Amazon Senior Applied Scientist Healthcare Life Science Services 

United States, Washington, Seattle 

510588674

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 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.
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 deploymentA 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.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- PhD, or Master's degree and 6+ years of applied research experience
- 5+ 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 Biostatistics, Pharmacology, Pharmacometrics, or other related fields.

- Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
- 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.