Life Sciences & Bioinformatics
Analyse genomic data, model biological systems, and apply computational methods to understand life at the molecular level.
Life Sciences and Bioinformatics combines molecular biology with computational analysis to understand organisms at the genetic and molecular level. Modern bioinformaticians use Python, R, and specialised bioinformatics tools to analyse DNA sequences, model protein structures, and interpret large genomic datasets.
Computational skills
Career paths
Bioinformatics Analyst
Analyses genomic and biological data to support research in genetics, medicine, and biotechnology.
Computational Biologist
Builds computational models of biological systems to understand mechanisms and predict behaviour.
Biostatistics Analyst
Applies statistical methods to biological and medical research — clinical trials, epidemiology, and public health studies.
Research labs
Labs for this domain are coming soon. Environmental Science has the first live labs.