Nashville, TN, USA
Description:
We are seeking a motivated Postdoctoral Fellow to join the Computational Genetics and Genomics lab at Vanderbilt Genetics Institute to work on projects funded by NIH R01 grants, focusing on Alzheimer’s disease (AD). The projects are to understand the genetic mechanisms of AD using cutting-edge genomics approaches in iPSC models, and design and analyze multi-omics data in patient-derived iPSC lines for drug development for AD. The Fellow will be responsible for analyzing multi-omics data (e.g. single-cell RNAseq and epigenomics data) generated in iPSC lines, and have opportunities to develop novel statistical models for analyzing such data for drug repurposing. The projects are highly interdisciplinary and collaborative, involving genetics, genomics and electronic health records (EHR) data. The Fellow has training opportunities in one or multiple of these highly inter-connected areas that altogether have unique advantages in advancing the understanding of AD and therapeutics.
Qualifications/Preferred Skillsets:
The applicants should have a Ph.D. or equivalent degree with training in one of the following areas: bioinformatics, computational biology, neuroscience, or other disciplines with relevant background. Programming experience in statistical program R and scripting languages such as Python/Perl on Unix/Linux systems is expected.
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Application Address: Interested applicants should email the following materials to Dr. Bingshan Li: bingshan.li@vanderbilt.edu: A cover letter; A statement of research interest; Curriculum Vitae; Contact information of three references.