Hybrid Data Science & AI Intern: Oncology Analytics

University of Miami; Miami (FL); Hybrid; USD 25,000 - 39,000; Full time

Benefits offered by this job

Medical benefits

Tuition remission

Job summary

The University of Miami offers a Full-Time Data Science & AI Intern position to work with UHealth in Miami, Florida. The program provides supervised training to process and analyze diverse clinical and research data, including genomic, wearable, and patient-reported datasets, across Sylvester laboratories.

You will assist in data cleaning, integration, and development of AI-driven tools and dashboards to support cancer care research and digital health initiatives.

Qualifications

• Learning Agility: ability to learn new procedures, technologies, and adapt to changing priorities and work demands.
• Teamwork: ability to work collaboratively with others and contribute to a team environment.
• Technical Proficiency: skilled in using office software, technology, and relevant computer applications.
• Communication: strong and clear written and verbal communication skills for interacting with colleagues and stakeholders.
• Interest in leveraging AI and other computational and data visualization approaches in oncology, clinical research, precision medicine, cancer survivorship, digital health, lifestyle medicine, and biomedical data sciences.
• Experience or coursework in Python, R, SQL, JavaScript, statistics, data visualization, software development or related tools.
• Strong organization, communication, and team science skills.
• Experience with Git, reproducible workflows, software testing, or application development.
• Familiarity with cloud-based development environments such as Azure
• Familiarity in developing, training, and evaluating AI models

Responsibilities

• Performs assigned tasks and projects.
• Provides clerical, research, professional or technical support to assigned division.
• Adheres to all company policies and procedures.
• Meets or exceeds applicable goals and deadlines.
• Develops relationships with department staff and other parties to carry out job functions.
• Keeps supervising staff members informed of work progress and any issues encountered.
• Adheres to University and unit-level policies and procedures and safeguards University assets.
• This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary.
• Develop foundational knowledge of oncology research with emphasis on sociodemographic, psychosocial, biobehavioral, lifestyle, wearable, patient-reported outcomes, psychosocial and behavioral intervention mechanisms, molecular (e.g., genomic), and digital health data.
• Support supervised data cleaning, documentation, harmonization, and integration of diverse clinical and research datasets.
• Assist with analytic and technical activities that link individual-level clinical, genomics, digital health, and patient-reported outcomes data with sociodemographic, neighborhood, and population-level data.
• Contribute to research examining how clinical, behavioral, social, and population-level factors guide cancer care delivery and influence outcomes across cancer sites and treatment modalities.
• Support the development and evaluation of AI-driven risk algorithms, analytic tools, dashboards, and AI-enabled applications that enhance visualization, interpretation, and use of clinical and research data.
• Support the development and evaluation of digital health, precision medicine, and other supportive care tools and software.
• Assist in developing and implementing risk-tailored, AI-powered adjunctive supportive care interventions delivered through eHealth platforms.
• Participate in regular one-on-one and small-group meetings with mentors and program faculty to review data pipelines, troubleshoot methods, refine research questions, and clarify role expectations.

Skills

Python

R

SQL

JavaScript

Statistics

Data visualization

Git

Azure

AI models

Education

High School Diploma

Tools

Git

Azure

Job description

The University of Miami offers a Full-Time Data Science & AI Intern position to work with UHealth in Miami, Florida. The program provides supervised training to process and analyze diverse clinical and research data, including genomic, wearable, and patient-reported datasets, across Sylvester laboratories.

You will assist in data cleaning, integration, and development of AI-driven tools and dashboards to support cancer care research and digital health initiatives.