ScienceIT Consultant

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 extensive experience in computation and consultation to provide strong technical support to solve complex research problems. 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 March 2, 2026.

We’re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!

We invest in our employees by offering a total rewards package you can count on:

• Exceptional health and retirement benefits , including pension or 401K-style plans
• A culture where you’ll belong - we are invested in our teams!
• In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.
• Parental bonding leave (for both mothers and fathers)

What You Will Do:

• Serve as a resource for scientists needing assistance with using computation and data in their research.
• Collaborate with scientists and Science
  
  IT specialists, rapidly assess users’ computing needs and then translate and develop those needs into information technology requirements.
• Network with key contacts, internal and external domain experts, for technical requirements that extend beyond their core 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.
• Provide implementation support on a wide range of compute, storage, networking, and data analytics capabilities.
• Assist researchers with utilizing Cloud Compute Services (AWS, GCP primarily), containerization tools, and other relevant technologies.
• 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 Science
  
  IT-specific technology, services, or offerings.
• Serve as an expert resource in one or more of the following areas: data science, machine learning, cloud computing, high-performance computing, agentic AI, and scientific domains relevant to LBNL research.

What is

Required:

• A Bachelor’s Degree (or equivalent knowledge/training) in Computer Science, Systems Engineering, Physics, Biology, or a related field and a minimum of 8 years of 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, Slurm job management, or Python scripting.
• Experience with data management tools such as SQL databases, data lakes, vector or graph databases.
• Experience with CI/CD pipelines (including Git Hub/Git Lab) and traditional parallel programming tools such as MPI, OpenMP, Dask, ipyparallel or Ray.
• Experience with developing data movement and analysis pipelines in high-level scripting languages.
• Expertise in Artificial Intelligence/Machine Learning (AI/ML), ML frameworks and generative modeling techniques, and key programming languages such as Tensor…