Sr Statistical Programmer (Virology), Real World Evidence - FSP
About The Position
IQVIA is hiring to expand our dedicated Real-World Evidence (RWE) FSP team, working fully embedded within a leading pharmaceutical client in their virology therapeutic area. This Epidemiological Programmer role, within the Data Science, Analytics, and Technology Solutions (DATS) team, will lead dataset development and analyses for observational studies within a single client portfolio. The role includes integrating patient-reported outcomes (PRO) with clinical endpoints, linking survey and real-world data to generate actionable insights, and ensuring the quality of survey and cohort datasets. Individuals in this role will apply expertise in survey methodology and cohort study design to support multi-study analytics and implementation-focused outputs.
Requirements
- Master's Degree in Biostatistics, Epidemiology, Data Science or related field with 5–8 years relevant experience or PhD with 3 years relevant experience required
- Strong experience with patient-reported outcomes (PRO) analysis and integration with clinical endpoints
- Demonstrated proficiency in advanced statistical programming using SAS and/or R, macros, SQL required
- Excellent analytic and communication skills with attention to detail
- Ability to effectively manage and prioritize multiple tasks and projects
Nice To Haves
- Prior pharmaceutical experience and virology experience are a plus
Responsibilities
- Lead the analysis of patient-reported outcomes (PRO) and integrate findings with primary and secondary clinical outcomes
- Link survey data with real-world data (RWD) to generate actionable, decision-ready insights
- Monitor and ensure the quality, consistency, and integrity of survey and cohort datasets
- Apply expertise in survey methodology and cohort study design to support multi-study analytics and delivery of implementation-focused outputs
- Collaborate cross-functionally to translate analytical results into clear, impactful insights for stakeholders
- Conduct and QC analyses, including identification of diagnosis and treatment codes and applying statistical methods to handle censoring, confounding, and missing data
- Collaborate with epidemiologists to define specifications for descriptive and complex statistics (e.g., longitudinal analysis, survival analysis, regression models) in studies using RWD for research questions
- Develop and QC TFLs for protocols, reports, and manuscripts using RWD
- Support development of other study documents including protocols, statistical analysis plans, and study reports
- Communicate timelines, progress reports, and results to project team and key stakeholders
- Provide technical, programming, and statistical expertise and independently bring project solutions to team for complex studies
- Demonstrate familiarity with both primary and secondary data analyses, including experience working with EMR and claims data
Benefits
- health and welfare and/or other benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
