Quantitative Scientist, Pharmacometrician, Computational Scientist, Data Scientist, or Translational Modeler

The Savic Integrated Pharmacology Laboratory at UCSF is seeking a Ph.D. level scientist to play a scientific leadership role within the PReDiCTR-TB Consortium, focusing on model-informed drug development and AI-enabled translational science for tuberculosis treatment regimens. The role involves designing and implementing computational models, machine learning approaches, and quantitative decision-support tools to advance drug regimen development and clinical translation. This position requires integrating diverse datasets to develop predictive models that support regimen optimization, dose selection, and translational decision-making across global health initiatives.