The Summer 2027 Healthcare Analytics Data Science Graduate Internship gives graduate students hands-on experience applying data science, statistical modeling, and machine learning to healthcare challenges. The intern will work with data scientists, analysts, and business stakeholders on healthcare analytics initiatives. Projects may involve machine learning, knowledge graphs, time-series forecasting, statistical process control, anomaly detection, and interactive data visualization. Assignments will depend on the intern’s technical background and research interests as well as team priorities, and may include identifying unusual provider patterns, analyzing healthcare data, examining provider information and relationships, developing forecasting solutions, or building tools for stakeholders to explore results. The internship offers experience across the analytics lifecycle, including data exploration and preparation, statistical analysis, model development and evaluation, visualization, technical documentation, and communication of results. Interns will use tools such as Python, SQL, Git, and GitLab, with potential exposure to cloud-based analytics environments. Through mentorship, project-based learning, and collaboration, interns will develop statistical, technical, problem-solving, and communication capabilities while contributing reproducible analytical solutions that support healthcare initiatives. The program provides practical experience and training in the business line, exposure to career opportunities, and preparation for potential positions in the business. Applicants must be independently authorized to work in the United States; visa sponsorship is not offered for this role.
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Job Type
Full-time
Career Level
Intern