Summer 2027 Healthcare Analytics Data Science Graduate Intern

Role overview Apply data science and statistical methods to healthcare questions as part of a graduate internship. With guidance from experienced practitioners, you’ll contribute to projects that turn healthcare data into findings and tools for operational decisions, working through steps such as data preparation, analysis, model evaluation, visualization, and reporting.

Responsibilities - Explore and prepare data for analysis, then develop and evaluate statistical or machine learning approaches. - Contribute to projects that may involve forecasting, anomaly detection, provider-pattern analysis, knowledge graphs, or statistical process control. - Build visualizations or interactive tools that help stakeholders understand analytical results. - Document methods and communicate findings, recommendations, or alternatives to colleagues and business partners. - Collaborate on team projects and use reproducible development practices.

Requirements - Hold a bachelor’s degree and be pursuing a graduate degree, full- or part-time, at an accredited college or university. - Be authorized to work in the United States without employer visa sponsorship.

Nice to have - Be pursuing a master’s or doctoral degree in data science, statistics, computer science, applied mathematics, or a related quantitative field. - Have experience using Python for data analysis, statistical analysis, or data science. - Understand core statistical methods such as hypothesis testing and regression, including how to interpret uncertainty. - Have experience with SQL and relational data. - Familiarity with Git, GitLab, or cloud analytics environments may be useful.