The Zoghbi lab is seeking a postdoctoral research fellow to lead projects at the forefront of neuropsychiatric genomics, transcriptomics, and proteomics.
The Zoghbi lab is leading several large scale initiatives to understand the genomic basis of schizophrenia, OCD, and neurodevelopmental disorders providing opportunities to conduct large scale common and rare variant GWAS/ExWAS. We are also developing novel machine learning methods to improve risk gene prediction and variant interpretation. This role will focus on the analysis of large-scale human genetics, scRNAseq, and proteomics datasets.
Performs integrative analyses of other molecular and omics data, such as gene expression data, metabolomics and/or proteomics.Creates analytical algorithms and tools to address scientific questions with big data.MD or Ph.D. in Basic Science, Health Science, or a related field.PhD in Computational Biology, Genomics, Bioinformatics, or a related field .Strong programming skills in Python/R.Experience working with next-generation sequencing data.
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