Senior Research Investigator/Research Investigator, QSP

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.

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 with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.

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 with a primary focus on hematology, oncology, and cell therapy applications to primarily impact clinical development.  QSP models are mechanistic, mathematical models based on integration of non-clinical/clinical knowledge and data to represent varying scales of drug pharmacology from target binding and modulation through disease pathophysiology and multi-drug pharmacology. They can be applied to aid in target prioritization, therapeutic modality selection, chemical/biotherapeutic optimization, biomarker characterization, combination assessment, clinical trial design, and trial interpretation.

Responsibilities:

• Provide leadership to and collaboration with multidisciplinary project teams to develop and apply QSP models

• Partner with external groups to accelerate the internal Systems Pharmacology efforts in key disease areas

• Provide expert support to project teams to design, execute and interpret clinical studies

• With some supervision, network with stakeholders in other functions to facilitate model development and application

• Coordinate with the QSP&PBPK methods lead on methodologies for virtual population workflows and script-based analysis packages and customize as needed

• With some supervision, align QSP model deliverables with clinical pharmacology, pre-clinical, and clinical development plans as appropriate

• 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

Position requirements:

• Ph.D. in Engineering, Mathematics, Bioinformatics, Pharmacometrics, Systems Biology/Pharmacology or a related field

• Following the Ph.D., 2+ years of mathematical modeling & computer simulation experience in the pharmaceutical industry for the Sr. Research Investigator level.  No additional industry experience is needed for the Research Investigator level

• Experience within the pharmaceutical industry or pharmaceutical consulting is desired (academic post-doctoral or faculty may be a consideration depending on the totality of prior experience)

• Excellent understanding of theory, principles and statistical aspects of advanced mathematical modeling and simulation

• 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, Entelos PhysioLab Platform, DBSolve, etc.  Experience with MATLAB SimBiology would be particularly desirable

• Experience with general programming and data analysis tools/languages such as MATLAB, Python, R, 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