Amazon
Sr. Applied Scientist, AWS Applied AI Solutions - Life Sciences
$167K–$226K
Seattle, WA · Senior · Full-time · Posted Oct 6, 2026
- Experience
- 6+ years of applied research experience with a Master's degree; alternatively, a PhD is required.
- Education
- PhD, or Master's degree and 6+ years of applied research experience.
About the job
Build and ship AI models and agentic systems for clinical trial operations, with possible contributions to drug discovery.
What you'll do
- Design, train, fine-tune, and evaluate agentic systems for clinical protocols, regulatory standards, and operational workflows.
- Build benchmarks and evaluation methods for agent reliability, faithfulness, and failure modes; develop model customization approaches.
- Partner with life sciences, product, and engineering experts to deliver end-to-end scientific solutions and publish research where appropriate.
What they ask for
- PhD, or Master's degree and 6+ years of applied research experience.
- Programming experience in Java, C++, Python, or a related language.
Nice to have
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, or scipy.
Pay
USD 167,100.00 - 226,100.00 annually (base salary)
Tools
Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow
AI focus
Develop LLM-based agentic reasoning systems for clinical trials, including rigorous evaluation, fine-tuning, RLHF, retrieval augmentation, domain adaptation, and graph-based or causal modeling; may also contribute to protein engineering and antibody design.
Model-written summary · the original posting is authoritative