Real World Data Statistician I/II
Tasks
- Align analyses with regulatory expectations
- Build longitudinal models for registry data
- Conduct data quality assessment and cohort construction
- Create reproducible audit ready statistical reports
- Design implement validate survival analysis
- Develop registry based evidence strategies
- Handle missing data and data linkage issues
- Perform causal inference using propensity scores
- Prepare regulatory quality statistical deliverables
Perks/Benefits
- N/A
Skills/Tech-stack
Causal Inference | Cohort construction | Data Quality | Data linkage | Data quality assessment | Epidemiology | Longitudinal Modeling | Missing data | Propensity Score Matching | Propensity score | Python | Quality Assessment | R | SAS | SQL | Score Matching | Survival analysis
Education
Roles
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