Statistical Programmer, Consultative COA Scoring

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. Role & Responsibilities The Statistical Programmer 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 programming support for the development of new COA measures & endpoints Program classical and modern psychometric analyses and analyses of meaningful thresholds Program high frequency and continuous DHT data collaborate with data scientists to support algorithm validation, and verification of digital measure performance across diverse datasets and devices. About You Knowledge, skills and abilities Candidates must have: (a) statistical and psychometric research skills; and (b) strong computer skills, including Base SAS with macro (R skills, API experience). Connecting to databases with SAS/R, and programming with validation/QC in a regulated environment would be an advantage. 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.