Statistics Programmer Jobs in Raleigh, NC (NOW HIRING)

Job Overview

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.

Essential Functions

• 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

Qualifications

• 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
• Prior pharmaceutical experience and virology experience are a plus
• Excellent analytic and communication skills with attention to detail
• Ability to effectively manage and prioritize multiple tasks and projects

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more athttps://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.