Technician Certified Medication
833 801 ₽ (RUB)/yr
400,87 ₽ (RUB)/hr
8 338 ₽ (RUB)/yr
The average technician certified medication gross salary in Nizhny Novgorod, Russian Federation is 833 801 ₽ or an equivalent hourly rate of 401 ₽. This is 2% higher (+20 190 ₽) than the average technician certified medication salary in Russian Federation. In addition, they earn an average bonus of 8 338 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Nizhny Novgorod, Russian Federation. An entry level technician certified medication (1-3 years of experience) earns an average salary of 632 750 ₽. On the other end, a senior level technician certified medication (8+ years of experience) earns an average salary of 1 016 858 ₽.
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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.
992 784 ₽ (RUB)
19 %
Based on our compensation data, the estimated salary potential for Technician Certified Medication will increase 19 % over 5 years.
This chart displays the highest level of education for:
Technician Certified Medication, the majority at 76% with high schools.
Typical Field of Study: Pharmacy Technician/Assistant Training
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.