Applied AI Scientist, Life Sciences & Clinical Trials

Amazon; Omaha, Northern (NE, KY); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon AWS Applied AI Solutions in Seattle seeks an Applied Scientist to build LLM-based agentic systems for life sciences, focusing on clinical trial operations and domain-specific reasoning. You will design, train, and evaluate models, shipping capabilities into products used by researchers and clinicians.

You will collaborate with senior scientists and domain experts to advance protein engineering and antibody design while maintaining scientific rigor and a path to production.

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).
• Excellent programming skills in Python and deep learning frameworks (PyTorch, JAX).

Responsibilities

• Design, train, fine-tune, and evaluate LLM-based agentic systems built for clinical protocols and operational workflows.
• Build rigorous evaluation harnesses and benchmarks to measure agent reliability, faithfulness, and failure modes.
• Develop model customization methods (fine-tuning, RLHF, retrieval augmentation, domain adaptation) for customer data.
• 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 reasoning

Agentic AI

Python programming

Deep learning

Research publication

Model customization

Education

Master's degree or above

PhD or MS with equivalent

Tools

PyTorch

JAX

Job description

Amazon AWS Applied AI Solutions in Seattle seeks an Applied Scientist to build LLM-based agentic systems for life sciences, focusing on clinical trial operations and domain-specific reasoning. You will design, train, and evaluate models, shipping capabilities into products used by researchers and clinicians.

You will collaborate with senior scientists and domain experts to advance protein engineering and antibody design while maintaining scientific rigor and a path to production.