Working Student - Healthcare Data Engineering (Computer Science / Data Science)

Responsibilities

• Support the design and implementation of FHIR-based data pipelines and APIs
• Develop scripts and tools for data transformation, cleaning, and validation
• Contribute to the integration and standardization of healthcare data (FHIR, DICOM, HL7, SNOMED CT, LOINC)
• Assist in building data models, dashboards, and prototypes for clinical and research use cases
• Participate in the documentation and quality assurance of data processes
• Collaborate with team members from software engineering, medical informatics, and project management
• Enrolled student in Computer Science, Data Science, Bioinformatics, or a related field
• Experience with one or more programming languages (e.g., Python, JavaScript, or SQL)
• Familiarity with data structures, APIs, or databases
• Interest in healthcare data, interoperability, and digital health applications
• Independent and reliable working style, with attention to detail
• Good communication skills in English
• A supportive, international team connected by shared values and a culture of trust
• Meaningful responsibilities with a lasting impact on global healthtech, improving medical decisions and patient outcomes
• Flexible working hours and a hybrid work model within Germany
• Parking garage and secure underground bike storage
• Subsidized company restaurant and in‑house café
• Regular after‑work, team, and company events
• Centrally located, modern workspace with a 212 m² rooftop terrace
• Ready to apply? We look forward to receiving your online application including your first available start date.
• Contact person: Selina Feldengut

Benefits

Additional Information

As a Working Student in Healthcare Data Engineering, you will support our interdisciplinary team in developing and maintaining the data backbone of our healthcare ecosystem. You will contribute to creating privacy-centered, interoperable data solutions that enable data-driven healthcare and research. Together with experienced software engineers, data scientists, and domain experts, you will help design, implement, and validate data pipelines that bring medical data to life.

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