Function-driven Metagenomics 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 Computational Biologist Postdoctoral Fellow with a strong background in stable isotope probing (SIP) and computational biology to design, benchmark, and apply bioinformatics and statistical tools to enable analysis and interpretation of metagenome data generated from SIP experiments.
Computational Biologist Postdoctoral Fellow
The application of stable isotope probing (SIP) provides a means to expand the toolkit of sequence-to-function approaches for uncultivated microbial taxa. The Computational Biologist Postdoctoral Fellow will develop a new SIP-metagenomics computational workflow for the quantitative analysis of microbial groups actively assimilating isotopically-labeled compounds. The successful candidate will be expected to work independently, as well as contribute as a member of a dynamic, multidisciplinary team of biologists, bioinformaticians, computer scientists, and software developers. The successful candidate will report directly to the Metagenome Program Head, but will work closely with the Microscale Applications Group Lead and production and scientific staff in the Prokaryote Super Program.
Qualifications:
- Recent Ph.D. (within the last 4 years) in microbiology, bioinformatics, statistics or a related discipline
- Experience in stable isotope probing (SIP) and associated data analysis 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
- Experience in a scripting language (Perl, Python) is a must, knowledge of Unix tools, relational databases and R is desirable
- Ability to troubleshoot complex systems and data analysis problems
- Demonstrated ability to conduct and perform collaborative research and effectively interact with a broad range of colleagues with tact and diplomacy
- Excellent organizational, analytical, and record-keeping skills with the ability to organize and present technical reports to collaborators, JGI staff, management, and sponsors
- Demonstrated ability to accurately and eloquently represent and promote scientific projects to audiences of diverse technical backgrounds
- Ability to independently carry out high-quality research with tenacity and creativity
How to Apply: Interested applicants should apply online
https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=85791
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