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 Golds 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
Remote Work :
No
Employment Type :
Full-time
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 analyt...
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 Golds 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
Remote Work :
No
Employment Type :
Full-time
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