GenAI & Data Scientist Intern — Healthcare AI Innovator

Highmark Health; Idaho; 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 to graduate students eager to explore Generative AI, LLMs, AI Agents, and AI technologies within healthcare. The intern will work on GenAI-powered applications, evaluation of LLM outputs, and design/validate healthcare AI use cases.

Assigned to the AI Services and Platforms Research & Development Team, you will gain hands-on experience across prompt engineering, RAG, AI orchestration frameworks,

Qualifications

• Bachelor’s degree is required.
• Pursuance of a graduate degree full or part-time in an accredited college or university.
• Preferred: Master’s or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Software Engineering.
• Strong programming skills in Python.

Responsibilities

• Communicate effectively with colleagues, clients, or other stakeholders in planning assignments and resolving daily issues.
• Under supervision, provide professional services aligned with area objectives, with guidance from senior personnel.
• Undertake and/or participate in projects to develop professional skills for the organization.
• Participate in unit projects and initiatives within area of expertise and ability.
• Conduct research and reporting including recommendations or alternative proposals for action.
• Undertake related studies or enrichment programs as appropriate to the operating unit.
• Perform miscellaneous job-related duties as assigned.

Skills

Python

Education

Bachelor’s degree

Pursuit of graduate degree (full or part-time)

Job description

Highmark Health is offering the Summer 2027 Applied Gen AI/Data Scientist Graduate Internship to graduate students eager to explore Generative AI, LLMs, AI Agents, and AI technologies within healthcare. The intern will work on GenAI-powered applications, evaluation of LLM outputs, and design/validate healthcare AI use cases.

Assigned to the AI Services and Platforms Research & Development Team, you will gain hands-on experience across prompt engineering, RAG, AI orchestration frameworks,