About The Position

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.

Requirements

  • Bachelor’s degree.
  • Pursuing a graduate degree, full-time or part-time, at an accredited college or university.
  • Must be independently authorized to work in the United States; visa sponsorship is not offered.

Nice To Haves

  • Currently pursuing a master’s or doctoral degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related quantitative field.
  • Experience using Python for data analysis, statistical analysis, or data science applications.
  • Foundational knowledge of statistics, including hypothesis testing, regression, and interpretation of statistical uncertainty.
  • Experience with SQL and relational data concepts.

Responsibilities

  • Communicate effectively with colleagues, clientele, and other internal or external constituencies when planning assignments and resolving day-to-day operational problems.
  • Provide professional services under supervision in support of the area’s day-to-day operating objectives, receiving guidance, training, and mentoring from senior personnel.
  • Participate in projects and programs designed to develop professional skills and expertise appropriate to organizational needs.
  • Participate in planning and implementing unit projects and initiatives within the intern’s area of expertise and ability.
  • Conduct research and prepare reports, including recommendations or alternative proposals for action, when requested by management.
  • Undertake related studies or enrichment programs appropriate to the operating unit’s objectives.
  • Perform miscellaneous job-related duties as assigned.
  • Contribute to analytics work that may include data exploration and preparation, statistical analysis, model development and evaluation, visualization, technical documentation, and communication of results.
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