Floy develops AI-driven software that supports radiologists in detecting complex and hard-to-identify diseases. The collaboration of Floy-AI and radiologists ensures optimal patient outcomes by enabling the early detection and thus early treatment of diseases.
51 - 200 employees
February 14
Floy develops AI-driven software that supports radiologists in detecting complex and hard-to-identify diseases. The collaboration of Floy-AI and radiologists ensures optimal patient outcomes by enabling the early detection and thus early treatment of diseases.
51 - 200 employees
β’ Seeking a highly skilled and experienced Data Engineer β’ Involves building and maintaining medical data pipelines β’ Managing our medical data warehouse in collaboration with cross-functional teams β’ Critical in ensuring the reliability and scalability of our services β’ Directly impacting the product's effectiveness in improving patients' lives β’ Manage and provide data repositories for AI, medical, and product discovery teams β’ Build reliable and robust data pipelines in coordination with product managers & AI engineers β’ Administration of quality feedback loops and data surveillance (e.g., production case evaluation) β’ Management of annotation pipelines and platforms to ensure a constant data flow β’ Support the data engineering team in tasks related to our core infrastructure β’ Provide well maintained, documented, and testable code β’ Supervise delivery and quality control of data-sets & content
β’ A degree in a relevant scientific (Medical/Computer Science, Engineering) discipline or equivalent experience in a related field β’ Deep knowledge in databases (SQL/PostgreSQL) β’ Deep knowledge in data engineering toolkits (pandas, airflow, airbyte, dbt) β’ Proficiency in Python and Docker β’ Keen eye for detail and a commitment to scientific accuracy β’ Excellent written and verbal communication skills in the English language β’ Strong commitment to teamwork and to delivering robust and scalable solutions β’ Good-to-have: Experience working with DICOM and/or in the Radiology field is a big plus β’ Familiarity in working with cloud environments (AWS/GCP) β’ Experience with NoSQL databases β’ Familiarity with machine learning and computer vision methods
β’ Flexible remote team culture β’ Company retreats β’ Fair compensation
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