Infectious Diseases Institute (IDI) jobs

The primary purpose is to learn the codebase, attend design meetings, write basic code, fix bugs, and assist the Software Developer / Software Development Manager in all design-related tasks.

The Radiographer will Perform X-ray procedures for the eligible individuals in targeted communities within the Activity geographical coverage areas and hospitals.

The Medical Officer under the USAID LPHS-TB Activity will ensure delivery of quality TB care and treatment services to clients by providing technical and leadership support to health facility teams.

This role involves providing high-quality counseling, psychosocial support, and community-based services to ensure continuity of care and improved health outcomes for people living with HIV (PLHIV) and TB patients.

The role will involve hands-on support for interns, technical contributions to grant development, active participation in research working groups, and collaboration with the High-Performance Computing (HPC) team to ensure a functional and bioinformatics-ready computing environment.

The Nutritionist will oversee the planning, implementation, and monitoring of the nutrition supplementation activities in line with Ministry of Health guidelines.

The Nutrition Assistants will support the delivery of high-quality, community-based nutrition services to TB-affected households in Abim, Nabilatuk, and Nakapiripirit districts.

The selected volunteers will be involved in practical genomic research, including data cleaning, analysis, visualization, and the use of bioinformatics tools in the study of human genomics.

Support in managing network servers and technology tools, learning from senior administrators.

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

The Facilities assistant will play a key role in tracking and managing inventory of supplies, equipment, and assets.

In the context of growing datasets in health—from genomics to digital health records and environmental data—there is an urgent need to build inclusive capacity in data science, machine learning, and artificial intelligence.