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
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
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."
Internal Number: 85579
About Lawrence Berkeley National Laboratory
In the world of science, Lawrence Berkeley National Laboratory (Berkeley Lab) is synonymous with excellence. Thirteen scientists associated with Berkeley Lab have won the Nobel Prize. Fifty-seven Lab scientists are members of the National Academy of Sciences (NAS), one of the highest honors for a scientist in the United States. Thirteen of our scientists have won the National Medal of Science, our nation's highest award for lifetime achievement in fields of scientific research. Eighteen of our engineers have been elected to the National Academy of Engineering, and three of our scientists have been elected into the Institute of Medicine. In addition, Berkeley Lab has trained thousands of university science and engineering students who are advancing technological innovations across the nation and around the world. Berkeley Lab is a member of the national laboratory system supported by the U.S. Department of Energy through its Office of Science. It is managed by the University of California (UC) and is charged with conducting unclassified research across a wide range of scientific disciplines. Located on a 200-acre site in the hills above the UC Berkeley campus that offers spectacular... views of the San Francisco Bay, Berkeley Lab employs approximately 4,200 scientists, engineers, support staff and students. Its budget for 2011 is $735 million, with an additional $101 million in funding from the American Recovery and Reinvestment Act, for a total of $836 million. A recent study estimates the Laboratory's overall economic impact through direct, indirect and induced spending on the nine counties that make up the San Francisco Bay Area to be nearly $700 million annually. The Lab was also responsible for creating 5,600 jobs locally and 12,000 nationally. The overall economic impact on the national economy is estimated at $1.6 billion a year. Technologies developed at Berkeley Lab have generated billions of dollars in revenues, and thousands of jobs. Savings as a result of Berkeley Lab developments in lighting and windows, and other energy-efficient technologies, have also been in the billions of dollars. Berkeley Lab was founded in 1931 by Ernest Orlando Lawrence, a UC Berkeley physicist who won the 1939 Nobel Prize in physics for his invention of the cyclotron, a circular particle accelerator that opened the door to high-energy physics. It was Lawrence's belief that scientific research is best done through teams of individuals with different fields of expertise, working together. His teamwork concept is a Berkeley Lab legacy that continues today.