Pacific Northwest National Laboratory Cyber Security Analyst [Washington, DC - Bolling AFB] in SEATTLE, Washington

Organization and Job ID

Job ID: 306625

Directorate: National Security

Division: Computing and Analytics

Group: Operations and Analysis

Job Description

This position is located in Washington, D.C. metro area (Bolling Air Force Base) and will be in support of government clients in their work spaces. This position will conduct technical analysis related to various subject matters in support of national defense including cyber, operational information, geopolitics, world events, etc. primarily in the areas of threat assessment, situational awareness, and internet characterizations. The incumbent will perform data fusion from disparate data sets, and data analysis using advanced tools (such as data visualization, data management, link and node, OLAP, etc.). The incumbent will also participate in business development through requirements definition, procurement, setup and operation of unique data analysis centers for various government clients in support of the Intelligence Community (IC).

The position resides in the Operations & Analysis Group, and is a part of the National Security Directorate that provides high quality technology and analysis products to the U.S. Department of Energy and other federal agencies.

Responsible and accountable for:

- Analysis of datasets, information queries, applications, and tools for the purpose of providing situational awareness both predictive and forensic.

- Maintaining proficiency in current and emerging analytical software products to conduct analysis that enhances the analytic workflow – includes but not limited to the PNNL-developed visualization tools suite.

- Oversight on security operations for PNNL-developed technologies.

- Staying abreast of world-wide events that are indicators of developing trends for situational awareness.

- Providing training to U.S. government and intelligence analysts in methodologies and work flows utilizing COTS, GOTS, and PNNL developed tools and analytical software products.

- Providing occasional after hours response to support sponsor mission needs

- Teaming with technical peers to produce high quality technical products as defined. These products/tasks will include analysis of disparate sources of information on various subject matters, providing Internet characterizations and situational awareness to project clients; products include reports, briefings, demonstrations, and presentations for both policy and technical audiences.

- Supporting U.S. government and contractor intelligence analysts in development of all-source intelligence products that convey detailed assessments and projections of threats to U.S. Government assets.

- Managing tasks and mentoring junior technical staff within the project and provide direction to administrative and support staff.

- Interfacing with senior technical levels of the U.S. government (intelligence agencies, military commands and National Laboratories).

Operating on the data-information-knowledge continuum, staff at PNNL employ diverse methods to confront significant problems of national interest—from distilling distributed data into knowledge that supports decision processes, to enabling resilient technologies that enhance computing at extreme scales, to equipping cyber defenders with tools that prevent damaging cyber-attacks.

Our research portfolio—spanning from basic to applied—includes data and computational engineering, high-performance computing, applied mathematics, semantic and human language technologies, machine learning, data and computing architectures, systems integration, and software and application development.

Computing researchers and practitioners work side by side to apply advanced theories, methods, algorithms, models, evaluation tools and testbeds, and computational-based solutions address complex scientific challenges affecting energy, biological sciences, the environment, and national security.

Minimum Qualifications

- BS/BA Degree and at least 2 years of experience in a national security related field or an advanced degree.

- This position requires up to 25% travel time. Must also be occasionally available to work after hours in response to sponsor support needs.

- This position also requires the ability to obtain a federal security clearance in a timely manner. Which requires:

Preferred Qualifications

- Advance degree with at least 3 years’ experience or PhD.

- Intelligence Analysis, Data Fusion Methodologies, and Data Visualization Techniques

- Active DOD or DOE Q Clearance

- Foreign language skills desired

Equal Employment Opportunity

PNNL is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse, talented workforce. EOE Disability/Vet/M/F/Sexual Orientation/Gender Identity. Staff at PNNL must be able to demonstrate the legal right to work in the United States.

Other Information

This position requires the ability to obtain a federal security clearance in a timely manner. Which requires:

* U.S. Citizenship

* Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B.

* Drug Testing: All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).

Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs, including marijuana, for 12 consecutive months can be demonstrated.

Directorate: National Security Dir

Job Category: Computation and Information Sciences

Group: Operations and Analysis

Opening Date: 2017-05-23

Closing Date: 2017-08-26