Resilient Infrastructure Operational Systems Analyst

LLNL•Livermore, CA

1d•Hybrid

About The Position

Lawrence Livermore National Laboratory has multiple openings for analysts supporting assessment of infrastructure resilience to cyber, physical, and supply chain threats. The role applies technical expertise, critical thinking, modeling and simulation, and analysis to complex, multi-domain problems; provides decision insight and communicates options and trade-offs; and supports integration of new technology for customer missions. Analysts integrate with research and development teams and work directly with operational organizations. The positions are in the Computational Engineering Division within the Engineering Directorate. Telework may be authorized at LLNL’s discretion based on policy, security, program, and performance requirements; it is not guaranteed and may change, including through onsite work requirements. Hiring may be at either the SES.2 or SES.3 level, based on assessed knowledge and related experience. Career Indefinite positions are open to laboratory employees and external candidates. The role requires eligibility to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship, and the ability to obtain and maintain SCI access. Selected external applicants must pass a post-offer, pre-employment drug test. Depending on job duties, work in Limited Areas may restrict possession of personal or laboratory mobile and wireless devices.

Requirements

Ability to obtain and maintain a U.S. DOE Q-level security clearance; U.S. citizenship is required for Q-level clearance.
Ability to obtain and maintain Sensitive Compartmented Information (SCI) access.
Master’s degree in engineering, computer sciences, operations research, or a related field, or an equivalent combination of education and related experience.
Comprehensive knowledge and broad experience designing, integrating, operating, or maintaining industrial control systems, or interpreting and analyzing their data, alarms, and trends.
Comprehensive knowledge and broad experience defining research questions and scoping defensible methods and approaches.
Comprehensive knowledge and broad experience in at least one computational discipline, such as risk analysis, decision analysis, data analytics, statistical modeling, modeling and simulation, control system design, or systems engineering.
Proficient verbal and written communication skills to collaborate, present and explain technical information, and document work.
Proficient analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems.
Ability to travel off-site for sponsor and customer interaction.
At the SES.3 level, advanced knowledge in infrastructure systems, energy systems, cybersecurity, physical security, operation of these systems, or a related discipline.
At the SES.3 level, advanced knowledge applying and developing risk analysis, systems analysis, decision analysis, data analytics, statistical modeling, modeling and simulation, control system design or operation, systems engineering, or a related discipline.
At the SES.3 level, advanced analytical, problem-solving, and decision-making skills.
At the SES.3 level, advanced experience leading diverse technical teams to execute projects.
Selected external applicants must pass a post-offer, pre-employment drug test.

Nice To Haves

PhD in engineering, computer sciences, operations research, or a related field, or an equivalent combination of education and related experience.
Experience with cybersecurity principles and practices, including cyber threat modeling and cyber risk analysis, SCADA systems, industrial control systems, or operational technology environments.
Experience developing models or frameworks to characterize and assess complex infrastructure systems, such as electricity grids and energy systems, supply chains and logistics, chemical processing, oil and natural gas, water, transportation, or communications networks, and/or threats and risks to these systems.
Broad experience managing multiple concurrent projects.
Experience building models and running simulations using Python, Simulink, R, MATLAB, Java, or C++.

Responsibilities

Contribute to analytical models, tools, and frameworks for assessing infrastructure resilience issues, including infrastructure interdependencies, impacts of intelligent adversary attacks, and risks and cost-benefit of technology or operational solutions.
Help define analytical questions and plans that provide stakeholders with decision insights on complex and ambiguous infrastructure resilience problems.
Participate in and collaborate on physical and computational simulations of complex infrastructure systems.
Develop innovative methods using disciplines such as operational technology security, systems engineering, decision analysis, risk analysis, applied statistics and optimization, super intelligence, and machine learning.
Collaborate with scientists and researchers in cybersecurity, physical security, natural hazards, infrastructure systems, and other technical disciplines.
Contribute to technical projects and organizational objectives, provide input on deliverables, and communicate status and projected delivery dates to support quality work within established deadlines.
Interact with technical contacts at sponsor and partner organizations.
Support programmatic deliverables, including occasional travel as necessary.
Perform other duties as assigned.
At the SES.3 level, lead technical tasks and balance customer and partner priorities to meet deadlines.
At the SES.3 level, independently and collaboratively operationalize research and development advancements for LLNL national security programs.
At the SES.3 level, serve as the point of contact for program managers at sponsor and partner organizations.