Healthcare Data Science R&D Intern (Graduate)

Highmark Health; Provo (UT); Presencial; USD 28 000 - 39 000; Tempo integral

Resumo da oferta

Highmark Health's Summer 2027 Data Science Research and Development Graduate Internship offers an exciting opportunity for graduate students to apply advanced data science, ML, AI, and software engineering techniques to solve complex clinical and healthcare challenges.

Interns will collaborate with researchers, data scientists, ML engineers, and software developers to develop innovative solutions using clinical, medical, and healthcare insurance data, gaining hands-on experience across four

Qualificações

• Bachelor's degree required.
• Pursuance of a graduate degree full or part-time in an accredited college or university.

Responsabilidades

• Communicate effectively with colleagues, clients, and other stakeholders to plan assignments and resolve day-to-day operational problems.
• Under supervision, provide professional services in line with day-to-day objectives; receive guidance and mentoring from senior personnel.
• Undertake and/or participate in projects to develop professional skills and expertise relevant to the organization.
• Participate in planning and implementation of unit projects and initiatives within area of expertise.
• Conduct research and reporting with recommendations or alternative proposals when requested by management.
• Undertake related studies or enrichment programs as appropriate to the objectives of the operating unit.
• Perform miscellaneous job-related duties as assigned.

Conhecimentos

Python

NumPy

Pandas

Scikit-learn

PyTorch

TensorFlow

SQL

Formação académica

Bachelor's degree

Graduate degree (pursuing full/part-time)

Descrição da oferta de emprego

Highmark Health's Summer 2027 Data Science Research and Development Graduate Internship offers an exciting opportunity for graduate students to apply advanced data science, ML, AI, and software engineering techniques to solve complex clinical and healthcare challenges.

Interns will collaborate with researchers, data scientists, ML engineers, and software developers to develop innovative solutions using clinical, medical, and healthcare insurance data, gaining hands-on experience across four