OPS - Undergraduate Student Assistant - College of Nursing

University of Florida•Gainesville, FL

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. The position offers undergraduate students interested in artificial intelligence, data science, biomedical informatics, and advanced computing applications hands-on research experience in a collaborative academic environment. This is a time-limited position.

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.
  • Good communication skills, reliability, and ability to work in multidisciplinary teams.
  • Experience with pandas, NumPy, and data manipulation to transform tabular datasets.
  • Ability to work with large datasets and identify data quality issues, inconsistencies, missing data, and unexpected values.

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 natural language processing techniques and large language models.
  • Identify and resolve data quality issues, including inconsistencies, missing data, and unexpected values.
  • Transform and manage tabular datasets.
  • Work with large datasets in high-performance computing environments such as HiPerGator and NavigatorAI.
  • Collaborate and communicate with interdisciplinary research teams.
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