Senior Staff Scienitst-Quantitative Modeling, AI & Pharmacometrics
 University of California - San Francisco | |||||||||||||||||||||||||||||||||||||||||||
$121,900 - $199,500
| |||||||||||||||||||||||||||||||||||||||||||
 United States, California, San Francisco | |||||||||||||||||||||||||||||||||||||||||||
| 1700 4th Street (Show on map) | |||||||||||||||||||||||||||||||||||||||||||
 Jun 30, 2026 | |||||||||||||||||||||||||||||||||||||||||||
|
Job Function Summary: Applies advanced computational, computer science, data science, statistical, and quantitative modeling principles, together with domain expertise in pharmacology, drug development, and translational science, to perform research and technology development supporting model-informed drug development (MIDD). Responsibilities include the design, development, implementation, validation, and application of computational models, machine learning approaches, simulation frameworks, and quantitative decision-support tools used to advance drug regimen development and clinical translation. The position integrates diverse preclinical, clinical, and real-world datasets to develop predictive models that support regimen optimization, dose selection, trial design, and translational decision-making. Research activities may include pharmacometric modeling, quantitative systems pharmacology (QSP), mechanistic and Bayesian modeling, artificial intelligence and machine learning methods, statistical analyses, and development of computational workflows and scientific software. This specialty exists for positions whose primary responsibility is to conduct independent quantitative research and use computational and data science technologies to advance biomedical and translational research. Generic Scope Technical leader with a high degree of knowledge in the overall field and recognized expertise in specific areas; problem-solving frequently requires analysis of unique issues / problems without precedent and / or structure. May manage programs that include formulating strategies and administering policies, processes, and resources; functions with a high degree of autonomy. Custom Scope The Savic Integrated Pharmacology Laboratory at UCSF seeks a senior quantitative scientist to lead the development and application of advanced computational, statistical, pharmacometric, and machine learning methodologies to support model-informed drug development (MIDD) within the PReDiCTR-TB Consortium. The incumbent will apply expertise in pharmacometrics, quantitative systems pharmacology, AI/ML, computational biology, and translational modeling to develop predictive frameworks that inform regimen optimization, dose selection, clinical trial design, and translational decision-making for infectious disease drug development. The position requires scientific leadership across multiple complex projects and collaboration with academic, industry, and regulatory stakeholders. The incumbent will independently design, develop, validate, and deploy quantitative models and computational tools that integrate preclinical, clinical, and real-world datasets, and will contribute to publications, grant applications, and strategic scientific initiatives across the consortium. DUTIES & ESSENTIAL JOB FUNCTIONS Identify the functions or tasks that employees in the job perform. The essential functions should state the purpose of the work and the results to be accomplished, rather than how the function is performed. Of the tasks listed, what percentage of time is devoted to each? The more time employees spend on a function, the more likely it is that the function is essential. Generally, include those functions that account for 10% or more of the work, i.e., key items that contribute significantly to the achievement of the job. The functions should add up to 100%.
Required Qualifications
Preferred Qualifications
Required Qualifications
Preferred Qualifications
| |||||||||||||||||||||||||||||||||||||||||||