Healthcare Data Science R&D Internship — Grad

Highmark Health; Iowa; On-site; USD 28,000 - 41,000; Part time

Job summary

Highmark Health invites applicants for the Summer 2027 Data Science Research & Development Graduate Internship. The program offers hands-on opportunities to apply ML, AI, and software engineering techniques to healthcare challenges using clinical and insurance data.

Interns will work with researchers, data scientists, ML engineers, and software developers across four tracks: Knowledge Graphs, Medical Imaging, Predictive Modeling, and AI Applications.

Qualifications

• Currently pursuing a graduate degree in a relevant field (CS/Info/Data Science).
• Bachelor’s degree required for internship eligibility.
• Strong programming experience in Python is expected.
• Familiarity with data science libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow).
• Proficiency in SQL and relational databases.

Responsibilities

• Communicate effectively with team members and stakeholders.
• Assist in planning and executing research projects within the Data Science track.
• Contribute to model development, evaluation, and documentation.
• Collaborate with researchers, data scientists, ML engineers, and software developers.
• Prepare results for presentation to technical and business audiences.
• Follow HIPAA and privacy guidelines when handling healthcare data.
• Participate in high-impact research initiatives across Knowledge Graphs, Medical Imaging, predictive modeling, and AI applications.

Skills

Python

SQL

Education

Bachelor’s degree

Pursuing a Master’s or Ph.D. in Computer Science/Data Science

Tools

NumPy

Pandas

Scikit-learn

PyTorch

TensorFlow

Job description

Highmark Health invites applicants for the Summer 2027 Data Science Research & Development Graduate Internship. The program offers hands-on opportunities to apply ML, AI, and software engineering techniques to healthcare challenges using clinical and insurance data.

Interns will work with researchers, data scientists, ML engineers, and software developers across four tracks: Knowledge Graphs, Medical Imaging, Predictive Modeling, and AI Applications.