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                Immunology, Data Science and/or related fields. MD/PhD with molecular biology research experience. Must have experience with analyzing omics data. Familiarity or direct experience with analysis of 10x Genomics 
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                for the synthesis of lead compounds. • Perform detailed analysis and characterization of synthesized compounds using advanced techniques such as NMR, MS, and HPLC. • Collaborate closely with cross-functional teams 
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                . Preferred Qualifications: Background in live imaging and image analysis in tissue or stem cell cultures. This position is onsite. The work is performed on-site or at a designated assignment location. Be Bold 
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                to define and lead specific research objectives aligned with the funded aims. Responsibilities will include project management, coordination of data collection and analysis, manuscript preparation, and 
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                candidate will work directly with experimental scientists within a wet lab setting to facilitate the management, analysis, and visualization of the mass spectrometry-based proteomic data generated in our 
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                analysis using appropriate machine learning techniques and contribute to the writing of technical papers and research proposals. Duke is an Equal Opportunity Employer committed to providing employment 
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                , fluorescence and confocal microscopes. Analyze images using image analysis software, obtain data for publication. · Prepare protein for western blots and analyze data. · Design and perform molecular assays 
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                /bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis 
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                statistical models to investigate gene by environment interactions and to utilize bioinformatics resources and high-dimensional –omics data to elucidate the biological significance of the statistical analysis 
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                , including literature review, experimental design, data analysis, collaboration, and dissemination of findings through conferences and publications. Apply for fellowships and awards, and provide mentorship