Contribute to innovation in AI-enabled biomarker development through the application of quantitative image-based biomarkers, spatial biology approaches, multimodal data integration, and novel analytical methodologies. * PhD in Biological Sciences, Computational Biology, Bioinformatics, Data Science, Computer Science, or a related discipline, with significant experience working at the intersection of biology, translational medicine, and quantitative data science. * Strong expertise in computational pathology, digital pathology, image analysis, and AI-enabled biomarker development, including experience applying quantitative methods to histopathology data to address translational and clinical questions. * Strong analytical and quantitative skills, including experience interpreting complex multidimensional datasets and connecting computational findings to biological hypotheses, ...
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