Healthcare Data Science Research Intern

Highmark Health

Colorado Springs (CO)

On-site

USD 34,000 - 48,000

Part time

6 days ago
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Job summary

Highmark Health is offering a Summer 2027 Data Science Research & Development Graduate Internship for motivated graduate students. You will work with researchers, data scientists, ML engineers, and software developers to apply advanced analytics, ML, AI, and software techniques to healthcare data.

Interns will gain hands-on experience across four tracks—Knowledge Graphs, Medical Imaging, Predictive Modeling, and AI Applications—contributing to high‑impact research initiatives and

Qualifications

  • Bachelor's degree required or in progress for graduate studies in a relevant field.
  • Pursuit of a graduate degree (Master/Ph.D.) in CS/Biomedical Informatics/Data Science or related quantitative discipline is preferred.
  • Strong programming experience in Python with familiarity in modern data science libraries (NumPy, Pandas, Scikit‑learn, PyTorch, TensorFlow).

Responsibilities

  • Collaborate with a multidisciplinary team of researchers and engineers to apply data science, ML, AI, and software engineering techniques to healthcare data.
  • Assist in design, development, and evaluation of analytical solutions for clinical and insurance data.
  • Contribute to model development, experimentation, and interpretation with emphasis on explainability and fairness.
  • Participate in projects spanning knowledge graphs, medical imaging, predictive modeling, and AI applications.
  • Communicate findings to technical and business audiences and support publication-ready results.

Skills

Python programming
NumPy
Pandas
Scikit‑learn
PyTorch
TensorFlow
SQL

Education

Bachelor's degree
Pursuing Master's/Ph.D. in CS/DS or related

Job description

Highmark Health is offering a Summer 2027 Data Science Research & Development Graduate Internship for motivated graduate students. You will work with researchers, data scientists, ML engineers, and software developers to apply advanced analytics, ML, AI, and software techniques to healthcare data.

Interns will gain hands-on experience across four tracks—Knowledge Graphs, Medical Imaging, Predictive Modeling, and AI Applications—contributing to high‑impact research initiatives and

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