Student Assistant Data Science Technician

Overview

On Site
USD 20.00 per hour
Full Time

Skills

Computer Science
Healthcare Information Technology
Data Science
Art
Workflow
Knowledge Sharing
Python
R
Machine Learning (ML)
Deep Learning
PyTorch
Transformer
Language Models
Research
Natural Language Processing
Prompt Engineering
Health Care
Health Informatics
Biomedicine
Writing
Facebook
LinkedIn

Job Details

Student Assistant Data Science Technician

Job no: 536564
Work type: Student Ast
Location: Main Campus (Gainesville, FL)
Categories: Computer Science, Allied Health, Information Technology
Department:29051308 - MD-MED QUANTITATIVE HEALTH

Classification Title:
Student Assistant Data Science Technician

Classification Minimum Requirements:
University of Florida Student

Job Description:
  • Harmonize and integrate structured and unstructured clinical data
  • Develop and validate state of the art and explainable predictive deep learning models
  • Develop computable phenotypes through NLP
  • Document technical workflows and contribute to team knowledge sharing

Expected Salary:
$20/hr

Required Qualifications:
  • Proficient in Python programming; knowledge of R is a plus.
  • Understanding of machine learning and deep learning concepts, with proficiency in using the PyTorch framework.
  • Strong understanding of NLP and transformer-based language models (e.g., LLaMA).
  • Knowledge of LLM prompting techniques.
  • Ability to work independently and collaboratively in a fast-paced, research-driven environment.

Preferred:
  • Hands-on experience with NLP.
  • Experience developing prompt engineering strategies for LLM-based applications.
  • Background in healthcare, clinical informatics, or biomedical data applications.
  • Familiarity with federated learning techniques.
  • Ability to plan, organize, and coordinate work assignments.
  • Ability to communicate effectively, both verbally and in writing.

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

Health Assessment Required:No

Advertised: 24 Jul 2025 Eastern Daylight Time
Applications close: 10 Aug 2025 Eastern Daylight Time

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