| Employer: |
UCLA |
| Job Number: |
4015422 |
| Date Posted: |
01/07/2015 |
| Application Deadline: |
Open Until Filled |
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Job Description
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.
Desired skills and experience
-- 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
About the employer
-- UCLA is consistently placed among the top universities in the world for academics, research and community impact by the most prominent rankings organizations
-- The NIH-, AHA-, and industry-funded lab is in the Department of Integrative Biology and Physiology at UCLA, Los Angeles, California, USA
-- Unique interdisciplinary setting with combination of computational and experimental laboratories, which allows close interactions between computational scientists and bench biologists and facilitates broadening of research scope and skill sets
-- Collaborative research involving national and international collaborators and consortia to deliver high impact studies with broad and significant impact
-- Tailored training to enable achievement of individual career development goals
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