Senior Data Engineer – Vision-Language Modeling for Radiology

• Manage and provide data repositories for ML engineers

• Lead data exploration, curation, and pre-processing efforts

• Build reliable and robust data pipelines in coordination with product managers & ML engineers

• 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

• Provide well maintained, documented, and testable code, upholding our high quality standards

• 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, dbt)

• Experience working with large and uncleaned data

• Proficiency in Python and Docker

• Keen eye for detail and a commitment to scientific accuracy

• Excellent written and verbal communication skills in the English language

• Strong commitment to teamwork and to delivering robust and scalable solutions

Good-to-have: 

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

• Familiarity in working with cloud environments (AWS/GCP)

• Experience with NoSQL databases

• Familiarity with machine learning and computer vision methods

• Basic German skills to understand radiology reports

• Exposure to MLOps

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:

• High-Impact Research: See your work transition from cutting-edge prototypes into life-saving clinical tools.

• Publication and Patent Opportunities: We encourage you to publish in top venues and generate patents that push the field forward.

• Collaborative Environment: Engage with a world-class team of ML engineers, radiologists, data scientists, and product managers.

• Mission-Driven Culture: Contribute to improving patient outcomes on conditions often overlooked by mainstream research.