Applied AI Scientist - Life Sciences & Clinical Trials

Amazon Science; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon Science in Seattle is seeking an Applied Scientist to build the models and methods behind our life sciences AI products with a primary focus on clinical trial operations and agentic reasoning. You will design train and evaluate systems that reason over complex clinical and operational logic and ship them into products customers use directly.

You will work closely with senior and principal scientists to own your results end to end and see your work reach production, contributing to drug

Qualifications

• Master's degree or above in a relevant field
• 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
• PhD in Machine Learning, Computer Science, Computational Biology, or related field, or MS with equivalent applied research experience
• 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

LLM-based agentic systems

Agentic reasoning

Python

PyTorch

JAX

Education

Master's degree in a relevant field

PhD in Machine Learning, Computer Science, Computational Biology, or related field

Tools

PyTorch

JAX

Python

Retrieval augmentation

Job description

Amazon Science in Seattle is seeking an Applied Scientist to build the models and methods behind our life sciences AI products with a primary focus on clinical trial operations and agentic reasoning. You will design train and evaluate systems that reason over complex clinical and operational logic and ship them into products customers use directly.

You will work closely with senior and principal scientists to own your results end to end and see your work reach production, contributing to drug