Lawrence Berkeley National Lab's (LBNL) Information Technology Division has an opening for a ScienceIT Consultant to join the team.

In this exciting role, you will engage and advise Berkeley Lab researchers on the best use of computing technologies and state-of-the-art cyberinfrastructure (CI) systems, tools, specialized software, and applications to enable research productivity and discovery.

What You Will Do:

• Serve as a contact and knowledgeable resource for scientists needing assistance with using computation and data in their research.
• Working together with scientists and ScienceIT specialists, develop and translate those needs into information technology requirements.
• Support and maintain institutional 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.
• Provide implementation support and advice on a wide range of compute, storage, networking, and data analytics capabilities.
• Promote and assist researchers with 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.
• Develop training and teach courses to Laboratory scientists, staff, and post-docs on ScienceIT specific technology, services, or offerings.

What is Required:

• Bachelor's Degree in Physics, Biology, Computer Science, Mathematics, Systems Engineering or a related field or equivalent training/experience with a minimum of 5 years related experience OR Master's degree with a minimum of 3 years related experience OR PhD degree with a minimum of 2 years related experience.
• Strong technical and problem-solving skills, including programming experience with a modern language such as Python or C++.
• Experience using advanced scientific computing platforms such as HPC or cloud computing.
• Experience using modern computational tools to help in solving problems relating to research computing. For example: workflow management tools such as bash scripting or SQL databases; Experience in CI/CD pipeline (including GitHub/GitLab); traditional parallel programming tools such as MPI and OpenMP; modern ML tools, such as TensorFlow, PyTorch. Experience in web software development platform Django is highly desired.
• Experience with developing data movement and analysis pipelines in high-level scripting languages.
• Demonstrated ability to quickly and efficiently create working proof-of-concept implementations to test out ideas.
• Strong written and verbal communication skills to present and disseminate solutions to clients or scientific software developments at group meetings and conferences.

This position is expected to pay $93,120.00 - $103,068.00 annually, which fits within the full salary range of $82,452.00- $139,152.00 for the C70.1 Computer Systems Engineers 1. Salary for this position will commensurate with the final candidate's qualification and experience, including skills, knowledge, relevant education, certifications, plus also aligned with the internal peer group.

Notes:

• This is a full-time career appointment, exempt (monthly paid) from overtime pay.
• This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.
• 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.
• This position is eligible for a hybrid work schedule - a combination of teleworking and performing work on site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Work schedules are dependent on business needs. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab.

Want to learn more about Berkeley Lab's Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/

Based on University of California Policy - SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.

Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab's mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

Equal Opportunity and IDEA Information Links: Know your rights, click here for the supplement: Equal Employment Opportunity is the Law and the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4.