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Research Analyst - Cost Estimator

Job in Alexandria, Fairfax County, Virginia, 22350, USA
Listing for: RPMGlobal
Full Time position
Listed on 2026-09-12
Job specializations:
  • Engineering
Salary/Wage Range or Industry Benchmark: 113353 - 277494 USD Yearly USD 113353.00 277494.00 YEAR
Job Description & How to Apply Below

Overview
The Institute for Defense Analyses (IDA) is a Federally-Funded Research and Development Center supporting the Department of War (DOW) and other federal agencies. IDA’s mission is to provide objective analyses of national security issues and related national challenges, particularly those requiring extraordinary scientific and technical expertise. IDA takes great pride in the high caliber and timeliness of its analyses, which are produced in an atmosphere that encourages collaboration, independent thinking, and objective results.
An opportunity now exists in the Cost Analysis and Research Division (CARD) for a Research Staff Member – Cost Estimator. CARD produces independent cost estimates, affordability assessments, and schedule-risk analyses that inform resource allocation and acquisition decisions across the DOW and other federal agencies. The division’s portfolio spans Major Defense Acquisition Programs and other government programs across the air, space, land, maritime, command and control, communications and intelligence (C3I), nuclear enterprise, software and information technology, and sustainment domains, as well as cross-cutting policy and resourcing questions.
This is a broadly scoped role. The estimator is not assigned to a single platform or portfolio; in a given year an analyst may support several unrelated programs, and the ability to learn a new system and its cost drivers quickly matters more than prior familiarity with any one of them.
Work at IDA is conducted in a team environment and often involves a multi-disciplinary approach. Researchers work closely with and are in frequent contact with government sponsors. Consequently, strong communication and interpersonal skills will be greatly valued.

Responsibilities
  • Develops cost estimates and cost element structures for defense programs, working in close coordination with technical project leaders
  • Collects, normalizes, and validates cost, schedule, technical, and programmatic data from government and contractor sources
  • Builds, documents, and maintains cost models using parametric, analogy, extrapolation-from-actuals, and engineering build-up methods as warranted
  • Conducts cost-risk, uncertainty, and sensitivity analyses, and examines affordability under alternative assumptions and funding profiles
  • Assess the reasonableness of government and contractor cost estimates, including underlying assumptions, methodologies, and data sources
  • Applies the same analytic toolkit across a varied portfolio of programs, adapting methods to the maturity, data availability, and technical character of each
  • Documents methods, data lineage, and results so that estimates are transparent, reproducible, and defensible to reviewers and sponsors
  • Drafts sections of briefings and reports documenting conclusions, findings, and recommendations; presents results to project leaders and, with support, to task sponsors
  • Contributes to improvements in the division’s analytical methods, models, data collections, and tooling
  • Supports multiple concurrent tasks and meets sponsor deadlines
Minimum Job Qualifications

Education/

Experience:

Ph.D. in Operations Research, Economics, Statistics, Engineering, Applied Mathematics, Physics, Materials Science, Finance, or a related quantitative field; OR a Master’s degree in one of those fields with 3+ years of relevant experience.

Knowledge/Skills/Abilities:

  • Experience developing or directly supporting cost estimates, budget analyses, or comparable quantitative analyses of complex systems or programs, in a government, FFRDC, industry, or research setting
  • Working knowledge of several cost estimating methods — parametric or regression-based estimation, analogy, engineering build-up, or learning-curve analysis — and a willingness to…
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