Clinical Data Operator

1 549 986 ₽ (RUB)/yr

745,19 ₽ (RUB)/hr

44 175 ₽ (RUB)/yr

The average clinical data operator gross salary in Russian Federation is 1 549 986 ₽ or an equivalent hourly rate of 745 ₽. In addition, they earn an average bonus of 44 175 ₽. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Russian Federation. An entry level clinical data operator (1-3 years of experience) earns an average salary of 1 102 928 ₽. On the other end, a senior level clinical data operator (8+ years of experience) earns an average salary of 1 942 874 ₽.

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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.

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1 845 526 ₽ (RUB)

19 %

Based on our compensation data, the estimated salary potential for Clinical Data Operator will increase 19 % over 5 years.

Education data not available for this job

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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Russia, or the Russian Federation, is a country spanning Eastern Europe and North Asia. It is the largest country in the world by area, extending across eleven time zones and sharing land borders with fourteen countries. It is the world's ninth-most populous country and Europe's most populous country. Russia is a highly urbanized country consisting of 16 population centers with over million inhabitants. Its capital as well as its largest city is Moscow. Saint Petersburg is Russia's second-largest...

Sourced from Wikipedia
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports. Excludes “Statisticians” (15-2041),... “Cartographers and Photogrammetrists” (17-1021), and “Health Information Technologists and Medical Registrars” (29-9021). Read More

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Disclaimer

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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.

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