Applied Scientist, Life Sciences Applied AI

Amazon • Seattle, WA

2d

About The Position

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.

You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, design simulations and experiments, and develop 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.

Requirements

• 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

Nice To Haves

• 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.

Responsibilities

• 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

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree