Principal Applied Scientist AI for Life Sciences, AWS Applied AI Solutions Life Sciences

AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box making complex things easy and hard things possible with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction and we are looking for builders who share that mindset.

The Team Join the next science revolution at AWS Life Sciences Applied AI Solutions where youll work alongside world-class scientists to build AI that transforms how therapeutics are discovered developed and brought to patients.

Were out to revolutionize how medicines are discovered developed and brought to patients powered by a new generation of AI. Our team tackles some of the hardest open problems at the intersection of frontier AI and life sciences. We apply biological foundation models large language models and agentic reasoning systems to life sciences problems then put them into the hands of pharma biotech and diagnostics customers as applications and managed services they can fine-tune tailor and deploy on their own data. The science challenges are deep: how do you design agentic systems that reason correctly over complex biological regulatory and clinical logic How do you enable customers to tailor foundation models to their proprietary data and get better outputs with less effort How do you adapt models to reason faithfully in high-stakes scientific and regulatory domains

Today were focused on two drug design our products (including Amazon Bio Discovery) accelerate discovery by giving bench scientists AI-guided protein engineering and antibody design clinical trials were building AI that automates and optimizes regulatory and clinical development workflows. We combine frontier research with production-scale delivery to put breakthrough science into the hands of customers solving humanitys hardest problems.

We value scientific rigor encourage publication and support conference participation. If you want to do research that ships this is the team.

Key job 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) that enable customers to train better models on their own data with less effort
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 and customers to understand their hardest scientific challenges and translate those into tractable research problems
Publish at top-tier venues and build the teams external scientific reputation
Mentor applied scientists across the team while maintaining significant personal research contribution
Collaborate with product and engineering to ensure research translates into shipped products that serve customers at scale
Influence multi-year research roadmaps through deep scientific expertise and customer understanding

A day in the life
Push a new reasoning approach into production that measurably improves outputs for a pharma customers workflow
Design and run experiments to validate a novel fine-tuning method then ship it as a capability customers can use immediately
Unblock a delivery milestone by diagnosing why a model is failing on a new class of inputs and implementing a fix
Meet with a customers scientific team to scope what the next model release needs to do for them
Review a teammates experimental results sharpen the approach and help get it over the finish line
Publish results from shipped work at a top venue closing the loop between research and impact
Prototype a new idea that could become the next major capability in the product

About the team
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity and AmazeCon conferences inspire us to never stop embracing our uniqueness.

Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- PhD in Machine Learning Computer Science Computational Biology or related field
- Experience as a senior or 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
- Demonstrated ability to innovate on model customization techniques (fine-tuning RLHF retrieval augmentation domain adaptation) and make models work for specific downstream applications
- Domain experience in life sciences computational biology or related scientific fields (protein engineering antibody design clinical data or regulatory science)
- Experience translating research into products or services that others use (not just standalone publications)
- Experience building and launching 0-to-1 AI products or capabilities from initial research through first customer delivery
- Excellent programming skills in Python and deep learning frameworks (PyTorch JAX) with a modern development practice that embraces AI-assisted coding and iteration

- Experience building managed AI services or model-as-a-service offerings that scientists use directly
- Deep expertise in protein structure prediction inverse folding or antibody optimization using AI
- Demonstrated experience with clinical data standards or regulatory science
- Experience with model customization at scale: efficient fine-tuning RLHF retrieval-augmented generation or domain adaptation
- A history of mentoring senior scientists and helping them achieve career breakthroughs

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 198900.00 - 269000.00 USD annually