Clinical Informatics - Product Manager, Technical
Our vision at Amazon Health AI 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), and Natural Language Understanding (NLU) Machine Learning (ML). 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 Clinical Informatics Product Manager Technical for AWS Health 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 create the guidelines, educate annotations and science teams on the guidelines and help resolve clinical questions. We are looking for a passionate, talented, and inventive Clinical Informatics - Product Manager, Technical 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 lead the annotations team through highly ambiguous situations regarding clinical knowledge and content, and mitigate risks with sound and data-driven proposals. You will create 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. 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 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.
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.
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.
· 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
· Masters/Certificate in Health or Biomedical Informatics (preferred)
· Experience working with clinical notes. Knowledge of natural language processing.
· 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.
· Excellent written and verbal communication skills.
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