Harnessing Microbiome Data Science for Energy and the Environment
The mission of the U.S. Department of Energy Joint Genome Institute (DOE JGI) is to advance genomics in support of the DOE missions related to energy and the environmental. Located in Walnut Creek, California, the DOE JGI is operated by the University of California for the U.S. Department of Energy and the facility provides integrated high-throughput DNA sequencing, synthesis and computational analysis that enable systems-based scientific approaches to these challenges (http://jgi.doe.gov).
The DOE JGI has an exciting opportunity available for a talented, highly motivated Project Scientist to support a newly funded Berkeley Lab Directed Research grant.
Metagenomics Project Scientist
Large-scale mining of shotgun metagenome data has illuminated biogeographic patterns of microbial and viral players globally, and greatly expanded the phylogenetic breadth of uncultivated microbial lineages in the tree of life. The Metagenomics Project Scientist will be expected to lead a newly funded grant to construct a reference catalogue of single-copy marker genes from microbial isolate genomes, single-cell genomes and metagenomes and perform large-scale quantitative comparative metagenomic analyses. The successful candidate will work as part of a large multidisciplinary team of biologists, computer scientists, software developers and postdoctoral researchers.
- Ph.D. in microbiology, molecular biology, biochemistry or a related discipline
- Experience in analysis of microbial genomes and metagenomes is essential with a proven track record in this area reflected in recent or pending publications
- Substantial knowledge and understanding of bioinformatics tools for sequence similarity search, multiple sequence alignment, profile search, clustering and phylogenetic analyses using ribosomal genes and conserved marker genes is required
- Significant experience in methods and tools for next-generation sequencing, metagenome assembly and binning, and genome reconstruction
- Excellent written and oral communication skills
- Ability to independently carry out high-quality research with tenacity and creativity
- Strong understanding in a scripting language (Perl, Python) is a must, knowledge of Unix tools, relational databases and R
- Good knowledge of tools for microbial ecology studies
- Experience in or familiarity with statistical analysis
How to Apply: Interested applicants should apply online