Healthcare Data Science R&D Intern (Graduate)

Highmark Health; Fulton (MS); On-site; USD 34,000 - 48,000; Full time

Job summary

Highmark Health invites graduate students to join the Summer 2027 Data Science Research & Development Graduate Internship to apply advanced data science, ML, AI, and software engineering to healthcare challenges. The program fosters collaboration with researchers, data scientists, ML engineers, and software developers across clinical and insurance data domains.

Interns will contribute to four research tracks—Knowledge Graphs, Medical Imaging, Predictive Modeling, and AI Applications—while

Qualifications

• Bachelor’s degree.
• Pursuance of a graduate degree full or part-time in an accredited college or university.
• Master's or Ph.D. degree in Computer Science, Biomedical Informatics, Data Science, Electrical Engineering, Applied Mathematics or related quantitative discipline; strong programming in Python; experience with NumPy, Pandas, Scikit-learn, PyTorch, and TensorFlow; proficiency in SQL.

Responsibilities

• Communicate effectively with colleagues and stakeholders on assignments and issues.
• Under supervision, provide professional services to day-to-day objectives and receive mentorship from senior personnel.
• Participate in projects and programs to develop professional skills and expertise.
• Assist in planning and implementing unit projects within area of expertise.
• Conduct research and reporting with recommendations or alternatives for action as requested by management.
• Engage in related studies or enrichment programs aligned with operating unit objectives.
• Perform miscellaneous job-related duties as assigned.

Education

Bachelor’s degree.

Pursuance of a graduate degree full or part-time in an accredited college or university.

Tools

Python

NumPy

Pandas

Scikit-learn

PyTorch

TensorFlow

SQL

Job description

Highmark Health invites graduate students to join the Summer 2027 Data Science Research & Development Graduate Internship to apply advanced data science, ML, AI, and software engineering to healthcare challenges. The program fosters collaboration with researchers, data scientists, ML engineers, and software developers across clinical and insurance data domains.

Interns will contribute to four research tracks—Knowledge Graphs, Medical Imaging, Predictive Modeling, and AI Applications—while