Causal Inference Researcher Salary.
Across 30 U.S. cities.
$185,000
national median salary
$138,000 to $245,000. Last updated April 2026.
Highest Paying
$252,000
San Francisco, CA
Best Purchasing Power
$193,000
Charlotte, NC
Lowest Paying
$143,000
Jackson, MS
Salary data sourced from SEC filings, H-1B Labor Condition Applications (DOL), Bureau of Labor Statistics Occupational Employment and Wage Statistics, and aggregated job postings across 50+ platforms. Ranges reflect 25th to 75th percentile for full-time positions. Cost-of-living adjustments use Bureau of Economic Analysis Regional Price Parities (2025 index). Last updated April 2026.
The average Causal Inference Researcher salary in the United States is $185,000 in 2026, with the full range spanning $138,000 at the 25th percentile to $245,000 at the 75th. San Francisco pays the most at $252,000, while Charlotte offers the best purchasing power after cost-of-living adjustments. Causal inference researchers bridge statistics and machine learning, with salary driven by industry application.
Causal Inference Researcher salary by city
What you should know
Causal inference researchers bridge statistics and machine learning, with salary driven by industry application. Healthcare and pharmaceutical companies pay premiums of 10 to 20% for researchers who can design and analyze clinical trials. Tech companies value causal methods for A/B testing and policy evaluation, paying competitively with general ML researcher roles.
Entry-level causal inference researchers earn $138,000 to $165,000 with a PhD in statistics or economics. Mid-career researchers reach $185,000 to $245,000. Senior scientists and methodology leads earn $250,000 to $330,000, while directors of causal AI at large firms can reach $380,000 to $450,000.
Tech industry roles include equity worth 20 to 40% of base salary, while pharmaceutical companies offer annual bonuses of 15 to 25% plus profit-sharing. Some healthcare firms provide tuition reimbursement and publication support as additional benefits.