This full-time, 12-month postdoctoral research position focuses on advancing drug development and regulatory science through computational modeling, machine learning, and systems pharmacology.
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.
Applicants should demonstrate a strong publication record, excellent communication skills, and relevant experience in PK/PD modeling or regulatory science is desirable.
Qualified candidates will contribute to innovative research in drug development, collaborate with experts, and support the mission of advancing medicine through science and collaboration.