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

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 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. 

Your 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 

Qualifications

• 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  

Additional Information

• 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