• Support the preparation, curation, and annotation of medical and clinical datasets 
• Collaborate with data engineers to ensure the accuracy and consistency of data models 
• Assist in defining data collection protocols and metadata structures based on FHIR standards 
• Research and apply medical terminologies (e.g., SNOMED CT, ICD, LOINC) for data mapping and standardization 
• Contribute to documentation, reports, and quality control processes 
• Participate in cross-functional meetings with data scientists and software developers 

• Enrolled student in Medicine, Medical Informatics, Health Sciences, or a related discipline 
• Basic understanding of clinical workflows and medical data structures 
• Interest in digital health, data interoperability, and medical AI 
• Structured and detail-oriented working style 
• Eagerness to learn about data standards such as FHIR and DICOM (training will be provided) 
• Good communication skills in English (German is a plus) 

• A mutually-supportive, international team
• Opportunity to build career experience in an exciting international company with a lasting impact on medical technology based in Munich
• Flexible working hours
• Secure bicycle storage room
• Subsidized catering service 
• Centrally located, modern work spaces with a great 212m² roof terrace

Ready to apply? We look forward to receiving your online application including your first available start date. 

Contact person: Selina Feldengut