Dein persönlicher KI-Karriere-Agent
Scientific Solution Architect(m/w/x)
Designing technical foundations for the MEDAL platform, shaping clinical data flow, and implementing secure data storage. University degree in computer science or software engineering required. Hybrid work options, part-time arrangements.
Anforderungen
- University degree in computer science or software engineering
- Hands-on software development experience
- Software, platform, or systems architecture experience
- Strong programming skills across the stack
- Understanding of secure systems design
- Understanding of data protection principles
- Clear communication of technical concepts
- Structured and solution-oriented working style
- Excellent English communication skills
- Experience with cybersecurity frameworks
- Experience with compliance frameworks
- Familiarity with cloud infrastructures
- Familiarity with hybrid infrastructures
- Familiarity with data ingestion systems
- Familiarity with data storage systems
- Familiarity with modular architectures
- Familiarity with service-oriented architectures
- Familiarity with isolated execution environments
- Experience with AI/ML systems
- Experience with medical imaging data
- Experience with sensitive data
Aufgaben
- Design technical foundations for the MEDAL platform
- Shape clinical data flow into the project
- Implement secure data storage and protection mechanisms
- Evaluate AI models against benchmarks
- Collaborate with researchers, clinicians, legal, and ethics experts
- Conceptualize secure workflows for international data submission
- Define architectural concepts for benchmarking and evaluation
- Translate scientific, regulatory, and ethical requirements into technical concepts
- Document architectural decisions and technical trade-offs
- Design access control, data storage, and security mechanisms
- Act as a technical liaison between research teams and external providers
- Implement systems alongside a software developer
- Contribute to technical development as needed
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AI/ML systems
Benefits
Flexibles Arbeiten
- Flexible working hours
- Hybrid work options
- Part-time arrangements
- Flexible work hours
- Mobile work options
- Part-time work options
Betriebliche Altersvorsorge
- Company pension plan
Attraktive Vergütung
- Asset-building benefits
Modernes Büro
- State-of-the-art infrastructure
Workation & Sabbatical
- International exchange opportunities
Mehr Urlaubstage
- 30 days of vacation
Familienfreundlichkeit
- Family-friendly work environment
Öffi Tickets
- Discounted Germany Job Ticket
Weiterbildungsangebote
- Personal development opportunities
Mentale Gesundheitsförderung
- Employee well-being program
Gefällt dir diese Stelle?
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Scientific Solution Architect(m/w/x)
Designing technical foundations for the MEDAL platform, shaping clinical data flow, and implementing secure data storage. University degree in computer science or software engineering required. Hybrid work options, part-time arrangements.
Anforderungen
- University degree in computer science or software engineering
- Hands-on software development experience
- Software, platform, or systems architecture experience
- Strong programming skills across the stack
- Understanding of secure systems design
- Understanding of data protection principles
- Clear communication of technical concepts
- Structured and solution-oriented working style
- Excellent English communication skills
- Experience with cybersecurity frameworks
- Experience with compliance frameworks
- Familiarity with cloud infrastructures
- Familiarity with hybrid infrastructures
- Familiarity with data ingestion systems
- Familiarity with data storage systems
- Familiarity with modular architectures
- Familiarity with service-oriented architectures
- Familiarity with isolated execution environments
- Experience with AI/ML systems
- Experience with medical imaging data
- Experience with sensitive data
Aufgaben
- Design technical foundations for the MEDAL platform
- Shape clinical data flow into the project
- Implement secure data storage and protection mechanisms
- Evaluate AI models against benchmarks
- Collaborate with researchers, clinicians, legal, and ethics experts
- Conceptualize secure workflows for international data submission
- Define architectural concepts for benchmarking and evaluation
- Translate scientific, regulatory, and ethical requirements into technical concepts
- Document architectural decisions and technical trade-offs
- Design access control, data storage, and security mechanisms
- Act as a technical liaison between research teams and external providers
- Implement systems alongside a software developer
- Contribute to technical development as needed
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AI/ML systems
Benefits
Flexibles Arbeiten
- Flexible working hours
- Hybrid work options
- Part-time arrangements
- Flexible work hours
- Mobile work options
- Part-time work options
Betriebliche Altersvorsorge
- Company pension plan
Attraktive Vergütung
- Asset-building benefits
Modernes Büro
- State-of-the-art infrastructure
Workation & Sabbatical
- International exchange opportunities
Mehr Urlaubstage
- 30 days of vacation
Familienfreundlichkeit
- Family-friendly work environment
Öffi Tickets
- Discounted Germany Job Ticket
Weiterbildungsangebote
- Personal development opportunities
Mentale Gesundheitsförderung
- Employee well-being program
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
German Cancer Research Center (DKFZ)
Branche
Research
Beschreibung
The company is one of Europe’s largest cancer research centers, dedicated to research for a life without cancer.
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