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Job Summary

Job Title:
Intern Volunteer
Employer:
Infectious Diseases Institute (IDI)
Location:
Kampala, Uganda
Country:
Uganda
Contract Type:
Full Time
Job Category:
Intern / Graduate Trainee
Number of Positions:
6
Deadline:
Wednesday, 7 May 2025

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6 Intern Volunteer jobs at Infectious Diseases Institute (IDI) | Apply Now

Kampala, Uganda

Full Time

Are you looking for Volunteer jobs in Uganda 2025 today? then you might be interested in Intern Volunteer jobs at Infectious Diseases Institute (IDI)

Deadline: 

7 May 2025

About the Organisation

The Infectious Diseases Institute (IDI) is a leading center of excellence in infectious disease research, prevention, and treatment, dedicated to strengthening healthcare systems and improving lives in Uganda and beyond. Renowned for its impactful work in HIV/AIDS, tuberculosis, malaria, and emerging infections, IDI has earned global recognition for its cutting-edge research, clinical care, and capacity-building initiatives.

The institute fosters a collaborative and inclusive work culture, attracting top talent in healthcare, research, and administration while offering professional development opportunities, competitive benefits, and flexible work arrangements. Established in 2002 as part of Makerere University, IDI has evolved into an independent organization at the forefront of medical innovation, leveraging technology and data-driven solutions to enhance disease surveillance and response.

With operations spanning Uganda and regional collaborations across Africa, IDI serves millions through its extensive network of clinics, training programs, and public health interventions. Guided by values of integrity, excellence, innovation, and service, the institute remains committed to addressing pressing health challenges while driving sustainable community impact.

Its Corporate Social Responsibility (CSR) efforts focus on strengthening local healthcare infrastructure, promoting public health education, and supporting vulnerable populations. For more information, visit www.idi-makerere.com.

Job Title

6 Intern Volunteer jobs at Infectious Diseases Institute (IDI)

Infectious Diseases Institute (IDI)

Job Description

Job Title: Intern Volunteer

Job Code: INV006
No of Position: 6
Station: Kampala
Classification: Volunteer
Duration:
6 Months
Reports to: ADMINISTRATIVE OFFICER


The African Center of Excellence in Bioinformatics and Data-Intensive Sciences (ACE) Uganda is offering six internship opportunities supported by the SHEDS project in partnership with the Institute for Global Health Sciences (IGHS), University of California San Francisco (UCSF). Interns will participate in real-world, data-driven health research projects while building practical skills.

Prospective interns should apply to be trained in one of the following areas;

  • High Performance Computing (HPC) and Software development

  • Mathematical modelling

  • Human Genomics

  • Natural Language Processing and Generative AI

Duties, Roles and Responsibilities

  • Cleaning, organizing, and preparing health data for analysis.

  • Conducting statistical analyses and generating visualizations to support ongoing research.

  • Developing and deploying algorithms for generative AI and machine learning.

  • Developing pipelines for bioinformatics analysis.

  • Designing and implementing mathematical models for real-time disease surveillance and epidemiological forecasting.

  • Reviewing and summarizing relevant literature to inform project activities.

  • Supporting the High performance computing helpdesk.

  • Participating in team meetings and delivering presentations on progress.

  • Submitting monthly progress reports and a final internship report.

  • Contributing to research outputs aligned with ACE’s mission.

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Qualifications, Education and Competencies

  • Bachelor’s degree or be enrolled in a master’s program in a quantitative or health-related field.

  • Applicants for mathematical modelling must have completed a bachelor's degree in mathematics, statistics or a related field.

  • Applicants for NLP and generative AI must have completed a bachelors degree in computer science, statistics or a related field.

  • Applicants for HPC or software development must have completed a bachelor's degree in computer science or a related field.

  • Applicants for human genomics must have completed a bachelor's degree in biochemistry or a related field.


Person Specification

Education:

Bachelor’s degree or be enrolled in a master’s program in a quantitative or health-related field.


Desirable Skills and Attributes:

  • Demonstrated interest in health data science, bioinformatics, or mathematical modeling.

  • Willingness to learn and contribute in a multidisciplinary environment.

  • Plans to pursue a career in health data science or a related field.

  • Strong written and verbal communication skills.


Eligibility:

  • Recent graduates or final year students with a Bachelor’s degree in a quantitative or health-related field.

How to Apply

Submit a single PDF document including:

  1. Certified academic transcripts or a stamped testimonial if pending graduation.

  2. Copy of UACE results.

  3. Two reference letters on institutional letterhead from academic referees.

  4. Statement of motivation (max 1500 words) outlining:A general introduction about your self e.g student, recent graduate and field of study.
    The area you are applying for such as software development, mathematical modelling, human genomics, generative AI, natural language processing or high-performance computing.
    Demonstrated interest in one of the areas mentioned above.

  5. A one-page research idea aligned with the desired area of application that is; software development, mathematical modelling, human genomics, generative AI, natural language processing or high-performance computing.

  6. Updated CV (maximum 3 pages)

Note:

  • Confirmation of employemnet is contingent upon the presentation of a valid Certificate of Good Conduct from Interpol.

  • Only shortlisted candidates will be contacted.

  • We will only accept one application per individual.



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