RESPONSIBILITIES

This position is a postdoctoral research appointment responsible for several computational projects related to the SCOP and ASTRAL databases. The incumbent will help design and build the next generation of SCOP and ASTRAL. These resources provide carefully curated standards that are widely used by biologists to explore remote homologs of proteins of interest, and by computational biologists as a "gold standard" for benchmarking prediction algorithms. SCOP and ASTRAL are a critical resource for such studies: together, they have thousands of citations and tens of thousands of users. However, neither database has changed its basic design since early releases---more than 15 years ago in the case of SCOP.

Both databases must be redesigned to account for aspects of protein evolution that were not appreciated at the project's inception, such as metamorphic proteins and homologous proteins that have evolved different folds. To address bottlenecks in the curation process, machine learning-based algorithms must be developed in order to automatically and reliably classify newly solved structures in the SCOP hierarchy. Work will be done in close collaboration with the SCOP curators, Alexey Murzin's group at the MRC Laboratory of Molecular Biology in Cambridge, UK, and with Steven Brenner's computational biology lab at University of California, Berkeley. The redesigned and integrated databases will provide a revitalized foundation for future studies of protein structure and evolution.

HOW TO APPLY

For immediate consideration, please click on the link below to be redirected to the lab website then follow the online instructions to apply. As part of the online application process, please submit a single attachment that includes both your resume and a cover letter. Please be sure to reference where you found out about the position.

https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=73669

RESPONSIBILITIES

HOW TO APPLY

POLICY