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.

Benefits

Flexible paid time off (PTO)
Expansive coverage for health, dental, and vision
Employer contribution to Health Savings Accounts (HSA)
Generous parental leave policy
Full employee coverage for life insurance
Home office stipend
Cell phone/internet reimbursement
Company-paid holidays
401(K) plan

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

causal inferencestatistical methodologiesadvanced statistical analysisresearch designPythonSQLA/B testingquasi-experimentsdata analysisproduct evaluation

Soft Skills

communication skillscross-functional communicationproblem-solvingself-sufficiencyself-startingstakeholder engagementproject managementanalytical thinkingcollaborationadaptability

Certifications

Ph.D.Master’s degreeBachelor’s degree