Academic

DATA MINING IN GENETIC EPIDEMIOLOGY AND GENE MAPPING

We seek a post-doctoral fellow that will work in the laboratories of Prof. Nelson Freimer and Chiara Sabatti, in the Departments of Human Genetics, Psychiatry, and Statistics at the University of California in Los Angeles, USA.

We have acquired and are in the process of acquiring a series of unprecedented datasets with detailed genotypic and phenotypic information. Structure varies from population cohorts to large extended families, ascertained because of neurobehavioral disorders. The ethnic background is that of homogeneus population isolates. Genotyping is carried out both with microsatellites and SNPs. Phenotypes measured vary from personality assessment to brain imaging. Each dataset is collected to test a specific scientific hypothesis, but leaving ample possibilities for further investigation. Mining these data sets, we will investigate the hereditability of phenotypes, the definition of endophenotypes, the presence of clusters among phenotypes, and their mapping to locations in the genome. Competence in either genetic epidemiology and statistical genetics, or data mining, statistical learning in high dimensions are desirable strengths in the candidate. The expected duration of this position, funded by NIH, is two years.

Candidates should send a CV (with publication list), a research statement, any unpublished manuscripts, and three references to Nelson Freimer (NFreimer@mednet.ucla.edu) or Chiara Sabatti (csabatti@mednet.ucla.edu).