The successful candidate will receive training in analyses of single-cell and bulk-tissue multi-omics data and be expected to participate in multiple projects involving design, implementation and integration of large-scale datasets and data processing pipelines.Analyzes single cell RNA-Sequencing, single cell ATAC-Seq, CITE-Seq, as well as bulk RNA-Seq, Proteomics, Metabolomics, and Lipidomics datasets, generated from brains of HIV patient cohorts with rich clinical data.
Conducts advanced modeling of cognitive ability scores using approaches that include generalized linear models and deep learning. No experience required.Experience in epigenetics or gene regulation is a plus, and experience with statistical analysis tools such as R or Python is recommended . Candidates must have a Ph.D. in Computer Science, Bioinformatics, or biology, as well as a strong background in statistics, and familiarity with large data sets such as proteomics or sequencing.Excellent communication skills is a plus.Share this job
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