Posted today
Top Secret
Unspecified
Healthcare and Science
University of Maryland, MD (On/Off-Site)
Overview:
The UARC is seeking an experienced and cleared hourly Experimental or Human Factors Psychologist who can move easily between semi-structured/structured interviews to advanced mixed-methods analysis, and from complex operational data to validated, defensible system requirements. The role supports national-security R&D inside secure environments, translating real cognitive work and mission constraints into actionable design, acquisition, and evaluation guidance.
Key Responsibilities:
• Plan and execute structured interviews, contextual inquiry, and observational studies with cleared mission personnel in classified environments; transform raw qualitative data into structured datasets suitable for statistical and thematic analysis.
• Conduct comprehensive qualitative analyses using coding frameworks, inter-rater reliability checks, and model-driven interpretations of operator behavior.
• Lead quantitative analyses including workload modeling, statistical comparisons, performance measurement, signal detection analyses, task-time decompositions, and multivariate analyses to uncover true drivers of user needs.
• Integrate mixed-methods findings (qual + quant) to generate validated operational requirements and performance metrics.
• Create cognitive task analyses, decision models, error taxonomies, and workload profiles grounded in empirical data.
• Develop usability metrics, reliability measures, and analytic dashboards for formative and summative evaluations of prototypes and deployed systems.
• Run usability tests with controlled experimental designs; analyze outcomes statistically to determine effect sizes, usability risks, and design tradeoffs.
• Produce analytical reports, visualizations, personas, scenario models, and requirements documents for government sponsors and engineering teams.
• Ensure all data handling, storage, and analysis meet SCI-level protocols and human subjects requirements.
• Work closely with engineering, HCI, data science, and operations research staff to embed human-system performance models into system development and evaluation cycles.
Required Qualifications:
• PhD or Master’s degree in Experimental Psychology, Human Factors Psychology, Cognitive Psychology, HCI, or a related field.
• Demonstrated expertise in both qualitative and quantitative data analysis, including experience with coding software (NVivo, Dedoose, MAXQDA) and statistical tools (R, Python, SPSS, JMP).
• Proven ability to translate analytical findings into system and interface requirements for mission-critical environments.
• Strong foundation in experimental design, psychometrics, human performance modeling, and usability measurement.
• Experience conducting research and analysis in classified environments.
• Active TS, with SCI eligibility or ability to obtain/maintain SCI eligibility.
The UARC is seeking an experienced and cleared hourly Experimental or Human Factors Psychologist who can move easily between semi-structured/structured interviews to advanced mixed-methods analysis, and from complex operational data to validated, defensible system requirements. The role supports national-security R&D inside secure environments, translating real cognitive work and mission constraints into actionable design, acquisition, and evaluation guidance.
Key Responsibilities:
• Plan and execute structured interviews, contextual inquiry, and observational studies with cleared mission personnel in classified environments; transform raw qualitative data into structured datasets suitable for statistical and thematic analysis.
• Conduct comprehensive qualitative analyses using coding frameworks, inter-rater reliability checks, and model-driven interpretations of operator behavior.
• Lead quantitative analyses including workload modeling, statistical comparisons, performance measurement, signal detection analyses, task-time decompositions, and multivariate analyses to uncover true drivers of user needs.
• Integrate mixed-methods findings (qual + quant) to generate validated operational requirements and performance metrics.
• Create cognitive task analyses, decision models, error taxonomies, and workload profiles grounded in empirical data.
• Develop usability metrics, reliability measures, and analytic dashboards for formative and summative evaluations of prototypes and deployed systems.
• Run usability tests with controlled experimental designs; analyze outcomes statistically to determine effect sizes, usability risks, and design tradeoffs.
• Produce analytical reports, visualizations, personas, scenario models, and requirements documents for government sponsors and engineering teams.
• Ensure all data handling, storage, and analysis meet SCI-level protocols and human subjects requirements.
• Work closely with engineering, HCI, data science, and operations research staff to embed human-system performance models into system development and evaluation cycles.
Required Qualifications:
• PhD or Master’s degree in Experimental Psychology, Human Factors Psychology, Cognitive Psychology, HCI, or a related field.
• Demonstrated expertise in both qualitative and quantitative data analysis, including experience with coding software (NVivo, Dedoose, MAXQDA) and statistical tools (R, Python, SPSS, JMP).
• Proven ability to translate analytical findings into system and interface requirements for mission-critical environments.
• Strong foundation in experimental design, psychometrics, human performance modeling, and usability measurement.
• Experience conducting research and analysis in classified environments.
• Active TS, with SCI eligibility or ability to obtain/maintain SCI eligibility.
group id: 91122244
