2027 Summer Intern - Epidemiology / Biostatistics

The Internship Program at BCBSM is designed to enhance the skills and abilities of young professionals as well as to identify and attract future talent for our organization. Interns will gain practical hands-on work experience as well as a solid understanding of the health insurance industry.

What You Will Do

Assist in preparing information and research materials to identify business problems, offer recommendations and assist management with implementation of solutions. Support leaders on projects designed to enhance the overall efficiency and effectiveness of the organization.

Why It Might Be a Fit

Develop and maintain a solid understanding of BCBSM business, products, programs, data, organizational structure, controls, research. Analyze business goals, objectives, and needs within the organization.

Requirements

• Current undergraduate or graduate student with a 3.0 GPA or higher required.
• Interns must be enrolled in a college/university or a Master’s/PhD program for the duration of the internship.
• Effective verbal, written communication and interpersonal skills.
• Strong analytical skills with the ability to work independently and as a member of a team.
• Excellent organizational skills to deal with multiple projects and priorities.
• Responsible for maintaining confidential information to the highest degree.
• Proficient in Microsoft Office suites and applicable BCBSM systems.
• Ability to develop and maintain effective working relationships.
• Pursuing a bachelor’s or master/doctorate degree in Epidemiology, Biostatistics, Data Science, Health Informatics or a related field.
• Strong analytical, organizational, planning and problem-solving skills.
• Strong communication skills are required to understand, interpret, and communicate ideas.
• Experience in at least one programming language such as SQL/SAS/Python/R.
• Strong experience and use of existing software packages (Excel, PowerPoint, etc.).
• Experience with data analysis, reporting, and data visualization tools.
• Experience developing and testing machine learning models on large datasets is a plus.