Sponsor: Rubicon Genomics
Recording Date: 2/19/2014
Recording Time: 1 hour
Computational Biologist Postdoc Fellow - Microbe Functional Genomics - 75232
The DOE Joint Genome Institute (JGI) in Walnut Creek, CA (a division of the Lawrence Berkeley National Lab) has an exciting Computational Biologist Postdoctoral Researcher position available. The selected candidate will join the ‘Functional Encyclopedia of Bacteria and Archaea’ (FEBA) project, a highly collaborative new project that is developing novel experimental and computational approaches for high throughput assignment of function to the large number of currently ‘unknown’ genes identified in genome sequencing projects. Specifically, we are combining bacterial mutagenesis, high throughput growth assays and high throughput sequencing to uncover novel gene functions from dozens of diverse bacteria, with an emphasis on those with important roles in bioenergy, carbon cycling, and bioremediation. The postdoc will work on the primary computational analysis of hundreds of high throughput sequencing experiments. These include RNA-seq experiments for novel gene discovery, and Tn-Seq experiments (sequencing of transposon mutant populations grown under a variety of growth conditions) for probing gene function. This is a highly collaborative position requiring the postdoc to work effectively with scientists across contributing research group to assist in biological interpretation of the data, preparation of data for public databases, and to ensure the efficient progression of the project. The candidate will also explore related experimental and computational approaches for the functional annotation of genomes.
Specific Job Duties
• Collect and organize sequencing data from functional genomics experiments.
• Implement and run software for analyzing collected data (QC, read mapping, counting etc).
• Store and organize results for presentation and viewing by FEBA project collaborators.
• Interact with internal and external collaborators to ensure efficient communication and completion of experiments.
• Work with collaborators to develop systems for storage and presentation of data in public repositories.
• Explore related experimental and computational approaches for the functional annotation of genomes
• Attend and present technical status reports at group meetings.
• Ph.D. in life sciences or bioinformatics with emphasis on high throughput sequencing and analysis.
• Experience with: development of computational methods and algorithms, databases of genomic information, methods of analysis and visualization of biological sequence data.
• Proficiency with the PERL or Python programming language in a UNIX/LINUX environment.
• Strong organizational and record keeping skills to record experiment results and analyze data.
• Effective oral and written communication skills to present findings at group meetings and conferences and publish results.
• Ability to interact with a variety of technical and scientific personnel including Research Associates, Scientists and Software Engineers.
• Experience utilizing highly parallel computing systems such as sun grid engine (SGE).
Berkeley Lab is an Affirmative Action/Equal Employment Opportunity employer committed to the development of a diverse workforce.
How To Apply
Apply directly online at http://bit.ly/lbl75232Genomeweb and follow the instructions to complete the application process.