Healthcare Data Analyst Intern — Life Sciences Analytics

Milliman; Indianapolis (IN); On-site; USD 20,000 - 27,000; Full time

Benefits offered by this job

Housing stipend

Mentoring program

Lunch & Learn Series

Guest speakers

Job summary

Milliman is seeking a Healthcare Data Analyst Intern (Summer 2027) in Indianapolis to support Life Sciences consulting with data-driven approaches across coding platforms. You will join a multidisciplinary team, receive mentoring, and contribute to analyses, modeling, and clear communication of results.

The program emphasizes problem solving, willingness to learn, and collaboration within a dynamic client-delivery setting, with hands-on opportunities and structured professional development.

Qualifications

• Enthusiastic about working with health-centric data.
• Eager to learn new technologies.
• Strong written and oral communication skills.
• Organizational and time management skills.
• Detail-oriented and capable of carrying out tasks independently.
• Insightful, able to pose good questions.
• Collaborative team player.
• Basic knowledge of Gen AI tools, how to utilize AI to enhance productivity, and potential ethical considerations or concerns.

Responsibilities

• Analyze large, complex health and drug datasets.
• Implement data analysis plans to address project objectives.
• Learn and use coding languages to analyze data and check for reasonability of results.
• Build user-friendly and dynamic Excel models.
• Utilize strong problem-solving skills.
• Effectively communicate data analysis findings to the consulting team (verbally and written).
• Work efficiently in a multi-task environment.
• Work both independently and collaboratively on projects.

Skills

Health data analysis

Written & verbal communication

Problem solving

Time management

Collaboration

Tools

Gen AI tools

Job description

Milliman is seeking a Healthcare Data Analyst Intern (Summer 2027) in Indianapolis to support Life Sciences consulting with data-driven approaches across coding platforms. You will join a multidisciplinary team, receive mentoring, and contribute to analyses, modeling, and clear communication of results.

The program emphasizes problem solving, willingness to learn, and collaboration within a dynamic client-delivery setting, with hands-on opportunities and structured professional development.