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

Company Description

Mint Medical is a global MedTech company in the field of data-driven radiology and one of the crucial pioneers of personalized medicine.

Radiology is at the center of interdisciplinary communication and presents patient cases in multimedia reports. Our mission is to specifically support radiologists in their reporting and communication and to make the data available in radiological images usable for this purpose. In this way, especially in the case of complex diseases such as cancer, informed therapeutic decisions can be made and new therapies developed to cure patients or improve their quality of life.

Therefore, university clinics, hospitals, and radiological practices as well as leading contract research organizations (CRO), pharmaceutical and biotechnological companies worldwide work with our software solutions.

What you'll do

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. 
 

• 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 

What we're looking for

• 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) 

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

Your HR Contact Person: Tatjana von Freyberg (Head of Human Resources)

Apply now