Sr Statistical Programmer (Oncology), Real World Evidence – FSP

IQVIA•Durham, NC

1d•Remote

About The Position

IQVIA is expanding its dedicated Real-World Evidence (RWE) FSP team by hiring a Senior Statistical Programmer for Oncology. This role operates within the environment of a prominent pharmaceutical company and focuses on leading the development of datasets and conducting longitudinal analyses for observational studies in oncology. The ideal candidate will have prior experience in observational research using EMR and claims data, particularly for safety analyses, coupled with strong statistical programming skills and experience managing multiple studies and complex analyses. This position offers access to real-world databases and requires adherence to the client's best practices, standards, and methodologies for using real-world data (RWD).

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.
Strong track record of analysis of RWD using claims, EMR, and lab data (Tempus, Flatiron or PharMetrics Plus is preferred).
Experience analyzing oncology data and safety outcomes is preferred.
Demonstrated proficiency in advanced statistical programming using SAS and/or R, macros, SQL.
Prior pharmaceutical experience and advanced knowledge of observational research study design and analytic methodologies.
Excellent analytic and communication skills with attention to detail.
Ability to effectively manage and prioritize multiple tasks and projects.

Nice To Haves

Prior experience in observational research utilizing EMR and claims data, particularly in safety analyses.
Strong statistical programming skillset and experience managing multiple studies and complex analyses.
Experience with PharMetrics Plus, Flatiron, or Tempus data sources.
Experience analyzing oncology data and safety outcomes.

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., PharMetrics Plus, Flatiron, Tempus).
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, identification of diagnosis and treatment codes and applying statistical methods to handle censor data, 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 oncology research questions, including safety analyses.
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, and statistical expertise and independently bring project solutions to team for complex studies.