Director, Statistics
Tasks
- Apply Bayesian methods for data efficiency and evidence generation
- Design and execute statistical analysis plans for clinical trials and real world studies
- Develop and implement HTA statistical methodologies
- Develop evidence for HTA submissions and pricing and reimbursement
- Develop synthetic control arms using Bayesian AI generative models
- Ensure integrity and robustness of statistical analyses
- Lead adoption of machine learning for population enrichment
- Lead statistical contributions for health technology assessments and market access submissions
- Maintain departmental SOPs for statistical methodologies
- Mentor statisticians and provide training on statistical methods
- Oversee vendor selection and management for statistical deliverables
- Produce MAIC NMA and health economic model input
- Provide statistical leadership for late phase clinical trials and real world evidence studies
- Use external control and covariate adjustment for comparative analyses
Perks/Benefits
- 401k match
- Comprehensive medical, dental, vision
- Flexible time off
- Paid Holidays
- Paid leave programs
- Student loan assistance
- Tuition reimbursement
Skills/Tech-stack
Bayesian Methods | Bayesian network meta-analysis | Biostatistics | Covariate Adjustment | External Control | HTA methodology | Health Economics | Health technology | Health technology assessment | Indirect Comparison | Indirect treatment comparison | Integrated Evidence Plan | Machine Learning | Matching-adjusted indirect comparison | Meta-Analysis | Network meta-analysis | Population Enrichment | Predictive Modeling | Pricing and reimbursement | R | Real-World Data | Real-World Evidence | Regulatory statistics | SAS | Statistical Analysis | Statistical Analysis Plan | Statistics | Synthetic control | Technology assessment
Education
Roles
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