We're currently hiring a backend or full-stack software engineer, ideally with machine learning/data science familiarity or experience. At a high level, you will work to facilitate the growth of our proprietary NOSIS dataset and to build and deploy machine learning algorithms into real world products integrated into hospital systems. You will be working with a diverse group of people including assay scientists, statisticians, clinicians, and quality/regulatory specialists.
Technologies we use: Python, R, Django, Flask, React, PostgreSQL, Docker, AWS, SMART on FHIR