Bioinformatics Fellowship Program

Role Summary The Bioinformatics Fellowship is a structured, project-based learning program designed to build foundational to advanced skills in computational biology, genomics, and data-driven life sciences research. Fellows work on real-world datasets, receive guidance from experts in biology and data science, and collaborate with interdisciplinary teams to gain practical experience across the bioinformatics workflow — biological data acquisition, sequence analysis, genome annotation, multi-omics integration, molecular modeling, ML-powered prediction, scientific reporting, and reproducible research. Key Responsibilities Biological Data Processing & Analysis • Retrieve and preprocess biological datasets from NCBI, ENA, UniProt, PDB, and other repositories. • Perform sequence alignment, BLAST searches, and phylogenetic analyses. • Conduct genomic and proteomic annotation using established pipelines and tools. Computational Modeling & Algorithms • Run gene expression and differential analysis using RNA-Seq, microarray, or proteomics datasets. • Support structure prediction, molecular docking, or protein modeling depending on project requirements. • Assist in developing or modifying bioinformatics workflows using scripting languages (Python/R). Multi-Omics Integration & Data Interpretation • Analyze genomic, transcriptomic, proteomic, metabolomic, or epigenomic datasets to extract biological insights. • Apply statistical and machine learning approaches in computational biology where applicable. • Interpret analyzed data in the context of biological functions, pathways, diseases, or pharmacology. Learning Outcomes • Develop end-to-end bioinformatics research skills, including dataset retrieval, preprocessing, analysis, interpretation, and reporting. • Gain hands-on experience with bioinformatics tools, databases, and pipelines. • Strengthen computational and biological reasoning for solving real-world biomedical and clinical research problems.