This chapter provides a comprehensive overview of the role of genomics in accelerating the drug development process. It highlights the significant advancements in large-scale population collections and whole genome sequencing approaches, which have significantly influenced multiple stages across the lifespan of a drug discovery program. The chapter emphasizes the increasing importance of genomic data in target identification, target prioritization, and tractability, as well as predicting outcomes from pharmacological perturbations. It also discusses integrating genomic technologies with other omics approaches, such as proteomics and metabolomics, to understand disease mechanisms better and identify potential therapeutic targets. The integration of bioinformatics is pivotal in harnessing the power of genomic data for drug discovery endeavors. This chapter delves into the computational approaches and analytical frameworks that enable extracting meaningful insights from vast genomic datasets. Furthermore, it examines the contributions of bioinformatics in the field of pharmacogenomics.