Principal Applied Scientist, Life Sciences AI Leader

Amazon

Seattle (WA)

On-site

USD 199,000 - 269,000

Full time

14 days+

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Job summary

Amazon’s AWS Applied AI Solutions – Life Sciences is seeking a Principal Applied Scientist to set the scientific direction for life sciences AI, bridging advanced research with scalable, shipped solutions.

You will lead research on LLM reasoning, agentic AI, and biological model customization, collaborating with domain experts to deliver capabilities that enable pharma, biotech, and diagnostics customers to deploy advanced AI on their own data at scale.

Qualifications

PhD in Machine Learning, CS, computational biology or related field is required.
Senior/principal-level applied scientist with a track record of solving complex technical problems.
Deep expertise in LLMs, reasoning systems, and agentic AI including architecture design, training, fine-tuning and optimization.
Strong publication record at top-tier ML or computational biology venues.
Experience translating research into products or services used by others.

Responsibilities

Set the scientific vision and research agenda for LLM reasoning, agentic AI, and biological model customization across the portfolio.
Innovate on LLM reasoning, planning, and agentic approaches for complex scientific and regulatory workflows.
Develop model customization methods (fine-tuning, RLHF, retrieval augmentation, domain adaptation) for customers to train better models on their data.
Advance methods to adapt and extend biological foundation models for customer-specific therapeutic applications.
Solve open research problems in faithful reasoning, multi-step planning, and tool use in high-stakes scientific domains.
Partner with Life Sciences domain experts to translate hard scientific challenges into tractable research problems.
Publish at top-tier venues and build the team's external scientific reputation.
Mentor applied scientists while maintaining significant personal research contribution.
Collaborate with product and engineering to ship research as scalable customer-facing products.
Influence multi-year research roadmaps through deep scientific expertise and customer understanding.