2026 Summer Internship Analytics (MedInsight)

Company Overview

Leading with our core values of Quality, Integrity, and Opportunity, MedInsight is one of the healthcare industry's most trusted solutions for healthcare intelligence. Our company's purpose is to empower easy, data-driven decision-making on important healthcare questions. MedInsight products, education, and services make an impact on healthcare by helping to drive better outcomes for patients while reducing wasteful services. Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for healthcare cost and care management.

MedInsight is a subsidiary of Milliman; a global employee-owned consultancy providing actuarial consulting, retirement funding and healthcare financing, enterprise risk management and regulatory compliance, data analytics, and business transformation, as well as a range of other consulting and technology solutions.

What we are looking for:

We are seeking four motivated and curious analytical interns, each to fill a specific project role, for our Summer 2026 Internship Program. Each intern will gain hands-on experience working on a single, focused healthcare technology project in one of the areas listed below.

This program offers meaningful mentorship, cross-functional collaboration, and exposure to how data, technology, and products are used to improve healthcare outcomes. Interns will contribute to impactful work while developing technical, analytical, and professional skills in their assigned project area.

What you will do:

Internship Project Tracks

Data Products & Analytics Engineering

The Intern will support the development of reusable, parameter-driven analytics templates using the MedInsight Analytics Toolkit. This work focuses on summarizing healthcare data such as medical claims and enrollment files in a consistent, scalable way.

You may:

• Build configurable analytics workflows using Python and SQL.
• Apply schema mapping and aggregation logic across multiple data sources.
• Validate analytical outputs and document results.
• Create technical documentation and training materials.

Ideal background:

Data Science, Analytics, Computer Science, Statistics, or related quantitative fields

The Intern will support product and engineering initiatives, including EHR-based care gap use cases and enhancements to network optimization functionality.

You may:

• Collaborate with product, engineering, and design teams.
• Translate user needs into product or UX solutions.
• Contribute to testing, validation, and iteration of new features.
• Gain exposure to healthcare product development lifecycles.

Ideal background:

Computer Science, Software Engineering, UX Design, Digital Media, or related fields

Products - Strategic Innovation (AI & Advanced Analytics)

The Intern will assist with AI initiatives focused on anomaly detection using machine learning and statistical models applied to healthcare data.

You may:

• Support development and testing of ML and statistical models.
• Analyze datasets to identify patterns or anomalies.
• Document insights and communicate findings to stakeholders.
• Learn how AI is applied responsibly in healthcare.

Ideal background:

Computer Science, Engineering, Statistics, Data Science, or related fields with AI or ML coursework

Government Programs Analytics & Risk Adjustment

The intern will support the Government Program Payer team by contributing to analytics and product enablement work for the MedInsight and ProData Health risk adjustment platform. This project focuses on improving the end-to-end risk adjustment workflow for Medicare Advantage and Medicaid populations.

You may:

• Support analytics related to clinical and claims data integration.
• Evaluate model outputs and reporting used to identify suspect conditions, documentation gaps, and coding opportunities.
• Analyze risk score impact and decision-support outputs.
• Collaborate with cross-functional stakeholders across products, analytics, and payer-facing teams.
• Gain exposure to real-world government program and payer challenges.

Ideal background:

Health Policy or Health Economics, Data Science, Analytics, Statistics, Applied Mathematics, Computer Science, AI/ML, Engineering, Public Health (MPH with quantitative concentration), Business Analytics, Operations Research, or Economics

Strong interest in:

• Medicare Advantage and Medicaid / Dual-Eligible populations.
• Risk adjustment, predictive analytics, and decision-support models.
• Value-based care and quality measurement.
• Experience working with healthcare, payer, or population health data.

Why Join Us?

• Work on real, impactful healthcare technology projects.
• Learn from experienced professionals through mentorship.
• Gain exposure to analytics, products, and AI applications in healthcare.
• Build skills and connections that support early-career growth.

Location

This role can work remotely anywhere in the US. This job posting is expected to close on February 6, 2026.

Compensation

The hourly range is $19 - $43, depending on relevant factors, including but not limited to education, work experience, qualifications, skills, certifications, location, etc.

Benefits

We offer competitive benefits which include the following based on plan eligibility:

• Employee Assistance Program (EAP) - Confidential support for personal and work-related challenges.
• 401(k) Plan - When an employee reaches 1,000 hours worked within 12 consecutive months, they
  become eligible for a 401(k) plan that includes a company matching program and profit-sharing
  contributions.
• Paid Time Off (PTO) - Begins accruing on the first day of work; Interns, Temporary, and Seasonal
  Employees will earn PTO each pay period, based on 1 hour for every 30 hours worked.
• Transportation - Pre-tax savings for eligible transit and parking expenses.

Equal Opportunity

All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

#LI-SM1