Responsibilities will include supporting the research team in designing and overseeing studies of reliability, validity, measurement invariance, item functioning, growth, and sensitivity to intervention effects, while applying appropriate modern psychometric and statistical approaches, including Item Response Theory (IRT), Classical Test Theory, multilevel and structural equation modeling, latent growth modeling, and Bayesian methods. The ideal candidate will bring advanced training in psychometrics, quantitative psychology, educational measurement, statistics, biostatistics, or a related field; substantial experience with assessment development, validation, advanced statistical modeling, and large and complex datasets; and strong quantitative programming and communication skills.