Bioinformaticist Postdoc Fellow - Subsurface Microbiology - 77352

Organization: 
Joint Genomic Institute
Job Location: 
Houston, TX
Job Description: 

Bioinformaticist Postdoc Fellow - Subsurface Microbiology - 77352
Organization: GN-Genomics
Location: Houston, TX

The Department of Energy Joint Genome Institute- DOE JGI (a division of the Lawrence Berkeley National Lab) has an exciting Postdoctoral Research opportunity available for a Bioinformaticist Postdoc, to join a two-year collaborative project between JGI and Shell’s R&D division.

The Postdoctoral Bioinfomatician will join the Biodomain team based at the new R&D facilities in Houston, TX and will be supporting Shell’s internal R&D programs on subsurface microbiology, but is also expected to spend about one month every year at the JGI in Walnut Creek, CA.

Will directly leverage JGI computational resources and will participate in the comparative analysis of microbial genomic and metagenomics datasets that will be generated from Shell. This position involves working in close collaboration with the lab scientists, as well as external academic collaborations, to integrate and interpret biological data from a variety of hydrocarbon environments. May also perform statistical modeling and pattern recognition to improve data quality. The Postdoctoral Bioinfomatician role requires a Ph.D. in Bioinformatics, Computational Biology or Biostatistics, underpinned by experience in a computational biology setting. Ideally with a grasp of data integration, microbial profiling, and biological network inference, you’ll also need strong programming skills, together with experience in a Unix/Linux environment.

Essential skills and qualifications:
• PhD in Bioinformatics, Computational Biology, Biostatistics or a related discipline.
• Proven experience in Next Generation Sequencing data analysis (e.g. amplicons, whole metagenomes, RNA-seq, comparative bacterial genomics) generated by multiple platforms, including Illumina, Roche 454 & Ion Torrent.
• Proven ability to build, support and execute pipelines for the analysis and interpretation of high throughput sequencing data.
• Experience in developing software applications and enhancing existing data analysis tools for (meta)genomics data analysis, including next-generation sequencing platforms.
• Proficient in one or more programming languages (e.g. Perl, Python, R, Java, etc.).
• Competent working in a Linux/Unix environment.
• Sound knowledge of genetics and molecular biology.
• Demonstrated experience with database programming and interfaces (e.g. MySQL or Oracle).
• Demonstrated ability to work in multi-disciplinary teams, displaying excellent interpersonal skills.
• Good organizational and communication skills; the ability to liaise with scientists and external collaborators at all levels

Desirable skills and qualifications:
• Experience with high performance and/or parallel computing.
• Ability to navigate and design IT systems for efficient data management.
• Ability to evaluate novel NGS sequencing methodologies/new technologies & data analysis software, as well as other advances in metagenomics and metatranscriptomic technologies.
• Experience with classification and machine learning methods.

Berkeley Lab is an Affirmative Action/Equal Employment Opportunity employer committed to the development of a safe and diverse workforce.

Contact Information: 

How To Apply
Apply directly online at http://bit.ly/lbl77352Genomeweb and follow the on-line instructions to complete the application process.