Clinical Data Analyst salary in Thailand

Average Yearly Salary of Clinical Data Analyst in Thailand is approximately 401,897 THB (10,015 USD). Data is for 2025 and indicates a pre-tax value. The salary itself depends on multiple factors such as seniority, job performance, certifications, experience or any other bonuses. The value indicated is an average amount based on records we have in database. Real values may vary. The data is for orientational purposes.

What does Clinical Data Analyst do?

A clinical data analyst is responsible for collecting, organizing, and analyzing healthcare data to improve patient care and outcomes. They work closely with healthcare professionals and researchers to identify trends, patterns, and insights from large datasets. Their primary goal is to ensure the accuracy, integrity, and security of clinical data. Clinical data analysts use statistical software and programming languages to clean, validate, and analyze data. They develop and maintain databases, create reports, and generate visualizations to communicate findings effectively. They also collaborate with interdisciplinary teams to develop research protocols and contribute to the design and implementation of clinical studies.

Skills: clinical data analyst, healthcare data analysis, data management, statistical analysis, data visualization, research protocols
Job industry: Healthcare

How much does Clinical Data Analyst make?

Difference in salary year over year or average salary increase is approximately 4 %


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Salary comparison to National average

Is Clinical Data Analyst a well paid job?

Yes, our data shows that Clinical Data Analyst is a well paid job. With years and experience the salary might increase even further, resulting in higher satisfaction.

What is considered a high salary for Clinical Data Analyst?

High salary for Clinical Data Analyst would be somewhere between 442,087 THB and 582,751 THB. However this is an estimation based on Gaussian Distribution.

How much can you save working as Clinical Data Analyst in Thailand?

Living in Thailand the approximate monthly expenses are: 289 USD. This amount covers basic needs such as food, housing, clothing, healthcare and education costs for a single person. No luxury expenses such as traveling, leisure, hobbies are included in the estimation.

Estimated Yearly Salary: 401,897 THB
Estimated Monthly Salary: 33,491 THB
Estimated Weekly Salary: 7,729 THB per week
Estimated Hourly Salary: 193 THB per hour
By working as Clinical Data Analyst a person can save up to 545 USD per month or 6,545 USD yearly. Values are pre-tax.

NOTE: These values are estimates and are averaged for the whole country. Furthermore the value is likely exaggerated as no other expenses are taken into account in the projection. Unessential expenses are very subjective and are difficult to assess. Most likely the previously estimated number is significantly lower for majority of people. Expenses in different cities across the country may vary. Above values accuracy is low and is based on limited set of data obtained.

For more information regarding expenses in Thailand, see costs of living in Thailand.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Myanmar, Laos, Cambodia, Malaysia.
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Clinical Data Analyst

Last revision of data: 2025-01-04

Salary increase per years of experience

Based on data available the salary increase per years of experience is as following

0 years (beginner) equals base salary

1 to 5 years of experience yields +12% salary increase

6 to 10 years of experience yields +25% salary increase

11 to 15 years of experience yields +16% salary increase

16 to 25 years of experience yields +9% salary increase

more than 25 years of experience yields +10% salary increase

NOTE: Details based on limited set of data. Percentages may vary. The salary increase over years of experience can vary widely based on factors such as job industry, job role, location, company size, and individual performance. To gain even larger increase in salary one is advised to switch jobs and / or employer.

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Data as of 2025

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