Senior Clinical Data Associate salary in Kenya

Average Yearly Salary of Senior Clinical Data Associate in Kenya is approximately 1,727,247 KES (10,859 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 Senior Clinical Data Associate do?

A Senior Clinical Data Associate is responsible for managing and organizing clinical trial data to ensure accuracy, completeness, and integrity. They work closely with cross-functional teams including clinical operations, biostatistics, and data management to collect, review, and validate data from multiple sources. Their key responsibilities include developing data collection tools, performing data cleaning and quality control checks, resolving data discrepancies, and generating reports for analysis. They also contribute to the development and implementation of data management plans and SOPs to ensure adherence to regulatory guidelines and industry standards.

Skills: Senior Clinical Data Associate, Clinical Trials, Data Management, Data Validation, Data Cleaning, Quality Control
Job industry: Pharmaceutical

How much does Senior Clinical Data Associate make?

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


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Salary comparison to National average

Is Senior Clinical Data Associate a well paid job?

Yes, our data shows that Senior Clinical Data Associate 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 Senior Clinical Data Associate?

High salary for Senior Clinical Data Associate would be somewhere between 1,899,972 KES and 2,504,508 KES. However this is an estimation based on Gaussian Distribution.

How much can you save working as Senior Clinical Data Associate in Kenya?

Living in Kenya the approximate monthly expenses are: 240 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: 1,727,247 KES
Estimated Monthly Salary: 143,937 KES
Estimated Weekly Salary: 33,216 KES per week
Estimated Hourly Salary: 830 KES per hour
By working as Senior Clinical Data Associate a person can save up to 665 USD per month or 7,979 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 Kenya, see costs of living in Kenya.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Ethiopia, Somalia, South Sudan, Tanzania, Uganda..
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Senior Clinical Data Associate

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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