This postdoctoral position is for a scientist to conduct research on genomics, metagenomics, metatranscriptomics, and metaproteomics of microbial communities to understand how symbiotic bacteria influence lipid production by microalgae. We seek a scholar with experience in genome annotation and functional prediction from very large next-generation-sequencing (NGS) data, including competency in a broad range of bioinformatics analysis software, and the ability to program and script in LINUX/UNIX environment (Perl, Python, or C/C++). The postdoc will be part of a collaborative observational, experimental, and modeling team studying the metabolic interaction of heterotrophic bacteria and lipid-producing microalgae and how these interactions control microalgal population resilience to provide a reliable and sustainable source of bioenergy. The project is led by Xavier Mayali and the metabolic modeling component is led by Ali Navid. Patrik D'haeseleer and Carol Zhou are leading the bioinformatics efforts on gene/protein functional prediction.
ESSENTIAL DUTIES- Conduct genome annotation and function prediction across multiple genomes for the needs of the Biofuels Research project.- Perform protein structure and function analyses using advanced structure-based bioinformatics methods in support of research efforts in the Biofuels Research project.- Recommend software solutions for incorporation into existing LLNL framework.- Interact with scientists from LLNL programs to help address their advanced bioinformatics needs.- Work in a collaborative multidisciplinary team environment to accomplish goals.- Document research; publish papers in peer-reviewed journals, and present results within the DOE community and at conferences.