Build and maintain computational tools, workflows, AI/ML models, and databases for the processing and analysis of complex drug discovery datasets, including DNA-encoded library (DEL) data analysis, DEL library construction, druggability evaluation, target/presenter gluability and ADMET prediction. Analyze and interpret experimental data (such as ternary and binary biochemical, biophysical and cellular assay data, X-ray/Cryo-EM structures, XL-MS/HDX/NMR, DEL data, proteomics screening) to generate actionable insights that guide project decisions and impact the design-make-test-analyze (DMTA) cycle.