Senior Analyst - Modeler

Introduction:

The Johns Hopkins University Applied Physics Laboratory (APL), a national leader in scientific research and development, located midway between Baltimore and Washington, D.C. is seeking an experienced analyst to support cyber assessments and develop models and simulations.

Job Summary:

Play a leading role in the assessment of cyber risk, resilience, and key cyber terrain analysis of military tactical systems. Lead the development and expansion of assessment models and simulations to conduct those assessments. Support research and development of new methods and approaches for the assessment of cyber systems used within the military.

Duties (Listed in order of importance with the estimated amount of time spent at each task):

  • Cyber Analysis – Use current models and analytic methods to quantify the risk of cyber attack to military tactical systems, and assess the resilience of those systems while defending themselves. Lead or support studies that assess risk due to cyber attack, assess the effectiveness of cyber defenses and mitigations, analyze the impact of attacks on the overall mission. Lead or support efforts that investigate the system’s key cyber terrain, and work with teams to investigate key areas for new concepts, improved architecture, and potential operational tactics to improve risk and resilience. (75%)
  • Cyber Modeling – Support the development and maintenance of analytic toolsets used to perform quantitative analysis and assessment. Edit current tools, develop new software to enhance or expand analytic capability, develop methods, algorithms, and visualization capabilities to support cyber analysis. (20%)
  • M&S Strategy – Understand the analytic needs of the group and work with the team and leadership to define future modeling and simulation capabilities. Support the definition of needed tools and methods, definition of requirements and plans to develop those capabilities, and support the research and development of those tools. (5%)

Note: This job summary and listing of duties is for the purpose of describing the position and its essential functions at time of hire and may change over time.

Required Qualifications:

  • BS in Engineering, Computer Science, Mathematics, Operations Research, or a related technical discipline. 5 years of:
  • Demonstrated experience in quantitative analysis.
  • Demonstrated experience in developing and using complex modeling or simulation software, or analytic software such as Matlab.
  • Demonstrated skills at leadership, organization, planning, and communication.
  • Excellent written and verbal communication skills.
  • Requires a Secret clearance.

Desired Qualifications:

  • MS or PhD in Engineering, Computer Science, Mathematics, or Operations Research.
  • 5-10 years of experience in performing quantitative analysis of systems, risk, resilience, or performance of military systems.
  • Experience in cybersecurity engineering.
  • Experience with leading assessment teams.
  • Experience in military tactical systems.
  • Experience in quantitative cyber risk assessments.
  • Prefer an active TS/SCI clearance.

Special Working Conditions: Travel as required

Security: Applicant selected will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

Benefits: APL offers a comprehensive benefits package including a liberal vacation plan, a matching retirement program, significant educational assistance, a scholarship tuition program for staff with dependents, and competitive salaries commensurate with skills and experience. For more information about our organization, please visit our web site at www.jhuapl.edu.

Equal Employment Opportunity: Johns Hopkins University/Applied Physics Laboratory (APL) is an Equal Opportunity/Affirmative Action employer that complies with Title IX of the Education Amendments Acts of 1972, as well as other applicable laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status.


Back to top