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perform unbiased and amplicon sequencing. process and interpret data sets generated through sequencing. prepare data for scientific presentation (i.e. abstracts, posters, presentations and papers). Mentor(s
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. Among the methods used are high-throughput CRISPR screening, protein deep mutational scanning, massively parallel reporter assays, and genetic manipulation of cell lines and mice. The successful candidate
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— from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting time for
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the age of 21 will have some driving restrictions. Ph.D. or other terminal degree in the field of Computational and Quantitative Biology and Bioinformatics, and/or Ecology, Evolutionary Biology
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spectrometry-based metabolomics and/or stable isotope tracing Familiarity or interest in cardiovascular biology, mitochondrial metabolism, systems biology, or bioinformatics/data analysis Enthusiasm
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population genetics, bioinformatics, computational biology, statistics or probabilistic machine learning and computer science. Experience of working with large genotyping or sequencing data sets A proven
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are a skilled and enthusiastic R programmer with a strong background in bioinformatics or computational statistics, capable of maintaining and extending complex software packages while collaborating
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and/or neutrophil biology. Proficiency in analyzing large-scale single-cell RNA sequencing datasets. Experience with R programming and familiarity with relevant bioinformatics packages (e.g., Seurat
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on large-scale consortium datasets and the EHR-linked Vanderbilt Biobank (BioVU). He/she will work in a team environment. He/she will apply existing genetics, statistics, and bioinformatics tools. A primary
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resulting from this researc.h Who You Are: Ph.D. in Computational Biology, Bioinformatics, Human Genetics, Biostatistics, Computer Science or related field. Demonstrated proficiency with R or Python