National Security Systems Analysts
Posted on: November 26, 2022
Company DescriptionJoin 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 essential to innovation and creativity for
continued success of the Laboratory's mission.Job DescriptionWe are
seeking National Security Systems Analysts, highly qualified
scientists and engineers, to join our interdisciplinary team of
National Security Systems Analysts supporting a variety of
application areas, such as, Critical Infrastructure Resilience,
Cyber Security, Intelligence Analysis, Energy Systems, and Climate
Resilience. You will contribute to and 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. National
Security Systems Analysts often serve to integrate across research
and development teams and work directly with operational
organizations. These positions are in the Global Security Computing
Applications Division (GS-CAD) within the Computing
Directorate.These positions will be filled at either the SES.3 or
SES.4 level based on knowledge and related experience as assessed
by the hiring team. Additional job responsibilities (outlined
below) will be assigned if hired at the higher level.In this role
- Develop well-defined analytical questions and plans to provide
decision insights to stakeholders on complex, challenging, and
ambiguous infrastructure resilience problems.
- 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
- Develop, evaluate, and apply physical and computational
simulations to derive insights on complex, interdependent
- Leverage technical expertise and/or experience to develop
defensible, innovative, and creative methods of applying tools from
established disciplines such as cyber security, data science,
systems engineering, decision analysis, risk analysis, applied
statistics and optimization, and other related fields.
- Communicate complex technical concepts to internal and external
stakeholders in a concise and effective way, in collaboration with
diverse teams of scientists and researchers from a variety of
technical disciplines, such as, cybersecurity, physical security,
earth systems, and infrastructure systems.
- Develop new work with Federal, State, and commercial sponsors
and partners in these areas.
- Perform other duties as assigned.Additional job
responsibilities, at the SES.4 level
- Build program technical reputation and network and among
internal and external leadership and other stakeholders.
- Lead and mentor supporting personnel who conduct analysis under
your direct supervision.
- Serve as a point of contact with Federal, State, and commercial
sponsors and partners in these areas.Qualifications
- Ability to obtain and maintain a U.S. DOE Q-level security
clearance which requires U.S. Citizenship.
- PhD in Computer Sciences (data or information science),
Engineering (mechanical, electrical, industrial, chemical, civil,
or systems), Operations Research, or related fields, or the
equivalent combination of education and related experience.
- Advanced knowledge and significant experience in one or more of
the following areas: cyber security, information systems,
infrastructure systems, energy systems, physical security,
intelligence analysis, or other related discipline.
- Significant experience defining, scoping, and executing on
analytical plans to address research or programmatic
- Analytical, problem-solving and decision-making skills to
develop creative solutions to complex problems.
- 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, or other related
- Experience presenting technical concepts to diverse audiences
with 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
- Ability to travel off-site for sponsor and customer
interaction.Additional qualifications at the SES.4 level
- Experience managing large projects and/or diverse, technical
- Substantial experience developing or informing organization or
program level strategies and identifying prioritized
- 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.
- Substantial experience mentoring and developing staff in your
teams and managing interactions with leadership while building
relationships with diverse stakeholders.Qualifications We Desire
- Experience working with the Department of Homeland Security,
Department of Energy, Intelligence Community, and/or the Department
- 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 inter-dependencies among these
- 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 InformationAll your information
will be kept confidential according to EEO guidelines.Position
InformationThis is a Career Indefinite position. Lab employees and
external candidates may be considered for this position.Why
Lawrence Livermore National Laboratory?
- Included in 2022 Best Places to Work by Glassdoor!
- Work for a premier innovative national Laboratory
- Comprehensive Benefits Package
- Flexible schedules (*depending on project needs)
- Collaborative, creative, inclusive, and fun team
environmentLearn more about our company, selection process,
position types and security clearances by visiting our Career site.
Security ClearanceThis 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. In addition, all L or Q cleared employees are subject to
random drug testing. Q-level clearance requires U.S. citizenship.
For additional information, please see DOE Order 472.2.
Pre-Employment Drug TestExternal applicant(s) selected for this
position will be required to 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.Equal Employment
OpportunityLLNL is an equal opportunity employer that is committed
to providing candidates and employees with a work environment free
of discrimination and harassment. We value and hire a diverse
workforce as it is a vital component of our culture and success.
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.LLNL invites you to review the Equal Employment
Opportunity posters which include EEO is the Law and Pay
Transparency Nondiscrimination Provision.Reasonable AccommodationAt
LLNL, 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 submit a request via our online form.
California Privacy NoticeThe 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.Videos To
Keywords: LLNL, Livermore , National Security Systems Analysts, Other , Livermore, California
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