Job ID: 5421
Job date: 2016-04-16
End Date:
Company : Lawrence Berkeley National Laboratory Country : Role : Research Scientist
Job date: 2016-04-16
End Date:
Company : Lawrence Berkeley National Laboratory Country : Role : Research Scientist
Job Description:
Berkeley Lab is Bringing Science Solutions to the World, and YOU can be a part of it!
In the world of science, Lawrence Berkeley National Laboratory (Berkeley Lab) is synonymous with "excellence." That's why we hire the best - whether in research, finance or other operations. This is a great opportunity to bring your top-notch skills to bear in support of world-class scientific research that addresses national and global challenges!
Position Summary:
Berkeley Lab’s Computational Research Division (CRD) has an opening for a Bioinformatics Data Engineer to analyze existing extreme scale workflows and develop scalable techniques for the creation of workflows for bioinformatics and neuroscience.
The Computer Architecture Group is interested in the analysis and creation of scalable, real-time systems capable of integrating the multimodal data generated as part of complex, extreme-scale scientific workflows. There is a need for a holistic solution that addresses the major use cases for a lab’s data analysis needs, defining a workflow starting from when experimental data is recorded on disk to generating figures for a paper. This research will span all levels in the workflows – from application tailored computing, such as FPGAs to HPC ready algorithms and techniques.
Specific Responsibilities:
Application of classification, sorting, and filtering techniques to reduce the volume in the incoming streams of data as well as the addition of metadata for later analysis
Development of data analysis frameworks for accessing, annotation, iteration of the recorded data
Scalable solutions capable of running both on a single laptop / workstation to a production HPC environment for execution of optimization algorithms or other advanced data analysis routines
Profile existing and future individual workflow elements to determine characteristics such as data access patterns and transfer requirements or computational needs.
Work closely with the Joint Genome Institute (JGI) and UCSF to develop new scalable workflows as well as analyze and optimize existing workflows.
Required Qualifications:
Bachelor’s degree in a Natural Science field with an emphasis on mathematics and/or computer science and/or a minimum of 4 years of related experience.
Demonstrated capability with programming languages, such as C/C++, Python and Perl
Demonstrated capability with statistical computing environments, such as R
Experience with running large, scientific workflows, preferably genomics and/or sequencing, and managing / analyzing large volumes of data
Experience working in a parallel programming / HPC environment
Additional Desired Qualification:
Statistical inference or machine learning
Experience with data movement and analysis
The posting shall remain open until the position is filled.
Notes: This is a career appointment. This position requires completion of a background check.
Berkeley Lab 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.
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."
Additional Info:
[Click Here to Access the Original Job Post]
Berkeley Lab is Bringing Science Solutions to the World, and YOU can be a part of it!
In the world of science, Lawrence Berkeley National Laboratory (Berkeley Lab) is synonymous with "excellence." That's why we hire the best - whether in research, finance or other operations. This is a great opportunity to bring your top-notch skills to bear in support of world-class scientific research that addresses national and global challenges!
Position Summary:
Berkeley Lab’s Computational Research Division (CRD) has an opening for a Bioinformatics Data Engineer to analyze existing extreme scale workflows and develop scalable techniques for the creation of workflows for bioinformatics and neuroscience.
The Computer Architecture Group is interested in the analysis and creation of scalable, real-time systems capable of integrating the multimodal data generated as part of complex, extreme-scale scientific workflows. There is a need for a holistic solution that addresses the major use cases for a lab’s data analysis needs, defining a workflow starting from when experimental data is recorded on disk to generating figures for a paper. This research will span all levels in the workflows – from application tailored computing, such as FPGAs to HPC ready algorithms and techniques.
Specific Responsibilities:
Application of classification, sorting, and filtering techniques to reduce the volume in the incoming streams of data as well as the addition of metadata for later analysis
Development of data analysis frameworks for accessing, annotation, iteration of the recorded data
Scalable solutions capable of running both on a single laptop / workstation to a production HPC environment for execution of optimization algorithms or other advanced data analysis routines
Profile existing and future individual workflow elements to determine characteristics such as data access patterns and transfer requirements or computational needs.
Work closely with the Joint Genome Institute (JGI) and UCSF to develop new scalable workflows as well as analyze and optimize existing workflows.
Required Qualifications:
Bachelor’s degree in a Natural Science field with an emphasis on mathematics and/or computer science and/or a minimum of 4 years of related experience.
Demonstrated capability with programming languages, such as C/C++, Python and Perl
Demonstrated capability with statistical computing environments, such as R
Experience with running large, scientific workflows, preferably genomics and/or sequencing, and managing / analyzing large volumes of data
Experience working in a parallel programming / HPC environment
Additional Desired Qualification:
Statistical inference or machine learning
Experience with data movement and analysis
The posting shall remain open until the position is filled.
Notes: This is a career appointment. This position requires completion of a background check.
Berkeley Lab 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.
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."
Requeriments :
Skills :
- Bioinformatics
- HPC
- Machine Learning
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in PERL
- Programming in R
Areas :
Additional Info:
[Click Here to Access the Original Job Post]