Bidders – Please note that you will be required to provide an updated resume to the hiring supervisor/manager for this position.

The Lead Psychometrician will lead psychometric and measurement science for the MnCHOICES assessment. The incumbent is responsible for: • for leading the evaluation and ongoing monitoring of the reliability, validity, fairness and integrity of the MnCHOICES assessment used to determine long-term services and supports (LTSS) eligibility and resource allocation across Minnesota’s disability and aging programs • Provide expert-level leadership in psychometric analysis, measurement theory, and assessment validation within a large, complex administrative data system • Ensure that assessment instruments used for eligibility determination and resource allocation are statistically sound, consistently applied across assessors and populations, and supported by rigorous evidence of reliability, validity and equity The position operates within the LTSS Data Foundations Team and collaborates closely with developers, analysts, business intelligence staff, policy teams and external partners to lead processes that build confidence that assessment data are accurate, defensible, and fit for operational, eligibility and resource allocation use.

Three years of professional experience applying psychometrics, measurement theory, and advanced statistical methods to the design, development, evaluation, or ongoing monitoring of assessment systems or similar measurement instruments. Experience must include: • Evaluating the reliability, validity, fairness, and measurement performance of large-scale assessments or similar measurement systems. • Applying advanced psychometric and statistical methods such as factor analysis, item response theory (IRT), reliability estimation, regression modeling, differential item functioning, simulation, or comparable methods. • Using statistical programming languages such as R, SAS, Python, or comparable tools to analyze large and complex assessment datasets. • Experience leading or directing assessment evaluation or measurement-related work including Interpreting technical findings and developing recommendations that includes downstream impacts regarding assessment design, measurement quality, and the operational use of assessment results

Experience conducting simulation, sensitivity, validation, or impact analyses to assess how changes to assessment items, scoring methods, scales, algorithms, or decision rules affect results. Experience conducting equity or subgroup analyses to identify differences in assessment performance or outcomes across populations. Experience developing or implementing assessment monitoring, validation, quality assurance, or governance processes. Experience managing contractors or providing technical oversight of external partners responsible for psychometric, assessment, research, or evaluation work. Experience working with Medicaid, long-term services and supports, disability services, aging programs, or other public-sector eligibility or resource allocation systems. Variety of experiences working effectively with others from different backgrounds and/or cultures