Senior Applied Scientist, Healthcare and Life Science Services

Senior Applied Scientist, Healthcare and Life Science Services

Job :  | Amazon Web Services, Inc.

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 the 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 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

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.

• PhD, or Master’s degree and 8+ years of applied research experience
• 8+ years of building machine learning models for business applications
• 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, Tensor Flow, etc.)
• Applied research experience in Bioinformatics, Pharmacology, Pharmacometrics, or other related fields

• PhD in computer science, machine learning, engineering, or related fields, or an Associate’s degree or above with experience in causal modeling such as graphical models, causal Bayesian networks, 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

USA, WA, Seattle

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

Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave.