Medical Data Architect

vor 3 Wochen


Munich, Bayern, Deutschland Floy Vollzeit

About Floy

Floy is a pioneering healthcare technology company on a mission to build the infrastructure for personalized health. We envision a future where everyone can access annual holistic health assessments to prevent diseases through early detection.

Our team of exceptional individuals, founded by Leander and Benedikt in 2021, has grown to 35 people over the last months. We are backed by Europe's leading investors and have secured 8.8m€ in total funding.

We're accelerating innovation with rapid feedback, inspiring problems, and a culture that values individuality, dedication, and a joyful work experience. Our goal is to maximize human health by pioneering medical AI.

Your Role

As a Medical Data Engineer at Floy, you will play a critical role in ensuring the reliability and scalability of our services. You will be responsible for building and maintaining medical data pipelines, managing our medical data warehouse, and collaborating with cross-functional teams.

Your key responsibilities include:

  • Managing and providing data repositories for AI, Medical, and Product Discovery Teams
  • Administering quality feedback loops and data surveillance (e.g., production case evaluation)
  • Managing annotation pipelines and platforms to ensure a constant data flow
  • Supporting the data engineering team in tasks related to our core infrastructure
  • Supervising delivery and quality control of datasets & content, e.g., hold-out, training-data, data-analysis

What We Offer

We offer an estimated salary of €80,000-110,000 per year, depending on your level of experience and qualifications. Additionally, we provide flexible remote work options, fun team events, and fair compensation.

Key skills and qualifications required for this role include:

  • A degree in a relevant scientific discipline (Medical/Computer Science, Engineering) or equivalent experience in a related field
  • Deep knowledge in databases (SQL/PostgreSQL)
  • Deep knowledge in data engineering toolkits (pandas, airflow, airbyte)
  • Proficiency in Python
  • Keen eye for detail and a commitment to scientific accuracy
  • Excellent written and verbal communication skills in English
  • Strong commitment to teamwork

Benefits

We accelerate your learning with rapid feedback and inspiring problems. We give you autonomy, flexibility, and the opportunity to connect with our generation's brightest minds. We provide flexible remote team culture, fun team events, and fair compensation.



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