Real-world data (rwd) and real-world evidence (rwe)
Statistical analysis
Statistical programming
Design, plan and lead statistical analyses for Real-World Data (RWD) and Real-World Evidence (RWE) studies, including comparative effectiveness, safety, observational studies, external control arms, and outcomes research
Job Summary
Design, plan and lead statistical analyses for Real-World Data (RWD) and Real-World Evidence (RWE) studies, including comparative effectiveness, safety, observational studies, external control arms, and outcomes research.
Apply AI capabilities to enhance data preparation, code development, analytical efficiency and workflow automation.
The Company has a comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness.
Matching Summary
Design, plan and lead statistical analyses for Real-World Data (RWD) and Real-World Evidence (RWE) studies, including comparative effectiveness, safety, observational studies, external control arms, and outcomes research.
Salary
$155,000.00 - $200,000.00 annually; Bonus/Equity: Annual bonus plan or incentive compensation plan, discretionary equity awards, Employee Stock Purchase Plan; Benefits: Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness
Skills & Requirements
Must-have
Real-World Data (RWD) and Real-World Evidence (RWE)
statistical analysis
statistical programming
big data environment
AI capabilities
Nice-to-have
collaborative
highly motivated
passionate interest in fighting cancer
scientific and business professionals
innovative statistical methods
Key Requirements
PhD or Master's degree
2+ years relevant work experience (PhD)
4+ years relevant work experience (Master's)
Advanced proficiency in R, Python, SAS, or SQL
Advanced knowledge in RWD, HEOR, and Epidemiologic methodology