Job ID: 6049
Job date: 2016-10-06
End Date:
Company : Lawrence Berkeley National Laboratory Country : Role : Postdoc
Job date: 2016-10-06
End Date:
Company : Lawrence Berkeley National Laboratory Country : Role : Postdoc
Job Description:
The Joint Genome Institute (JGI) has an exciting opportunity available for a Computational Biologist Postdoctoral Fellow to participate in ongoing research in the Viral Dark Matter project. We are looking for a talented, highly motivated candidate with a strong background in microbiology, virology, host-virus interactions, metagenomics. computational biology and bioinformatics to join The successful candidate will be expected to perform viral genomics research, with a strong emphasis on DNA/RNA viral discovery from metagenomics & metatranscriptomic data. The candidate will work as part of the Prokaryotic Super Program and is expected to work independently, as well as contribute as a member of a dynamic, multidisciplinary team of biologists, bioinformaticians, computer scientists and software developers. Position reports to the Prokaryotic Program head.
JGI has been instrumental in driving the characterization of Earth’s Virome towards a better understanding of its role in regulating microbial communities 1 .
Specific Responsibilities:
Analyze sequence datasets resulting from genomics, metagenomics and metatranscriptomics
Perform large scale analysis of viral genome sequence data, analyze metagenomics sequences, and perform comparative analyses
Identify and analyze CRISPR elements from all isolate genome and metagenomes, and compare these data with viral genome sequences
Contribute to research in the Viral Dark Matter project as part of a large multidisciplinary team
Utilize scripting language(s) and apply standard bioinformatics tools and pipelines for the analysis of genomic and metagenomic data
Work in a high-performance computing environment and interact with a team of computer scientists, software developers and postdoctoral researchers to develop new methods and tools for large-scale metagenome data analysis
Perform comparative analysis across hundreds of metagenomic data and billions of genes
Develop statistical methods to compare different samples/communities
Prepare research results for publication and for presentations at scientific meetings
Additional Desired Responsibilities:
Provide general support to the prokaryotic super program
Required Qualifications:
Recent Ph.D. (within the last 4 years) in microbiology, virology, molecular biology, biochemistry or a related discipline
Experience in analysis of microbial/viral 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
Experience in a scripting language (Perl, Python) is a must, knowledge of Unix tools, relational databases and R is desirable
Excellent written and oral communication skills
Ability to independently carry out high-quality research with tenacity and creativity
Additional Desired Qualifications:
Good knowledge of tools for microbial ecology studies
Experience in or familiarity with statistical analysis
The posting shall remain open until the position is filled.
Notes:
This is a 2 year postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 of years paid postdoctoral experience.
Salary for postdoctoral positions depends on years of experience post-degree.
Salary will be predetermined based on postdoctoral step rates.
This position is contingent on the successful completion of a background check.
Work will be primarily performed at: 2800 Mitchell Dr., Walnut Creek, CA
Berkeley Lab understands the postdoctoral experience in a research environment is unique. We are committed to the growth and development of early career researchers in pursuit of becoming next generation scientists and engineers. Read about the excellent postdoctoral benefit s at Berkeley Lab.
Additional Info:
[Click Here to Access the Original Job Post]
The Joint Genome Institute (JGI) has an exciting opportunity available for a Computational Biologist Postdoctoral Fellow to participate in ongoing research in the Viral Dark Matter project. We are looking for a talented, highly motivated candidate with a strong background in microbiology, virology, host-virus interactions, metagenomics. computational biology and bioinformatics to join The successful candidate will be expected to perform viral genomics research, with a strong emphasis on DNA/RNA viral discovery from metagenomics & metatranscriptomic data. The candidate will work as part of the Prokaryotic Super Program and is expected to work independently, as well as contribute as a member of a dynamic, multidisciplinary team of biologists, bioinformaticians, computer scientists and software developers. Position reports to the Prokaryotic Program head.
JGI has been instrumental in driving the characterization of Earth’s Virome towards a better understanding of its role in regulating microbial communities 1 .
Specific Responsibilities:
Analyze sequence datasets resulting from genomics, metagenomics and metatranscriptomics
Perform large scale analysis of viral genome sequence data, analyze metagenomics sequences, and perform comparative analyses
Identify and analyze CRISPR elements from all isolate genome and metagenomes, and compare these data with viral genome sequences
Contribute to research in the Viral Dark Matter project as part of a large multidisciplinary team
Utilize scripting language(s) and apply standard bioinformatics tools and pipelines for the analysis of genomic and metagenomic data
Work in a high-performance computing environment and interact with a team of computer scientists, software developers and postdoctoral researchers to develop new methods and tools for large-scale metagenome data analysis
Perform comparative analysis across hundreds of metagenomic data and billions of genes
Develop statistical methods to compare different samples/communities
Prepare research results for publication and for presentations at scientific meetings
Additional Desired Responsibilities:
Provide general support to the prokaryotic super program
Required Qualifications:
Recent Ph.D. (within the last 4 years) in microbiology, virology, molecular biology, biochemistry or a related discipline
Experience in analysis of microbial/viral 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
Experience in a scripting language (Perl, Python) is a must, knowledge of Unix tools, relational databases and R is desirable
Excellent written and oral communication skills
Ability to independently carry out high-quality research with tenacity and creativity
Additional Desired Qualifications:
Good knowledge of tools for microbial ecology studies
Experience in or familiarity with statistical analysis
The posting shall remain open until the position is filled.
Notes:
This is a 2 year postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 of years paid postdoctoral experience.
Salary for postdoctoral positions depends on years of experience post-degree.
Salary will be predetermined based on postdoctoral step rates.
This position is contingent on the successful completion of a background check.
Work will be primarily performed at: 2800 Mitchell Dr., Walnut Creek, CA
Berkeley Lab understands the postdoctoral experience in a research environment is unique. We are committed to the growth and development of early career researchers in pursuit of becoming next generation scientists and engineers. Read about the excellent postdoctoral benefit s at Berkeley Lab.
Requeriments :
Skills :
- Bioinformatics
- Biology
- Computational Biology
- Genome Assembly
- Programing in Python
- Programing Skills
- Programming in PERL
- Programming in R
Areas :
Additional Info:
[Click Here to Access the Original Job Post]