Real World Data Statistician I/II
Tasks
- Address missingness and data quality issues
- Apply causal inference and propensity score methods
- Build longitudinal models
- Communicate statistical findings to cross functional teams
- Conduct statistical analyses for registry data
- Create regulatory tables figures and listings
- Develop statistical analysis plans
- Develop statistical models for registry evidence
- Ensure reproducibility and audit readiness
- Perform survival analysis
- Prepare regulatory briefing documents
- Support data linkage and cohort construction
Perks/Benefits
- N/A
Skills/Tech-stack
Causal Inference | Cohort construction | Data Quality | Data linkage | Data quality assessment | Longitudinal Modeling | Missing data | Propensity score | Python | Quality Assessment | R | SAS | SQL | Survival analysis
Education
Master of Science | Master of Science in Biostatistics | Master of Science in Epidemiology | Master of Science in Statistics | PhD
Roles
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