Senior Data Scientist
Quartet Health
Greater NYC Area
6 days ago
Researches and develops machine-learning and statistical models in Quartet Health’s platform with an interdisciplinary technical team to improve software personalization and recommendations for users, including patients, doctors, and practitioners. Drives a data-informed process for experimenting with new products to improve patient outcomes and operational efficiency. Designs and develops effective models, features, and algorithms involving multiple datasets, including user activity, Electronic Health Records (EHR), admissions, discharges and transfers (ADT), medical claims, pharmacy claims, and lab test claims. Leverages knowledge of computer science, machine learning, data mining and software architecture to build high-quality data products. Supports the design of Quartet products, including: an entity resolution and de-duplication library for linking patients and providers data, which is collected from multiple sources; a machine learning application for the detection of opioid use disorder in patients using supervised learning and deep learning; and an optical mark recognition (OMR) computer vision application for transcribing paper assessments.