OPS - Undergraduate Student Assistant - College of Nursing

College of Nursing • Gainesville, FL

1d

About The Position

The University of Florida College of Nursing is seeking an undergraduate student assistant to support research and data science initiatives involving natural language processing (NLP), artificial intelligence (AI), and large-scale data analysis. The student will assist with text mining, data preparation, machine learning applications, and analysis of clinical and research datasets in high-performance computing environments such as HiPerGator and NavigatorAI. This time-limited position offers undergraduate students hands-on research experience in artificial intelligence, data science, biomedical informatics, and advanced computing in a collaborative academic environment. The expected salary is $17.00 per hour.

Requirements

• Must be enrolled in an undergraduate computer science program.
• Experience with programming languages such as Python and NLP libraries such as NLTK or spaCy.
• Experience implementing natural language processing techniques.
• Experience working in high-performance computing environments such as HiPerGator and NavigatorAI.
• Ability to text-mine large volumes of documents.
• Experience with pandas, NumPy, and strong data manipulation skills for transforming tabular datasets.
• Ability to work with large datasets and identify data quality issues, inconsistencies, missing data, and unexpected values.
• Good communication skills, reliability, and ability to work in multidisciplinary teams.

Nice To Haves

• Experience working in HiPerGator-RV.
• Experience implementing LLMs and GatorTron for text mining.
• Experience working with clinical, healthcare, or electronic health record (EHR) data.
• Experience using the UF Navigator AI Toolkit, particularly its APIs for integrating LLMs into data-processing or research workflows.

Responsibilities

• Process and analyze large volumes of text data.
• Implement NLP techniques and large language models for text mining.
• Prepare, transform, and manage tabular datasets.
• Identify and resolve data quality issues, including inconsistencies, missing data, and unexpected values.
• Analyze clinical and research datasets in high-performance computing environments.
• Collaborate and communicate with interdisciplinary research teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed