University of California
Postdoctoral Opportunity at UCSF - Modeling and Simulation Tools for Drug Develo
University of California, San Francisco, California, United States, 94199
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Postdoctoral Opportunity at UCSF - Modeling and Simulation Tools for Drug Development, AI-based Models, and Regulatory SciencesPostdoctoral Opportunity at UCSF - Modeling and Simulation Tools for Drug Development, AI-based Models, and Regulatory Sciences
Location:
Mission Bay, San Francisco, CA 94158, United StatesJob Posted Date:
September 10, 2024Position Type:
Full-time Postdoc PositionsThe Lab of Liang Zhao, in the Department of Bioengineering and Therapeutic Sciences at the University of California, San Francisco (UCSF), is seeking highly motivated and talented postdoctoral scholars to join our research team. We are focused on advancing drug development and regulatory science through cutting-edge research in pharmacometrics, drug delivery modeling, and artificial intelligence (AI)-based tools that will closely impact drug development and regulatory decision making.Position OverviewAs a postdoctoral researcher, you will:Develop pharmacometrics models for drug efficacy and safety analysis.Build and optimize drug delivery models for targeted and personalized therapies.Integrate AI and machine learning techniques to enhance drug development and regulatory science processes.Collaborate with interdisciplinary teams, including pharmacologists, bioengineers, and data scientists.Key ResponsibilitiesConduct innovative research in quantitative pharmacology and therapeutic modeling.Develop novel algorithms and models for drug delivery and pharmacometrics.Create AI-driven solutions for optimizing drug discovery and development workflows.Publish findings in high-impact scientific journals and present at leading conferences.Contribute to grant writing and the development of collaborative research projects.QualificationsPh.D. in Pharmaceutical Sciences, Bioengineering, Data Science, Computer Science, or a related field.Strong background in pharmacometrics, drug delivery systems, or AI applications in biomedical sciences.Experience with modeling and simulation software (e.g., NONMEM, MATLAB, R, Python).Proven track record of peer-reviewed publications.Strong analytical and problem-solving skills, with a collaborative mindset.Why Join Us?Work at a leading academic institution renowned for its cutting-edge research in drug development and regulatory science.Access to UCSF’s world-class research facilities and collaborations with top-tier scientists and industry leaders.A dynamic and supportive research environment dedicated to advancing personalized medicine and innovative therapeutic strategies.How to Apply:
Interested candidates should prepare the following documents in the order listed below as a single combined PDF and send to Nathan Dang (nathan.dang@ucsf.edu) by October 4, 2024. The PDF file name should follow this format: FirstName_LastName_ZhaoLabPostdocApplication.pdfA cover letter describing your research interests and how they align with our work. Please include your name, address, email, and phone number at the top.A current CV.Academic transcripts from graduate/professional schools. Unofficial transcripts are acceptable.Contact information for three references. Please provide full name, title, affiliation, email, and phone number.
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Postdoctoral Opportunity at UCSF - Modeling and Simulation Tools for Drug Development, AI-based Models, and Regulatory SciencesPostdoctoral Opportunity at UCSF - Modeling and Simulation Tools for Drug Development, AI-based Models, and Regulatory Sciences
Location:
Mission Bay, San Francisco, CA 94158, United StatesJob Posted Date:
September 10, 2024Position Type:
Full-time Postdoc PositionsThe Lab of Liang Zhao, in the Department of Bioengineering and Therapeutic Sciences at the University of California, San Francisco (UCSF), is seeking highly motivated and talented postdoctoral scholars to join our research team. We are focused on advancing drug development and regulatory science through cutting-edge research in pharmacometrics, drug delivery modeling, and artificial intelligence (AI)-based tools that will closely impact drug development and regulatory decision making.Position OverviewAs a postdoctoral researcher, you will:Develop pharmacometrics models for drug efficacy and safety analysis.Build and optimize drug delivery models for targeted and personalized therapies.Integrate AI and machine learning techniques to enhance drug development and regulatory science processes.Collaborate with interdisciplinary teams, including pharmacologists, bioengineers, and data scientists.Key ResponsibilitiesConduct innovative research in quantitative pharmacology and therapeutic modeling.Develop novel algorithms and models for drug delivery and pharmacometrics.Create AI-driven solutions for optimizing drug discovery and development workflows.Publish findings in high-impact scientific journals and present at leading conferences.Contribute to grant writing and the development of collaborative research projects.QualificationsPh.D. in Pharmaceutical Sciences, Bioengineering, Data Science, Computer Science, or a related field.Strong background in pharmacometrics, drug delivery systems, or AI applications in biomedical sciences.Experience with modeling and simulation software (e.g., NONMEM, MATLAB, R, Python).Proven track record of peer-reviewed publications.Strong analytical and problem-solving skills, with a collaborative mindset.Why Join Us?Work at a leading academic institution renowned for its cutting-edge research in drug development and regulatory science.Access to UCSF’s world-class research facilities and collaborations with top-tier scientists and industry leaders.A dynamic and supportive research environment dedicated to advancing personalized medicine and innovative therapeutic strategies.How to Apply:
Interested candidates should prepare the following documents in the order listed below as a single combined PDF and send to Nathan Dang (nathan.dang@ucsf.edu) by October 4, 2024. The PDF file name should follow this format: FirstName_LastName_ZhaoLabPostdocApplication.pdfA cover letter describing your research interests and how they align with our work. Please include your name, address, email, and phone number at the top.A current CV.Academic transcripts from graduate/professional schools. Unofficial transcripts are acceptable.Contact information for three references. Please provide full name, title, affiliation, email, and phone number.
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