Senior COA Scientist, Scoring & Interpretation

Location: London, United Kingdom

Company

hirify.global provides clinical research services, commercial insights, and healthcare intelligence for the life sciences and healthcare industries.

What you will do

• Lead the scientific interpretation, documentation, and governance of Clinical Outcome Assessment scoring algorithms.
• Translate scoring manuals, publications, and author guidance into scientifically valid, implementation-ready requirements.
• Define missing-data handling, completion thresholds, suppression logic, derivations, transformations, weighting, and conditional scoring rules.
• Assess score interpretation guidance, including severity bands, score meaning, benchmarks, and clinically relevant outputs.
• Partner with statisticians, programmers, product, and engineering teams to validate scoring implementations and resolve discrepancies.
• Develop standard templates, SOPs, review checklists, and reusable scientific assets for scalable scoring operations.

Requirements

• Advanced degree in outcomes research, psychometrics, epidemiology, public health, psychology, health sciences, or a related discipline.
• At least 7 years of relevant experience in COA science, outcomes research, psychometrics, patient-centred research, pharma, CRO, healthcare research, or instrument development.
• Experience with instrument development, validation, psychometric evidence, or meaningful-change interpretation.
• Deep familiarity with COA domains, scoring structures, recall periods, missing-data rules, and clinical research use.
• Ability to evaluate ambiguous source documentation and make well-documented scientific judgements or escalations.
• Strong written English is required, and the CV must be submitted in English. This role is not open to visa sponsorship.

Nice to have

• Experience supporting regulated or audit-sensitive clinical research workflows.
• Experience supervising or reviewing the work of junior scientists, analysts, or cross-functional partners.

Culture & Benefits

• Work cross-functionally with scientific, operational, quantitative, and technical stakeholders.
• Contribute to methodological best practices and scalable scientific processes.
• Support consistent, high-quality deployment of scoring solutions across delivery models and technologies.