Real World Biostatistician - RWE CMH experience
Tasks
- Analyze EMR and claims data
- Apply healthcare coding systems
- Conduct sample size estimation
- Design real-world evidence studies
- Develop external control arms
- Develop statistical methodologies for causal inference
- Execute observational studies analysis
- Integrate machine learning into RWE
- Perform trial emulation
- Run power calculations
- Translate analytic results into decision insights
Perks/Benefits
- Career development
- Inclusive culture
- Peer recognition
- Supportive line management
- Technical and therapeutic training
- Total rewards program
Skills/Tech-stack
Borrowing strategies | Causal Inference | Claims data | Coding Systems | EMR | External Control | External Control Arm | GLM | GLMM | Healthcare coding | Healthcare coding systems | ICD | MMRM | Machine Learning | Matching | NDC | OMOP | Power analysis | Propensity Score Matching | Propensity Score Weighting | Propensity score | Python | R | Random Forest | RxNorm | SAS | SNOMED | SQL | Sample Size | Sample Size Calculation | Score Matching | Survival analysis | Trial Emulation
Education
Roles
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