Graduate Data Science & AI Research Intern (Healthcare)

Highmark Health; Clayton (NC); Presencial; USD 18 000 - 28 000; Tempo integral

Resumo da oferta

Highmark Health invites applicants for the Summer 2027 Data Science Research & Development Graduate Internship. The program applies advanced data science, ML, AI, and software engineering to solve clinical and healthcare challenges.

Interns collaborate with researchers, data scientists, ML engineers, and software developers across knowledge graphs, medical imaging, predictive modeling, and AI applications to drive healthcare transformation through analytics and innovative tech.

Qualificações

• Bachelor’s degree in a related field required.
• Pursuit of a graduate degree full or part-time encouraged.
• Strong programming in Python; knowledge of ML libraries preferred.

Responsabilidades

• Communicate effectively with colleagues and stakeholders in planning assignments and addressing day-to-day problems.
• Under supervision, provide professional services aligned with area objectives and receive mentorship from senior staff.
• Participate in projects to develop professional skills and expertise relevant to the organization.
• Contribute to unit projects and initiatives within area of expertise.
• Conduct research and prepare reports with recommendations or proposals as requested by management.
• Engage in related studies or enrichment programs to meet operating unit objectives.
• Perform miscellaneous duties as assigned.

Conhecimentos

Python

NumPy

Pandas

Scikit-learn

PyTorch

TensorFlow

SQL

Formação académica

Bachelor’s degree

Pursuance of a graduate degree full or part-time

Descrição da oferta de emprego

Highmark Health invites applicants for the Summer 2027 Data Science Research & Development Graduate Internship. The program applies advanced data science, ML, AI, and software engineering to solve clinical and healthcare challenges.

Interns collaborate with researchers, data scientists, ML engineers, and software developers across knowledge graphs, medical imaging, predictive modeling, and AI applications to drive healthcare transformation through analytics and innovative tech.