GenAI & Data Science Intern (Graduate)

Highmark Health; Town of King (WI); On-site; USD 28,000 - 41,000; Full time

Job summary

Highmark Health is offering the Summer 2027 Applied Gen AI/Data Scientist Graduate Internship in the United States. This program invites graduate students to work at the forefront of Generative AI within healthcare, focusing on LLMs, AI Agents, and related technologies.

You will join the AI Services and Platforms Research & Development Team to design, develop, and evaluate GenAI solutions that support operations, member engagement, clinical workflows, and enterprise productivity.

Qualifications

• Bachelor's degree required.
• Graduate degree (MS/PhD) in progress preferred.

Responsibilities

• Communicate effectively with colleagues, clientele, and other internal or external constituencies in planning assignments and problem resolution.
• Under supervision, provide professional services as appropriate to day-to-day operating objectives; receive guidance and mentoring from senior personnel.
• Undertake and/or participate in projects and programs designed to develop professional skills and expertise.
• Participate in planning and implementation of unit projects and initiatives within area of expertise and ability.
• As requested by management, conduct research and reporting inclusive of recommendations or alternative proposals for action.
• Undertake related studies or enrichment programs as appropriate to the specific objectives of the operating unit.
• Perform miscellaneous job-related duties as assigned.

Skills

Python

Education

Bachelor's degree

Pursuit of graduate degree (Master's or PhD) in progress

Job description

Highmark Health is offering the Summer 2027 Applied Gen AI/Data Scientist Graduate Internship in the United States. This program invites graduate students to work at the forefront of Generative AI within healthcare, focusing on LLMs, AI Agents, and related technologies.

You will join the AI Services and Platforms Research & Development Team to design, develop, and evaluate GenAI solutions that support operations, member engagement, clinical workflows, and enterprise productivity.