Applied AI Scientist, Life Sciences & LLMs

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

Benefits offered by this job

Health insurance

RSUs

Paid time off

Job summary

Amazon Web Services (AWS) Life Sciences Applied AI Solutions invites researchers to join a team building AI that transforms therapeutic discovery, development, and delivery. You will design and evaluate LLM-based agentic systems, tackling clinical protocols, regulatory standards, and high-stakes workflows.

Collaborate with domain experts to turn research into shipped capabilities. You will own end-to-end experiments from framing to production, publish in top venues when possible, and contribute

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)

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

Python

PyTorch

JAX

LLM reasoning

Agentic AI

Education

Master's degree or above in a relevant field

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

Tools

PyTorch

JAX

Job description

Amazon Web Services (AWS) Life Sciences Applied AI Solutions invites researchers to join a team building AI that transforms therapeutic discovery, development, and delivery. You will design and evaluate LLM-based agentic systems, tackling clinical protocols, regulatory standards, and high-stakes workflows.

Collaborate with domain experts to turn research into shipped capabilities. You will own end-to-end experiments from framing to production, publish in top venues when possible, and contribute