computational biologist.

models, and statistical methods to interpret biological data, simulate biological processes,
and solve specific research questions.
• Bioinformatics Tools: Utilizing a range of bioinformatics tools and software to process,
analyse, visualize, and interpret biological data. This includes using programming languages
such as Python, R, and specialized tools for sequence analysis, structural biology, and
pathway analysis.
• Database Management: Managing and curating biological databases, ensuring data accuracy,
consistency, and accessibility. Developing and maintaining databases for efficient storage and
retrieval of biological information.
• Molecular Dynamics: Perform molecular dynamics simulations to investigate the dynamic
behaviour of biological molecules, including proteins, nucleic acids, and lipid membranes.
Analyse simulation trajectories to extract insights into the conformational changes, energy
landscapes, and intermolecular interactions within the simulated systems.
• Genomic Analysis: Conducting genome-wide association studies (GWAS), variant analysis,
and functional annotation to identify genetic factors associated with diseases and traits.
• Protein Structure Prediction: Using computational methods to predict and model protein
structures, interactions, and functions, aiding drug discovery and protein engineering efforts.
• Network Analysis: Constructing and analysing biological networks, including gene regulatory
networks, protein-protein interaction networks, and metabolic pathways, to understand
complex biological systems.
• Collaboration: Collaborating with experimental biologists, geneticists, clinicians, and other
researchers to design experiments, interpret results, and provide insights that bridge
computational and experimental approaches.