Working Student – Healthcare Data Curation (Medical / Health Sciences)

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Snke is seeking a Working Student in Healthcare Data Curation on-site in Munich to connect clinical knowledge with digital data solutions. You will collect, annotate, and structure medical datasets, collaborate with data engineers to ensure data model accuracy, define data collection protocols based on FHIR, and map SNOMED CT ICD while contributing to documentation and quality. The role targets enrolled students in Medicine or Medical Informatics with a basic understanding of clinical workflows and a strong interest in digital health and AI. Tips: tailor your CV to show relevant coursework, note exposure to FHIR or DICOM, and state your first available start date. Apply online with English; German is a plus.

Company Description

Founded in 2020 and headquartered in Munich, Snke is transforming healthtech with scalable, data-driven innovation powered by AI and big data analytics. We're experts specializing in large platforms, digital health and software-driven medical technology. By delivering a trusted orchestration layer, Snke empowers healthcare providers, societies, registries, agencies and all partners to deploy cutting-edge solutions for safe and efficient interventions and enhances patient outcomes. Beyond our Munich headquarters, we have core teams in Chicago, Heidelberg, San Diego and Tel Aviv. Snke fosters global collaboration to create technologies that are smart, enablin and holistic—helping healthcare providers deliver meaningful change.

Job Description

As a Working Student in Healthcare Data Curation, you will join our interdisciplinary Snke Data team to help bridge the gap between clinical knowledge and digital data solutions. You will support the collection, annotation, and structuring of healthcare data that form the foundation for advanced analytics and interoperability, in medicine. 

Your responsibilities 

• 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 

Qualifications

• 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) 

Additional Information

• 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 
• Subsidized Gold's Gym membership
• 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: Tatjana von Freyberg