Data Science & AI Intern

University of Miami•Miami, FL

1d•Onsite

About The Position

The Sylvester Data Science and AI Innovations Internship Program provides supervised training for students, trainees, research fellows, and others interested in developing tools to analyze and visualize clinical and research data in oncology. The intern will work with molecular, sociodemographic, psychosocial, patient-reported, lifestyle, wearable, and other clinical and research data, as well as publicly available population- and neighborhood-level datasets. Activities take place across Sylvester research laboratories and the Sylvester Survivorship and Supportive Care Institute. The role supports data cleaning, documentation, harmonization, and integration; analytic and technical work linking individual-level data with population-level information; and research into factors that guide cancer care and influence outcomes. The intern also supports development and evaluation of AI-driven algorithms, analytic tools, dashboards, AI-enabled applications, digital health and precision medicine tools, and risk-tailored supportive care interventions. The position includes regular individual and small-group meetings with mentors and program faculty to review pipelines, troubleshoot methods, refine research questions, and clarify expectations. This position is described as a full-time, temporary-intermittent Casual Worker role. Casual Workers provide services on an irregular or flexible basis to meet fluctuating demand and help departments meet deadlines.

Requirements

High school diploma or equivalent/relevant experience, certification, or license.
Minimum one year of relevant experience.
Ability to learn new procedures, technologies, and protocols and adapt to changing priorities and work demands.
Ability to work collaboratively and contribute to a team environment.
Proficiency using office software, technology, and relevant computer applications.
Strong written and verbal communication skills.
Strong organization, communication, and team science skills.
Interest in applying AI and 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.

Nice To Haves

Experience with Git, reproducible workflows, software testing, or application development.
Familiarity with cloud-based development environments such as Azure.
Familiarity with developing, training, and evaluating AI models.

Responsibilities

Perform assigned tasks and projects.
Provide clerical, research, professional, or technical support to the assigned division.
Process and analyze clinical and research data, including molecular, sociodemographic, psychosocial, patient-reported, lifestyle, wearable, and population- and neighborhood-level data.
Support supervised data cleaning, documentation, harmonization, and integration of diverse clinical and research datasets.
Assist with analytic and technical activities linking 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 and influence outcomes.
Support development and evaluation of AI-driven risk algorithms, analytic tools, dashboards, and AI-enabled applications.
Support development and evaluation of digital health, precision medicine, supportive care tools, and software.
Assist in developing and implementing risk-tailored, AI-powered supportive care interventions delivered through eHealth platforms.
Attend 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.
Adhere to company, University, and unit-level policies and procedures and safeguard University assets.
Meet or exceed applicable goals and deadlines, develop relationships with department staff and other parties, and keep supervising staff informed of progress and issues encountered.
Perform other duties or responsibilities as necessary.