Senior Applied Scientist, Healthcare and Life Science Services

Amazon.com-posted 4 months ago
$150,400 - $260,000/Yr
Full-time • Senior
Seattle, WA
5,001-10,000 employees
General Merchandise Retailers
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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.

  • 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
  • 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.
  • Comprehensive medical, financial, and other benefits
  • Equity and sign-on payments as part of total compensation package
  • Flexible working culture to support work-life balance
  • Mentorship and career growth opportunities
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