Applied AI Scientist — Life Sciences & Agentic LLMs

Amazon Inc.; Seattle, Northern (WA, KY); Hybrid; USD 143,000 - 193,000; Full time

Job summary

Amazon is seeking an Applied Scientist for AWS Applied AI Solutions - Life Sciences to design, train, and deploy LLM-based agentic systems focused on clinical trial operations and drug discovery. You will work with senior scientists to ship capabilities from research to production, applying domain knowledge to ensure scientifically valid outputs.

You will design, train, evaluate, and iterate models, build evaluation benchmarks, and contribute to model customization methods for customer data,

Qualifications

• Applied research experience with a track record of solving complex technical problems and delivering results.
• Experience with LLMs, reasoning systems, and agentic AI, including architecture design, training, fine-tuning, and evaluation
• Experience building or evaluating agentic systems (planning, tool use, retrieval, verification)
• Publication record at ML or computational biology venues
• Demonstrated ability to apply model customization techniques (fine-tuning, RLHF, retrieval augmentation, domain adaptation) to specific downstream applications
• Excellent programming skills in Python and deep learning frameworks (PyTorch, JAX), with a modern development practice that embraces AI-assisted coding and iteration

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

Skills

LLMs

Agentic AI

Python

PyTorch

JAX

Research excellence

Experimentation

Publication track record

Education

PhD in ML/CS/Computational Biology or related (or MS with equivalent applied research)

MS or higher in a relevant field

Tools

PyTorch

JAX

Job description

Amazon is seeking an Applied Scientist for AWS Applied AI Solutions - Life Sciences to design, train, and deploy LLM-based agentic systems focused on clinical trial operations and drug discovery. You will work with senior scientists to ship capabilities from research to production, applying domain knowledge to ensure scientifically valid outputs.

You will design, train, evaluate, and iterate models, build evaluation benchmarks, and contribute to model customization methods for customer data,