Job Description
DESCRIPTION
The AWS Healthcare AI delivers agentic applications purpose-built for healthcare customers including providers, ISVs (e.g. EHRs), and payers. Today we deliver HealthLake (healthcare data storage, transaction, and analytics service) and HealthScribe (Generative AI service to convert patient clinician conversation to clinical documentation) and our building new agentic applications to streamline and power administrative workloads.
Our vision at AWS Healthcare AI is to deliver agentic applications, purpose-built for healthcare customers. We are building a team of passionate people who are focused on changing the world for the better. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in agentic reasoning and accuracy for healthcare services. If you want your work to have a positive impact on the lives of millions of people and you’re up for a challenge, let’s talk!
As a Senior Clinical Data Specialist for AWS Healthcare AI, you will play a critical role in determining what our AI applications focus on to help meet the needs of our Healthcare and Life Sciences customers. You will gather, evaluate, and annotate clinical data for our science teams and help resolve clinical questions on a team of clinical consultants. We are looking for a passionate, talented, and inventive Clinical Data Specialist who can bring bleeding edge machine learning and annotation experience into real products solving real problems together with a highly multi-disciplinary team of scientist, engineers, strategic partners, product managers and subject domain experts.
Being the subject matter expert in Clinical Informatics, you will work on the annotations team through highly ambiguous situations regarding clinical knowledge and content, and mitigate risks with sound and data-driven proposals. You will support and influence our strategy as you identify and evaluate clinical content, technology and other solutions to help address customer problems. This requires strong Clinical knowledge, analytical skills, and professional writing skills.
Key job responsibilities
You will follow the guidelines, support the annotations and science teams on the guidelines and help resolve clinical questions while working on a team of clinical consultants. We are looking for a passionate, talented, and inventive Senior Clinical Data Specialist who can bring bleeding edge machine learning and annotation experience into real products solving real problems together with a highly multi-disciplinary team of scientist, engineers, strategic partners, product managers and subject domain experts.
A day in the life
Inclusive Team Culture
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign opportunities based on what will help each team member develop into a better-rounded contributor.
About the team
The AWS Healthcare AI delivers agentic applications purpose-built for healthcare customers including providers, ISVs (e.g. EHRs), and payers. Today we deliver HealthLake (healthcare data storage, transaction, and analytics service) and HealthScribe (Generative AI service to convert patient clinician conversation to clinical documentation) and our building new agentic applications to streamline and power administrative workloads.
BASIC QUALIFICATIONS
- Relevant medical or degree in a clinical field. 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
Job Tags
Full time, Work from home,