Ideal candidates will hold a PhD in Biostatistics, Bioinformatics, Data Science, Pharmaceutical Sciences, Computer Science, or related fields, with expertise in data analysis, modeling, and machine learning. Responsibilities include integrating mechanistic and data-driven approaches to analyze drug properties, patient responses, and benefit-risk profiles using real-world and regulatory datasets.