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About the Role

This role serves as a scientific lead for the interpretation, documentation, and governance of Clinical Outcome Assessment (COA) scoring algorithms. The position is responsible for translating complex source materials into scientifically robust, implementation-ready requirements, while resolving ambiguity in scoring logic, missing-data handling, and interpretation. This role acts as a critical bridge between COA source documentation and downstream teams, ensuring scoring methodologies are accurately implemented, clinically meaningful, and aligned with validated instrument standards. It also contributes to strengthening IQVIA’s scoring capability by developing reusable scientific assets, standardized documentation practices, and governance frameworks.

Responsibilities

Provide scientific leadership across COA evaluation and implementation, applying expertise in measure development, instrument documentation, scoring methodology, and interpretation.
Contribute to high-quality COA science by supporting methodological best practices, reviewing scientific deliverables, collaborating with cross-functional teams, and strengthening scalable processes.
Interpret scoring manuals, instrument documentation, publications, and related source materials to define scientifically valid, implementation-ready scoring requirements.
Define and document missing-data handling rules, minimum completion thresholds, suppression logic, and other algorithm requirements where source guidance is incomplete, ambiguous, or complex.
Assess and document interpretation guidance associated with COA scores, including severity bands, score meaning, benchmarks, and other clinically relevant interpretation outputs.
Identify, evaluate, and resolve ambiguities in scoring methodology, escalating appropriately when scientific judgement, author clarification, or senior SME input is required.
Partner with statisticians, programmers, product, and engineering teams to translate scientific requirements into validated scoring implementations.
Investigate discrepancies, implausible outputs, and scoring-related issues to determine root cause and support robust resolution.
Serve as the scientific point of contact for internal queries related to scoring logic, interpretation, algorithm complexity, and implementation feasibility.
Contribute to standard templates, SOPs, review checklists, and reusable scientific assets that improve the quality, consistency, and scalability of scoring operations.

Requirements

Advanced degree (PhD, MSc, MPH, PharmD, psychology, outcomes research, public health, psychometrics, epidemiology, health sciences, or related discipline).
Minimum 7 years of relevant experience in COA science, outcomes research, psychometrics, patient-centred research, or closely related scientific roles within pharma, CRO, healthcare research, or instrument development.
Experience with instrument development, validation, psychometric evidence, or interpretation / meaningful-change work.
Deep familiarity with COA concepts, including domains, scoring structures, recall periods, missing-data rules, interpretation, and fit-for-purpose use in clinical research.
Strong, demonstrable experience interpreting and applying scoring methodologies for clinical outcome assessments, including at least some experience beyond simple sum or average scoring.
Demonstrable experience translating scientific source materials into structured documentation, specifications, reports, or implementation guidance.
Ability to evaluate ambiguous or incomplete source documentation and make sound, well-documented scientific judgements or escalations.
Strong stakeholder management skills and ability to work across scientific, operational, quantitative, and technical teams.
Excellent written English and strong documentation discipline.
Experience supporting regulated or audit-sensitive clinical research workflows.
Experience supervising or reviewing work from more junior scientists, analysts, or cross-functional partners.
This role is not open to visa sponsorship.

Skills

COA science
Outcomes research
Psychometrics
Patient-centred research
Instrument development
Instrument validation
Psychometric evidence
Interpretation
Meaningful-change work
COA concepts
Scoring structures
Recall periods
Missing-data rules
Fit-for-purpose use in clinical research
Scoring methodologies
Scientific documentation
Stakeholder management
Written English
Documentation discipline

Location

Remote

Work Type

Full-time

Experience Level

Senior
Minimum 7 years

Education Level

Advanced degree (PhD, MSc, MPH, PharmD, psychology, outcomes research, public health, psychometrics, epidemiology, health sciences, or related discipline)

About the Company

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries.
We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide.
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud.
All information and credentials submitted in your application must be truthful and complete.
Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law.
We appreciate your honesty and professionalism.