Leverage causal inference and other statistical methodologies to assess the value and impact of our products on key outcomes for health systems and providers using complex financial and healthcare data sources.
Clearly communicate insights highlighting the impact of our products to a wide variety of stakeholders across the organization.
Design and analyze product experiments (A/B tests and quasi-experiments) to evaluate product improvements and new features.
Requirements
Ph.D. and 3+ years of experience or Master’s and 5-7 years of experience or Bachelor’s and 8+ years of experience in Data Science, Statistics, Economics, Public Health, Computer Science, or a related field
Proficiency in advanced statistical analysis and research design
Proficiency in Python
Proficiency in SQL
Excellent communication skills, with the ability to communicate cross-functionally with a variety of stakeholders
Highly self-sufficient and self-starting in solving complex problems and conducting projects end-to-end
A passion and excitement about healthcare’s unique challenges and opportunities.
Tech Stack
Python
SQL
Benefits
Flexible paid time off (PTO)
Expansive coverage for health, dental, and vision
Employer contribution to Health Savings Accounts (HSA)