As a Data Science Intern, you will contribute to cutting-edge AI research at the intersection of healthcare and machine learning. Projects are defined collaboratively based on your skills and interests, as well as our team’s current priorities in advancing healthcare AI.

What you’ll work on:

• Design and implement cutting-edge deep learning architectures for complex healthcare applications.
• Explore multimodal AI approaches integrating vision and language models.
• Advance GenAI systems leveraging the latest large language models.
• Investigate state-of-the-art retrieval techniques.
• Develop robust evaluation frameworks and uncertainty quantification methods.
• Work with agentic AI systems and advanced reasoning pipelines.
• Design novel evaluation protocols that balance performance, safety, and clinical relevance.
• Benchmark and compare performance across diverse model architectures, including both closed-source and open-source options.