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Field
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. Collaborate with cross-functional teams, both inside and outside the institution, related to proteomics, statistics, bioinformatics, bioengineering, and chemistry disciplines. Establish transcriptome of tumor
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DNA • Sterile technique • Meticulous laboratory technique • Experience in Next-Generation Sequencing highly desired • Experience in bioinformatic analyses highly desired • Ability to maintain laboratory
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team member. • Excellent verbal and written communication skills. Supplemental Qualifications • Experience in bioinformatics
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: Artificial Intelligence / Machine Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics
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involving biochemistry, chemistry, and analytical mass spectrometry. Bioinformatics is key to interpreting proteomics datasets, and the individual must be able to analyze and explain proteomics data
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for Diabetes and Metabolic Diseases (CDMD), and Center for Computational Biology and Bioinformatics (CCBB). In particularly, the candidate will have the full access to training workshops and pilot grant
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and cancer. Individuals with backgrounds in stem cell biology, cancer biology, molecular biology, immunology, and bioinformatics, are all welcome to apply. Lab techniques include mammalian cell culture
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the global water microbiome, examining the response of microbial communities to contaminants (U, nitrate, pH, Cr) important to the U.S. DOE, designing bioinformatics tools for ‘big data’ analysis, developing
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Bioinformatics, computational analysis is preferable. Excellent communication skills and fluency in spoken and written English. Required Application Materials: Cover letter that describes your research interests
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multi-year appointments. Experience with one or more of the following is a plus: metabolomics, bioinformatics, and/or bacterial genetics. Applications from members of groups historically under-represented