Research Area: Computational Biology, Gene networks, Functional Genomics
Machine learning to understand the mechanisms of gene regulation.
The Giraldez lab combines genomics, computational biology and genetics to identify fundamental processes in biology, gene regulation and developmental biology. We have a strong interest in understanding the molecular mechanisms of developmental transitions in vertebrates using zebrafish and other model systems. Our lab has three computational biologists integrated with experimentalists, providing a wonderful interdisciplinary background and cross training in wet biology.
Projects: Several projects are available for a computational biologist to investigate in one of the following areas: One main project in the lab is to use computational tools to model gene expression and translation integrating the signals from multiple regulatory mechanisms that we have discovered in the lab, including microRNA regulation, RNA binding proteins activity, translation, upstreamORF regulation, and codon mediated regulation. I also encourage creative postdocts to develop new areas of research including gene regulatory networks, chromatin regulation, single cell gene expression analysis, translational regulation, RNA-protein interaction networks and RNA structure in vertebrate development.
Qualifications: Applicants require a strong background of computational biology, python, perl, R and machine learning. Only applicants with these expertise will be considered for this position. Experience in molecular biology or developmental biology is not necessary.
Application: Please send your application as a PDF file including CV, summary and relevance of your current research (500 word max), why you are interested in the giraldez lab (200 word max) and names of three references to: giraldezlab@gmail.com
Include “Computational Biology 2016” in the subject of the email. Only application that provide these materials will be considered. Applications will be considered as they arrive, until the positions are filled.
Website: http://www.yale.edu/giraldezlab