Healthcare Data Science R&D Intern

Highmark Health; Carson City (NV); Remote; USD 28.000 - 50.000; Vollzeit

Zusammenfassung

Highmark Health's Summer 2027 Data Science Research & Development Graduate Internship invites graduate students to apply advanced data science, ML, and AI methods to healthcare challenges. You will collaborate with researchers, data scientists, ML engineers, and software developers on real-world clinical and insurance data projects.

The program offers four tracks (Knowledge Graphs, Medical Imaging, Predictive Modeling, AI Applications) and emphasizes hands-on analytics, model evaluation, and

Qualifikationen

• Bachelor’s degree in a relevant field.
• Pursuing a graduate degree full or part‑time in an accredited college or university.
• Master’s or Ph.D. in Computer Science, Biomedical Informatics, Data Science, Electrical Engineering, Applied Mathematics, or a related quantitative discipline.

Aufgaben

• Communicate effectively with team members and stakeholders.
• Under supervision, provide professional services aligned with day‑to‑day objectives.
• Participate in projects to develop professional skills and technical expertise.
• Contribute to unit projects and initiatives within area of expertise.
• Conduct research and prepare recommendations or proposals for action.
• Undertake related studies or enrichment programs as appropriate.

Kenntnisse

Python programming

NumPy

Pandas

Scikit-learn

PyTorch

TensorFlow

Machine learning

SQL

Ausbildung

Bachelor’s degree

Pursuing a graduate degree full or part-time

Tools

Git

Jobbeschreibung

Highmark Health's Summer 2027 Data Science Research & Development Graduate Internship invites graduate students to apply advanced data science, ML, and AI methods to healthcare challenges. You will collaborate with researchers, data scientists, ML engineers, and software developers on real-world clinical and insurance data projects.

The program offers four tracks (Knowledge Graphs, Medical Imaging, Predictive Modeling, AI Applications) and emphasizes hands-on analytics, model evaluation, and