Preventive Medicine Specialist
4 418 220 ₽ (RUB)/yr
2 124,14 ₽ (RUB)/hr
183 798 ₽ (RUB)/yr
The average preventive medicine specialist gross salary in Nizhny Novgorod, Russian Federation is 4 418 220 ₽ or an equivalent hourly rate of 2 124 ₽. This is 6% higher (+233 432 ₽) than the average preventive medicine specialist salary in Russian Federation. In addition, they earn an average bonus of 183 798 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level preventive medicine specialist (1-3 years of experience) earns an average salary of 3 012 132 ₽. On the other end, a senior level preventive medicine specialist (8+ years of experience) earns an average salary of 5 792 562 ₽.
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ERI’s compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
4 824 743 ₽ (RUB)
9 %
Based on our compensation data, the estimated salary potential for Preventive Medicine Specialist will increase 9 % over 5 years.
This chart displays the highest level of education for:
Preventive Medicine Specialist, the majority at 100% with doctorates.
Typical Field of Study: Medical Residency Programs
See how education can impact your salaryThe cost of living in Nizhny Novgorod, Russian Federation is 7% less than the average cost of living in Russian Federation. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
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This page is a promotion for SalaryExpert’s Assessor Platform and is not intended for professional use.
Professionals should subscribe to SalaryExpert’s Assessor Platform.
ERI’s compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.