Healthcare Data Science R&D Intern (Graduate)

Highmark Health; Hydaburg (AK); Presencial; USD 34 000 - 55 000; Tempo integral

Resumo da oferta

Highmark Health in the United States is offering the Summer 2027 Data Science Research & Development (DSRD) Graduate Internship, inviting graduate students to apply advanced data science, ML, AI, and software engineering to healthcare challenges.

As a member of the DSRD team, interns collaborate with researchers, data scientists, ML engineers, and software developers to build solutions using clinical, medical, and insurance data, spanning NLP, graph tech, vision, and generative AI.

Qualificações

• Bachelor’s degree.
• Pursuance of a graduate degree full or part‑time in an accredited college or University.

Responsabilidades

• Communicate effectively with colleagues, clientele, and other internal/external constituencies.
• Under supervision, provide professional services as appropriate to day‑to‑day operating objectives.
• Undertake and/or participate in projects and programs designed to develop professional skills and expertise.
• Participate in planning and implementation of unit projects and initiatives within area of expertise and ability.
• As requested by management, conduct research and reporting inclusive of recommendations or alternative proposals for action.
• Undertake related studies or enrichment programs as appropriate to the specific objectives of the operating unit.
• Perform miscellaneous job‑related duties as assigned.

Conhecimentos

Python

SQL

NumPy

Pandas

Scikit-learn

PyTorch

TensorFlow

GraphQL

Formação académica

Bachelor’s degree

Pursuance of graduate degree (full/part-time)

Ferramentas

GraphQL

Descrição da oferta de emprego

Highmark Health in the United States is offering the Summer 2027 Data Science Research & Development (DSRD) Graduate Internship, inviting graduate students to apply advanced data science, ML, AI, and software engineering to healthcare challenges.

As a member of the DSRD team, interns collaborate with researchers, data scientists, ML engineers, and software developers to build solutions using clinical, medical, and insurance data, spanning NLP, graph tech, vision, and generative AI.