Oncology Data Science & AI Internship

University of Miami; Miami (FL); On-site; USD 25,000 - 36,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Tuition remission

Job summary

The University of Miami is seeking a Full-Time Data Science & AI Intern to work at the UHealth medical campus in Miami, FL. This internship provides supervised training in processing and analyzing diverse clinical and research datasets, with a focus on oncology data, wearable and patient-reported outcomes, and AI-driven analytics.

You will support data cleaning, integration, visualization, and the development of AI-powered tools under supervision, collaborating with mentors across Sylvester’s

Qualifications

• Learning agility to adopt new procedures, technologies, and protocols
• Experience with AI, data visualization, and clinical research data is a plus
• Strong written and verbal communication skills for collaboration with stakeholders

Responsibilities

• Assist with data cleaning, documentation, harmonization, and integration of diverse clinical and research datasets
• Support analytics linking clinical Genomics, digital health, and patient-reported outcomes data with sociodemographic data
• Contribute to AI-driven risk algorithms, analytic tools, dashboards, and AI-enabled applications
• Help develop digital health and precision medicine tools and software
• Participate in regular mentor meetings to review data pipelines and refine research questions

Skills

Python

R

SQL

JavaScript

Statistics

Data Visualization

Software Development

Education

High School Diploma or equivalent

Tools

Git

Azure

Job description

The University of Miami is seeking a Full-Time Data Science & AI Intern to work at the UHealth medical campus in Miami, FL. This internship provides supervised training in processing and analyzing diverse clinical and research datasets, with a focus on oncology data, wearable and patient-reported outcomes, and AI-driven analytics.

You will support data cleaning, integration, visualization, and the development of AI-powered tools under supervision, collaborating with mentors across Sylvester’s