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Highmark Health's Summer 2027 Applied Gen AI/Data Scientist Graduate Internship offers graduate students hands-on experience at the intersection of AI and healthcare. You will work with GenAI, LLMs, AI Agents, and retrieval-augmented generation to prototype solutions that improve member and clinician experiences.
Under mentors, you will design, develop, and evaluate AI applications, conduct experiments, document findings, and present demonstrations to technical and business audiences, in a
Company: Highmark Health
Applicants must be authorized to work in the U.S. independently. At this time, we do not offer visa sponsorship for this role.
offers an exciting opportunity for graduate students to work at the forefront of Artificial Intelligence innovation within healthcare. This internship is designed for highly motivated individuals who are passionate about applying Generative AI (GenAI), Large Language Models (LLMs), AI Agents, and emerging AI technologies to solve real-world healthcare challenges and improve experiences for members, clinicians, and business stakeholders.
As a member of the AI Services and Platforms Research & Development Team, the intern will contribute to the design, development, and evaluation of innovative Generative AI solutions that support healthcare operations, member engagement, clinical workflows, and enterprise productivity. Working alongside experienced AI researchers, data scientists, machine learning engineers, and software developers, the intern will gain hands‑on experience developing and prototyping cutting‑edge AI applications while exploring novel use cases that advance Highmark's digital transformation and innovation objectives. The program provides practical exposure to the full lifecycle of applied AI development, including prompt engineering, Retrieval-Augmented Generation (RAG), AI Agents, orchestration frameworks, experimentation, model evaluation, and solution delivery. Participants will have opportunities to research emerging technologies, collaborate across technical teams, and contribute to high‑visibility initiatives that demonstrate the business value of Generative AI in healthcare.
Typical responsibilities include developing GenAI-powered applications and prototypes, evaluating and optimizing LLM outputs, researching advanced AI techniques, designing and validating healthcare-focused AI use cases, collaborating with engineering and analytics teams, conducting experiments, documenting findings, and presenting recommendations and demonstrations to technical and business audiences. Through mentorship, innovation‑focused projects, and applied research, interns will strengthen their technical expertise while gaining exposure to enterprise AI strategy and healthcare innovation.
This job has the goal of providing the opportunity to acquire practical experience through direct exposure to the related business line(s) and to develop the next generation of diverse business professionals. To that end, the program will provide hands‑on training and experience in the business line, expose the various career opportunities in the business line and related areas, and prepare participants for positions in the business.
Bachelor's degree. Pursuance 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. Strong programming skills in Python.
Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.
Compliance Requirement: This position adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies. As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy. Furthermore, it is every employee’s responsibility to comply with the company’s Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements.
Pay Range Minimum:Pay Range Maximum:Base pay is determined by a variety of factors including a candidate’s qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets.
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