Healthcare Data Science & AI R&D Intern

Highmark Health; Kailua (HI); On-site; USD 28,000 - 41,000; Full time

Job summary

Highmark Health offers a Summer 2027 Data Science Research & Development Graduate Internship, inviting graduate students to apply advanced data science, ML/AI, and software engineering to healthcare challenges.

The internship features four specialized tracks—Knowledge Graphs, Medical Imaging, Predictive Modeling, and AI Applications—with collaboration among researchers, data scientists, engineers, and clinicians to deliver impact on enterprise-scale healthcare data.

Qualifications

• Bachelor’s degree; pursuing graduate degree full or part-time in an accredited college or university.
• Currently pursuing a Master’s or Ph.D. degree in Computer Science, Biomedical Informatics, Data Science, Electrical Engineering, Applied Mathematics, or related quantitative discipline.
• Strong programming experience in Python and modern data science libraries (NumPy, Pandas, Scikit‑learn, PyTorch, TensorFlow).
• Proficiency in SQL and relational database concepts.

Responsibilities

• Collaborate with researchers, data scientists, ML engineers, and software developers to develop analytical solutions.
• Conduct model evaluation and experimentation on healthcare data and communicate findings.
• Assist with design and development across research tracks including knowledge graphs, imaging, and AI applications.
• Participate in planning and implementation of unit projects and initiatives within area of expertise.

Skills

Python programming

NumPy & Pandas

ML frameworks

Education

Bachelor’s degree

Pursuit of graduate degree

Tools

PyTorch

TensorFlow

GraphQL

Job description

Highmark Health offers a Summer 2027 Data Science Research & Development Graduate Internship, inviting graduate students to apply advanced data science, ML/AI, and software engineering to healthcare challenges.

The internship features four specialized tracks—Knowledge Graphs, Medical Imaging, Predictive Modeling, and AI Applications—with collaboration among researchers, data scientists, engineers, and clinicians to deliver impact on enterprise-scale healthcare data.