Senior Real World Data Statistician I/II
Tasks
- Apply survival analysis and causal inference
- Collaborate with clinical, epidemiology, regulatory, and registry teams
- Conduct propensity score and longitudinal modeling
- Create regulatory briefing documents
- Define registry evidence strategy
- Develop analysis specifications tables figures and listings
- Develop and validate registry statistical models
- Drive reproducibility and audit readiness
- Ensure alignment with FDA RWE framework and EMA registry guidance
- Implement missingness data linkage confounding and outcome validation methods
- Lead regulatory grade statistical analyses
- Prepare statistical analysis plans
- Support health authority advisory and regulatory interactions
- Translate analytical results into advisory narratives
Perks/Benefits
- N/A
Skills/Tech-stack
Biostatistics | Causal Inference | Confounding | Data linkage | Epidemiology | Longitudinal Modeling | Missing data | Outcome Validation | Propensity Score Matching | Propensity score | Python | R | SAS | SQL | Score Matching | Survival analysis
Education
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