Psychometrician

Lumanity is dedicated to improving patient health by accelerating and optimizing access to medical advances. We partner with life sciences companies worldwide to:

• Generate robust evidence demonstrating product value
• Translate science and data into compelling product narratives
• Enable strategic commercial decisions that position products for market success

Our work spans three complementary areas: Strategy & Insights, Value, Access & Outcomes, and Medical Strategy & Communications.

Our Patient-Centered Outcomes (PCO) team is seeking a Psychometrician to join our growing psychometrics and statistics group. This position can be based in the US preferred, with flexible working arrangements; UK, or EU considered. We are seeking candidates with a proven track record of experience within a life sciences consultancy.

This role is a scientific contributor and subject-matter expert in clinical outcomes assessments (COAs).

The core purpose is to:

• Design and conduct applied research on COAs
• Translate complex data into evidence that meets regulatory, clinical, and payer expectations
• Advise clients and stakeholders on COA strategies used in their drug development pipelines

This is a career-growth opportunity, with the hiring title determined by experience. You will begin by applying your psychometric and statistical expertise on projects under the guidance of senior leaders. As you develop in the role, you will progress independently managing the full research pipeline, from study design through data analysis to final reporting.

Core Job Responsibilities

Scientific Leadership & Study Execution

• Design studies using non-interventional data or provide expert guidance on the design and implementation of COAs in interventional studies, to enable robust psychometric analysis.
• Develop detailed psychometric analysis plans, perform statistical data analyses, interpret findings, and prepare clear, comprehensive reports.
• Compile and author COA dossiers, integrating evidence on instrument design, psychometric properties, and meaningful change thresholds to support regulatory and market access submissions.
• Maintain trusted Sponsor relationships through the delivery of high-quality, scientifically rigorous analyses that are pragmatically designed to meet specific client and program needs, balancing methodological rigor with practical decision-making.

• A master’s and/or doctorate degree in statistics and/or psychometrics with 3 to 5 years of experience at a current life sciences consultancy.
• Formal training in psychometric methodologies, including approaches for evaluating measure structure (e.g., factor analysis, IRT, Rasch) and diverse methods for assessing reliability and validity of scores. Additionally, training in mixed models and longitudinal analysis.
• Domain-specific methodological experience and/or training to establish meaningful change properties of measures (i.e., anchor- and distribution-based methods).
• Comprehensive familiarity with existing regulatory frameworks that often guide the methods chosen to address research question (e.g., FDA’s Patient-Focused Drug Development Guidance Series and other disease-specific guidances, HTA Coordination Group JCA Dossier guidance, and EMA's Reflection paper on patient experience data).
• Proficiency in R, specifically psychometric packages like lavaan and mirt, but also experience with the wider tidyverse series of packages.
• Experience working within a regulated programming environment.
• Experienced in preparing detailed statistical analysis plans and authoring technical reports using standardized templates in Microsoft Word to ensure consistency, accuracy, and efficiency.
• Exceptional written and verbal communication skills, with the ability to translate complex statistical and psychometric concepts into clear, actionable insights for diverse audiences.
• Strong problem-solving abilities and adaptability in dynamic, fast-paced project environments.
• Skilled in partnering with clients during high-stakes projects, balancing responsiveness and scientific rigor to meet critical deadlines and achieve agreed objectives.
• Proven ability to work respectfully and effectively with cross-functional teams in mixed-methods research settings, providing psychometric expertise to guide design, analysis, and interpretation.
• Experience utilizing emerging AI technologies to scale statistical programming capabilities and to refine and accelerate scientific writing, ensuring high-quality outputs with greater efficiency.

We offer our employees a comprehensive benefits package that focuses on what matters to you – health and well-being, personal finances, professional development, and a healthy work/life balance:

• Competitive salary plus bonus scheme
• Medical, dental, and vision insurance options
• 401(k) plan with employer match
• Generous amount of paid time off annually + 10 paid holidays
• Flexible spending accounts for health and dependent care
• Employee Assistance Program
• Paid short-term and long-term disability coverage and more

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