Use tools from computer science, data science, mathematics and statistics to tap into the complex datasets in the life sciences. Use artificial intelligence to pose and probe biological questions that are too complex for the human mind to untangle without computer assistance. Some examples include high-throughput analysis of the genome, transcriptome, protein structure and function, drug interactions, epidemiology and evolution. Your career: big data analytics in the medical, environmental and agricultural sectors; biodiversity monitoring; biostatistics; database design; disease diagnostics; drug discovery