Causal Inference Researcher.
San Francisco.
$252,000
median salary, 36% above the national average
$188,000 to $334,000. Last updated April 2026.
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Data points to own the conversation.
If you are evaluating a Causal Inference Researcher offer in San Francisco, CA, here is the reality: $188,000 to $334,000, with $252,000 as the midpoint. 36% above the national average. Causal inference researchers bridge statistics and machine learning, with salary driven by industry application. Do not accept the first number.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $227,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$164,000
to $202,000
Mid (3-5 yrs)
$214,000
to $265,000
Senior (6-9 yrs)
$277,000
to $328,000
Lead (10+ yrs)
$315,000
to $391,000
Salary trend
+4% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $63,000 to the total package.
Base
$252,000
Equity
$35,000
Bonus
$23,000
Signing
$5,000
Estimated total: $315,000
How San Francisco compares
San Francisco, CA
$252,000
Cost of living: 35% above average
National Average
$185,000
San Francisco is $67,000 above
Causal Inference Researcher salary by city
Salary by role in San Francisco
What you should know
The Causal Inference Researcher landscape in San Francisco is not what most salary sites will tell you. San Francisco is the epicenter of venture capital and startup innovation, consistently producing the highest tech salaries in the nation. The city's concentration of AI labs, SaaS companies, and fintech firms creates intense competition for talent. Despite remote work trends, SF still commands the steepest salary premiums for engineering and product roles. 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. In San Francisco, those numbers run higher. The cost of living here is 35% above average, and employers adjust to compete.
Base salary is not the full picture. 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. And on the tax side: california's top marginal state income tax rate is 13.3%, the highest in the U.S. San Francisco has no additional city income tax, but overall tax burden remains steep. When someone quotes you $252,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Leverage competing offers aggressively. SF employers expect candidates to shop around, and matching or beating a rival offer is standard practice here. The range for Causal Inference Researchers in San Francisco runs from $188,000 to $334,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology
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Common questions.
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