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Resilient Infrastructure Systems Analyst - Experienced
Engineering | livermore, CA | 01/11/2024
Job Code: SES.4 Science & Engineering MTS 4
Organization: Engineering
Position Type: Career Indefinite
Security Clearance: Anticipated DOE Q clearance (requires U.S. citizenship and a federal background investigation)
Drug Test: Required for external applicant(s) selected for this position (includes testing for use of marijuana)
Medical Exam: Not applicable
Company Description
Join us and make YOUR mark on the World!
Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.
We are committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is important for continued success of the Laboratory’s mission.
Pay Range
$191,220.00 - $245,544.00 Annually
Please note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay including education, experience, the external labor market, and internal equity.
Job Description
We are seeking highly qualified engineers to join our interdisciplinary team of Systems Analysts supporting analysis of the resilience of a variety of infrastructure systems to cyber, physical, and natural threats and hazards. You will lead efforts that apply a combination of technical depth and breadth, critical thinking, modeling and simulation, and analysis to understand complex, multi-domain problem areas and provide decision insight, communicate options and trade-offs, and facilitate the integration of new technology in support of customer missions. Systems Analysts often serve to integrate across research and development teams and work directly with operational organizations. These positions are in the Computational Engineering Division (CED) within the Engineering Directorate.
In this role you will
- Lead teams to develop well-defined analytical questions and plans to provide decision insights to stakeholders on complex, challenging, and ambiguous infrastructure resilience problems.
- Lead teams to develop novel analytical models, tools, and frameworks to characterize and assess key infrastructure resilience-related issues, such as infrastructure interdependencies, system-level impacts from natural hazards and intelligent adversary attacks, or risk cost-benefit of various technology or operational solutions.
- Lead teams to develop, evaluate, and apply novel frameworks and physical and computational simulations to derive insights on complex, interdependent infrastructure systems.
- Leverage deep technical expertise and/or experience to develop defensible, innovative, and creative methods of applying tools from established disciplines such as systems engineering, decision analysis, risk analysis, applied statistics and optimization, and other related fields.
- Lead and develop diverse teams of scientists and researchers from a variety of technical disciplines, such as cybersecurity, physical security, natural hazards, and infrastructure systems.
- Develop opportunities to operationalize research and development advancements for LLNL national security programs.
- Lead and manage supporting personnel who conduct analysis under your direct supervision.
- Communicate complex technical concepts to internal and external stakeholders in a concise and effective way.
- Develop new work with Federal, State, and commercial sponsors and partners in these areas.
- Perform other duties as assigned.
Qualifications
- Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
- PhD degree in engineering (mechanical, electrical, industrial, chemical, civil, or systems), computer sciences (data or information science), operations research, or related fields, or the equivalent combination of education and related experience.
- Significant experience in developing models and/or frameworks to characterize and assess complex infrastructure systems (e.g., electricity grid, transportation networks, supply chain and logistics, chemical processing, oil and natural gas transmission and distribution, communications networks, structural systems) and/or threats and risks to these systems.
- Significant experience defining, scoping, and executing on analytical plans to address complex research or programmatic questions. Advanced analytical, problem-solving, and decision-making skills to develop creative solutions to complex problems.
- Significant experience presenting technical concepts to diverse audiences. Proficient verbal, written, and interpersonal communication skills necessary to effectively collaborate in a multi-disciplinary team environment and communicate technical information, document work, and lead the creation of proposals and high-quality research papers.
- Significant experience with one or more of the following computational disciplines: risk analysis, systems analysis, decision analysis, data analytics, statistical modeling, modeling and simulation, control system design, systems engineering, or other related discipline.
- Significant experience managing interactions with leadership and building relationships with diverse stakeholders.
- Significant experience effectively managing concurrent technical tasks with competing priorities and implementing advanced research concepts in a multi-disciplinary team environment where commitments and deadlines are critical for program success.
- Significant experience coaching or mentoring staff on project teams.
- Ability to travel off-site for sponsor and customer interaction.
Qualifications We Desire
- Significant experience working with the Department of Homeland Security, Department of Energy, Intelligence Community, and/or the Department of Defense.
- Significant experience leading collaboration across government, research (university, laboratory) and/or commercial (industry) institutions.
- Significant experience working in design, operations, or modeling of critical infrastructure systems, particularly transportation networks and logistics, chemical processing, water and wastewater systems, communications networks, or interdependencies among these systems.
- Expertise with modeling and simulation or data analysis using one or more of the following programming tools: Python, Simulink, R, MATLAB, Java, or C++.
Additional Information
Position Information
This is a Career Indefinite position, open to Lab employees and external candidates.
Why Lawrence Livermore National Laboratory?
- Included in 2024 Best Places to Work by Glassdoor!
- Flexible Benefits Package
- 401(k)
- Relocation Assistance
- Education Reimbursement Program
- Flexible schedules (*depending on project needs)
- Inclusion, Diversity, Equity and Accountability (IDEA) - visit https://www.llnl.gov/diversity
- Our core beliefs - visit https://www.llnl.gov/diversity/our-values
- Employee engagement - visit https://www.llnl.gov/diversity/employee-engagement
Security Clearance
This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.
Pre-Employment Drug Test
External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
How to identify fake job advertisements
Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.
To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf
Equal Employment Opportunity
We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
We invite you to review the Equal Employment Opportunity posters which include EEO is the Law and Pay Transparency Nondiscrimination Provision.
Reasonable Accommodation
Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.
California Privacy Notice
The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.
