Clinical Research Associate salary in Brooklyn, NY

Average salary
$57,000/yr
Based on 12 income tax records
$51,000
$68,500
Age:
Average salary by age
18-25
26-35
36-45
46-55
56+
$51,000
$68,500
How much do Clinical Research Associates make?
The average total salary for a Clinical Research Associate is $57,000 per year. This is based on data from 12 TurboTax users who reported their occupation as Clinical Research Associate and includes taxable wages, tips, bonuses, and more. Clinical Research Associate salary can vary between $51,000 to $68,500 depending on factors including education, skills, experience, employer & location. Read more
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DATA PROVIDED BY turbotax icon

Based on income reported to the IRS in box 1 of W-2.

From consenting TurboTax customers

Clinical Research Associate salary by company

Employer
Average salary per year*
Salary range**

Clinical Research Associate demographics in Brooklyn, NY

single icon
100% are single
married icon
0% are married
have kids icon
25% have kids
own a home icon
0% own a home

Effective Tax Rates for Clinical Research Associates in Brooklyn, NY

12 full-time salaries from 2019
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FAQS
The average salary for a clinical research associate in Brooklyn, NY is $57,000 per year. Clinical research associate salaries in Brooklyn, NY can vary between $51,000 to $68,500 and depend on various factors, including skills, experience, employer, bonuses, tips, and more.

This data is exclusive to Mint Salary and is based on 12 tax returns from TurboTax customers who reported their occupation as clinical research associate.

The following cities offer the highest salaries for clinical research associates near Brooklyn, NY: New York, NY ($57,500 a year), Brooklyn, NY ($57,000 a year), and Philadelphia, PA ($54,000 a year).
*
Total salary amounts here include total taxable wages, tips, prizes and other compensation. Salaries here are not representative of the total population and may reflect different levels of experience or education. Learn more
**
Total salary ranges shown here exclude outliers.