Data Scientist

• Apply advanced data science, machine learning, artificial intelligence, and software engineering techniques to complex clinical and healthcare challenges
• Collaborate with researchers, data scientists, machine learning engineers, and software developers
• Develop innovative solutions using clinical, medical, and healthcare insurance data
• Contribute to research initiatives involving predictive modeling, artificial intelligence, graph technologies, computer vision, and generative AI
• Design and optimize graph-based healthcare data models, GraphQL interfaces, GNNs, and GraphRAG architectures
• Build medical image processing pipelines and computer vision models for clinical image analysis, anatomical segmentation, and pathology classification
• Develop healthcare risk prediction, disease progression, and patient outcome forecasting models
• Design and evaluate AI agent frameworks, NLP solutions, prompt engineering strategies, and clinical information extraction workflows
• Assist with analytical solution design and development, model evaluation, and experimentation
• Communicate findings to technical and business audiences
• Participate in projects, initiatives, research, reporting, and related studies under supervision and mentorship

Explore Data Science R&D Graduate Intern at Highmark Health. Review requirements and application details.

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