Fluency with FAIR data principles (Findable, Accessible, Interoperable, Reusable) and their application in life sciences data management. The position plays a key role in ensuring that imaging data, metadata, annotations, and analysis outputs are fit for purpose for AI development, scientific decision-making, and potential regulatory applications. * Stay informed about emerging data management practices, digital pathology technologies, and AI data standards. * Experience in data management within healthcare, diagnostics, or life sciences is highly desirable. * Strong working knowledge of cloud-based data environments, modern data platforms, and dataset management workflows. * A diverse, inclusive, and bias-free work environment, actively welcoming applications from all qualified , regardless of background or characteristics
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