Medical imaging AI is advancing rapidly, however, research effort is often shaped by data availability rather than clinical need. Through a large-scale crowdsourcing campaign, clinicians, and researchers worldwide will contribute challenging clinical questions and medical imaging data. This is a technically demanding role with real architectural 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 alongside a software developer. 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. An international, multidisciplinary expert panel will curate the benchmark to ensure ...
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