• Lead advanced statistical analysis for HEOR, meta-analysis and indirect treatment comparisons and real-world evidence analyses.
• Design experiments, develop predictive models, and provide actionable insights.
• Ensure data integrity and accuracy through rigorous validation and cleaning processes.
• Prepare detailed protocols, reports, dashboards, and presentations for technical and non-technical audiences.

Requirements

Master's or Ph.D. in Statistics, Mathematics, Data Science, or a related field.
5+ years of experience in statistical analysis and modeling in a business or research setting.
Proven track record of applying advanced statistical methods to real-world problems.
Proficiency in statistical software (e.g., R, SAS, Python) and data visualization tools (e.g., Tableau, Power BI).

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Hard Skills

statistical analysis
meta-analysis
indirect treatment comparisons
real-world evidence analysis
predictive modeling
data validation
data cleaning
advanced statistical methods

Soft Skills

actionable insights
communication

Certifications & Qualifications

Master's in Statistics
Ph.D. in Statistics
Master's in Mathematics
Master's in Data Science

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