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metabolomics and proteomics in cancer, neurodegenerative diseases, and infectious diseases. Scientific integrity, curiosity, and determination are key qualities of a successful candidate. In particular, under
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-generation sequencing • Familiarity with bioinformatic and biostatistical approaches for the analysis of sequencing and proteomic data • Desire to conduct team-based science in close collaboration with
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mice Integrate key research findings with parallel research efforts of other members of the research team Perform bioinformatic data analysis on large datasets, including RNA sequencing and proteomics
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, Metabolomics and Proteomics, Genomics and Epigenetics, Computational Biology, and Clinical Translation, offering a rich, multi-disciplinary environment for postdoctoral research. Work Performed This is a fully
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alongside leading researchers while honing your skills in molecular cloning, mouse behavior, protein purification, and proteomics. Responsibilities: Perform a variety of complex technical duties involved in
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hypotheses. Experience with a procedural language, proficient in Java, Perl, 'C', web design, DNA genome informatics, proteomics informatics, statistics, and computer science. Experience with relational
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and next-generation sequencing • Familiarity with bioinformatic and biostatistical approaches for the analysis of sequencing and proteomic data • Desire to conduct team-based science in close
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metabolomics and proteomics in cancer, neurodegenerative diseases, and infectious diseases. Scientific integrity, curiosity, and determination are key qualities of a successful candidate. In particular, under
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and biostatistical approaches for the analysis of sequencing and proteomic data Desire to conduct team-based science in close collaboration with clinicians, statisticians, and regulators Excellent
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to support science including biobanking (OneDukeBio), SOM molecular omics cores (GCB sequencing, GCB proteomics, DMPI metabolomics, DMPI molecular genomics), health care informatics (DIHI, AI.health), genomic