We are seeking a motivated postdoctoral candidate with strong computational and analytical skills and an interest in applying computational 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 statistical background with demonstrated track record of method development in computational biology and bioinformatics. He/she will develop novel approaches to integrate diverse genomic, epigenomic, and phenotypic data generated from population-based studies in human and model organisms, and intersect with wet lab biologists to dissect the complex biology of metabolic diseases.

Application:

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• Ph.D. or equivalent in computational biology, bioinformatics, systems 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
• Proficiency with R/Bioconductor, Linux, object-oriented programming, and relational databases (MySQL, Microsoft SQL, etc) preferred.
• Experience in network biology and data integration preferred
• Experience with analysis of high throughput datasets such as next-generation sequencing, gene expression arrays, genotyping, and DNA methylation data preferred  

Application information: Send your application including cover letter to:

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