The African Center of Excellence in Bioinformatics and Data-Intensive Sciences (ACE) Uganda is offering one (1) internship opportunity supported by the SHEDS project in partnership with the Institute for Global Health Sciences (IGHS), University of California San Francisco (UCSF). The intern will participate in real-world, data-driven health research projects while building practical skills.
How to Apply:
Submit a single PDF document including:
Certified academic transcripts or a stamped testimonial if pending graduation.
Copy of UACE results.
Two reference letters on institutional letterhead from academic referees.
Statement of motivation (max 1500 words).
Updated CV (maximum 3 pages).
Note:
Only shortlisted candidates will be contacted.
We will only accept one application per individual.
Application deadline is 26th June 2026
Assist in writing clean, modular, and maintainable code across both the frontend and backend.
Develop new software features for ACE-Uganda platforms.
Build and connect responsive user interfaces with backend API endpoints and data systems to ensure seamless data retrieval, interactive data visualization, and display.
Support backend data workflows, including the loading of new datasets and executing basic database processes to manage public health surveillance data.
Participate in deploying machine learning models into web-based tools and applications for public health researchers.
Carry out usability testing, backend database checks, integration tests, and beta device tests to ensure system data accuracy, platform performance, and cross-platform reliability.
Provide technical assistance and user support for software tools and equipment used within the VR Lab and Tele-Learning Center.
Conduct technical writing to create clear documentation for system architectures, user manuals, and API endpoints.
A recent graduate (within the last year) with a Bachelor's degree in Computer Science, Information Technology, Information Systems, Web Development, or a related computational field from a recognized institution.
Possess strong foundational knowledge in programming languages such as Python, JavaScript, or Java, alongside familiarity with modern web frameworks like Django, React, or Node.js.
Demonstrate an understanding of database management systems using SQL or NoSQL, paired with practical experience using version control tools like GitHub or GitLab.
Possess a strong technical mindset and a passion for translating complex public health data into clean, actionable, and visually clear digital insights.
Demonstrate excellent analytical thinking and problem-solving skills, paired with proactive communication to enable effective teamwork alongside backend engineers, data scientists, and user experience designers.
Exhibit excellent communication skills, a strong desire to learn, and the capability to work effectively within a fast-paced, multidisciplinary environment.
She Data Science (SHEDS): Empowering Uganda’s Women in Health Data Science: Identifying Barriers, Bridging Knowledge and Innovation for Tangible Impact
Call open: 11th June 2026
Number of positions: 2
Application deadline: 1st July 2026
Proposed start date: 1st August 2026
The She Data Science (SHEDS) project is pleased to invite applications from eligible female candidates for MSc Research-year fellowships for the year 2026. SHEDS is a collaborative initiative between the African Center of Excellence in Bioinformatics and Data-Intensive Sciences, Infectious Diseases Institute, Makerere University, Kampala, Uganda, and the Institute of Global Health Sciences (IGHS) at the University of California San Francisco (UCSF), USA.
About the SHEDS program
The increasing adoption of technologies like mobile phones, high-throughput genomic sequencing, IoT, and electronic health records is accelerating the buildup of an avalanche of data: clinical, genomic, epidemiological, climate-related, and social/behavioral data. These growing volumes and complexity of data render the rapidly expanding field of “Big Data” analysis and interpretation essential to improving health and economic outcomes.
Data Science (DS), which encapsulates Machine Learning and Artificial Intelligence (AI), provides a pathway to leveraging and enhancing these data into meaningful and actionable information. However, the highly technical nature of DS, as well as its powerful potential, simultaneously poses the risk of ‘leaving behind’ sections of the population that have already been disadvantaged. In Uganda in particular, the high gender disparity within STEM fields means that women are more likely to be left behind, resulting in the unintended consequence of DS further widening the gender gap in STEM.
This program is thus going to target the training and advancement of Ugandan women in data science and/or bioinformatics. It achieves this goal through three critical areas:
Skilling women in data science / bioinformatics methods and techniques.
Identifying barriers to women in STEM, Data Science, and bioinformatics.
Providing a bridge to help trainees translate their data science skills into biomedical and public health practice.
Benefits of the SHEDS program
Research Concept
The research concept should be one that employs data science, mathematical modelling, and/or bioinformatics in any of the following areas:
a) Antimicrobial Resistance (AMR) including the design of antimicrobial drug combination therapies, identifying One Health AMR transmission pathways, and utilizing data science methodologies to guide antimicrobial stewardship initiatives.
b) Human Genomics including the role of repeats in the human genome.
c) Cancer including cancer genomics and genomics data science.
d) Natural Language Processing (NLP) and/or Generative AI Solutions for public health problems.
How to Apply:
Submit a single PDF document including:
CLEAR copies of certified relevant academic documents.
A one-page concept note of your proposed research.
Two reference letters from academic referees.
A statement of motivation (max 1,000 words).
Note:
This is a full-time MSc scholarship. It is expected that the intending applicant is not involved in any other form of study or employment.
Only successful candidates will be contacted.
Proof of payment for MSc first year tuition is required
The African Center of Excellence in Bioinformatics and Data-Intensive Sciences (ACE) Uganda is offering one (1) internship opportunity supported by the SHEDS project in partnership with the Institute for Global Health Sciences (IGHS), University of California San Francisco (UCSF). The intern will participate in real-world, data-driven health research projects while building practical skills.
How to Apply:
Submit a single PDF document including:
Certified academic transcripts or a stamped testimonial if pending graduation.
Copy of UACE results.
Two reference letters on institutional letterhead from academic referees.
Statement of motivation (max 1500 words).
Updated CV (maximum 3 pages).
Note:
Only shortlisted candidates will be contacted.
We will only accept one application per individual.
Application deadline is 26th June 2026
The African Center of Excellence in Bioinformatics and Data-Intensive Sciences (ACE) Uganda is offering one (1) internship opportunity supported by the SHEDS project in partnership with the Institute for Global Health Sciences (IGHS), University of California San Francisco (UCSF). The intern will participate in real-world, data-driven health research projects while building practical skills.
How to Apply:
Submit a single PDF document including:
Certified academic transcripts or a stamped testimonial if pending graduation.
Copy of UACE results.
Two reference letters on institutional letterhead from academic referees.
Statement of motivation (max 1500 words).
Updated CV (maximum 3 pages).
Note:
Only shortlisted candidates will be contacted.
We will only accept one application per individual.
Application deadline is 26th June 2026