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Clinical Program Manager, East Palo Alto, California

Created02/23/2021
Reference1374198
CategoryProject/Program/Product Management--Non-Tech
Job typeFull Time
CountryUnited States of America
StateCalifornia
CityEast Palo Alto
Zip94301
SalaryCompetitive
Description:
Our vision at Amazon Comprehend Medical is to simplify and advance Natural Language Processing (NLP) in Healthcare. 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 Automatic Speech Recognition (ASR), Machine Translation (MT), Natural Language Understanding (NLU), Machine Learning (ML). If you want your work to positively impact the lives of millions of people and you're up for a challenge, let's talk!

As a Clinical Program Manager for AWS you will support the data teams, maintain accuracy and throughput standards, guidelines and manage operational planning for future expansion.

We are looking for a passionate, talented, and inventive Clinical Program Manager 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.

Specifically, the Clinical Program Manager will:

Manage multiple projects simultaneously with high intuition and critical thinking skills to prioritize based on business objectives and internal capacity.
Lead the annotations of the Data team through highly ambiguous situations, and mitigate risks with sound and data-driven proposals. This requires strong analytical and professional writing skills.
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.

Inclusive Team Culture
Here at AWS, 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.

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. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

Basic Qualifications:
• Advanced degree in a clinical field.
• Two or more years as a program manager or project manager .
• Experience working with clinical notes. Knowledge of natural language processing.
• Experience with Standard Medical Terminologies (SNOMED-CT, ICD-9/10, LOINC, RXNORM)
• Detail-oriented, experience leading projects, and a team player
• Experience with creating guidelines across different specialities
• Excellent written and verbal communication skills.

Preferred Qualifications:
• 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.
• Ability to work under very tight timelines and minimum supervision
• Prior experience in machine learning.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, visit https://www.amazon.jobs/en/disability/us
EmployerAmazon

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