Applied Scientist, AWS Applied AI Solutions - Life Sciences

What you'll do

• Design, train, fine-tune, and evaluate LLM-based agents for clinical protocols, regulatory standards, and operational workflows.
• Develop benchmarks and model-customization methods to assess reliability and improve outputs on customer data.
• Partner with domain, product, and engineering teams to take scientific solutions from research into production.

What they ask for

• Master's degree or above in a relevant field; PhD or MS with equivalent applied research experience.
• Applied research experience solving complex technical problems and delivering results; publication record at ML or computational biology venues.
• Experience with LLMs, reasoning systems, and agentic AI, including architecture design, training, fine-tuning, evaluation, and agentic-system development or evaluation.
• Demonstrated model customization experience and strong Python programming skills with PyTorch or JAX.

Nice to have

• Experience with scientific or high-stakes agent evaluations, clinical data standards, or regulatory science.
• Experience with graph neural networks, causal inference, life sciences, computational biology, or translating research into products.

Pay

142,800.00 - 193,200.00 USD annually (base salary)

Tools

LLMs, Python, PyTorch, JAX, RLHF

AI focus

Develop agentic AI and LLM reasoning for clinical trial operations, including evaluation, fine-tuning, retrieval augmentation, and domain adaptation; potential work in protein engineering and antibody design.