Applied Scientist, AWS Applied AI Solutions - Life Sciences
Core
Build LLM-based agentic systems that reason over complex clinical protocols, regulatory standards, and operational workflows to automate and optimize life sciences processes.
Role type
Senior Applied Scientist (Agentic AI & Life Sciences)
Builds
Production-scale AI applications and managed services for clinical trial operations and drug discovery
Domain
Life Sciences (Clinical Trials, Drug Discovery) + Frontier AI (LLMs, Agentic Systems)
Deliverable
production ML models
Required skills
LLM architecture design, agentic system training and evaluation, fine-tuning, RLHF, retrieval augmentation, domain adaptation, Python, PyTorch/JAX, experimental design, scientific rigor
Preferred skills
PhD in ML/CS/Computational Biology, publication record at top-tier ML or computational biology venues, experience with graph-based and causal modeling
Technologies
LLMs, PyTorch, JAX, Python
Responsibilities
Design and train agentic systems for clinical workflows, build rigorous evaluation harnesses for agent reliability, develop model customization methods, partner with domain experts to translate challenges into shipped capabilities, own experiments from problem framing to production hand-off, contribute to drug discovery efforts
Seniority
Senior, hands-on IC with research and production ownership