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. The ideal candidate is a highly organized and dependable data professional with experience managing scientific or biomedical datasets, strong attention to detail, and the ability to coordinate effectively across diverse in a dynamic research environment. * Translate scientific and model development requirements into structured dataset preparation tasks. * Ensure imaging data, annotations, and metadata are suitable for downstream AI/ML model development, validation, and scientific analysis. * Communicate clearly about data readiness, limitations, and uncertainties to support scientific and technical decision-making.
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