Statistical Programmer

Overview

The company 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 science team focuses on ensuring sound scientific principles permeate through research and leading the development, validation, and qualification of COA instruments to collect reliable data from patients in medicines development and routine clinical care.

The Statistical Programmer will be expected to:

• Empirically develop scoring rules & program scoring algorithms for existing COA measures and for instruments added to the company ILS library, generate standard scoring documentation, program simulation datasets, do 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 advanced statistical capabilities in user tools (Insights Hub, PROCore).
• Work cross-functionally with non-statisticians/psychometricians in the PACT and ILS & PASS teams.

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.

• Candidates must have statistical and psychometric research skills and strong computer skills, including Base SAS with macro, R skills, and API experience. Connecting to databases with SAS/R and programming with validation/QC in a regulated environment would be an advantage.
• Candidates should demonstrate excellent written and oral communication skills, critical attention to detail, and strong individual initiative, organizing skills, and commitment to quality.
• Candidates must be able to work within a team environment, establish and maintain effective working relationships, confidently communicate and effectively present information to internal and external teams, and manage multiple tasks and projects in a fast-paced environment.
• Candidates should have extensive familiarity and demonstrable experience with AI tools and their application to the topics mentioned above.

• 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 in the pharmaceutical or healthcare industry.
• Consulting experience with pharmaceutical companies is desirable.