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, medication outcomes, health disparities, and social determinants of health. The fellow will apply advanced pharmacoepidemiology methodological and statistical methods as well as longitudinal and multi-level
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aims to develop an intersectional, multilevel and multidimensional measure of structural racism. The ideal candidate should possess a strong background in measurement theory and statistics, demonstrating
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computational analysis of omics data. Projects will apply computational, statistical and bioinformatics approaches to integrate multi-omics’ datasets such as genome sequences, bulk RNA-seq, single-cell RNA-seq
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or equally, microbiologists with a solid background in computational analysis of omics data. Projects will apply computational, statistical and bioinformatics approaches to integrate multi-omics’ datasets
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to bacterial vaginosis. The successful candidate will primarily investigate the functional role of the vaginal microbiome in the recurrence of bacterial vaginosis using bioinformatic and statistical analyses