Associate Director/Sr. Research Investigator/ Research Investigator, QSP (Immunoscience)

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Summary:

Our QSP&PBPK team has established expertise, impact, and tools, and we are looking for a highly motivated scientist to develop and apply Quantitative Systems Pharmacology (QSP) models 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 position is an exciting opportunity to impact critical decision making in the progression of multi-target drug R&D in Immunology. The successful scientist will be working on a highly stimulating and collaborative environment with biologists, clinicians, pharmacometricians, translational medicine scientists, and in-house QSP modelers.

Position responsibilities (depending on level/experience)

• Developing and applying Quantitative Systems Pharmacology (QSP) models to address drug-discovery and development questions in the Immunology disease area.
• Function as part of team to develop and rigorously assess the functionality, feasibility, efficiency and validity of new models.
• Conduct extensive literature review to identify suitable mechanistic elements, interactions, rate constants and sub-modules for incorporation into systems (disease) models.
• Contribute to the design, execution and interpretation of clinical studies.
• Providing leadership to and collaboration with multidisciplinary project teams to develop and apply QSP models to aid in target prioritization, therapeutic modality selection, biomarker characterization and early clinical trial design.
• Partnering with external groups to accelerate the internal Systems Pharmacology efforts in key disease areas.
• Maintaining at the project level an active relationship with colleagues in Clinical Pharmacology & Pharmacometrics as well as in the advancement of Pharmacometrics.
• Network with stakeholders in Discovery Biology, Clinical Development, and Translational Medicine to facilitate model development and application.
• Align QSP model deliverables with the clinical pharmacology and clinical development plans
• Leverage existing virtual population workflows and script-based analysis packages.
• Stay informed with emerging literature and science in the systems biology/pharmacology modeling and simulation sciences.
• Build and maintain a personal track record of publication in the area of QSP.

Degree requirements:

Ph.D. in Engineering, Mathematics, Bioinformatics, Pharmacometrics, Systems Biology/Pharmacology or a related field with a proven record of productivity as demonstrated by publications and conference presentations.

Experience Requirements

• For Associate Director level, in addition to the Ph.D., 5+ years of mathematical modeling & computer simulation experience for biomedical/pharmaceutical applications within the pharmaceutical industry or pharmaceutical consulting. Post-doctoral may be considered depending on the totality of prior experience.
• For Sr. Research Investigator level, in addition to the Ph.D., 2+ years of mathematical modeling & computer simulation experience for biomedical/pharmaceutical applications within the pharmaceutical industry or pharmaceutical consulting. Post-doctoral may be considered depending on the totality of prior experience.
• For the Research Investigator level, pharmaceutical or pharmaceutical consulting industry experience is not required
• M.S. in appropriate field with significantly more experience may be considered

Key Competency Requirements

• Self-directed, independent and highly-motivated researcher who excels in a collaborative, multi-disciplinary environment.
• Excellent understanding of theory, principles and statistical aspects of advanced mathematical modeling and simulation, including numerical methods, parameter estimation/optimization, ordinary differential equations (ODEs) and how these can be applied in the development of complex models of biological pathways/systems.
• Excellent oral and written communication skills and the ability to interact effectively with scientists in other disciplines with a positive, collegial and collaborative attitude.
• 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 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 is required.
• Experience with general programming and data analysis tools/languages such as Python, R, Spotfire would be particularly desirable.
• Desire to interact as a modeling and simulation expert across clinical development teams with experts from different functional areas (pre-clinical and clinical).
• Familiarity with the challenges and general application of mathematical modeling/simulation in pharmaceutical R&D.

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On-site Protocol
Physical presence at the BMS worksite or physical presence in the field is a necessary job function of this role, which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and it enhances the Company culture.

COVID-19 Information
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