The Statistician/Psychometrician and Statistical Programmer roles will report to the Statistics and Psychometrics Lead. The Statistical Programmer role is described below.

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.
• 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 a relevant qualification in statistics or psychometrics, experience in statistical programming, and an interest in patient-centered research (including COA and/or DHT) and clinical research (pharmaceutical, or healthcare industry).
• Consulting experience with pharmaceutical companies is desirable.

This role is not eligible for UK visa sponsorship