Applied Science Manager, Healthcare AI

AmazonSeattle, WA
$183,800 - $248,700Onsite

About The Position

The Healthcare AI organization in AWS is seeking an Applied Science Manager to lead science and data teams working on innovative AI-powered healthcare solutions. We are developing innovative products that leverage generative and agentic AI to transform clinical and administrative workflows for healthcare providers. Our aim is to improve patient care, enhance operational efficiency, and deliver exceptional value to our customers. You will lead a team of applied scientists, working on transformative healthcare solutions powered by cloud computing and artificial intelligence. This role offers an opportunity to work at the forefront of applied AI/ML and distributed systems, building new products and services from the ground up. Our team builds on our existing successful healthcare business, which serves major providers and payers in the US. You'll be instrumental in creating solutions that address complex challenges in areas such as clinical documentation, health data analytics, and accurate billing, ultimately contributing to better health outcomes for individuals and populations.

Requirements

  • 2+ years of scientists or machine learning engineers management experience
  • Knowledge of ML, NLP, Information Retrieval and Analytics
  • PhD, or Master's degree and 4+ years of building machine learning models or developing algorithms for business application experience
  • Experience in applied research
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Nice To Haves

  • Experience building machine learning models or developing algorithms for business application
  • Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
  • Experience building speech recognition and natural language processing systems (like commercial speech products or government speech projects) as academic or professional work

Responsibilities

  • Building and mentoring teams of Applied Scientists and ML Engineers
  • Setting technical direction and research strategy aligned with business goals
  • Driving innovation in medical administration reasoning systems, AI agent design, and medical coding
  • Collaborating with cross-functional teams to translate research into production
  • Managing project portfolios and resource allocation

Benefits

  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave
  • sign-on payments
  • restricted stock units (RSUs)
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