Hybrid Senior Consultant, Statistics – Psychometrics

at IQVIA

• Job title: Senior Consultant, Statistics – Psychometrics
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Location requirements: Hybrid, London, United Kingdom

About the role

• Senior Psychometrician evaluating Clinical Outcome Assessment instruments for clinical trials. Responsible for project management and quality analysis in a consulting firm.

Responsibilities

• The Senior Psychometrician will be responsible for the on-time completion and the scientific soundness of projects or components of large, complex projects focusing on the psychometric evaluation of Clinical Outcome Assessment (COA) instruments used in clinical trials.
• Plans, organizes, and manages resources to bring about the successful completion of specific project goals and objectives.
• Executes high quality research and analysis of psychometric projects.
• Designs, structures and delivers client reports and presentations.
• Develops client relationships through face-to-face discussions or workshops, telephone or email contact.
• Identifies opportunities for follow-on work and new leads.
• Supports the development of intellectual property for use on future engagements.
• Supports development of proposals focusing on psychometric approaches of COAs and/or digital health technology.
• Develops broader and deeper knowledge of consulting methodologies and pharmaceutical market through on the job experience and training.
• Coaches project team members and supporting them to fulfill their personal objectives.
• Coaches junior staff (not just in projects).
• Leads some learning, development and recruiting activities.

Requirements

• Master’s degree in statistics, biostatistics, psychometrics, and/or quantitative psychology or related field with at least 10 years of related experience, or a PhD with a minimum of 5 years of related experience.
• Experience in consulting, pharmaceutical and/or healthcare industry with evidence of career progression.
• Demonstrated experience using SAS and/or R and expertise in one latent variable software package (e.g., MPLUS).
• 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/or Item Response Theory.
• Experience working with longitudinal datasets.
• A track record in teamwork and in developing and leading people.
• A willingness or ability to travel.

Benefits

• International work environment
• Professional development opportunities