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                computational (bioinformatics) tools on human and mouse tissues and using in vitro methods on human cells, to explore the consequences of genetics variants on human biology. This is a multi-year position 
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                on the Breast Atlas project, funded by the Gray Foundation. The Bioinformaticist II will collaborate with investigators in the Brugge lab and partner labs to perform bioinformatics analyses, statistical modeling 
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                phenotypes. The lab uses a variety of experimental (functional genomic, targeted genetic) and computational (bioinformatics) tools on human and mouse tissues and using in vitro methods on human cells 
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                following areas: plant biology and spectroscopy, evolutionary biology, bioinformatics, biochemistry, functional genetics, plant physiological ecology and remote sensing. All candidates must have received a 
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                , genetics, bioinformatics, or a related field.Strong background in neurobiology, systems biology, or neurodegenerative disease models. Prior experience with transcriptomic or molecular analyses in cell 
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                experimental techniques and data analysis. Basic Qualifications: Ph.D. or M.D./Ph.D. in areas such as neuroscience, molecular biology, genetics, bioinformatics, or a related field.Strong background in 
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                bioinformatics. Additional Qualifications Special Instructions To apply, please send the following to kgozzi@fas.harvard.edu: A cover letter describing past, current, and future research interests A curriculum 
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                Bioinformatics, Computational Biology, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning 
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                of Organismic and Evolutionary Biology, which is a vibrant community of cross-disciplinary biological scientists at Harvard University. Basic Qualifications A Ph.D. degree in Bioinformatics, Computational Biology 
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                studies. Leading data analysis, contributing to research dissemination, and mentoring lab members along the way. With a combination of wet lab techniques and cutting-edge bioinformatics tools, you’ll