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Data Science & AI Intern

University of Miami

Miami, FL · HybridFull-time / Temporary / Per DiemSeen 3 days agoSeen in employer's feed 3 days ago

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At a glance

Compensation
No compensation found
Location
Miami, FLHybrid
Role Type
Internship
Schedule
Full-time / Temporary / Per Diem
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Sylvester Data Science and AI Innovations Internship Program provides supervised training for students, trainees, research fellows, and others interested in analyzing and visualizing oncology clinical and research data. The intern supports work across research laboratories and the Survivorship and Supportive Care Institute, including dataset preparation, research analyses, AI-driven tools, and digital health and supportive care applications.

Skills & qualifications

RequiredNice to have

Skills

Learning AgilityTeamworkOffice SoftwareComputer ApplicationsWritten CommunicationVerbal CommunicationAIComputational ApproachesData VisualizationOncologyClinical ResearchPrecision MedicineCancer SurvivorshipDigital HealthLifestyle MedicineBiomedical Data SciencesPythonRSQLJavaScriptStatisticsSoftware DevelopmentGitReproducible WorkflowsSoftware TestingApplication DevelopmentAzureAI Model DevelopmentAI Model TrainingAI Model EvaluationOrganizationTeam Science

Qualifications

High School Diploma or Equivalent1 Year Relevant Experience

Benefits

Medical Insurance
Dental Insurance
Tuition Assistance

Full job description

Hybrid

Miami, FL

Full time

R100102144

Current Employees:

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here (https://www.myworkday.com/umiami/d/task/1422$7248.htmld) to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet (https://my.it.miami.edu/wda/erpsec/tipsheets/ER\_eRecruiting\_ApplyforaJob.pdf) .

The University of Miami/UHealth Department of SCCC department has an exciting opportunity for a Full-Time Data Science & AI Intern to work at the UHealth medical campus in Miami, Florida.

CORE JOB SUMMARY

The Sylvester Data Science and AI Innovations Internship Program provides supervised training opportunities for students, trainees, research fellows, and others interested in developing tools to analyze and visualize clinical and research data in oncology. Daily activities will include processing and analyzing molecular, sociodemographic, psychosocial, patient‑reported, lifestyle, wearable, and other clinical and research data, as well as publicly available population‑ and neighborhood‑level datasets. These activities occur across Sylvester’s research laboratories and the Sylvester Survivorship and Supportive Care Institute. As a Casual Worker, this individual supplies services on an irregular or flexible basis to meet the University’s fluctuating demand for work. Additionally, the Casual Worker assists the assigned department(s) in meeting strict deadlines to advance the institution’s related goals and objectives.

CORE JOB FUNCTIONS

  • 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.

DEPARTMENT SPECIFIC FUNCTIONS

  • 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.

CORE QUALIFICATIONS

Education: High School Diploma or equivalent/relevant experience, certification or license

Experience: Minimum 1 year of relevant experience required

Certification and Licensing: Refer to department description for applicable certification requirements

Knowledge, Skills and Abilities:

  • Learning Agility: Ability to learn new procedures, technologies, and protocols, 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

The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more.

UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for.

The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.

Job Status:

Full time

Employee Type:

Temporary-Intermittent

The mission of the University of Miami is to transform lives through education, research, innovation, and service. A vibrant and diverse academic and healthcare community, the University of Miami and the University of Miami Health System ("UHealth") have rapidly progressed to become one of the nation’s top research universities and academic medical centers in the nation.

The University comprises 12 schools and colleges serving undergraduate and graduate students in more than 350 majors and programs. Visit welcome.miami.edu/about-um to learn more about our points of pride.

The University ranks No. 55 on U.S. News & World Report’s 2022 Best Colleges list and ranked No. 49 in the 2022 Wall Street Journal/Times Higher Education College Rankings.

Bascom Palmer Eye Institute is ranked the #1 eye hospital in the USA and offers some of the nation's premiere eye doctors to treat every eye condition for adults. Sylvester Comprehensive Cancer, part of the Miller School of Medicine, received the prestigious National Cancer Institute designation in 2019.

The University of Miami and UHealth have also ranked among the Forbes Best Employers and Best Employers for Women on several occasions, most recently in 2022.

With more than 17,000 faculty and staff, the University strives for excellence, and is driven by a powerful mission to transform and impact the lives of its students, patients, members of the community, and people across the globe.

The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.

How this job compares

Set against the 517 open Research Intern jobs on Olive Jobs, counted November 4, 2026.

Pay
  • This postingNot listed
  • US median$118–157K/yr71 salary ranges
  • US median$25–44/hr219 hourly ranges
Openings
Olive Jobs lists 517 open Research Intern jobs across the US. Under 1% of them nationwide are listed as remote or flexible.
Hiring the most across the US
Education
This posting asks for a high school diploma; 254 of the 517 open Research Intern jobs (49%) ask for a high school diploma or higher.

Counted across the open, public US postings on Olive Jobs on November 4, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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