Job ID: R1121462
Job date: 2017-12-01
End Date:
Company : Bristol Myers Squibb’s Country : Role : Research Scientist
Job date: 2017-12-01
End Date:
Company : Bristol Myers Squibb’s Country : Role : Research Scientist
Job Description:
The Quantitative Clinical Pharmacology (QCP) group within Clinical Pharmacology & Pharmacometrics (CP&P) is searching for a scientist with specific expertise in Quantitative Systems Pharmacology (QSP). The scientist will join the QCP group to develop predictive mechanistic mathematical models using the principles of Pharmacology and Systems Biology (i.e. Systems Pharmacology) to address drug-discovery and development questions pertaining to key disease areas (Oncology, Immunology, Fibrosis, and/or Heart Failure). The responsibilities of the scientist will include: · Providing leadership to and collaboration with multidisciplinary project teams to develop and apply Quantitative Systems Pharmacology (QSP) models to aid in target prioritization, therapeutic modality selection, chemical/biotherapeutic optimization, biomarker characterization and early clinical trial design · Working with external groups to accelerate the internal Systems Pharmacology efforts in key disease areas · Providing expert support to project teams to design, execute and interpret clinical studies · Maintaining an active relationship with colleagues in Clinical Pharmacology & Pharmacometrics at the project level as well as in the advancement of Pharmacometrics · Networking as appropriate with experts in Discovery Biology, Non-Clinical PK/PD and other groups to share learnings and enhance consistency in best practices · Network with stakeholders in Discovery Biology to identify and interpret experiments critical for model development and refinement · Learn and further the development of QSP virtual population workflows and script-based analysis packages · Keeping up to date with emerging literature and science in the systems biology/pharmacology modeling and simulation sciences Building a personal track record of publication in the area of QSP Position Requirements: · Ph.D. in Engineering, Mathematics, Bioinformatics, Pharmacometrics, Systems Biology/Pharmacology or a related field, with 2+ years of mathematical modeling & computer simulation experience for biomedical/pharmaceutical applications (experience within the pharmaceutical industry or pharmaceutical consulting would be desirable). Candidates with M.S. degree and significantly more industry experience will also be considered · Excellent understanding of theory, principles and statistical aspects of advanced mathematical modeling and simulation. Knowledge of process control theory would be beneficial · Good understanding of the basic principles of pharmacokinetics and pharmacodynamics · Ability to learn new areas of biological sciences and build on solid foundation of quantitative skills to develop QSP models · Ability to communicate internally and externally on topics related to CP&P and QSP is required · Ability to keep up-to-date with and propose the implementation of scientific and technological developments in the area of Systems Pharmacology/Biology · Hands-on experience with modeling software like Matlab/SimBiology/Simulink, JDesigner/Systems Biology Workbench, Entelos PhysioLab Platform, DBSolve, etc. Experience with Matlab SimBiology would be particularly desirable · Experience with general programming and data analysis tools/languages such as Python, R, Matlab, Spotfire, etc., is required · Desire to interact as a modeling and simulation expert across clinical development teams with experts from different functional areas (pre-clinical and clinical) · Experience working in one of BMS’ disease areas interest is desirable (Oncology, Immunology, Fibrosis, and/or Heart Failure) · Knowledge of current practices and issues in pharmaceutical R&D in disciplines such as clinical pharmacology, bioanalytical, biopharmaceutics, and toxicology would be a plus
Additional Info:
[Click Here to Access the Original Job Post]
The Quantitative Clinical Pharmacology (QCP) group within Clinical Pharmacology & Pharmacometrics (CP&P) is searching for a scientist with specific expertise in Quantitative Systems Pharmacology (QSP). The scientist will join the QCP group to develop predictive mechanistic mathematical models using the principles of Pharmacology and Systems Biology (i.e. Systems Pharmacology) to address drug-discovery and development questions pertaining to key disease areas (Oncology, Immunology, Fibrosis, and/or Heart Failure). The responsibilities of the scientist will include: · Providing leadership to and collaboration with multidisciplinary project teams to develop and apply Quantitative Systems Pharmacology (QSP) models to aid in target prioritization, therapeutic modality selection, chemical/biotherapeutic optimization, biomarker characterization and early clinical trial design · Working with external groups to accelerate the internal Systems Pharmacology efforts in key disease areas · Providing expert support to project teams to design, execute and interpret clinical studies · Maintaining an active relationship with colleagues in Clinical Pharmacology & Pharmacometrics at the project level as well as in the advancement of Pharmacometrics · Networking as appropriate with experts in Discovery Biology, Non-Clinical PK/PD and other groups to share learnings and enhance consistency in best practices · Network with stakeholders in Discovery Biology to identify and interpret experiments critical for model development and refinement · Learn and further the development of QSP virtual population workflows and script-based analysis packages · Keeping up to date with emerging literature and science in the systems biology/pharmacology modeling and simulation sciences Building a personal track record of publication in the area of QSP Position Requirements: · Ph.D. in Engineering, Mathematics, Bioinformatics, Pharmacometrics, Systems Biology/Pharmacology or a related field, with 2+ years of mathematical modeling & computer simulation experience for biomedical/pharmaceutical applications (experience within the pharmaceutical industry or pharmaceutical consulting would be desirable). Candidates with M.S. degree and significantly more industry experience will also be considered · Excellent understanding of theory, principles and statistical aspects of advanced mathematical modeling and simulation. Knowledge of process control theory would be beneficial · Good understanding of the basic principles of pharmacokinetics and pharmacodynamics · Ability to learn new areas of biological sciences and build on solid foundation of quantitative skills to develop QSP models · Ability to communicate internally and externally on topics related to CP&P and QSP is required · Ability to keep up-to-date with and propose the implementation of scientific and technological developments in the area of Systems Pharmacology/Biology · Hands-on experience with modeling software like Matlab/SimBiology/Simulink, JDesigner/Systems Biology Workbench, Entelos PhysioLab Platform, DBSolve, etc. Experience with Matlab SimBiology would be particularly desirable · Experience with general programming and data analysis tools/languages such as Python, R, Matlab, Spotfire, etc., is required · Desire to interact as a modeling and simulation expert across clinical development teams with experts from different functional areas (pre-clinical and clinical) · Experience working in one of BMS’ disease areas interest is desirable (Oncology, Immunology, Fibrosis, and/or Heart Failure) · Knowledge of current practices and issues in pharmaceutical R&D in disciplines such as clinical pharmacology, bioanalytical, biopharmaceutics, and toxicology would be a plus
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Additional Info:
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