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.

• Experience with workflow management tools such as bash scripting or SQL databases, CI/CD pipeline (including GitHub/GitLab), traditional parallel programming tools such as MPI and OpenMP.
• Experience with developing data movement and analysis pipelines in high-level scripting languages.
• Strong technical analytical skills including experience identifying issues, troubleshooting, problem-solving, and resolving issues related to programming using modern languages such as Python or C++.
• Expertise in AI/ML, including proficiency in key programming languages, such as TensorFlow and PyTorch, and experience with machine learning frameworks and generative modeling techniques.
• Demonstrated broad knowledge of a variety of cyberinfrastructure systems and technologies, including cloud computing and storage, virtual machines, and HPC environments.
• Excellent oral and written communication skills including experience organizing and presenting customer focused technical data, reports, and projects to audiences with varying degrees of technical expertise.
• Strong interpersonal skills including experience with research facilitation and project management in a multidisciplinary teams environment.

Desired Qualifications:

• An Advanced Degree in Computer Science, Engineering, or a related field and a minimum of 6 years of related professional experience or an equivalent combination of education and experience.
• Experience with software engineering, including developing research-focused software applications, particularly using modern software development tools such as version control and continuous integration.
• Research experience that includes the application of advanced computing to solve research problems.
• Demonstrated understanding of security principles and best practices, particularly as they apply to research data.
• Familiarity with generative AI, foundation models, and domain-specific large models.

Notes:

• Application Deadline: For full consideration, please apply with a resume and a cover letter describing your interest by October 8, 2025.
• Appointment Type: This is a full-time, career appointment, exempt (monthly paid) from overtime pay.
• Salary Information: This position is expected to pay $136,440 - $170,556 annually, which fits within the full salary range of $136,440 - $187,596 annually for job code C70.3. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary for this position will be commensurate with the final candidate's qualification and experience, including skills, knowledge, relevant education, certifications, and aligned with the internal peer group.
• Background Check: 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 Modality: 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 94720. Work schedules are dependent on business needs. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab. Starting May 7, a REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information click here).
• Relocation Assistance: This position is not eligible for relocation assistance.
• Eligibility: This position is not eligible for visa sponsorship or transfer now or in the future (e.g., H-1B, TN, STEM OPT, etc.). You must be legally authorized to work in the United States to be considered for this position.

Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov

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.