ScienceIT Consultant

Lawrence Berkeley National Lab's ( LBNL ) Information Technology Division ( IT ) has an opening for a ScienceIT Consultant to join their ScienceIT Team !

In this exciting role, you will partner with Berkeley Lab researchers to accelerate discovery through advanced computing, artificial intelligence, and data-driven science, supported by state-of-the-art cyberinfrastructure (CI) systems, tools, specialized software, and applications that enable research productivity and innovation.

We are looking for a talented professional with experience with the application of computation to solve research problems and strong technical and complex problem-solving skills for this role. You will work closely with different science teams simultaneously, using professional concepts to resolve issues creatively, as an IT expert or facilitator across all phases of the scientific lifecycle, supporting the efficiency and effectiveness of capabilities for data analysis, data management, data storage, computation, machine learning, and related IT needs expressed by scientific projects.

This position has an anticipated start date of November 3, 2025.

What You Will Do :

• Serve as a contact and knowledgeable resource for scientists needing assistance with using computation and data in their research.
• Collaborate with scientists and Science IT specialists to develop and translate those needs into information technology requirements & Networks with key contacts outside their own area of expertise.
• 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 a cross-domain community and knowledge-sharing among science teams facing similar IT challenges.
• Independently provide implementation support and advice on a wide range of compute, storage, networking, and data analytics capabilities.
• Promote and assist researchers in utilizing Cloud Compute Services (AWS, GCP primarily), containerization tools, and other relevant technologies while exercising judgment in selecting methods, techniques and evaluation criteria for obtaining results to support scientific clients and research groups.
• 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.
• Provide expertise in machine learning (deep learning, generative models, NLP, computer vision) and integrate these approaches with Lab-scale HPC and cloud environments. Develop and optimize pipelines that combine HPC with AI frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, etc.).
• Serve as an expert resource in one or more of the following areas : data science, machine learning, workflow orchestration and automation, and scientific domains relevant to LBNL research.

What is Required :

A Bachelor's Degree (or equivalent knowledge / training) in Computer Science, Engineering, or a related field and a minimum of 8 years professional experience using modern computational tools to help solve problems related to research computing or an equivalent combination of education and experience.

Desired Qualifications :

Notes :

Equal Employment Opportunity Employer : The foundation of Berkeley Lab is our Stewardship Values : Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich 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, protected veteran status, or other protected categories under State and Federal law.

Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti-discrimination efforts, consistent with its obligations as a Federal and State contractor.

Misconduct Disclosure Requirement : As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.

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