Clinical Data Scientist salary in Kenya

Average Yearly Salary of Clinical Data Scientist in Kenya is approximately 1,905,106 KES (12,095 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 Scientist do?

A clinical data scientist is a professional who combines expertise in data analysis and healthcare to improve patient care and outcomes. They work with large sets of clinical data, such as electronic health records, medical imaging, and genomic data, to extract meaningful insights and develop innovative solutions. Their responsibilities include designing and implementing data collection methods, cleaning and organizing datasets, applying statistical techniques and machine learning algorithms to identify patterns and trends, and creating predictive models for disease diagnosis, treatment response, and patient risk stratification. Clinical data scientists collaborate with healthcare professionals, researchers, and IT teams to ensure data accuracy, privacy, and security.

Skills: clinical data analysis, healthcare analytics, data-driven healthcare, predictive modeling, machine learning, healthcare informatics
Job industry: Healthcare

How much does Clinical Data Scientist 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 Scientist a well paid job?

Yes, our data show that Clinical Data Scientist is a very 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 Scientist?

High salary for Clinical Data Scientist would be somewhere between 2,095,617 KES and 2,762,404 KES. However this is an estimation based on Gaussian Distribution.

How much can you save working as Clinical Data Scientist 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: 1,905,106 KES
Estimated Monthly Salary: 158,759 KES
Estimated Weekly Salary: 36,637 KES per week
Estimated Hourly Salary: 916 KES per hour
By working as Clinical Data Scientist a person can save up to 768 USD per month or 9,215 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 Clinical Data Scientist

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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