Sr. Applied Scientist, AWS Applied AI Solutions - Life Sciences
Core
Building AI solutions that transform therapeutic discovery, development, and patient access by applying biological foundation models, LLMs, and agentic reasoning systems to life sciences problems.
Role type
Senior Applied Scientist (Life Sciences AI & Agentic Systems)
Builds
AI products and managed services for clinical trial operations and drug design (protein engineering, antibody design)
Domain
Life Sciences (Clinical Trials, Drug Discovery) + Frontier AI (LLMs, Agentic Systems)
Deliverable
production ML models
Required skills
LLM reasoning, agentic AI systems design, clinical trial operations knowledge, model fine-tuning, domain adaptation, rigorous evaluation of AI systems, graph-based modeling, causal modeling (via careerplan.io/jobs/10569943-sr-applied-scientist-aws-applied-ai-solutions-life-sciences-at-amazon)
Preferred skills
Drug discovery domain expertise (protein engineering, antibody design), R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy
Technologies
Python, Java, C++, LLMs, Foundation Models, Agentic Systems
Responsibilities
Design and train LLM-based agentic systems for clinical protocols and regulatory workflows; Build evaluation harnesses to measure agent reliability in high-stakes domains; Develop model customization methods (fine-tuning, RLHF, retrieval augmentation); Partner with domain experts to translate scientific challenges into shipped capabilities; Own experiments end-to-end from research to production; Publish research at top-tier venues.
Seniority
Senior, hands-on IC with research ownership