KBRwyle Operations Research Analyst (Dayton, Ohio) in Dayton, Ohio

Operations Research Analyst (Dayton, Ohio)

Description

This position is contingent upon contract award

The United States Air Force School of Aerospace Medicine is undertaking a multi-year program of research to develop and validate a constructive model of prolonged field care scenarios to optimize the return-to-duty rate of ill/injured warfighters. The objective of this research is to simulate prolonged care scenarios to determine optimized solutions for compound factors such as personnel, supplies, equipment, triage/treatment strategies, employment of evacuation modes, warfighter attrition, and return-to-duty rates in various conflicts. The Operations Researcher Analyst facilitates this objective by reviewing and identifying applicability of data elements, build constructive models incorporating the mathematical relationships between multi-factorial variables, refine and validate models using cross-validation, and incorporate new data from live simulation of solutions. The analyst collaborates with subject matter experts to gather input and understand constraints and limitations unique to military operations.

  • Collaborate with principal investigators to identify and review empirical data sources, literature, and planning strategies.

  • Collaborate with other teammates and government agencies to define or inform model variables that cannot be developed through extant data alone.

  • Compile and maintain data dictionary of model variables influencing prolonged care.

  • Define model variable input factors, weighting, thresholds, and inter-dependences.

  • Develop model for a scenario using weighted variables, SME input constraints, and rational ignorance decision models based on available data. Employ virtual k-fold cross-validation method to compare model using empirical data and assumptions.

  • Build, test, and validate model for additional scenarios and validate selected scenario using iterative live simulations to improve sensitivity and selectivity.

  • Summarize and interpret research project results and assist in preparation of research papers, reports, and briefings, as requested.

Qualifications

Required Education/Experience :

MS degree with 6 years relevant experience in operational research or computational sciences conducting independent research with at least one publication in the last 2 years.

Knowledge in use of statistical analysis, simulations, predictive modeling, constructive modeling, or other methods to analyze information and develop solutions to complex problems.

At least 2 years' experience in the construction of models to customer specifications.

Required Skills/Training:

Strong organizational, reading comprehension, problem solving, self-management, and communication skills.

Proficiency with statistical analysis software packages (e.g., JMP, R, SPSS, SAS, STATA, etc.), Microsoft Office Suite, and SQL languages.

Strong skills in providing integral support in the requirements determination, conceptualization, design, development, testing, verification and validation, documentation, and implementation of modeling and simulation based decision support system applications

Ability to work well and flexibly (i.e., autonomously) in small teams and with a wide range of varying stakeholders.

Desired Education, Experience, Skills or Tr a ining :

Doctoral Degree in operations research or statistics preferred.

Experience working in the government, defense, and Air Force research environments highly preferred.

Understanding of healthcare environment and military operations highly preferred.

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

Job: Research Operations

Primary Location: US-US-OH-Dayton

Req ID: 1069623