Summer 2027 Data Science R&D Graduate Intern

Highmark Health•Carolina, PA

About The Position

The Summer 2027 Data Science Research & Development (DSRD) Graduate Internship gives graduate students practical experience applying data science, machine learning, artificial intelligence, and software engineering to clinical and healthcare challenges. Interns work with researchers, data scientists, machine learning engineers, and software developers on research initiatives involving clinical, medical, and healthcare insurance data. Work may include advanced analytics, predictive modeling, artificial intelligence, graph technologies, computer vision, and generative AI. The internship offers four research tracks: Knowledge Graphs, including healthcare data models, GraphQL interfaces, Graph Neural Networks, and GraphRAG; Medical Imaging, including image-processing pipelines and computer vision for clinical image analysis, anatomical segmentation, and pathology classification; Predictive Modeling, including healthcare risk, disease progression, and patient outcome models with attention to explainability and fairness; and AI Applications, including AI agent frameworks, natural language processing, prompt engineering, and clinical information extraction using generative AI. Participants contribute to research projects, help design and develop analytical solutions, conduct model evaluation and experimentation, and communicate findings to technical and business audiences. The program provides hands-on training, exposure to career opportunities, and mentorship while interns develop professional skills and expertise. Work is performed under supervision, with guidance and mentoring from senior personnel.

Requirements

Bachelor’s degree.
Pursuing a graduate degree, full- or part-time, at an accredited college or university.
Must be independently authorized to work in the United States; visa sponsorship is not offered for this role.

Nice To Haves

Currently pursuing a Master’s or Ph.D. in Computer Science, Biomedical Informatics, Data Science, Electrical Engineering, Applied Mathematics, or a related quantitative discipline.
Strong programming experience in Python.
Experience with modern data science libraries such as NumPy, Pandas, Scikit-learn, PyTorch, and/or TensorFlow.
Proficiency in SQL and relational database concepts.

Responsibilities

Collaborate with multidisciplinary colleagues on research initiatives using clinical, medical, and healthcare insurance data.
Design and develop analytical solutions for healthcare research and operational challenges.
Conduct model evaluation and experimentation.
Communicate findings to technical and business audiences.
Participate in projects and programs that develop professional skills and expertise.
Participate in planning and implementing unit projects and initiatives within the intern’s area of expertise and ability.
Conduct research and reporting, including recommendations or alternative proposals, when requested by management.
Undertake related studies or enrichment programs appropriate to the operating unit’s objectives.
Perform related duties as assigned.
Follow company ethical, legal, privacy, and information-security requirements, including HIPAA and the company’s Code of Business Conduct.