 2026 Eastern Standard Time

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