Snke
Project Engineer for Healthcare Data Modelling(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
München, Heidelberg
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
SNSnke
Working Student – Healthcare Data Engineering (Computer Science / Data Science)(m/w/x)
München
VollzeitWerkstudentmit Homeoffice
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- JavaScript
- SQL
- APIs
- databases
Benefits
Flexibles Arbeiten
- Flexible working hours
- Hybrid work model
Lockere Unternehmenskultur
- Supportive international team
- Culture of trust
Sinnstiftende Arbeit
- Meaningful responsibilities
Parkplatz & Pendelvorteile
- Parking garage
- Secure underground bike storage
- Centrally located workspace
Gratis oder Vergünstigte Mahlzeiten
- Subsidized company restaurant
Snacks & Getränke
- In-house café
Team Events & Ausflüge
- Regular after-work events
- Regular team events
- Regular company events
Modernes Büro
- Modern workspace
Startup-Atmosphäre
- Rooftop terrace
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Snke erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
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SNSnke
Working Student – Healthcare Data Engineering (Computer Science / Data Science)(m/w/x)
München
VollzeitWerkstudentmit Homeoffice
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- JavaScript
- SQL
- APIs
- databases
Benefits
Flexibles Arbeiten
- Flexible working hours
- Hybrid work model
Lockere Unternehmenskultur
- Supportive international team
- Culture of trust
Sinnstiftende Arbeit
- Meaningful responsibilities
Parkplatz & Pendelvorteile
- Parking garage
- Secure underground bike storage
- Centrally located workspace
Gratis oder Vergünstigte Mahlzeiten
- Subsidized company restaurant
Snacks & Getränke
- In-house café
Team Events & Ausflüge
- Regular after-work events
- Regular team events
- Regular company events
Modernes Büro
- Modern workspace
Startup-Atmosphäre
- Rooftop terrace
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Snke erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Snke
Branche
Healthcare
Beschreibung
The company is transforming healthtech with scalable, data-driven innovation powered by AI and big data analytics.
Noch nicht perfekt?
- Snke
Project Engineer for Healthcare Data Modelling(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenMünchen, Heidelberg - Snke
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VollzeitPraktikummit HomeofficeMünchen - 1165 MSD Sharp & Dohme GmbH
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VollzeitWerkstudentmit HomeofficeMünchen - Brainlab
(Senior) Software Engineer - Data Management(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenMünchen