Senior Psychometrician

About This Role

This Senior Psychometrician role involves providing strategic and technical leadership within interdisciplinary research teams, focusing on the development, evaluation, and application of clinical outcome assessments. The position guides psychometric and outcomes research strategies for clients, including participation in regulatory interactions, and is responsible for designing, implementing, and interpreting various technical analyses.

Responsibilities

• Provide strategic scientific leadership on psychometric and outcomes research programs, including study design, endpoint selection, regulatory strategy, interpretation of evidence, and client decision-making
• Design, oversee, and conduct classical and modern psychometric analyses, interpretation of meaningful within-patient change, and advanced statistical analyses to support the development, evaluation, and regulatory acceptance of clinical outcome assessments
• Accurately analyse, interpret, and clearly communicate psychometric results to clients within specified deadlines
• Produce high-quality psychometric analysis plans, technical reports, and manuscripts
• Lead and contribute to proposals, thought leadership initiatives, methodological innovation, and business development activities that support growth of the PCOA practice
• Communicate effectively (via email, telephone, and in-person) with clients and team members

Requirements

• Master’s degree in quantitative psychology, statistics, biostatistics, or related field with at least 10 years of directly related experience, or a PhD and a minimum of 5 years of directly related experience
• Extensive experience independently preparing psychometric analysis plans and reports of clinical outcome assessments for regulatory review
• Demonstrated proficiency in SAS and/or R programming (expertise in both strongly preferred), along with experience using latent variable and psychometric modeling software packages
• Significant experience related to the psychometric evaluation of outcome measures, including classical psychometric methods (e.g., evaluations of test-retest reliability and internal consistency), exploratory and confirmatory factor analysis, and Rasch Measurement and/or Item Response Theory
• Experience implementing hierarchical linear modeling, repeated measures models, mixture models
• Demonstrated ability to work well independently and as team leader
• Excellent analytical and communication skills (both written and oral)
• Experience supporting regulatory submissions and interactions with health authorities related to clinical outcome assessments, endpoint strategies, psychometric evidence, or patient-focused drug development initiatives

Important Details

• Work format: office-based, hybrid, or remote