Software Engineering Internship

Center for Epidemiological Modelling and Analysis

Overview

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Vacancy Description
  • Internship
  • Nairobi
  • 50,000 KES / Month
  • April 21, 2025

Duration: 6 months (non-renewable)

Reporting To: CEMA Research Fellows

Expected Start Date: June 3, 2025

Duty Station: Center for Epidemiological Modelling and Analysis, University of Nairobi

Are you passionate about making a positive impact on Health? Look no further! The Center for Epidemiological Modelling and Analysis (CEMA) at the University of Nairobi is offering an exceptional opportunity to join our team as an intern in one of four tracks.

About CEMA

CEMA is a multidisciplinary Center of Excellence that uses data-driven approaches to guide the control of diseases and improve public health in Kenya and the African continent. Established in 2020, CEMA boasts a collaborative and intellectually stimulating environment, attracting experts from various fields of study. Through insights from applied epidemiological modelling and analytics, CEMA has played a critical role including in guiding responses to COVID-19 in Kenya and the continent; catalyzing the control and elimination of neglected tropical diseases, and guiding the delivery and maintenance of essential health services during health emergencies. CEMA provides training in quantitative skills required to manage and analyze health data to address priority public health questions in the region.

The Position Description 

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

Terms of Appointment: 

This is a position whose tenure is a six (6) months contract, non-renewable. The interns will be offered a stipend of KES 50,000 per month. Interested candidates who meet the above criteria are encouraged to fill out the application form on this link. Only online applications will be accepted.


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Application Guidelines

Application Deadline:

April 21, 2025 (Candidates will be selected through a two-stage process which involves assessment of competency to meet the responsibilities of their role)

IMPORTANT NOTICE: Due to the high volume of applications we receive, only a few candidates will be selected for the position. Successful applicants will undergo a two-stage process to assess their competency in meeting the responsibilities of the role. Only those who pass the first stage will move on to the next step in the recruitment process.

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