Job ID: 83672
Job date: 2017-05-03
End Date:
Company : Lawrence Berkeley National Laboratory Country : Role : Technician
Job date: 2017-05-03
End Date:
Company : Lawrence Berkeley National Laboratory Country : Role : Technician
Job Description:
Berkeley Lab’s Joint Genome Institute JGI Division has an opening for a Systems Analyst 3. Under broad supervision, you will serve as a Systems Analyst 3 to provide computational analyses of large-scale genomics datasets in support of internal R&D projects and JGI user community science projects. You will design and implement state of the art computational workflows for analysis of diverse genomic datasets, including those from resequencing, transcriptomics and epigenomics projects. You will also use in-depth knowledge of genome biology to provide input on experiment design for new high-throughput molecular biology and DNA sequencing approaches, and perform analysis of resulting data. You will work on the development of new approaches for integration of diverse data types (e.g. transcriptome and epigenome or metabolome datasets). You will exercise independent judgment in determining the appropriate methods and approaches for analyzing complex datasets. You will have a significant role in interpreting results and defining their technical and biological significance. You will communicate with JGI and external scientists at all stages of analyses, and facilitate transfer of data and tools. May train and supervise other group members. In this position you will report to the user support analysis group lead. What You Will Do: -Perform computational analysis of diverse genomic datasets in support of internal R&D projects, and JGI user community science projects. -Provide custom analysis support for technology development in genomics, transcriptomics and epigenomics. -Develop computational approaches for comparative analysis of genomics datasets. -Develop computational approaches for integration of diverse data types (e.g. transcriptome and epigenome, transcriptome and metabolome). -Derive technical and biological insights from analyzed results, and communicate clearly with collaborators. -Work with production informatics to facilitate automation of frequently used analysis workflows. -Provide high quality professional reports on performed data analysis. -Present technical and analytical status in weekly meetings. -Follow prescribed practices for software version control, testing, and release engineering. -Communicate with internal and external collaborators/scientists at all stages of analysis projects. Additional Responsibilities as needed: -Stay current with new emerging sequencing technologies. -Contribute to publications on sequenced genomes, developed tools, and approaches What is Required: -Bachelor’s degree in Biology, Bioinformatics, Computer Science or related field with a minimum of 4 -5 years of related work experience, or an equivalent combination of education and experience. Advanced degree (Masters/PhD) preferred. -Extensive experience programming Python, Perl, R, C/C++, Java or similar in a Unix environment -Strong background in genome biology and bioinformatics. -Good understanding of molecular biology and genomic technologies -Broad knowledge of molecular biology techniques underlying DNA sequencing and analysis. -Strong decision-making skills to independently make sound judgments and recommend creative solutions to complex problems, while addressing user needs in an effective and timely manner. -Strong analytical, organizational, and record-keeping skills with attention to detail; ability to collect, record, and analyze complex and varied experimental data accurately. -Strong communication and interpersonal skills with internal and external staff, users and collaborators. Excellent public-speaking and presentation skills. -Proven ability to work on multiple projects with varying priorities while meeting tight deadlines. Additional Desired Qualifications: -Experience with SQL, Oracle, MySQL or other RDBMs. -Experience with statistical data analysis using R/Matlab. -Experience in a multidisciplinary scientific or production environment. -Experience in large-scale data analysis and parallel computing. -Experience with laboratory molecular biology and DNA sequencing technologies.
Additional Info:
Berkeley Lab (LBNL) addresses the world’s most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab’s scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy’s Office of Science. The posting shall remain open until the position is filled, however for full consideration, please apply by close of business on May 17, 2017. Notes: -This is a full time 1 year term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. -Full-time, M-F, exempt (monthly paid) from overtime pay. -Salary is commensurate with experience. -This position is contingent on the successful completion of a background check. -Work will be primarily performed at DOE Joint Genome Institute (JGI) — 2800 Mitchell Dr., Walnut Creek, CA. Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here to view the poster and supplement: "Equal Employment Opportunity is the Law." [Click Here to Access the Original Job Post]
Berkeley Lab’s Joint Genome Institute JGI Division has an opening for a Systems Analyst 3. Under broad supervision, you will serve as a Systems Analyst 3 to provide computational analyses of large-scale genomics datasets in support of internal R&D projects and JGI user community science projects. You will design and implement state of the art computational workflows for analysis of diverse genomic datasets, including those from resequencing, transcriptomics and epigenomics projects. You will also use in-depth knowledge of genome biology to provide input on experiment design for new high-throughput molecular biology and DNA sequencing approaches, and perform analysis of resulting data. You will work on the development of new approaches for integration of diverse data types (e.g. transcriptome and epigenome or metabolome datasets). You will exercise independent judgment in determining the appropriate methods and approaches for analyzing complex datasets. You will have a significant role in interpreting results and defining their technical and biological significance. You will communicate with JGI and external scientists at all stages of analyses, and facilitate transfer of data and tools. May train and supervise other group members. In this position you will report to the user support analysis group lead. What You Will Do: -Perform computational analysis of diverse genomic datasets in support of internal R&D projects, and JGI user community science projects. -Provide custom analysis support for technology development in genomics, transcriptomics and epigenomics. -Develop computational approaches for comparative analysis of genomics datasets. -Develop computational approaches for integration of diverse data types (e.g. transcriptome and epigenome, transcriptome and metabolome). -Derive technical and biological insights from analyzed results, and communicate clearly with collaborators. -Work with production informatics to facilitate automation of frequently used analysis workflows. -Provide high quality professional reports on performed data analysis. -Present technical and analytical status in weekly meetings. -Follow prescribed practices for software version control, testing, and release engineering. -Communicate with internal and external collaborators/scientists at all stages of analysis projects. Additional Responsibilities as needed: -Stay current with new emerging sequencing technologies. -Contribute to publications on sequenced genomes, developed tools, and approaches What is Required: -Bachelor’s degree in Biology, Bioinformatics, Computer Science or related field with a minimum of 4 -5 years of related work experience, or an equivalent combination of education and experience. Advanced degree (Masters/PhD) preferred. -Extensive experience programming Python, Perl, R, C/C++, Java or similar in a Unix environment -Strong background in genome biology and bioinformatics. -Good understanding of molecular biology and genomic technologies -Broad knowledge of molecular biology techniques underlying DNA sequencing and analysis. -Strong decision-making skills to independently make sound judgments and recommend creative solutions to complex problems, while addressing user needs in an effective and timely manner. -Strong analytical, organizational, and record-keeping skills with attention to detail; ability to collect, record, and analyze complex and varied experimental data accurately. -Strong communication and interpersonal skills with internal and external staff, users and collaborators. Excellent public-speaking and presentation skills. -Proven ability to work on multiple projects with varying priorities while meeting tight deadlines. Additional Desired Qualifications: -Experience with SQL, Oracle, MySQL or other RDBMs. -Experience with statistical data analysis using R/Matlab. -Experience in a multidisciplinary scientific or production environment. -Experience in large-scale data analysis and parallel computing. -Experience with laboratory molecular biology and DNA sequencing technologies.
Requeriments :
Skills :
- Biology
- DNA sequencing
- genomic
- Lunix/Unix
- molecular biology
- MySQL
- Parallel Computing
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in Matlab
- Programming in PERL
- Programming in R
- SQL
Areas :
Additional Info:
Berkeley Lab (LBNL) addresses the world’s most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab’s scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy’s Office of Science. The posting shall remain open until the position is filled, however for full consideration, please apply by close of business on May 17, 2017. Notes: -This is a full time 1 year term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. -Full-time, M-F, exempt (monthly paid) from overtime pay. -Salary is commensurate with experience. -This position is contingent on the successful completion of a background check. -Work will be primarily performed at DOE Joint Genome Institute (JGI) — 2800 Mitchell Dr., Walnut Creek, CA. Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here to view the poster and supplement: "Equal Employment Opportunity is the Law." [Click Here to Access the Original Job Post]