Healthcare Data Science R&D Intern

Highmark Health; Central City (NE); Vor Ort; USD 32.000 - 48.000; Vollzeit

Zusammenfassung

Highmark Health offers the Summer 2027 Data Science Research & Development Graduate Internship, inviting graduate students to apply AI, ML, and software engineering to real healthcare challenges. Interns will work with a multidisciplinary team across four tracks—Knowledge Graphs, Medical Imaging, Predictive Modeling, and AI Applications—developing analytics solutions using clinical and healthcare data.

Interns gain hands-on experience in model evaluation, experimentation, and communicating

Qualifikationen

• Bachelor’s degree required.
• Pursuing a graduate degree full or part-time in a related field.
• Strong programming experience in Python.
• Experience with data science libraries: NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow.
• Proficiency in SQL and relational databases.

Aufgaben

• Communicate effectively with team members and stakeholders.
• Under supervision, provide professional services aligned with objectives.
• Participate in projects to develop professional skills and expertise.
• Assist in planning and implementing unit projects and initiatives.
• Conduct research and reporting with recommendations when requested.
• Engage in related studies or enrichment programs as needed.
• Perform miscellaneous duties as assigned.

Kenntnisse

communication

teamwork

problem solving

Ausbildung

Bachelor's degree

Graduate degree (pursued, part/full-time)

Tools

Python

NumPy

Pandas

Scikit-learn

PyTorch

TensorFlow

SQL

Jobbeschreibung

Highmark Health offers the Summer 2027 Data Science Research & Development Graduate Internship, inviting graduate students to apply AI, ML, and software engineering to real healthcare challenges. Interns will work with a multidisciplinary team across four tracks—Knowledge Graphs, Medical Imaging, Predictive Modeling, and AI Applications—developing analytics solutions using clinical and healthcare data.

Interns gain hands-on experience in model evaluation, experimentation, and communicating