Government Health Consulting Informatics Summer Intern - College Program 2027

Company

Mercer

Description

We are seeking talented individuals to join our Government Human Services Consulting (GHSC) team at Marsh People and Investments. Interns will spend their 10-week internship in either Phoenix, AZ, Minneapolis, MN, or Seattle, WA. This is a hybrid role that has a requirement of working at least three days a week in the office. Interns relocating for the summer are eligible for a relocation bonus. Medicaid is a government-sponsored health insurance program in the United States designed to provide healthcare coverage to low-income individuals and families. As a consulting firm specializing in Medicaid, Marsh People and Investments' GHSC team assists state governments in optimizing their Medicaid programs. Our team plays a vital role in managing and analyzing Medicaid claims data to enhance patient access to care, improve cost efficiency, and elevate the quality of services provided to these individuals. As an Intern, you will have the opportunity to collaborate with experienced programmers, actuaries, and clinicians, contributing to meaningful projects that aim to positively impact the lives of individuals and families in need. Join us in making a difference! To learn more about Marsh People and Investments' GHSC practice, please visit www.mercer-government.mercer.com

We will count on you to

Assist in the management and analysis of Medicaid claims data to identify trends and insights that drive improvements in healthcare access and quality. Support the development of analytical models and tools that evaluate cost efficiency and effectiveness of care delivery within the Medicaid program. Collaborate with team members to prepare reports and presentations that communicate findings and recommendations to stakeholders. Participate in projects aimed at helping state governments maximize their Medicaid coverage and budget utilization. Engage in data validation and quality assurance processes to ensure the accuracy and reliability of analy