Summer 2027 Healthcare Analytics Data Science Graduate Intern

Highmark Health • PA, Working at Home - Pennsylvania, NV

3d

About The Position

The Summer 2027 Healthcare Analytics Data Science Graduate Internship gives graduate students hands-on experience applying advanced data science, statistical modeling, and machine learning to real-world healthcare challenges. Interns work with data scientists, analysts, and business stakeholders on healthcare analytics initiatives that may involve machine learning, knowledge graphs, time-series forecasting, statistical process control, anomaly detection, and interactive data visualization. Assignments 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 with machine learning, exploring provider relationships through knowledge graphs, developing forecasting solutions, or creating tools for stakeholders to explore analytical results.

The internship provides experience across the analytics lifecycle, including data exploration and preparation, statistical analysis, model development and evaluation, visualization, technical documentation, and communicating results. Interns use Python, SQL, Git, and GitLab, and may gain exposure to cloud-based analytics environments. With mentorship, project-based learning, and collaboration with healthcare analytics professionals, interns develop their statistical, technical, problem-solving, and communication capabilities while contributing reproducible analytical solutions.

The program provides practical experience through direct exposure to the related business line, hands-on training, and an introduction to career opportunities in the business line and related areas. It is intended to help prepare participants for positions in the business. Work is performed under supervision, with guidance, training, and mentoring from senior personnel.

Applicants must be independently authorized to work in the United States; visa sponsorship is not offered for this role. Employees must comply with the company’s code of business conduct and policies, including HIPAA privacy requirements and information security guidelines, when handling covered or confidential information.

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, clients, and other internal or external constituencies while 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, following guidance and mentoring from senior personnel.
• Participate in projects and programs designed to develop professional skills and expertise relevant 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 as appropriate to the operating unit’s objectives.
• Perform other related duties as assigned.
• Contribute to healthcare analytics work that may include data preparation, statistical analysis, model development and evaluation, visualization, technical documentation, and communication of results.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern