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About the Role
This senior data analyst role is part of the Data Science, Analytics, and Technology Solutions (DATS) team, focusing on leading the development of datasets and conducting longitudinal analyses for observational studies in oncology. The role involves working within the environment of a prominent pharmaceutical company and utilizing real-world databases while adhering to client best practices.
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 (must have experience in PharMetrics Plus, Flatiron, or 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.
Requirements
- Prior experience in observational research utilizing EMR and claims data, particularly in safety analyses.
- Strong statistical programming skillset.
- Experience managing multiple studies and complex analyses.
- 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 R Programming.
- 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.
Skills
- Statistical programming
- R Programming
- Observational research
- EMR data analysis
- Claims data analysis
- Safety analyses
- Longitudinal analysis
- Survival analysis
- Regression models
- Data cleaning
- Data validation
- Communication skills
- Project management
Location
- Remote
Work Type
- Full-time
Experience Level
- Senior
- 5-8 years relevant experience (Master's)
- 3 years relevant experience (PhD)
Education Level
- Master's Degree
- PhD
About the Company
- 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.
Equal Opportunity
- 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.