| n | Job Description: | n | Job Function Summary: |
| 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 | Qualifications: | t | Applies advanced computational, computer science, data science, statistical, and quantitative model |
| | | 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. |