Intern volunteers (6)

General Summary

Call for applications: Internship for Females at African center of Excellence in Bioinformatics and Data Intensive Sciences


Empowering Uganda’s Women in Health Data Science: Identifying Barriers, Bridging Knowledge and Innovation for Tangible Impact: She Data Science (SHEDS)


Proposed start: June 15th, 2024


The She Data Science (SHEDS) project is pleased to invite suitable applications from females for six internships for the year 2024. 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 the leveraging and enhancement of these data into meaningful and actionable information. However, the highly technical nature of DS as well its powerful potential, simultaneously pause 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: 1) Skilling women in data science / bioinformatics methods and techniques, 2) identify barriers to women in STEM, Data Science and bioinformatics 3) Providing a bridge to help trainees translate their data science skills into biomedical and public health practice.


Benefits of the program

  • Working of projects solving real life problems like Antimicrobial resistance (AMR), Cancer, Genetic diseases
  • World class health data science mentorship from some of the best mentors in the field.


Internship fields

The interns will work on projects that employ data science, mathematical and (or) bioinformatics to 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; and d) Natural Language Processing (NLP) and (or) generative AI solutions for health problems.



Submit the following documents as a single pdf file

  1. Certified copies of relevant academic documents or an official transcript or stamped testimonial if the prospective interns completed required courses but are awaiting graduation.
  2. Two reference letters from academic referees on institution's official letterhead.
  3. Statement of motivation stating clearly and precisely the specific internship for which they are applying, the skills and experience they expect to gain or develop during the period of Internship and the contributions they will make to ACE in line with its mission. (max 1500 words).
  4. Your idea for the research project (single page).
  5. An updated CV (max 4 pages).



  • This is a full-time internship. It is expected that the intending applicant is not involved in any other form of study or employment.
  • Only successful candidates will be notified.
  • Although this opportunity is majorly targeted towards females, exceptionally qualified males are encouraged to apply.

Key Responsibilities

  1. Cleaning and organizing data in preparation for analysis  
  2. Data analysis through performing statistical tests, and generating visualizations to interpret the results.
  3. Developing or implementing algorithms for data analysis, machine learning, or bioinformatics applications.
  4. Conducting literature reviews to support ongoing projects or research initiatives including summarizing relevant research articles
  5. Preparing presentations to communicate findings to your supervisor and team members
  6. Attending internship meetings
  7. Write final internship report.

Person Specification


  1. Female.
  2. Minimum qualifications:  Applicants should have a bachelor’s degree in a quantitative or health related field with at least an upper second class or be enrolled for a master’s degree in a quantitative field such as bioinformatics, data science, computer science, mathematics or a related field from a recognized university.
  3. Demonstrated interest in health data science, mathematical modelling and (or) bioinformatics.

More Details
6 Months
2024-05-09 16:08:19.000

6 Months

2024-05-09 16:08:19.000

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