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 environment. Located in Walnut Creek, California, the DOE JGI provides integrated high-throughput DNA sequencing, synthesis, and computational analysis that enables systems-based scientific approaches to challenges in the environmental sciences (http://jgi.doe.gov).
The DOE JGI has an exciting opportunity available for a talented, highly motivated Metagenome Data Scientist to support a broad portfolio of metagenome projects, including user science through the CSP and FICUS programs.
Metagenome Data 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 Metagenome Data Scientist will be expected to develop and apply computational tools for data handling, analysis, and visualization for comparative analysis of genomes and metagenomes. The successful candidate will work as part of a dynamic, multidisciplinary team of biologists, computer scientists, software developers, and postdoctoral researchers.
Qualifications:
- Bachelor’s degree in Bioinformatics, Computational Biology, Computer Science, or related field with a minimum of five years of work experience, or an equivalent combination of education and experience. Advanced degree (MS / Ph.D.) preferred.
- Demonstrated expertise processing large volumes of data, genome and metagenome data analysis, and comparative metagenomics
- Able to program in Python, Perl, Java, and read/decipher C/C++
- Familiar with advanced UNIX utilities and shell programming
- Familiar with existing bioinformatics databases, tools, and best practices
- Experience and skill in preparing research publications
- Ability to troubleshoot complex systems and data analysis problems
- Ability to contribute to the development of multiple projects/pipelines
- Understanding of sequencing analysis methods (assembly, gene calling, functional annotation)
- Strong problem-solving, decision-making, and analytical skills to make sound judgments and recommend creative solutions to moderately complex problems
- Strong interpersonal skills with the ability work independently and as a team member in a diverse team environment
- Ability to organize and present reports to collaborators, JGI staff, management, and sponsors
How to Apply: Interested applicants should apply online
https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=85825
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