Deutsches Krebsforschungszentrum DKFZ | Germany | 69xxx Heidelberg | Temporary contract | Part time - flexible / Full time / Home office | Published since: 27.05.2026 on stepstone.de
Scientific Solution Architect
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 pursuing bold ideas and seek answers to 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. The Division of Intelligent Medical Systems is seeking for the next possible date a Scientific Solution Architect. Reference number: 2026-0118 The Division of Intelligent Medical Systems (IMSY) is an interdisciplinary research division working at the interface of computer science, physics, and medicine. Our mission is to address the unique methodological and translational challenges of medical imaging AI to enable robust clinically meaningful applications, with a particular focus on surgical AI. IMSY is highly international and strongly embedded in large collaborative research consortia, meta-research initiatives, and community-driven projects. Project Description: Medical imaging AI is advancing, however, research effort is often shaped by data availability rather than clinical need. MEDAL (Medical Imaging AGI's 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 wants to contribute challenging clinical questions and medical imaging data. An international, multidisciplinary expert panel wants curate the benchmark to ensure clinical relevance, diversity, and rigor. .
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Your tasks • Your profile • What we offer
We are looking for a Scientific Solution Architect to design and build the technical foundations of the MEDAL platform. This is a technically demanding role with real ownership: you will shape how clinical data flows into the project, how it is stored and protected, and how AI models are evaluated against the benchmark, and you will be hands-on in implementing these systems adjacent a software developer. You will work closely with researchers, clinicians, legal and ethics experts, and a dedicated software developer. Key responsibilities include: Conceptualizing secure workflows for international submission of sensitive medical imaging data Defining architectural concepts for the benchmarking and platform evaluation, including controlled and secure execution of externally submitted models Translating scientific, regulatory, and ethical 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
A university degree in computer science, software engineering, or a related field Hands-on software development experience, including academic position 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 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 Desirable qualifications (optional): 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 What makes this position special: A central role in a high-visibility international research project (including high-impact publications) Full ownership from day one: you will be building the platform from scratch, not maintained or required 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 subsidisedcare child places) Application: Please submit your application, including the following documents, via our online application tool: a motivation letter your curriculum vitae relevant academic transcripts ideally two references (letters or contact details)
Excellent framework conditions: state-of-the-art equipment and opportunities for international networking at the highest level 30 days of vacation per year Flexible working hours Remuneration according to TV-L incl. occupational pension plan and capital-forming payments Possibility of mobile work and part-time work Family-friendly working environment Sustainable travel to work: subsidized Germany job ticket Unleash your full potential: targeted offers for your personal development to further develop your talents Our Corporate Health Management Program offers a holistic approach to your well-being
Location
 | Deutsches Krebsforschungszentrum DKFZ | |
| 69120 Heidelberg | ||
| Germany |
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