Director, Real World Data & Epidemiology (RWD & EPI) Analytics
Princeton, New Jersey, United States of America
USD 231K-346K Executive-level Full Time
Tasks
- Conduct feasibility assessments
- Conduct quality control
- Contribute to department strategy
- Define evidence needs
- Define study governance and processes
- Design observational studies
- Develop analysis plans
- Develop data and analytics infrastructure
- Ensure data security and compliance
- Evaluate real world data sources
- Execute observational studies
- Implement statistical methods
- Integrate new data modalities
- Lead AI pilots
- Manage analytic data files
- Mentor RWD and epidemiology scientists and programmers
- Perform survival analysis and economic modeling
- Present study designs and results
- Report observational study results
- Scale AI applications
- Set study timelines
Perks/Benefits
- Commuter benefits
- Dental insurance
- Flexible work schedule
- Health benefits
- Health savings account
- Paid Holidays
- Paid parental leave
- Paid sick leave
- Paid vacation
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
AI analytics | Biostatistics | Causal Inference | Data Governance | Data Security | Data integration | Epidemiology | IPTW | MAIC | Machine Learning | Observational Study | Observational Study Design | Python | R | Real-World Data | Real-World Evidence | Regression Analysis | Regulatory Compliance | SAS | Statistical programming | Study design | Survival analysis
Regions
Countries
States
Cities
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