RWE Data Scientist
Tasks
- Analyze healthcare data from clinical trials claims and EHR
- Conduct causal inference and comparative effectiveness research
- Develop machine learning models for real world evidence
- Implement computational and statistical methodologies for advanced analytics
- Lead end to end RWE studies using real world data
- Mentor analysts and conduct technical workshops
- Merge and analyze diverse data streams
- Prepare technical reports and study documents
- Present analysis findings to diverse stakeholders
- Prototype reproducible analytics and algorithms
- Validate and secure access to third party healthcare datasets
Perks/Benefits
- N/A
Skills/Tech-stack
Causal Inference | Claims | Comparative Effectiveness | Comparative Effectiveness Research | Component analysis | Confounding adjustment | Containers | Cox Proportional Hazards | D3 | Data Visualization | Deep learning | Doubly Robust | Doubly-robust estimation | EHR | Electronic Health Records | Ggplot2 | GitHub | Graph Databases | Health Records | IQVIA | Inverse probability weighting | Jupyter Notebooks | Kaplan-Meier | LLM | Machine Learning | MarketScan | NLP | Neural Networks | OMOP-CDM | Optum | Plotly | Power BI | Principal Component Analysis | Propensity score | Python | R | R Shiny | Real-World Data | Reinforcement Learning | Robust Estimation | SQL | STATinMED | Support Vector Machines | Survival analysis | TriNetX | Vector machines
Education
Roles
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