BACKGROUND:
We are looking for two exceptional postdoctoral researchers to join the recently estab­lished Microbial Systems Division (http://www.llnl.gov/bio/microbial_systems) within the Biosciences Directorate at the Lawrence Livermore National Laboratory.

The research will focus on developing novel com­putational tools for comparative meta-genomics and analysis of regula­tory mechanisms across a wide range of microbial species. The long-term end goal is to achieve a predictive under­stand­ing of geno­type-to-phenotype mapping of isolated species as well as micro­bial communities, with a specific interest in the metabolic capabilities of such com­munities.

This new effort will be able to draw on a wide range of existing LLNL resources and expertise in areas such as high throughput sequencing, microbial genomics, proteomics, bioinformatics, world-class computational facilities, as well as a longstanding history of interdisciplinary research.

RESPONSIBILITIES

The successful candidates will work as part of a com­puta­tional and systems biology team, and will have the opportu­nity to interact with molecular bio­logists, geneticists, bio­chemists, geochemists, engi­neers, physicists, computer scientists, etc. Candi­dates should have a strong commitment to collabo­rative research, but will also have the opportunity to pursue independent research activities.

REQUIREMENTS/PREFERENCES

The "ideal" candidate would have a published track record in bioinformatics, computational biology, or machine learning techniques; strong computa­tional modeling/analysis skills (linear algebra, factor analysis, Bayesian methods, pattern discovery, etc.), a solid grasp of statistics; familiarity with comparative genomics (and other â??omicsâ??), molecular biology, metabolism, and gene regulation; and hands-on experi­ence with gene expression data, genomic databases and tools.

LOCALE

Lawrence Livermore National Laboratory, Livermore, CA, USA
(California Bay Area)

COMPENSATION

Competitive salary, excellent benefits (part of University of California system).

HOW TO APPLY

please visit LLNL's jobs website at http://jobs.llnl.gov (job #004065 and #004067), AND send a CV and research statement to Dr. Patrik D'haeseleer at patrikd[at]llnl.gov. Feel free to include reprints/preprints of relevant papers.