Applied Scientist PhD Internship

The Health & Life Sciences (HLS) Applied Research team is seeking an Applied Scientist PhD research intern interested in advancing AI techniques that operate effectively in complex, real world information settings. The role centers on modern large language models, reasoning approaches, and agentic workflows, with a focus on how these methods can better interpret evolving information and support practical decision making. As an intern, you will investigate how advanced AI methods can enable high-impact scenarios across Health & Life Sciences and other information-rich domains. This includes designing and assessing approaches that improve the usefulness and consistency of AI-driven processes, engaging with dynamic information sources, and understanding how AI can best assist domain experts and downstream applications. This internship blends applied research with building prototype systems that demonstrate clear value to stakeholders. You will work closely with researchers and applied scientists across HLS to develop methods, tools, or workflows that contribute to more effective and trustworthy AI solutions.