IT Bioinformatics Programmer Analyst
₱946,096 (PHP)/yr
₱454.85 (PHP)/hr
₱40,209 (PHP)/yr
The average it bioinformatics programmer analyst gross salary in Bacolod, Philippines is ₱946,096 or an equivalent hourly rate of ₱455. This is 1% higher (+₱13,978) than the average it bioinformatics programmer analyst salary in Philippines. In addition, they earn an average bonus of ₱40,209. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Bacolod, Philippines. An entry level it bioinformatics programmer analyst (1-3 years of experience) earns an average salary of ₱670,800. On the other end, a senior level it bioinformatics programmer analyst (8+ years of experience) earns an average salary of ₱1,088,837.
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₱1,067,029 (PHP)
13 %
Based on our compensation data, the estimated salary potential for IT Bioinformatics Programmer Analyst will increase 13 % over 5 years.
This chart displays the highest level of education for:
IT Bioinformatics Programmer Analyst, the majority at 100% with bachelors.
Typical Field of Study: Computer Programming, Specific Applications
See how education can impact your salaryThe cost of living in Bacolod, Philippines is 5% less than the average cost of living in Philippines. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageBacolod, officially the City of Bacolod (; Tagalog: [bɐˈkɔlɔd]; Hiligaynon: Dakbanwa sang Bacolod; Filipino: Lungsod ng Bacolod), is a highly urbanized city in the Negros Island Region in the Philippines. According to the 2024 census, it has a population of 624,787 people, making it the most populous city in the Negros Island Region and the second most populous city in the entire Visayas after Cebu City. It is the largest city and capital of the province of Negros Occidental where it is geograp
Sourced from WikipediaERI'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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