| n | Job Function Summary: | n | Job Description: |
| | | Job Function Summary: Applies advanced computational, computer science, data science, statistical, a |
| | | nd quantitative modeling principles, together with domain expertise in pharmacology, drug developmen |
| | | t, and translational science, to perform research and technology development supporting model-inform |
| | | ed drug development (MIDD). Responsibilities include the design, development, implementation, valida |
| | | tion, and application of computational models, machine learning approaches, simulation frameworks, a |
| | | nd quantitative decision-support tools used to advance drug regimen development and clinical transla |
| | | tion. The position integrates diverse preclinical, clinical, and real-world datasets to develop pred |
| | | ictive models that support regimen optimization, dose selection, trial design, and translational dec |
| | | ision-making. Research activities may include pharmacometric modeling, quantitative systems pharmaco |
| | | logy (QSP), mechanistic and Bayesian modeling, artificial intelligence and machine learning methods, |
| | | statistical analyses, and development of computational workflows and scientific software. This spec |
| | | ialty exists for positions whose primary responsibility is to conduct independent quantitative resea |
| | | rch and use computational and data science technologies to advance biomedical and translational rese |
| | | arch. Generic Scope Technical leader with a high degree of knowledge in the overall field and recogn |
| | | ized expertise in specific areas; problem-solving frequently requires analysis of unique issues / pr |
| | | oblems 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. Cus |
| | | tom 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 PReDiCT |
| | | R-TB Consortium. The incumbent will apply expertise in pharmacometrics, quantitative systems pharmac |
| | | ology, AI/ML, computational biology, and translational modeling to develop predictive frameworks tha |
| | | t inform regimen optimization, dose selection, clinical trial design, and translational decision-mak |
| | | ing for infectious disease drug development. The position requires scientific leadership across mult |
| | | iple complex projects and collaboration with academic, industry, and regulatory stakeholders. The in |
| | | cumbent will independently design, develop, validate, and deploy quantitative models and computation |
| | | al tools that integrate preclinical, clinical, and real-world datasets, and will contribute to publi |
| | | cations, grant applications, and strategic scientific initiatives across the consortium. |
| | | |
| t | Applies advanced computational, computer science, data science, statistical, and quantitative model | t | Qualifications: |
| ing 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 decis | | |
| ion-support tools used to advance drug regimen development and clinical translation. The position in | | |
| tegrates diverse preclinical, clinical, and real-world datasets to develop predictive models that su | | |
| pport regimen optimization, dose selection, trial design, and translational decision-making. Researc | | |
| h activities may include pharmacometric modeling, quantitative systems pharmacology (QSP), mechanist | | |
| ic and Bayesian modeling, artificial intelligence and machine learning methods, statistical analyses | | |
| , and development of computational workflows and scientific software. This specialty exists for posi | | |
| tions whose primary responsibility is to conduct independent quantitative research and use computati | | |
| onal and data science technologies to advance biomedical and translational research. | | |
| | | Required Qualifications - Bachelor's degree in Computer / Computational / Data Science, or Domain Sc |
| | | iences with computer / computational / data specialization or equivalent experience. - Minimum 5 yea |
| | | rs relevant experience - Advanced knowledge of pharmacometrics, quantitative pharmacology, statistic |
| | | al modeling, and computational science - Demonstrated expertise in model-informed drug development ( |
| | | MIDD) - Experience developing mechanistic, PK/PD, Bayesian, or machine learning models - Advanced pr |
| | | ogramming skills in Python and/or R - Ability to integrate large-scale biological, clinical, and tra |
| | | nslational datasets - Demonstrated scientific leadership and independent research capability - Abili |
| | | ty to communicate complex quantitative concepts to scientific and non-scientific audiences - Experie |
| | | nce managing multiple concurrent research projects Preferred Qualifications - Master's degree in Com |
| | | puter / Computational / Data Science, or Domain Sciences with computer / computational / data specia |
| | | lization preferred. - Postdoctoral or industry experience in quantitative drug development - QSP, AI |
| | | /ML - Pharmacogenomics, Toxicokinetics - Clinical trial simulation, Infectious disease modeling - TB |
| | | experience, Regulatory interactions - Grant writing experience |
| Generic Scope | | |
| | | |
| Technical leader with a high degree of knowledge in the overall field and recognized expertise in s | | |
| pecific areas; problem-solving frequently requires analysis of unique issues / problems without prec | | |
| edent 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 Cons | | |
| ortium. 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 i | | |
| nfectious disease drug development. The position requires scientific leadership across multiple comp | | |
| lex projects and collaboration with academic, industry, and regulatory stakeholders. The incumbent w | | |
| ill 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. | | |