Applied Scientist, Life Sciences Applied AI

Description

We are looking for an exceptional applied scientist to join the AWS Applied AI Life Sciences organization. You will invent, implement, and deploy state of the art machine learning algorithms and intelligent AI systems to solve complex problems in healthcare and life sciences area, making a meaningful impact on patient lives. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists.

• Design, develop, and deploy novel Agentic systems and ML solutions for complex healthcare and life sciences challenges.
• Navigate ambiguity and create clarity in early‑stage product development.
• Collaborate with product managers, engineers, and domain experts to transform research into production‑quality features.
• Mentor junior scientists and participate in tactical and strategic planning.

You will solve real‑world problems by getting and analyzing large amounts of data, generating insights and opportunities, designing simulations and experiments, and developing statistical and ML models.

We are a multidisciplinary team of product managers, engineers, scientists, and domain experts working at the intersection of AI/ML and healthcare. We leverage AWS's expertise in secure, scalable cloud computing and applied AI to solve complex challenges in healthcare and life sciences. Our team values customer obsession, technical excellence, innovation, and a commitment to improving patient outcomes through technology.

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
• 3+ years of building machine learning models or developing algorithms for business application experience.
• Experience in patents or publications at top‑tier peer‑reviewed conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing.

• 5+ years of building machine learning models or developing algorithms for business application experience.
• Experience with predictive modeling in healthcare, pharmacology, or clinical trial contexts.
• Experience working with healthcare data (e.g., EHR, clinical trials, medical claims).
• Familiarity with time series analysis, causal inference methods and explainable AI approaches.
• Understanding of synthetic data generation techniques (e.g., GANs) for healthcare applications.
• Experience in applying Generative AI and building Agentic systems.

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 (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t 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 .

USA, WA, Seattle -  -  USD annually

Company - Amazon Development Center U.S., Inc.

Job : A3178355