Data Software Engineer III - Quality and Patient Safety initiative (QPSi)

This Data Software Engineer will be a crucial member of the Quality and Patient Safety initiative (QPSi) at the UF College of Medicine, tasked with developing and maintaining scalable data pipelines, engineering novel features to enhance AI models and extend the scope of the clinical data warehouse, and contributing to the integration of machine learning models to enhance healthcare quality. The role involves collaborating with healthcare professionals, faculty, and data science teams to manage healthcare-related data, ensuring secure, efficient, and scalable data solutions. The Data Software Engineer will be responsible for designing data architectures, automating workflows, and optimizing databases while ensuring compliance with healthcare data regulations. This position requires a high level of technical proficiency in Python (especially with the Pandas python library), experience with system deployment and administration (e.g., Docker, Ansible), database management (SQL/NoSQL), and an understanding of machine learning operations (MLOps).

The UF College of Medicine's Quality and Patient Safety Initiative (QPSi) is dedicated to enhancing patient care quality and safety through innovative research, education, and collaboration. This initiative focuses on implementing evidence-based practices, advancing patient safety initiatives, and fostering a culture of continuous improvement within the College of Medicine. QPSi's mission is to drive excellence in healthcare delivery by integrating clinical expertise, data-driven insights, and cutting-edge technology. The initiative engages healthcare professionals, students, and stakeholders in efforts to elevate patient care standards and outcomes.