Healthcare Data Science & AI R&D Intern

Highmark Health; Lexington (KY); On-site; USD 28,000 - 41,000; Full time

Job summary

Highmark Health offers the Summer 2027 Data Science Research & Development Graduate Internship to graduate students. The program applies advanced data science, ML, AI, and software engineering to solve healthcare challenges using clinical and insurance data.

Interns join four research tracks—Knowledge Graphs, Medical Imaging, Predictive Modeling, and AI Applications—collaborating with researchers and engineers to develop innovative analytical solutions for healthcare transformation.

Qualifications

• Bachelor’s degree required; pursuing a graduate degree is preferred.
• Currently pursuing a Master’s or Ph.D. in a related quantitative field is preferred.
• Strong Python programming skills are expected.
• Experience with data science libraries such as NumPy, Pandas, Scikit-learn, PyTorch, and TensorFlow.
• Proficiency in SQL and relational databases.

Responsibilities

• Communicate effectively with colleagues and stakeholders in planning assignments.
• Under supervision, provide professional services to day-to-day objectives with mentoring.
• Undertake projects to develop professional skills relevant to the organization.
• Participate in planning and implementing unit projects within expertise.
• Conduct research and prepare reports with recommendations as requested.
• Engage in related studies or enrichment programs aligned with objectives.
• Perform miscellaneous duties as assigned.

Skills

Python

SQL

NumPy

Pandas

Scikit-learn

PyTorch

TensorFlow

Education

Bachelor’s degree

Graduate degree in progress

Job description

Highmark Health offers the Summer 2027 Data Science Research & Development Graduate Internship to graduate students. The program applies advanced data science, ML, AI, and software engineering to solve healthcare challenges using clinical and insurance data.

Interns join four research tracks—Knowledge Graphs, Medical Imaging, Predictive Modeling, and AI Applications—collaborating with researchers and engineers to develop innovative analytical solutions for healthcare transformation.