Causal Inference Researcher.
Richmond.
$187,000
median salary, 1% above the national average
$139,000 to $247,000. Last updated April 2026.
Get the job.
Data points to own the conversation.
If you are evaluating a Causal Inference Researcher offer in Richmond, VA, here is the reality: $139,000 to $247,000, with $187,000 as the midpoint. 1% 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 $168,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$122,000
to $150,000
Mid (3-5 yrs)
$159,000
to $196,000
Senior (6-9 yrs)
$206,000
to $243,000
Lead (10+ yrs)
$234,000
to $290,000
Salary trend
+4% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $47,000 to the total package.
Base
$187,000
Equity
$26,000
Bonus
$17,000
Signing
$4,000
Estimated total: $234,000
How Richmond compares
Richmond, VA
$187,000
Cost of living: 1% above average
National Average
$185,000
Richmond is $2,000 above
Causal Inference Researcher salary by city
Salary by role in Richmond
What you should know
Here is what the Causal Inference Researcher market actually looks like in Richmond. Richmond combines a strong government and defense sector with growing technology and financial services industries. Capital One's headquarters drives significant fintech employment. The city's proximity to Washington DC creates spillover demand for federal contractors and tech workers seeking lower living costs. 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 Richmond, cost of living sits near the national average, so the numbers you see are roughly what you keep.
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: virginia's top income tax rate is 5.75%. Richmond has no city income tax. The moderate rate and reasonable cost of living create solid net compensation. When someone quotes you $187,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Leverage DC corridor salary benchmarks. Richmond employers compete with Northern Virginia and DC for talent, especially in fintech and government contracting. The range for Causal Inference Researchers in Richmond runs from $139,000 to $247,000. 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
Considering a related role?
- A AI Infrastructure Engineer in Richmond earns $188,000 (1% more)
- The highest-paying role in Richmond is Chief AI Officer at $316,000
Common questions.
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