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