Snke
Project Engineer for Healthcare Data Modelling(m/w/x)
Full-timeWith HomeofficeExperienced
München, Heidelberg
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SNSnke
Working Student – Healthcare Data Engineering (Computer Science / Data Science)(m/w/x)
München
Full-timeWorking StudentWith Home Office
AI/ML
Data Science
Nejo AI Summary
Developing scripts for FHIR-based data pipelines, integrating DICOM, HL7, SNOMED CT data in healthtech. Enrolled in Computer Science or Data Science, with Python/SQL experience required. Flexible working hours, hybrid work model.
Requirements
- Enrolled student in Computer Science, Data Science, Bioinformatics, or related field
- Experience with one or more programming languages (e.g., Python, JavaScript, SQL)
- Familiarity with data structures, APIs, or databases
- Interest in healthcare data, interoperability, and digital health applications
- Independent, reliable working style, attention to detail
- Good communication skills in English
Tasks
- Support design and implementation of FHIR-based data pipelines and APIs
- Develop scripts and tools for data transformation
- Develop scripts and tools for data cleaning
- Develop scripts and tools for data validation
- Integrate and standardize healthcare data (FHIR, DICOM, HL7, SNOMED CT, LOINC)
- Build data models for clinical and research use cases
- Build dashboards for clinical and research use cases
- Build prototypes for clinical and research use cases
- Document data processes
- Perform quality assurance for data processes
- Collaborate with software engineering team members
- Collaborate with medical informatics team members
- Collaborate with project management team members
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- JavaScript
- SQL
- APIs
- databases
Benefits
Flexible Working
- Flexible working hours
- Hybrid work model
Informal Culture
- Supportive international team
- Culture of trust
Purpose-Driven Work
- Meaningful responsibilities
Parking & Commuter Benefits
- Parking garage
- Secure underground bike storage
- Centrally located workspace
Free or Subsidized Food
- Subsidized company restaurant
Snacks & Drinks
- In-house café
Team Events
- Regular after-work events
- Regular team events
- Regular company events
Modern Office
- Modern workspace
Startup Environment
- Rooftop terrace
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Snke and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SNSnke
Working Student – Healthcare Data Engineering (Computer Science / Data Science)(m/w/x)
München
Full-timeWorking StudentWith Home Office
AI/ML
Data Science
Nejo AI Summary
Developing scripts for FHIR-based data pipelines, integrating DICOM, HL7, SNOMED CT data in healthtech. Enrolled in Computer Science or Data Science, with Python/SQL experience required. Flexible working hours, hybrid work model.
Requirements
- Enrolled student in Computer Science, Data Science, Bioinformatics, or related field
- Experience with one or more programming languages (e.g., Python, JavaScript, SQL)
- Familiarity with data structures, APIs, or databases
- Interest in healthcare data, interoperability, and digital health applications
- Independent, reliable working style, attention to detail
- Good communication skills in English
Tasks
- Support design and implementation of FHIR-based data pipelines and APIs
- Develop scripts and tools for data transformation
- Develop scripts and tools for data cleaning
- Develop scripts and tools for data validation
- Integrate and standardize healthcare data (FHIR, DICOM, HL7, SNOMED CT, LOINC)
- Build data models for clinical and research use cases
- Build dashboards for clinical and research use cases
- Build prototypes for clinical and research use cases
- Document data processes
- Perform quality assurance for data processes
- Collaborate with software engineering team members
- Collaborate with medical informatics team members
- Collaborate with project management team members
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- JavaScript
- SQL
- APIs
- databases
Benefits
Flexible Working
- Flexible working hours
- Hybrid work model
Informal Culture
- Supportive international team
- Culture of trust
Purpose-Driven Work
- Meaningful responsibilities
Parking & Commuter Benefits
- Parking garage
- Secure underground bike storage
- Centrally located workspace
Free or Subsidized Food
- Subsidized company restaurant
Snacks & Drinks
- In-house café
Team Events
- Regular after-work events
- Regular team events
- Regular company events
Modern Office
- Modern workspace
Startup Environment
- Rooftop terrace
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Snke and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Snke
Industry
Healthcare
Description
The company is transforming healthtech with scalable, data-driven innovation powered by AI and big data analytics.
Not a perfect match?
- Snke
Project Engineer for Healthcare Data Modelling(m/w/x)
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