Gen AI Data Scientist Intern — Healthcare AI

Highmark Health; Athens (GA); On-site; USD 42,000 - 70,000; Full time

Job summary

Highmark Health is offering the Summer 2027 Applied Gen AI/Data Scientist Graduate Internship. This internship provides hands-on experience developing GenAI-powered solutions within healthcare, working with AI researchers, data scientists, and software engineers to tackle real-world challenges and improve member, clinician, and business stakeholder experiences.

You will gain exposure to prompt engineering, RAG, AI Agents, orchestration frameworks, experiments, model evaluation, and enterprise AI

Qualifications

• Bachelor’s degree in a relevant field.
• Pursuit of a graduate degree full or part-time in an accredited college or university.
• Currently pursuing a Master’s or Ph.D. degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related quantitative discipline.

Responsibilities

• Communicate effectively with colleagues and stakeholders in planning assignments.
• Under supervision, provide professional services as appropriate to day-to-day operating objectives.
• Undertake and/or participate in projects and programs designed to develop professional skills and expertise.
• Participate in the planning and implementation of unit projects and initiatives within area of expertise and ability.
• As specifically requested by management, conducts 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

Master's or Ph.D. in CS/DS/AI/ML/SE

Job description

Highmark Health is offering the Summer 2027 Applied Gen AI/Data Scientist Graduate Internship. This internship provides hands-on experience developing GenAI-powered solutions within healthcare, working with AI researchers, data scientists, and software engineers to tackle real-world challenges and improve member, clinician, and business stakeholder experiences.

You will gain exposure to prompt engineering, RAG, AI Agents, orchestration frameworks, experiments, model evaluation, and enterprise AI