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United States

Internship

Remote

Intern

Texas Oncology is the largest community oncology provider in the country, delivering high-quality cancer care. They are seeking a Remote Data Science Summer Intern to support the Precision Medicine team, assisting with data science tasks and learning about clinical data workflows.

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Responsibilities

Participate in data science meetings and project calls to gain exposure to real‑world analytics, modeling approaches, and clinical data workflows
Learn and apply department procedures, processes, and data standards related to precision medicine, oncology, and healthcare analytics
Assist with organizing, validating, and cleaning datasets used for reporting, research, or exploratory analysis
Help prepare basic summaries, visualizations, or presentation materials to support ongoing projects
Collaborate with data scientists and cross‑functional team members to support project timelines and deliverables
Perform daily administrative and operational tasks as needed to support the team, including tracking requests, updating documentation, and maintaining organized project files
Adhere to data privacy, security, and compliance requirements when handling sensitive clinical or patient‑related data

Qualification

Required

High School Diploma or equivalent required
Must be a rising junior or senior currently enrolled in a bachelor's program in Data Science, Computer Science, Statistics, Mathematics, Bioinformatics, Public Health, or a related field
Strong attention to detail with the ability to follow data standards and documentation requirements
Effective written and verbal communication skills, including the ability to summarize findings or ask clarifying questions
Ability to manage tasks, meet deadlines, and work both independently and collaboratively in a team environment
Interest in healthcare, oncology, or precision medicine and the application of data to clinical or research settings
Understanding of, or willingness to learn, data privacy and compliance principles (e.g., HIPAA‑related awareness)