AWS Applied AI Life Sciences organization is looking to invent, implement, and deploy state-of-the-art machine learning algorithms and intelligent AI systems to solve complex problems in the healthcare and life sciences area, with the goal of making a meaningful impact on patient lives.
Requirements
- 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
- Familiarity with time series analysis, causal inference methods and explainable AI approaches
Responsibilities
- Design, develop, and deploy novel Agentic systems and ML solutions for complex healthcare challenges
- 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
- 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
Other
- Navigate ambiguity and create clarity in early-stage product development
- PhD, or Master's degree and 6+ years of applied research experience
- 5+ years of building machine learning models for business application experience
- Experience working with healthcare data (e.g., EHR, clinical trials, medical claims)
- Understanding of synthetic data generation techniques (e.g., GANs) for healthcare applications
