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  • Posted: Apr 16, 2025
    Deadline: Apr 21, 2025
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  • The Center for Epidemiological Modelling and Analysis (CEMA) at the University of Nairobi brings together a multidisciplinary consortium of epidemiologists, infectious disease specialists, clinicians, mathematicians, statisticians, computer scientists, and data scientists using data-driven approaches to control infectious diseases and improve health in Kenya...
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    Software Engineering Track Intern

    As an intern at CEMA, you will play a pivotal role in supporting our ongoing research and data-driven initiatives. You will work closely with our team of researchers in generating data, analysing data and utilising data insights to better understand disease dynamics, and identify and evaluate intervention strategies. 

    Responsibilities of Software Engineering Intern:

    • Develop web applications to support dashboards, data visualization, and analytics tools for health data projects.
    • Maintain and update CEMA’s website, ensuring it remains secure, functional, and user-friendly.
    • Assist in the setup, configuration, and maintenance of CEMA’s internal server infrastructure.
    • Support the migration of CEMA’s online content to the in-house server, ensuring minimal downtime and data integrity. 
    • Help develop, test, and implement security protocols, backup solutions, and disaster recovery plans to safeguard CEMA’s digital content.
    • Contribute to optimizing data processing algorithms to enhance system performance and reduce processing times.
    • Assist in coding, modifying, testing, and maintaining software applications and systems according to project needs.
    • Provide technical support for troubleshooting, updating, and maintaining existing applications and systems.
    • Document technical procedures, workflows, and solutions for future reference and team knowledge sharing.
    • Take on other tasks as assigned.

    Requirements:

    • Bachelor's degree in Statistics, Biostatistics, Epidemiology, Mathematics, Data Science, Actuarial Science, Population Health, Computer Science, Information Technology, Economics, Geographic Information System, Veterinary medicine, Medicine, Pharmacy, Nursing, Public Health, Health System Management or other relevant disciplines (acquired after 2021) 
    • Demonstrated knowledge of data analytics using a programming language
    • Evidence of motivation for the field of data science, epidemiology, health technology assessments and/or public health 

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