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Clinical Specialist - Product Manager, AWS Healthcare AI

Amazon.com

$116,300 - $201,100
Aug 22, 2025
Santa Clara, CA, US
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AWS Healthcare AI needs a Clinical Specialist Product Manager to define and guide the development of AI applications for healthcare customers, aiming to streamline administrative workloads and improve patient care through accurate clinical documentation.

Requirements

  • 5+ years of relevant clinical informatics experience
  • Experience with data modeling, mapping to standard medical terminologies and classifications (SNOMED CT, ICD-10-CM, ICD-10-PCS, LOINC, RxNorm, CPT, etc)
  • Experience with creating annotation guidelines across different medical specialties
  • Experience leading projects and being a team player on a multi-disciplinary collaborative team
  • Experience working with clinical notes.
  • Knowledge of natural language processing.
  • Prior experience in machine learning.

Responsibilities

  • You will create the guidelines, educate annotations and science teams on the guidelines and help resolve clinical questions while leading a team of clinical consultants.
  • You will be responsible for authoring and maintaining standard policies and procedures for the clinical informatics team.
  • As a mentor you will provide guidance and mentorship to medical annotators.
  • Deep dive into understanding the data collection requirements and delivery criteria to identify key QA processes to ensure deliveries have met those requirements without multiple churns.
  • You will create and influence our strategy as you identify and evaluate clinical content, technology and other solutions to help address customer problems.
  • Being the subject matter expert in Clinical Informatics, you will lead the annotations team through highly ambiguous situations regarding clinical knowledge and content, and mitigate risks with sound and data-driven proposals.

Other

  • Relevant medical or degree in a clinical field.
  • Masters/Certificate in Health or Biomedical Informatics (preferred)
  • Experience leading large, multi-track and fast-moving projects.
  • Practical knowledge of data processing needs and trade-offs.
  • Comfortable working in a fast paced, highly collaborative and dynamic work environment.