Real World Data Statistician I/II
Tasks
- Address missingness data linkage confounding and outcome validation
- Apply causal inference and propensity score methods
- Collaborate with cross functional teams for regulatory submissions
- Conduct statistical analyses for registry based evidence
- Create regulatory briefing documents
- Create statistical analysis plans and analysis specifications
- Develop and validate statistical models for registry data
- Ensure reproducibility and audit readiness
- Perform survival analysis and longitudinal modeling
- Prepare tables figures and listings for regulatory deliverables
Perks/Benefits
Skills/Tech-stack
Causal Inference | Confounding | Data linkage | Longitudinal Modeling | Missing data | Outcome Validation | Propensity score | Python | R | SAS | SQL | Statistical modeling | Survival analysis
Education
Roles
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