Location
Princeton, NJ, United States
Posted on
Apr 04, 2020
Profile
Bristol-Myers Squibb is a global Biopharma company committed to a single mission: to discover, develop, and deliver innovative medicines focused on helping millions of patients around the world in disease areas such as oncology, cardiovascular, immunoscience and fibrosis.
Join us and make a difference. We hire the best people and provide them with a work environment that places a premium on diversity, integrity, collaboration and personal development. Through a culture of inclusion, we create a better, more productive work environment. We believe that the diverse experiences and perspectives of all our employees help to drive innovation and transformative business results.
The Quantitative Clinical Pharmacology (QCP) group within Clinical Pharmacology & Pharmacometrics (CP&P) is searching for a scientist to lead the Quantitative Systems Pharmacology (QSP) - Immunology group. This scientist will develop and apply Quantitative Systems Pharmacology (QSP) models to address drug-discovery and development questions in the Immunology disease area. QSP models are mathematical models that are used to integrate knowledge and data on disease pathophysiology and drug pharmacology in a mechanistic manner. This enables hypothesis generation and testing in target discovery, translational pharmacology and clinical drug development. This scientist will also lead a team of junior scientists focused on developing and applying QSP models in support of Immunology drug development.
Position responsibilities include:
Managing, training, and mentoring junior scientists in the QSP-Immunology group
Providing leadership to and collaboration with multidisciplinary project teams to develop and apply QSP models to aid in target discovery, translational pharmacology, and clinical development
Providing QSP model-based predictions and expert support to project teams to design, execute and interpret clinical studies
Working with external collaborators to accelerate the internal QSP model development and application efforts
Maintaining an active relationship with colleagues in Clinical Pharmacology & Pharmacometrics at the project level as well as in the advancement of model-informed drug development
Networking as appropriate with experts in Discovery Biology, Clinical Development, Non-Clinical PK/PD, Translational Medicine, as well as other groups to share learnings and enhance consistency in best practices
Keeping up to date with emerging literature and science in QSP and Immunology, and Autoimmune Disease
Building/maintaining a personal track record of publication in the area of QSP
Aligning the Immunology QSP strategy with organizational priorities
Establish and maintain effective collaborations with stakeholders in other functional areas
Degree requirements:
Ph.D. in Engineering, Mathematics, Bioinformatics, Pharmacometrics, Systems Biology/Pharmacology or a related field
Experience Requirements
8 years of pharmaceutical industry experience, including significant experience in developing and applying QSP modeling to support translational and clinical research
Key Competency Requirements
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 drug development and drug pharmacology, including the principles of pharmacokinetics and pharmacodynamics
Extensive experience and knowledge of Immunology (or related disease area) and issues in drug discovery/development in that disease area
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 such as 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)
Knowledge of current practices and issues in pharmaceutical R&D in disciplines such as clinical pharmacology, bioanalytical, biopharmaceutics, and toxicology would be a plus
Bristol-Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees the resources to pursue their goals, both at work and in their personal lives.
Bristol-Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
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