Snke
Project Engineer for Healthcare Data Modelling(m/w/x)
Full-timeWith HomeofficeExperienced
München, Heidelberg
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GEGerman Cancer Research Center (DKFZ)
Scientific Solution Architect(m/w/x)
Heidelberg
Full-time, Part-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- AI/ML systems
Benefits
Flexible Working
- Flexible working hours
- Hybrid work options
- Part-time arrangements
- Flexible work hours
- Mobile work options
- Part-time work options
Retirement Plans
- Company pension plan
Competitive Pay
- Asset-building benefits
Modern Office
- State-of-the-art infrastructure
Workation & Sabbatical
- International exchange opportunities
More Vacation Days
- 30 days of vacation
Family Support
- Family-friendly work environment
Public Transport Subsidies
- Discounted Germany Job Ticket
Learning & Development
- Personal development opportunities
Mental Health Support
- Employee well-being program
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of German Cancer Research Center (DKFZ) 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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GEGerman Cancer Research Center (DKFZ)
Scientific Solution Architect(m/w/x)
Heidelberg
Full-time, Part-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- AI/ML systems
Benefits
Flexible Working
- Flexible working hours
- Hybrid work options
- Part-time arrangements
- Flexible work hours
- Mobile work options
- Part-time work options
Retirement Plans
- Company pension plan
Competitive Pay
- Asset-building benefits
Modern Office
- State-of-the-art infrastructure
Workation & Sabbatical
- International exchange opportunities
More Vacation Days
- 30 days of vacation
Family Support
- Family-friendly work environment
Public Transport Subsidies
- Discounted Germany Job Ticket
Learning & Development
- Personal development opportunities
Mental Health Support
- Employee well-being program
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of German Cancer Research Center (DKFZ) 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
German Cancer Research Center (DKFZ)
Industry
Research
Description
The company is one of Europe’s largest cancer research centers, dedicated to research for a life without cancer.
Not a perfect match?
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