Industrial Organizational; I​/O) Psychologist

Position: Industrial Organizational (I/O) Psychologist
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.

Do you thrive on creating unique and impactful value for Federal clients? Are you passionate about partnering with clients and collaborating to create solutions? Do you enjoy the opportunity to drive change that impacts our nation? We are looking for smart, curious, driven individuals to join us in partnering with our client to help them solve some of the nation’s most challenging problems.

ASI Government serves as a trusted adviser to government leaders seeking improved performance, enhanced organization effectiveness, and strategic change.

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.

Key Responsibilities Research Design and Measurement 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.

Passenger Experience Survey Support 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.

Statistical Analysis and Evidence Synthesis 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…