Graduate Data Science & AI R&D Intern

Highmark Health; Kansas City (MO); On-site; USD 28,000 - 41,000; Full time

Job summary

Highmark Health invites graduate students to join the Summer 2027 Data Science Research & Development (DSRD) Graduate Internship. You will apply advanced data science, ML, AI, and software engineering techniques to address clinical and healthcare challenges and contribute to innovative solutions across the healthcare industry.

As part of a multidisciplinary team, you will work on knowledge graphs, medical imaging, predictive modeling, and AI applications while gaining hands-on experience with

Qualifications

• 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, Biomedical Informatics, Data Science, Electrical Engineering, Applied Mathematics, or a related quantitative discipline.
• Strong programming experience in Python.
• Experience utilizing modern data science libraries such as NumPy, Pandas, Scikit‑learn, PyTorch, and/or TensorFlow.
• Proficiency in SQL and relational database concepts.

Responsibilities

• Communicate effectively with team members and stakeholders.
• Collaborate on multidisciplinary research projects leveraging healthcare data.
• Develop, evaluate, and communicate ML models for clinical insights.
• Implement data pipelines and experiments to drive reproducibility.
• Contribute to research publications and presentations.

Skills

Python

NumPy

Pandas

Scikit-learn

PyTorch

TensorFlow

SQL

Education

Bachelor’s degree

Graduate degree (full/part-time)

Master’s or Ph.D. in CS/BI/DS/EE/Applied Math

Job description

Highmark Health invites graduate students to join the Summer 2027 Data Science Research & Development (DSRD) Graduate Internship. You will apply advanced data science, ML, AI, and software engineering techniques to address clinical and healthcare challenges and contribute to innovative solutions across the healthcare industry.

As part of a multidisciplinary team, you will work on knowledge graphs, medical imaging, predictive modeling, and AI applications while gaining hands-on experience with