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methods, including but not limited to difference-in-difference analyses Develop and apply biostatistical and bioinformatics methods and pipelines to integrate genetic and epidemiological data for novel
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, including animal models of hypertension and PE, cell culture, imaging, molecular biology approaches as well as RNASeq and other ‘Omics’ datsets and bioinformatic and pathway analysis. This PhD project will
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. Perform large-scale quality control (QC), phasing and imputation of genotypic data, population structure testing, association studies, meta-analysis and fine mapping Contribute to building, benchmarking
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range of exciting projects: for example, developing machine-learning approaches for the identification of known and unknown metabolites in MS/MS data; meta-analysis of mass spectrometry-based metabolomics
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. Beyond our expertise in bioinformatics and metagenomic analysis we offer hands-on clinical experience through cohort studies. Furthermore, the lab also hosts state-of-the-art facilities dedicated
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Summary We are developing cutting-edge analysis methods in the areas of multi-omics data integration, pathway analysis, subtype discovery, clinical trial optimization, and meta-analysis. Our group
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | 3 months ago
infrastructure to expedite the quantitative evaluation of data resulting from studies that are laboratory based. The position will entail the establishment and maintenance of applicable in-house bioinformatics