DAMEDIC GmbH
Fullstack Engineer (RnD)(m/w/x)
Full-timeWith HomeofficeExperienced
Köln
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UNUniversitätsklinikum Köln AöR
Scientific Data Platform Engineer(m/w/x)
Köln
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Databricks
- Spark
- Azure
- Kubernetes
- SQL
- NoSQL
- Python
- R
- JavaScript
- TypeScript
- Java
- scikit-learn
- PyTorch
- TensorFlow
- React
- Plotly
- Streamlit
Benefits
Modern Equipment
- Excellent technical infrastructure
Other Benefits
- Access to real-world clinical data
- Collaboration with leading clinicians and researchers
- Support for publications
Additional Allowances
- Support for PhD studies
- Support for international conference participation
Informal Culture
- Diverse, family-friendly, and modern working environment
Flexible Working
- Flexible hours
- Home office options
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Universitätsklinikum Köln AöR 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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UNUniversitätsklinikum Köln AöR
Scientific Data Platform Engineer(m/w/x)
Köln
Full-timeWith Home OfficeExperienced
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Databricks
- Spark
- Azure
- Kubernetes
- SQL
- NoSQL
- Python
- R
- JavaScript
- TypeScript
- Java
- scikit-learn
- PyTorch
- TensorFlow
- React
- Plotly
- Streamlit
Benefits
Modern Equipment
- Excellent technical infrastructure
Other Benefits
- Access to real-world clinical data
- Collaboration with leading clinicians and researchers
- Support for publications
Additional Allowances
- Support for PhD studies
- Support for international conference participation
Informal Culture
- Diverse, family-friendly, and modern working environment
Flexible Working
- Flexible hours
- Home office options
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Universitätsklinikum Köln AöR 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
Universitätsklinikum Köln AöR
Industry
Healthcare
Description
Die Klinik und Poliklinik für Stereotaxie und Neurochirurgie ist ein integrativer Bestandteil der Universitätsklinik Köln.
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