Scientific Data Platform Engineer (f/m/x)
Tasks
- Assess data ecosystem
- Build test and production environments
- Collaborate with clinical teams and stakeholders
- Design data and interface architecture
- Develop and integrate AI solutions in data pipelines
- Ensure security, privacy, and compliance
- Handle incidents and perform backup recovery
- Implement CI CD for data pipelines and services
- Implement HL7 and FHIR based pipelines
- Integrate clinical data between hospital systems
- Manage pseudonymization and consent workflows
- Operate and monitor data processing pipelines
- Support documentation and scientific publications
Perks/Benefits
- Conference contributions
- Family-friendly work environment
- Flexible home office hours
- Flexible office hours
- Opportunities for publications
- Participation in academic and industry consortia
- Professional career development
Skills/Tech-stack
API | Access Control | Auditing | Azure | CI/CD | Cloud | Consent Management | Data Modeling | Data Quality | Docker | ELT | ETL | FHIR | HL7 | IAM | Logging | MLOps | Metrics | Microservices | Model Serving | NoSQL | Observability | Pseudonymization | Python | R | Role-Based Access | Role-Based Access Control | SQL | Tracing
Education
Regions
Countries
States
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