Applied Scientist, AWS Applied AI Solutions - Life Sciences

Amazon develops cloud-based technology solutions and AI applications for businesses worldwide. The Applied Scientist will design, train, evaluate, and productionize LLM-based agentic systems for clinical trial operations and life sciences, while developing model customization and evaluation methods and collaborating with scientific, product, and engineering teams.

Responsibilities:

• Design, train, fine-tune, and evaluate LLM-based agentic systems that reason over clinical protocols, regulatory standards, and operational workflows
• Build rigorous evaluation harnesses and benchmarks to measure agent reliability, faithfulness, and failure modes in high-stakes domains
• Develop model customization methods (fine-tuning, RLHF, retrieval augmentation, domain adaptation) that help customers get better outputs on their own data with less effort
• Contribute to graph-based and causal modeling approaches for clinical trial operations
• Partner with Life Sciences domain experts, product, and engineering to translate scientific challenges into shipped capabilities
• Own experiments end to end: problem framing, implementation, evaluation, iteration, and hand-off to production
• Publish at top-tier venues where the work supports it
• Contribute to drug discovery efforts (protein engineering, antibody design) as opportunities arise