Overview

IQVIA provides scientific services spanning clinical trials, real world evidence, and consulting in all areas of the product lifecycle. IQVIA has two teams focused exclusively on amplifying the patient’s voice and enhancing their experiences across their health journey: the Patient-Centered Solutions and Connected Technologies (PACT) team, and the Instrument Licensing Solutions and Patient and Site Strategy (ILS & PASS) team. These teams work closely together to generate patient experience data (PED) through clinical outcome assessments (COAs; including digital health technologies), qualitative research, and patient preference research. The ILS & PASS team has a small group dedicated to thought leadership and COA instrument development. This “science team” is focused on (a) ensuring that sound scientific principles permeate through the research completed by the PACT and ILS & PASS teams, and (b) leading the development, validation, and qualification of COA instruments to collect reliable and interpretable data from patients in medicines development and routine clinical care. The ILS & PASS science team comprises dedicated qualitative scientists and COA development scientists. Presently it does not have a team of dedicated statisticians and psychometricians. Owing to the large body of work – mostly internally funded – the team is recruiting for a Statistics and Psychometrics Lead, one entry-level Statisticians/Psychometrician, and one Statistical Programmer to support the teams’ activities, as described below. The Statistician/Psychometrician and Statistical Programmer roles will report to the Statistics and Psychometrics Lead. The Statistician/Psychometrician role is described below. Role & Responsibilities The Statistician/Psychometrician will be expected to: (1) Empirically develop scoring rules & program scoring algorithms for existing COA measures

• For instruments being added to IQVIA ILS library, generate standard scoring documentation, and program simulation datasets, Data Quality Evaluation (DQE), and scoring of domains on these datasets
• Implement new statistical features in the random generation of data, to simulate real-world instrument data with certain psychometric properties
• Implement new, more advanced statistical capabilities in user tools (Insights Hub, PROCore)
• Work cross-functionally with non-statisticians/psychometricians in the PACT and ILS & PASS teams

(2) Provide statistical support for the development of new COA measures & endpoints

• Program and conduct classical and modern psychometric analyses
• Program and conduct analyses of meaningful thresholds
• Develop, validate, and score DHT-derived measures, and composite scores from multimodal data sources (COA + sensor-derived data).
• Process and model high frequency and continuous DHT data, including time series modelling.
• Collaborate with data scientists to support algorithm validation, and verification of digital measure performance across diverse datasets and devices.

(3) Provide statistical support for the COA Accelerator (COAA) tool

• Support the COA Accelerator team as a subject matter expert for statistics, psychometrics and scoring of COAs
• Review COA Accelerator content in support of client subscriptions

(4) Support thought leadership activities

• Participate in scientific thought exchanges both to develop self and to share relevant experiences with others
• Publish research papers in medical/scientific journals and represent IQVIA at internal and external conferences

About You Knowledge, skills and abilities

• Candidates must have: (a) statistical and psychometric research skills; and (b) strong computer skills (including SAS and R).
• Candidates should demonstrate: (a) excellent written and oral communication skills including grammatical/technical writing skills; (b) critical attention and accuracy with details; and (c) strong individual initiative, organizing skills, and commitment to quality.
• Candidates must be able to: (a) work within a team environment, and to establish and maintain effective working relationships; (b) confidently communicate with, and effectively present information to, internal and external teams; and (c) work in a fast-paced environment with demonstrated ability to effectively manage multiple tasks and projects.
• Candidates should have extensive familiarity and demonstrable experience with AI tools and their application to the topics mentioned above.

Education and experience

• Candidates should have an advanced degree in statistics or psychometrics and an interest in patient-centered research (including COA and/or DHT) and clinical research (pharma

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