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.
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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually
Additional Information
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.
Key job 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
A day in the life
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.
Amazon Web · Seattle, WA