Bioinformatics Fellowship Associate

Program Duration: 6 – 8 Months (Full-Time Fellowship)Role SummaryThe 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 ResponsibilitiesBiological 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.Documentation, Reporting & Scientific Presentation:• Maintain clean research logs, software documentation, and workflow records.• Prepare visualizations, dashboards, and plots to summarize biological findings.• Present project results during reviews and produce detailed scientific reports for publication-style submission.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.• Build a research portfolio including genomic workflows, omics analyses, molecular modeling, and bioinformatics-based case studies.• Improve scientific writing and presentation skills with a focus on biological insight, accuracy, and reproducibility. Qualifications:• Undergraduate or postgraduate degree in Bioinformatics, Biotechnology, Biology, Biochemistry, Genetics, Microbiology, Computational Biology, or related fields.• Understanding of core molecular biology and genetics concepts.• Familiarity with Python/R, database searching, or biological datasets is an advantage.• Strong analytical mindset, curiosity for biological discovery, and willingness to learn new tools. Program Benefits:• Mentorship from computational biology and bioinformatics researchers.• Hands-on experience with real biological and clinical datasets.• Opportunity to present research outcomes to scientific and industry reviewers.• Fellowship certificate and digital badge upon completion.• Career pathway to roles such as Bioinformatics Analyst, Genomics Research Assistant, Computational Biology Associate, Proteomics Analyst, or R&D Data Scientist.

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