Industrial Organizational (I/O) Psychologist

ASI Government•Springfield, VA

About The Position

ASI Government provides government leaders with the expertise they need to navigate acquisition and organizational challenges so they can make an impact and achieve their goals. For over 30 years, ASI has transformed the way government does business, impacting over 70 government agencies across the civilian, defense, and intelligence communities. ASI is seeking an Industrial Organizational Psychologist to support behavioral science, performance measurement, and evidence-based service improvement for the Transportation Security Administration. The consultant will work with ASI and client leaders, survey researchers, data analysts, dashboard developers, communications specialists, and process improvement practitioners to design rigorous measurement approaches, analyze human-centered data, and translate findings into practical recommendations for leaders and operational stakeholders. This is an early-to-mid-career role with meaningful ownership and access to senior technical guidance. The strongest candidate will combine sound I/O psychology methods with curiosity, clear communication, and the ability to work across disciplines. Broad experience in organizational development, performance management, leadership or behavioral assessment, and executive advising would be valuable, but the role does not require the depth of experience expected of a senior I/O psychologist or independent practice leader.

Requirements

Master's degree in industrial organizational psychology or a closely related behavioral science field with substantial graduate-level training in I/O psychology, research methods, psychometrics, and statistics.
Approximately four to seven years of relevant applied experience in I/O psychology, behavioral science, survey research, assessment, performance measurement, organizational research, consulting, or a related field.
Demonstrated experience designing or evaluating surveys, assessments, rating scales, observational tools, interviews, focus groups, or other human-centered research methods.
Working knowledge of validity, reliability, measurement error, sampling, bias, subgroup analysis, research ethics, and the appropriate interpretation of quantitative and qualitative evidence.
Experience applying statistical techniques and using at least one analytical platform such as SPSS, R, Python, SAS, Stata, or an equivalent tool, along with strong Microsoft Excel skills.
Ability to synthesize complex evidence and communicate findings, limitations, and recommendations clearly to technical and nontechnical audiences.
Strong writing, presentation, collaboration, critical thinking, attention to detail, and the ability to manage multiple priorities and produce accurate work under established and, at times, tight deadlines.
Ability to obtain and maintain the applicable Department of Homeland Security fitness determination, Public Trust, facility access, and system access.

Nice To Haves

Doctoral degree or progress toward a doctorate in industrial organizational psychology, business psychology, organizational psychology, or a closely related field.
Experience in data visualization tools such as PowerBI or Tableau
Experience supporting a Federal Government, Department of Homeland Security, transportation, national security, or other large mission-oriented organization.
Experience with large-scale survey administration, longitudinal research, multilevel or clustered data, text analytics, data visualization, or dashboard development.
Experience in performance management, organizational development or design, employee or customer experience, leadership assessment, behavioral assessment, workforce research, training evaluation, or change measurement.
Experience helping leaders use behavioral or performance data to make decisions and communicate accountability, improvement priorities, or organizational outcomes.

Responsibilities

Apply I/O psychology and behavioral science principles to the design, refinement, and evaluation of customer experience, employee behavior, service delivery, and performance measures.
Support development of scientifically sound surveys, observation tools, interview and focus group protocols, rating scales, and other quantitative and qualitative research instruments.
Help define measurable constructs and translate broad concepts such as trust, professionalism, respect, hospitality, confidence, clarity, and service quality into clear indicators and observable behaviors.
Review measurement approaches for validity, reliability, fairness, bias, clarity, respondent burden, and alignment with the intended decision or operational use.
Develop research plans, analysis plans, data dictionaries, scoring guidance, quality-control procedures, and methodological documentation that support consistent administration and interpretation.
Support the full Passenger Experience Survey lifecycle, including instrument design, cognitive and usability review, Paperwork Reduction Act documentation, administrator training, quality controls, data review, analysis, reporting, and airport-level follow-up.
Preserve longitudinal comparability while helping the team evaluate proposed survey changes, subgroup analyses, airport classifications, screening channels, traveler characteristics, and emerging measurement.
Collaborate with the project manager and technical leads to identify methodological risks, clarify assumptions, document decisions, and keep research activities aligned with milestones and deliverables.
Help interpret national and airport-level results and support retrospectives that connect findings to operational strengths, service barriers, improvement opportunities, and practical action planning.
Conduct and document appropriate descriptive and inferential analyses, which may include scale evaluation, reliability analysis, correlations, confidence intervals, subgroup comparisons, factor analysis, trend analysis, and other methods suited to the research question and data.
Analyze quantitative results alongside open-ended feedback, observational data, operational information, and other approved sources to develop a coherent view of performance and experience.
Partner with data analysts and visualization specialists to validate calculations, define measures, review dashboard logic, identify data-quality concerns, and ensure visualizations accurately represent the underlying data.
Clearly communicate analytical limitations, uncertainty, appropriate interpretation, and the difference between correlation, association, and causal evidence.
Maintain reproducible analysis files, documentation, and quality checks using Government-approved tools and platforms.
Support development and refinement of observable behavior frameworks that connect passenger perceptions, supervisory observations, training, coaching, and operational improvement.
Help evaluate whether measurement tools and improvement efforts are producing the intended changes in behavior, customer experience, trust, service quality, and related performance outcomes.
Translate findings into practical recommendations for communications, training, coaching, job aids, process changes, measurement updates, or additional research.
Contribute behavioral science expertise to emerging quality assurance, service delivery, traveler support, workforce, and process improvement initiatives.
Support structured action planning and feedback loops that allow leaders and field stakeholders to test, learn, adjust, and sustain improvements.
Develop clear technical reports, executive summaries, briefing slides, research readouts, methodological notes, and recommendations for technical and nontechnical audiences.
Explain complex measures and analytical results in plain language so leaders can use dashboards and research findings to strengthen accountability, efficiency, trust, and service delivery.
Collaborate with the team on OMB Circular A-11 Section 280, Government Service Delivery Improvement Act, DHS, TSA, and other applicable customer experience and performance reporting needs.
Support rapid-turn ad hoc insight reports by helping define the question, select an appropriate method, analyze available evidence, identify limitations, and develop decision-relevant findings.
Review reports, dashboards, and communications for methodological accuracy, consistent data values, defensible claims, and appropriate use of behavioral science terminology.
Participate in client meetings, research discussions, working sessions, and airport retrospectives; build productive relationships and clearly document decisions, assumptions, unresolved questions, and next steps.
Work collaboratively across survey research, project management, analytics, visualization, communications, organizational development, and process improvement activities rather than treating behavioral science as a stand-alone function.
Manage assigned tasks and small workstreams with reliable follow-through, communicate risks or competing priorities early, and seek senior review when methodological or client judgment warrants it.