Postdoctoral Fellow in Systems Biology and Integrative Genomics of Metabolic Diseases

We are seeking a motivated postdoctoral candidate with strong computational and analytical skills and an interest in applying integrative genomics and systems biology approaches to understand the pathogenesis of complex human metabolic disorders. Our research involves the integration of genetics, gene expression, epigenomics, phenotypic data to identify causal molecular alterations and the subsequently perturbed molecular networks that contribute to the development of obesity, diabetes, and cardiovascular diseases.  The successful candidate will need a strong computational and/or statistical background  and work closely with molecular biologists to dissect and interpret the complex relationships among genetic, genomic, epigenomic, and phenotypic data generated from population-based studies in human and model organisms.

 Qualifications:
    --Ph.D. or equivalent in systems biology, bioinformatics, computational biology,  statistical genetics, computer science, electrical engineering, or other relevant areas
    --Strong computational programming and statistical analysis skills
    --Strong publication  record
    --Self-motivated and independent
    --Experience in genetic and genomic analysis of human diseases preferred

To apply, please send a copy of your detailed CV, research interests, and names and contact info of three references to Dr. Xia Yang at xyang123ucla.edu.