Operations Research Technical Reviewer

Job Details

Job Location:

SIERTEK LTD - BEAVERCREEK, OH 45431

Position Type:
Part Time Job Shift: Day

SierTeK proudly serves our clients by providing expertise in the Program Management, Information Technology, and Administrative Support domains. Founded in 2007 as a minority and service-disabled veteran-owned company, we serve as prime- and subcontractor for a multitude of Federal Department of Defense contracts. By focusing on continual improvement, our services remain at the forefront of our industry, and we pride ourselves on delivering our services with the highest degree of integrity.

SierTeK Ltd. is seeking an Operations Research Technical Reviewer (Operations Research Analyst/Mathematician/Statistician) to support an opportunity remotely (part-time).

We are seeking an experienced Operations Research Technical Reviewer to support the U.S. Air Force School of Aerospace Medicine (USAFSAM) and Department of the Air Force (DAF) studies involving health outcomes, accession standards, medical waiver policies, readiness, retention, and force health analytics.

The successful candidate will provide advanced statistical and operations research expertise to analyze complex healthcare and military datasets, develop predictive and statistical models, validate analytical methodologies, and communicate findings to Air Force leadership and stakeholders. This position requires strong experience in biostatistics, healthcare analytics, SAS programming, study design, and military medical data environments.

• Provide subject matter expertise in statistical analysis evaluating the long-term impacts of accession medical conditions on:
• Duty performance
• Retention
• Readiness
• Force health outcomes
• Conduct advanced statistical analyses of healthcare and medical datasets.
• Develop, modify, and analyze datasets using SAS Enterprise Guide (SAS EG).
• Apply statistical methodologies to evaluate relationships between medical conditions, accession standards, and operational outcomes.
• Develop theoretically driven statistical models to evaluate relationships among variables within Air Force medical data environments.

• Collect, validate, transform, and integrate data from multiple government databases.
• Access and analyze medical records and operational datasets in accordance with approved data-sharing agreements.
• Perform data mapping between source systems and analytical datasets.
• Develop:
  • Data dictionaries
  • Data storage requirements
  • Data structures
  • Analytical datasets
• Create and maintain datasets supporting statistical modeling, analysis, and publication.
• Apply appropriate stratification methods using:
  • ICD codes
  • Medical classifications
  • Operational criteria
  • Other relevant health indicators

• Assist in developing and evaluating statistical models supporting Air Force accession waiver policy analysis.
• Perform validation and verification activities to ensure analytical products meet requirements.
• Identify model performance issues and assist with corrective actions.
• Evaluate analytical methods, assumptions, and study outputs for accuracy and reliability.
• Provide technical oversight of methodologies, analyses, and reports.

• Scope analytical projects and support project planning activities.
• Develop and monitor:
  • Project timelines
  • Milestones
  • Deliverables
  • Progress reports
• Document analytical processes, statistical methodologies, and computer code.
• Maintain programming documentation in accordance with USAFSAM standards and commercial best practices.
• Prepare technical documentation for government review and future reuse.

• Participate as a health statistics subject matter expert in interdisciplinary research teams.
• Support professional conferences through:
  • Poster development
  • Presentations
  • Peer-reviewed publications
• Prepare briefings and reports for:
  • Air Force Recruiting Service (AFRS)
  • USAFSAM leadership
  • Department of the Air Force stakeholders
• Translate complex analytical findings into actionable information for decision-makers.

• Provide automation…