Scientific Solution Architect

You will work closely with researchers, clinicians, legal and ethics experts, and a dedicated software developer., * Conceptualizing secure workflows for international submission of sensitive medical imaging data

• Defining architectural concepts for the benchmarking and evaluation platform, including controlled and secure execution of externally submitted models
• Translating scientific, regulatory, and ethical requirements into practical technical concepts, including security and compliance requirements
• Making and documenting architectural decisions and technical trade-offs
• Designing concepts for access control, data storage, and security mechanisms
• Acting as a technical interface between research teams, software developers, legal experts, and external infrastructure providers
• System implementation in close collaboration with a dedicated software engineer and contributions to technical development where appropriate, * Full architectural ownership from day one: you will be building the platform from scratch, not maintaining or extending a legacy system
• An interdisciplinary team of researchers, clinicians, and engineers who work closely together and take each other's expertise seriously
• Training and professional development in areas where you want to grow (including security, cloud infrastructure, AI systems, and working with medical data)
• State-of-the-art computational resources
• Flexible working hours, hybrid work options, and part-time arrangements and a family-supportive environment (including a parent-child room and subsidised childcare places)

• A university degree in computer science, software engineering, or a related field
• Hands-on software development experience, including academic positions or PhD work
• Experience in software, platform, or systems architecture, or in a comparable technical role
• Strong programming skills and comfort working across the stack
• A solid understanding of secure systems design and data protection principles
• Ability to communicate technical concepts clearly to interdisciplinary and non-technical stakeholders
• A structured and solution-oriented working style
• Excellent English communication skills, written and verbal, * Experience with cybersecurity or compliance frameworks
• Familiarity with cloud or hybrid infrastructures, data ingestion and storage systems, modular or service-oriented architectures, or isolated execution environments
• Experience with AI/ML systems
• Experience with medical imaging or other sensitive data, * A central role in a high-visibility international research project (including high-impact publications)

Excellent framework conditions: state-of-the-art equipment and opportunities for international networking at the highest level

The German Cancer Research Center (DKFZ) is one of Europe's largest cancer research centers. "Research for a life without cancer" is the mission of our world-class scientists and all our team members. The DKFZ is a place where the brightest minds pursue bold ideas and seek answers to pioneering scientific questions through collaboration, innovation, and exploration across many disciplines. We provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication to create a space where scientific discovery in cancer research is transformed into benefits for human health., Medical imaging AI is advancing rapidly, however, research effort is often shaped by data availability rather than clinical need. MEDAL (Medical Imaging AGI's Last Exam - https://www.carl-zeiss-stiftung.de/en/project-overview/detail/medical-imaging-agis-last-exam) is an international initiative funded by the Carl-Zeiss-Stiftung that aims to change this by building a globally relevant benchmark grounded in real clinical priorities. Through a large-scale crowdsourcing campaign, clinicians, and researchers worldwide will contribute challenging clinical questions and medical imaging data. An international, multidisciplinary expert panel will curate the benchmark to ensure clinical relevance, diversity, and rigor.