• Manage and provide data repositories for AI, Medical and Product Discovery Teams

• Administration of quality feedback loops and data surveillance (e.g. production case evaluation)

• Management of annotation pipelines and platforms to ensure a constant data flow

• Support the data engineering team in tasks related to our core infrastructure

• Supervise delivery and quality control of data-sets & content, e.g. hold-out, training-data, data-analysis

• 
  
  • 
    

    • A degree in a relevant scientific (Medical/Computer Science, Engineering) discipline 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 the English language

    • Strong commitment to teamwork

  • Good-to-have: 

    • Experience working with DICOM and/or in the Radiology field is a big plus

    • Familiarity with common tools in the data engineering space

  • We are looking for brilliant, hard-working people who strive to become recognised thought leaders in their domain. If you enjoy learning new things and thrive in a fast-paced environment, we would love to meet you. Together, we will continuously tailor the role to your strengths and development goals.

Pioneer medical AI to maximize human health. Become part of an ambitious team valuing individuals, dedication and a joyful work experience. Solve novel challenges with life-saving implications.

• 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