Epidemiological Programmer, Real World Evidence - FSP (Sponsor – Dedicated)
About The Position
IQVIA is expanding its dedicated Real World Evidence (RWE) FSP team, which operates entirely within the environment of a prominent pharmaceutical company. The Epidemiological Programmer role is part of the Real World Solutions team and will be responsible for leading the development of datasets and conducting longitudinal analyses for observational studies in the virology therapeutic area within a specific client portfolio. This role requires demonstrated experience and applied proficiency in observational research using EMR and claims data, strong statistical programming skills, knowledge and applied experience with epidemiological study design, terminology, cohort building, and RWE outcome measures, and experience managing multiple studies and complex analyses. In this position, individuals will have access to real-world databases and will serve as stewards of the client’s best practices, standards, and methodologies for using real-world data (RWD).
Requirements
- Master's Degree in Biostatistics, Epidemiology, Outcomes Research or related field with 5-8 years relevant experience or PhD with 3 years relevant experience required
- Strong track record of analysis of RWD using EMR and claims data
- Demonstrated proficiency in advanced statistical programming using SAS and/or R, macros, SQL required
- Demonstrated experience and applied proficiency of RWE study design, terminology, cohort building, and analytic methodologies
- Prior pharmaceutical experience
- Excellent analytic and communication skills with attention to detail
- Ability to effectively manage and prioritize multiple tasks and projects
Responsibilities
- Lead development of analytic datasets through raw data processing and conduct data checks / cleaning using secondary real world data sources, including claims, EHR, and lab data (e.g. Optum, HealthVerity, TriNetX, IQVIA PharMetrics Plus)
- Lead the feasibility of real-world data sources to characterize patient population, build patient cohorts, and define and validate key variables specific to study objectives.
- Conduct and QC analyses, including identification of diagnosis and treatment codes and applying statistical methods to handle censored data, confounding, differing person-time, and missing data
- Collaborate with epidemiologists on study design and methodology, as well as define specifications for descriptive and complex statistics (e.g. longitudinal analysis, survival analysis, regression models, propensity score methods) in studies using RWD for virology research questions
- Develop and QC TFLs for protocols/reports/manuscripts using RWD (e.g. claims and EHR)
- 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, statistical, and epidemiological expertise and independently bring project solutions to team for complex studies
Benefits
- health and welfare and/or other benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
