University of California - San Francisco Campus and Health
Pharmacokineticist (PK/PD Modeling)
University of California - San Francisco Campus and Health, San Francisco, California, United States, 94199
Pharmacokineticist (PK/PD Modeling)Bioengineering
Full Time
Job Summary
The Savic Lab at UCSF is looking for an experienced
Pharmacokinetic-Pharmacodynamic (PKPD) Modeler
who has the ability to work on and/or manage multiple complex projects simultaneously. Equipped with cutting-edge technology to ensure the successful delivery of projects, the incumbent will use advanced computational, computer science, and data science research and development principles, with a focus on computational biology, biological systems modeling, and pharmacometrics. We are looking to enhance the group's platform development capabilities with experienced PKPD modelers who come with teamwork, coding, statistics, and expertise. You will be responsible for developing and applying quantitative models to the discovery and development of therapeutic drug candidates. We are seeking modeling and simulation-minded scientists to contribute to a team environment as we use diverse analytical and computational tools to characterize factors influencing the pharmacokinetic and pharmacodynamic properties of drugs. We need a dynamic and driven scientist who can:
Integrate quantitative approaches into drug discovery.
Conduct modeling and simulation to inform drug discovery and translation of drug properties.
Communicate quantitative data, both internally and in the scientific community.
Provide scientific and modeling leadership to research teams.
Confidently conduct Population Pharmacokinetic and Pharmacokinetic-Pharmacodynamic modeling code and methodology review in NONMEM and other biological modeling applications.
The final salary and offer components are subject to additional approvals based on UC policy.
To see the salary range for this position (we recommend that you make a note of the job code and use that to look up): TCS Non-Academic Titles Search (https://tcs.ucop.edu/non-academic-titles)
Please note: An offer will take into consideration the experience of the final candidate AND the current salary level of individuals working at UCSF in a similar role.
For roles covered by a bargaining unit agreement, there will be specific rules about where a new hire would be placed on the range.
To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html
Department Description
The Department of Bioengineering and Therapeutic Sciences is a joint department that reports to both the School of Medicine (SOM) and the School of Pharmacy (SOP). Its faculty perform high-quality basic, translational and clinical research in the fields of drug development, pharmacogenomics, therapeutic engineering and computational biology. It educates PharmD, MD professionals and PhDs in bioengineering and therapeutic sciences.
The research laboratory of Dr. Savic, in the Department of Bioengineering and Therapeutic Sciences of the University of California, San Francisco (UCSF), is engaged in groundbreaking drug development projects for infectious diseases including tuberculosis, HIV, and malaria, as well as pain management and autoimmune disease with a focus on identifying optimal treatment regimens. We develop and apply disease models, perform pharmacokinetic and pharmacodynamic evaluations, build physiology-based pharmacokinetic models, conduct exposure-response analyses, and utilize model-based simulations with the ultimate goal to optimize treatment in adult and pediatric patient populations.
Required Qualifications
Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience.
Minimum 5 years of related experience.
Industry or academic experience in PBPK, QSP, PK/PD, Clinical Pharmacology, exposure-response modeling, or other modeling & simulation related field.
Experience using relevant software such as NONMEM, R, SimCYP, Monolix, Python, MATLAB, or similar.
Advanced knowledge of HPC / data science / CI / statistical methods.
Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences.
Self-motivated and works independently and as part of a team.
In depth ability to successfully work and / or lead multiple concurrent projects. Demonstrated research and technology project leadership and management skills.
Preferred Qualifications
PhD in Pharmacometrics, Pharmacokinetics/Pharmacodynamics, Clinical Pharmacology, DMPK, Pharmaceutics, Computational Sciences, Engineering, or a related field.
Demonstrated track record of analyzing large biological datasets.
About UCSF
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences.
Pride Values
UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values.
Equal Employment Opportunity
The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
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Full Time
Job Summary
The Savic Lab at UCSF is looking for an experienced
Pharmacokinetic-Pharmacodynamic (PKPD) Modeler
who has the ability to work on and/or manage multiple complex projects simultaneously. Equipped with cutting-edge technology to ensure the successful delivery of projects, the incumbent will use advanced computational, computer science, and data science research and development principles, with a focus on computational biology, biological systems modeling, and pharmacometrics. We are looking to enhance the group's platform development capabilities with experienced PKPD modelers who come with teamwork, coding, statistics, and expertise. You will be responsible for developing and applying quantitative models to the discovery and development of therapeutic drug candidates. We are seeking modeling and simulation-minded scientists to contribute to a team environment as we use diverse analytical and computational tools to characterize factors influencing the pharmacokinetic and pharmacodynamic properties of drugs. We need a dynamic and driven scientist who can:
Integrate quantitative approaches into drug discovery.
Conduct modeling and simulation to inform drug discovery and translation of drug properties.
Communicate quantitative data, both internally and in the scientific community.
Provide scientific and modeling leadership to research teams.
Confidently conduct Population Pharmacokinetic and Pharmacokinetic-Pharmacodynamic modeling code and methodology review in NONMEM and other biological modeling applications.
The final salary and offer components are subject to additional approvals based on UC policy.
To see the salary range for this position (we recommend that you make a note of the job code and use that to look up): TCS Non-Academic Titles Search (https://tcs.ucop.edu/non-academic-titles)
Please note: An offer will take into consideration the experience of the final candidate AND the current salary level of individuals working at UCSF in a similar role.
For roles covered by a bargaining unit agreement, there will be specific rules about where a new hire would be placed on the range.
To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html
Department Description
The Department of Bioengineering and Therapeutic Sciences is a joint department that reports to both the School of Medicine (SOM) and the School of Pharmacy (SOP). Its faculty perform high-quality basic, translational and clinical research in the fields of drug development, pharmacogenomics, therapeutic engineering and computational biology. It educates PharmD, MD professionals and PhDs in bioengineering and therapeutic sciences.
The research laboratory of Dr. Savic, in the Department of Bioengineering and Therapeutic Sciences of the University of California, San Francisco (UCSF), is engaged in groundbreaking drug development projects for infectious diseases including tuberculosis, HIV, and malaria, as well as pain management and autoimmune disease with a focus on identifying optimal treatment regimens. We develop and apply disease models, perform pharmacokinetic and pharmacodynamic evaluations, build physiology-based pharmacokinetic models, conduct exposure-response analyses, and utilize model-based simulations with the ultimate goal to optimize treatment in adult and pediatric patient populations.
Required Qualifications
Bachelor's degree in Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience.
Minimum 5 years of related experience.
Industry or academic experience in PBPK, QSP, PK/PD, Clinical Pharmacology, exposure-response modeling, or other modeling & simulation related field.
Experience using relevant software such as NONMEM, R, SimCYP, Monolix, Python, MATLAB, or similar.
Advanced knowledge of HPC / data science / CI / statistical methods.
Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences.
Self-motivated and works independently and as part of a team.
In depth ability to successfully work and / or lead multiple concurrent projects. Demonstrated research and technology project leadership and management skills.
Preferred Qualifications
PhD in Pharmacometrics, Pharmacokinetics/Pharmacodynamics, Clinical Pharmacology, DMPK, Pharmaceutics, Computational Sciences, Engineering, or a related field.
Demonstrated track record of analyzing large biological datasets.
About UCSF
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences.
Pride Values
UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values.
Equal Employment Opportunity
The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
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