OPS - Undergraduate Student Assistant - College of Nursing

University of Florida College of Nursing; Florida; On-site; USD 19,000 - 28,000; Part time

Job summary

The University of Florida College of Nursing is seeking an OPS-Undergraduate Student Assistant to support research and data science initiatives involving NLP, AI, and large-scale data analysis. The role involves text mining, data preparation, machine learning applications, and analyzing datasets in high-performance computing environments such as HiPerGator and NavigatorAI.

Ideal candidates are enrolled in an undergraduate CS program with Python and NLP library experience (NLTK, SpaCy), pandas

Qualifications

• Enrolled in an undergraduate computer science program.
• Experience with Python and NLP libraries (NLTK, SpaCy).
• Experience with text mining, data preparation, and ML applications.

Responsibilities

• Enrolled in an undergraduate computer science program.
• Experience in programming languages, like Python, and NLP libraries (e.g., NLTK, Spacy)
• Experience in implementing natural language processing techniques
• Experience in working in hyper-performing computer environment (e.g., HiPerGator & NavigatorAI)
• Able to text mine large volume of documents
• Good communication skills, reliable, and able to work in multidisciplinary teams
• Experience working with pandas, NumPy, and strong data manipulation skills in transforming tabular datasets.
• Able to work with large datasets and identify data quality issues, inconsistencies, missing data, and unexpected values.

Skills

Python

NLP concepts

Data manipulation

Education

Undergraduate Computer Science

Tools

pandas

NumPy

NLTK

SpaCy

GatorTron

UF Navigator AI Toolkit

HiPerGator

Job description

OPS - Undergraduate Student Assistant - College of Nursing.

The University of Florida College of Nursing is seeking a motivated OPS-Undergraduate Student Assistant to support research and data science initiatives involving natural language processing (NLP), artificial intelligence (AI), and large-scale data analysis. The selected student will assist with text mining, data preparation, machine learning applications, and the analysis of clinical and research datasets in high-performance computing environments such as HiPerGator and NavigatorAI.

Responsibilities may include processing and analyzing large volumes of text data, implementing NLP techniques and large language models (LLMs), identifying and resolving data quality issues, transforming and managing tabular datasets, and collaborating with interdisciplinary research teams. The ideal candidate will have experience with Python, pandas, NumPy, NLP libraries, and data-driven research methodologies. Experience with healthcare data, electronic health records (EHRs), GatorTron, and the UF Navigator AI Toolkit is highly desirable.

This position offers an excellent opportunity for undergraduate students interested in artificial intelligence, data science, biomedical informatics, and advanced computing applications to gain hands-on research experience in a collaborative academic environment.

Duties Include

• Enrolled in an undergraduate computer science program
• Experience in programming languages, like Python, and NLP libraries (e.g., NLTK, Spacy)
• Experience in implementing natural language processing techniques
• Experience in working in hyper-performing computer environment (e.g., HiPerGator & NavigatorAI)
• Able to text mine large volume of documents
• Good communication skills, reliable, and able to work in multidisciplinary teams
• Experience working with pandas, NumPy, and strong data manipulation skills in transforming tabular datasets.
• Able to work with large datasets and identify data quality issues, inconsistencies, missing data, and unexpected values.

Expected Salary

$17.00 hourly

Required Qualifications

Enrolled in an undergraduate computer science program.

Preferred

• Experience in working in HiPerGator-RV
• Experience in 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.

Health Assessment Required

No