Description:
The Africa Health Research Institute (AHRI) is seeking a Bioinformatics Research Intern to join the Basic & Translational Science Department. This internship offers hands-on experience in supporting bioinformatics analyses, workflow development, and data management across multi-omics research projects.
The successful candidate will gain practical skills in processing, curating, and analyzing complex biological datasets—including sequencing, proteomics, and clinical data—while learning principles of reproducible research. The intern will collaborate closely with experienced researchers and bioinformaticians, contributing to impactful studies in infectious diseases and immunology within a supportive learning environment.
Overview of Duties:
Overview of Duties
Data Preparation and Organization
- Assist with organizing, cleaning, and preparing biological datasets (e.g., genomics, transcriptomics, or proteomics data).
Bioinformatics Support
- Assist with running and monitoring bioinformatics pipelines under supervision.
- Help with basic data analysis using tools such as R, Python, and Linux command line.
Basic Data Analysis
- Support routine analyses such as differential expression or abundance analysis.
- Assist with pathway analysis and interpretation of results alongside senior researchers.
Data Visualization
- Help generate figures and visual summaries of results (e.g., heatmaps, PCA plots, volcano plots).
Team and Research Support
- Work collaboratively with bioinformaticians and researchers on ongoing projects.
- Assist with preparing presentation materials, reports, and documentation.
Minimum Qualifications
- Bachelor of Science in Bioinformatics, Microbiology, Computer Science or related fields.
Required Skills
- Basic knowledge of transcriptomics, proteomics, or metabolomics data analysis.
- Skilled with programming languages (e.g., R, Python), Linux command lines and bioinformatics tools.
- Familiarity with data formats (e.g., FASTQ, GTF and CSV) and bioinformatics databases (NCBI, UniProt, KEGG)
- Foundational understanding of genomics, transcriptomics, or proteomics data analysis
- Knowledge of basic statistical concepts (e.g., p-values, FDR, clustering, PCA)
Worker Type:
Employee
The application closing date:
26 Mar 2026
Please note that only shortlisted candidates will be contacted, kindly consider your application as unsuccessful if you do not hear from us within 14 days of the application closing date.
