Senior Applied Scientist, Healthcare and Life Science Services

Amazon • Seattle, WA

24d • $167,100 - $226,100 • Onsite

About The Position

We are looking for an exceptional senior 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 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.

Requirements

• PhD, or Master's degree and 8+ years of applied research experience
• 8+ years of building machine learning models for business application experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning
• Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, etc.)
• Applied Research experience in Bioinformatics, Pharmacology, Pharmacometrics, or other related fields.

Nice To Haves

• PhD in computer science, machine learning, engineering, or related fields, or a Associate's degree or above and experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows
• 3+ years of working with or evaluating AI systems experience
• Experience with predictive modeling in healthcare, pharmacology, or clinical trial contexts
• Experience working with healthcare data (e.g., EHR, clinical trials, medical claims)
• Understanding of synthetic data generation techniques (e.g., GANs) for healthcare applications

Responsibilities

• Design, develop, and deploy novel Agentic systems and ML solutions for complex healthcare challenges
• Navigate ambiguity and create clarity in early-stage product development
• Establish best practices for ML experimentation, evaluation, development and deployment
• Collaborate with product managers, engineers, and domain experts to transform research into production-quality features
• Mentor junior scientists and contribute to the technical strategy of the team

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
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior