Lawrence Livermore National Laboratory (LLNL) is seeking a Data Scientist to work on projects related to nuclear facility operations, aiming to strengthen national security by developing and integrating state-of-the-art algorithms and software solutions for challenging research and development problems.
Requirements
- Fundamental knowledge of scientific data analysis, statistical analysis, knowledge discovery, supervised/unsupervised learning, deep learning, natural language processing, and/or big data technologies.
- Experience developing data science algorithms with C++, Python, or R in Linux, UNIX, or Windows environments, sufficient to integrate solutions into larger applications.
- Experience with machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow) for developing data science solutions.
- Experience or familiarity with tools and technologies for RAG pipelines, LLM optimization, or prompt engineering.
- Familiar with the nuclear regulatory requirements (e.g., 10 C.F.R. Part 830, DOE-STD-3009-2014) or willingness to learn.
- Broad experience with Python, scientific data analysis, knowledge discovery, supervised/unsupervised learning, deep learning, and natural language processing.
- Comprehensive experience with ML concepts such as transfer learning, distributed ML, ML operations, generative models, transformers, graph neural networks, or uncertainty quantification.
Responsibilities
- Collaborate with subject matter experts (SMEs) in nuclear facility operations, safety basis, authorization basis, and criticality safety to develop and optimize RAG pipelines that provide relevant context to LLMs.
- Participate in the analysis and process for nuclear operations security governing documents (e.g., documented safety analyses, technical safety requirements, specific administrative controls) to ensure machine-ingestible formats for LLM workflows.
- Contribute to the design and implementation for data pipelines to retrieve, process, and contextualize operational and regulatory data for use in GenAI models.
- Provide solutions to problems of limited complexity for software development tools and frameworks to enhance LLM performance and usability in nuclear operations and security contexts.
- Contribute to the validation and verification of LLM outputs to ensure regulatory compliance and operational reliability.
- Under general direction assess requirements and develop limited complexity data analysis algorithms to address program and sponsor needs, particularly in the context of nuclear safety and regulatory frameworks (e.g., 10 C.F.R. Part 830, DOE-STD-3009-2014).
- Work with multidisciplinary teams to integrate RAG pipelines and LLM tooling into operational workflows, supporting innovation in regulatory compliance and operational security.
Other
- Ability to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. citizenship.
- Bachelor’s degree in data science, computer science, mathematics, statistics, or related field, or the equivalent combination of education and related experience.
- Ability to effectively handle concurrent technical tasks with conflicting priorities, to approach difficult problems with enthusiasm and creativity and to change focus when necessary.
- Sufficient interpersonal skills necessary to interact with all levels of personnel.
- Sufficient verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information.
