In this role, you will provide IT capabilities and consulting support to science and technical programs. This position will work closely with many different science teams simultaneously as an IT-expert across all phases of the scientific lifecycle, supporting the efficiency and effectiveness of capabilities for data analysis, data management, data storage, computation, identity management, and many other IT needs expressed by scientific projects.
This position will be hired at a level commensurate with the business needs; and skills, knowledge, and abilities of the successful candidate.
What You Will Do:
Serve as the first point of contact for researchers to ensure IT infrastructure match scientific needs.
Work with a wide community of scientific disciplinary experts to identify emerging and essential information technology needs and translate those needs into information technology requirements.
Support the efficiency and effectiveness of capabilities for data analysis, data management, data storage, computation, identity management, and many other IT needs expressed by scientific projects.
Plan, organize, track and execute projects on behalf of our Science-IT customers as part of a flexible team organization.
Foster cross-domain community and knowledge-sharing between science teams with similar IT challenges.
Research, find, and evaluate new technologies and provide implementation support and advice on a wide range of compute, storage, networking, and data analytics capabilities.
Promote the use of Cloud Compute Services (AWS, GCP primarily) containerization tools, etc. to scientific clients and research groups.
Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
Assist in cost & schedule estimation for the IT needs of scientific programs, as part of supporting grant applications, architecture development, or scientific program execution.
Oversee and work as part of collaborations with ESNET, NERSC, UC Berkeley, UC Merced and other Research IT programs and resources (Software Carpentry, D-Lab, CITRIS, etc).
Serve as a resource on Research-IT topics and teach courses to Laboratory Science Staff, Post-docs and others on specific topics of expertise.
Support Machine Learning capability growth at LBL.
Provide scientist and user support in deployment and maintenance of developed tools.
What is Required:
Bachelor's Degree in Physics, Biology, Computer Science, Mathematics, Systems Engineering or a related field or equivalent training/experience.
A minimum of 5 years of experience designing and building working web-based working projects using modern languages, tools, and frameworks.
Experience supporting scientific facilities, and prior knowledge of Science user needs, program management, grant application processes, data management planning or lab-bench IT needs.
Experience with HPC or cloud computing environments.
Experience with marketing, customer acquisition or fulfillment, or related customer outreach and retention capabilities.
Demonstrated experience collaborating with, and developing requirements from, a diverse multidisciplinary team environment and excellent interpersonal skills.
Ability to interact with a variety of technical and scientific personnel including Research Associates, Scientists and Software Engineers with varied academic backgrounds.
Strong written and verbal communication skills to present and disseminate scientific software developments at group meetings and conferences.
Demonstrated ability to reason clearly about load, latency, bandwidth, performance, reliability, and cost and make sound engineering decisions balancing them.
Demonstrated ability to quickly and efficiently create working proof-of-concept implementations to test out ideas.
What We Desire:
Advanced graduate degree in Physics, Biology, Computer Science, Mathematics, or a related field or equivalent combination of skills, training, and experience.
Significant experience designing and building working web-based working projects using modern languages, tools, and frameworks.
Experience and expertise working on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
Familiarity with software version control systems (git, github, bitbucket) and program management methods.
Basic knowledge of data acquisition systems (EPICS, LabView, MatLab, etc).
Knowledge of linux/windows system administration and Identity Management.
Experience in working with NERSC, ESNet, XSEDE or other National Laboratory platforms and ecosystems.
Experience with OpenStack or similar platform development environments.
The posting shall remain open until the position is filled.
This is a full time, M-F, exempt from overtime pay (monthly paid), Career appointment.
Classification will depend upon the applicant's level of skills, knowledge, and abilities.
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.
Learn About Us:
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.
Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is second to none, and outstanding development opportunities. To view information about the many rewards that are offered at Berkeley Lab- Click Here.
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 thePay Transparency Nondiscrimination Provisionunder 41 CFR 60-1.4. Clickhere to view the poster and supplement: "Equal Employment Opportunity is the Law."
Internal Number: 86093
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.