We are seeking a motivated postdoctoral candidate with strong computational and bioinformatics skills and an interest in applying integrative genomics and systems biology approaches to understand the pathogenesis of complex human diseases. 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 bioinformatics 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.
- Ph.D. or equivalent in systems biology, bioinformatics, computational biology, statistical genetics, computer science, or other relevant areas
- Strong computational, programming, bioinformatics, and statistical analysis skills
- Strong publication record
- Self-motivated and independent
- Proficiency/familiarity with R/Bioconductor, Linux, object-oritented programming, and relational databases (MySQL, Microsoft SQL , etc) preferred.
- Experience with high throughput datasets such as next-generation sequencing, microarray gene expression, genotyping, and/or DNA methylation data preferred
Nature Jobs - 2 years ago