DAMEDIC GmbH
Fullstack Engineer (RnD)(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
Köln
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UNUniversitätsklinikum Köln AöR
Scientific Data Platform Engineer(m/w/x)
Köln
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Full-stack development for clinical decision-making, integrating multimodal data for ML/AI tools at a university hospital. Master's degree in Biomedical Informatics or similar, plus proven data engineering experience required. PhD studies support, access to real-world clinical data.
Anforderungen
- Master's degree (or equivalent) in Biomedical Informatics, Data Science, Computer Science, or related field
- Proven experience with data engineering and backend development
- Proficiency in Python (plus R, JavaScript/TypeScript, or Java is a plus)
- Hands-on experience with machine learning, AI, or analytics frameworks
- Interest in developing front-end prototypes and dashboards
- Strong analytical mindset, familiarity with FAIR principles, and enthusiasm for publishing and presenting results
- Ability to work across disciplines with clinicians, researchers, and IT experts
- Master's degree (or equivalent) in Biomedical Informatics, Data Science, Computer Science, or related field
- Proven experience with data engineering and backend development
- Proficiency in Python (plus R, JavaScript/TypeScript, or Java is a plus)
- Hands-on experience with machine learning, AI, or analytics frameworks
- Interest in developing front-end prototypes and dashboards
- Strong analytical mindset, familiarity with FAIR principles, and enthusiasm for publishing and presenting results
- Ability to work across disciplines with clinicians, researchers, and IT experts
Aufgaben
- Contribute to full-stack development, from data ingestion to user dashboards
- Design, implement, and maintain a clinical data platform integrating multimodal data
- Build ETL pipelines, APIs, and microservices for secure data exchange
- Develop and deploy ML/AI tools for clinical decision-making, anomaly detection, and workflow optimization
- Translate AI/analytics innovations into usable prototypes
- Ensure usability, robustness, and compliance of prototypes
- Collaborate with clinicians, data scientists, and engineers
- Validate new data-driven solutions in practice
- Contribute to scientific publications, open-source components, and conference presentations
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Databricks
- Spark
- Azure
- Kubernetes
- SQL
- NoSQL
- Python
- R
- JavaScript
- TypeScript
- Java
- scikit-learn
- PyTorch
- TensorFlow
- React
- Plotly
- Streamlit
Benefits
Moderne Technikausstattung
- Excellent technical infrastructure
Sonstige Vorteile
- Access to real-world clinical data
- Collaboration with leading clinicians and researchers
- Support for publications
Sonstige Zulagen
- Support for PhD studies
- Support for international conference participation
Lockere Unternehmenskultur
- Diverse, family-friendly, and modern working environment
Flexibles Arbeiten
- Flexible hours
- Home office options
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Universitätsklinikum Köln AöR 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.
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UNUniversitätsklinikum Köln AöR
Scientific Data Platform Engineer(m/w/x)
Köln
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Full-stack development for clinical decision-making, integrating multimodal data for ML/AI tools at a university hospital. Master's degree in Biomedical Informatics or similar, plus proven data engineering experience required. PhD studies support, access to real-world clinical data.
Anforderungen
- Master's degree (or equivalent) in Biomedical Informatics, Data Science, Computer Science, or related field
- Proven experience with data engineering and backend development
- Proficiency in Python (plus R, JavaScript/TypeScript, or Java is a plus)
- Hands-on experience with machine learning, AI, or analytics frameworks
- Interest in developing front-end prototypes and dashboards
- Strong analytical mindset, familiarity with FAIR principles, and enthusiasm for publishing and presenting results
- Ability to work across disciplines with clinicians, researchers, and IT experts
- Master's degree (or equivalent) in Biomedical Informatics, Data Science, Computer Science, or related field
- Proven experience with data engineering and backend development
- Proficiency in Python (plus R, JavaScript/TypeScript, or Java is a plus)
- Hands-on experience with machine learning, AI, or analytics frameworks
- Interest in developing front-end prototypes and dashboards
- Strong analytical mindset, familiarity with FAIR principles, and enthusiasm for publishing and presenting results
- Ability to work across disciplines with clinicians, researchers, and IT experts
Aufgaben
- Contribute to full-stack development, from data ingestion to user dashboards
- Design, implement, and maintain a clinical data platform integrating multimodal data
- Build ETL pipelines, APIs, and microservices for secure data exchange
- Develop and deploy ML/AI tools for clinical decision-making, anomaly detection, and workflow optimization
- Translate AI/analytics innovations into usable prototypes
- Ensure usability, robustness, and compliance of prototypes
- Collaborate with clinicians, data scientists, and engineers
- Validate new data-driven solutions in practice
- Contribute to scientific publications, open-source components, and conference presentations
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Databricks
- Spark
- Azure
- Kubernetes
- SQL
- NoSQL
- Python
- R
- JavaScript
- TypeScript
- Java
- scikit-learn
- PyTorch
- TensorFlow
- React
- Plotly
- Streamlit
Benefits
Moderne Technikausstattung
- Excellent technical infrastructure
Sonstige Vorteile
- Access to real-world clinical data
- Collaboration with leading clinicians and researchers
- Support for publications
Sonstige Zulagen
- Support for PhD studies
- Support for international conference participation
Lockere Unternehmenskultur
- Diverse, family-friendly, and modern working environment
Flexibles Arbeiten
- Flexible hours
- Home office options
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Universitätsklinikum Köln AöR 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
Universitätsklinikum Köln AöR
Branche
Healthcare
Beschreibung
Die Klinik und Poliklinik für Stereotaxie und Neurochirurgie ist ein integrativer Bestandteil der Universitätsklinik Köln.
Noch nicht perfekt?
- DAMEDIC GmbH
Fullstack Engineer (RnD)(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenKöln - Universitätsklinikum Köln AöR
Project Coordinator / Data Steward in Clinical Research(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenKöln - Redcare Pharmacy
Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenKöln - ControlExpert GmbH
Senior Data Engineer - Focus on Databricks(m/w/x)
Vollzeitmit HomeofficeSeniorLangenfeld (Rheinland) - Computacenter
Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin, Hamburg, München, Köln, Frankfurt am Main, Düsseldorf, Stuttgart, Dortmund, Essen, Hannover