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The Data Analytics and Visualization Group (http://dav.lbl.gov/) has an immediate opening for a Scientific Data Engineer.


The Data Engineer will work on development and applied research in the area of data modeling, management, and analysis in the area of neuroinformatics applications. The position is in support of a research project, funded by the National Institutes of Health (NIH) that aims to develop methods for standardization, sharing, and analysis of neurophysiology data. The overall objectives for this position are to develop new methods and software tools that enable scientific knowledge discovery using high performance computational platforms and advance the state-of-the-art in data-intensive analysis. This positions will be part of an experienced team conducting R&D in the areas of data-intensive, high-performance analysis, visualization, and data management. The candidate will be working as part of a multi-disciplinary team composed of computer scientists, mathematicians, and experimental/computational neuroscientists.


The Scientific Data Engineer will:

  • Design, implement and maintain HPC ready software tools for querying and visualizing complex multidimensional neurophysiology data, and design, implement and maintain software tools for creating and running parallel data intensive analysis workflows.

  • Develop methods for tracking provenance of analyses of experimental data, and develop capabilities for integrating standardized data with web-based data archives.

  • Ensure and exercise software development best practices around version control and continuous integration and deployment

  • Work closely with the community of developers of the Neurodata Without Borders (https://www.nwb.org/) open source data ecosystem, and work closely with neuroscientists from institutions such as UCSF and the Allen Institute for Brain Science to develop new capabilities of the Neurodata Without Borders ecosystem

 

Minimum Qualifications:


  • Bachelor’s degree in a field with an emphasis on mathematics and/or computer science (or equivalent experience) and at least 2 years of related experience designing and developing software for data modeling or analysis.

  • Demonstrated capability with programming languages, such as C/C++, Python, Java

  • Demonstrated capability with version control systems, such as Git, Mercurial or SVN

  • Experience developing complex software solutions

  • Experience testing large code bases

  • Experience contributing to community-driven open source software

  • Demonstrable experience in one or more of the following areas: data modeling, data management, data query, machine learning, visualization

Additional Desired Qualifications:


  • Master’s or PhD in Computer Science or related field, with 5 or more years of professional experience designing and developing scientific data modeling or analysis software.

  • Demonstrated capability with parallel libraries and environments, such as, MPI, OpenMP, CUDA, pthreads, OpenCL, OpenACC

  • Demonstrated capability with CI/CD systems, such as TravisCI, CirlceCI, or AppVeyor

  • Experience working in shared compute resources (e.g., clusters)

  • Experience working with relational and/or non-relational database systems, e.g., MongoDB, PostgreSQL, MySQL, Redis

  • Experience working with HDF5

  • Experience developing REST APIs

  • Experience with the Neurodata Without Borders data standard and PyNWB

Notes:


  • This is a full time, 2-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.

  • The level of the position will depend upon the applicant's demonstrated skills, knowledge, and abilities.

  • Full-time, M-F, exempt (monthly paid) from overtime pay.

  • Salary is commensurate with experience.

  • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.

  • Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

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.


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."

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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."

 

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The Lawrence Berkeley National Laboratory provides accommodation to otherwise qualified internal and external applicants who are disabled or become disabled and need assistance with the application process. Internal and external applicants that need such assistance may contact the Lawrence Berkeley National Laboratory to request accommodation by telephone at 510-486-7635, by email to eeoaa@lbl.gov or by U.S. mail at EEO/AA Office, One Cyclotron Road, MS90R-2121, Berkeley, CA 94720. These methods of contact have been put in place ONLY to be used by those internal and external applicants requesting accommodation.