STATISTICAL PROGRAMMER
Role details
Job location
Tech stack
Job description
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 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.
Requirements
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., * Candidates should have an advanced degree 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.
Physical requirements
- Candidates can expect to use telephone [and face-to-face] communication extensively, requiring accurate perception of speech. Extensive use of a keyboard is also expected, requiring repetitive motion of fingers. Candidates will also need to sit for extended periods of time (daily), and travel as required (<10%).
