The Associate Director will engage in data mining of molecular datasets to facilitate biomarker discovery and target identification throughout the oncology pipeline. They will utilize advanced AI and deep learning techniques to examine multi-modal clinico-genomic data to forecast clinical outcomes. Applicants should possess a Master’s degree with over 8 years of relevant experience or a Ph.D. with a minimum of 4 years in a quantitative field. A strong background in statistical learning, data mining, and proficiency in R or Python, particularly within oncology or biotechnology settings, is essential.
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