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Qualifications: A PhD degree in a field related to exposure science, environmental health, or environmental chemistry; experienced in HPLC-MS analysis and other web lab skills; with publications showing analysis
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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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, 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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chemoproteomics, chemical biology, and related areas. The interested candidate will work directly with experimental scientists within a wet lab setting to facilitate the management, analysis, and visualization
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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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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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including but not limited to microbial ecology, biochemistry, genomics, biostatistics, molecular biology, microbiology, evolutionary biology. Familiarity with metagenomics data analysis, microbial
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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