Bristol Myers Squibb Company

Quantitative Systems Pharmacology Position - (Sr) Research Investigator

Location
Princeton, NJ, United States
Posted
Sep 03, 2020
Ref
R1526963
Required Education
Doctorate/PHD/MD
Position Type
Full time
At Bristol Myers Squibb, we are inspired by a single vision - transforming patients' lives through science.In oncology, hematology, immunology and cardiovascular disease - and one of the most diverse and promising pipelines in the industry - each of our passionate colleagues contribute to innovations that drive meaningful change. We bring a human touch to every treatment we pioneer. Join us and make a difference.

Quantitative Systems Pharmacology Position - (Senior) Research Investigator

Candidate will be hired at level commensurate with experience and education

Summary:

The Quantitative Clinical Pharmacology (QCP) group within Clinical Pharmacology & Pharmacometrics (CP&P) is searching 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

0-5 years post-graduate experience in building, validating and using QSP models or deterministic models of biological pathways/systems to support translational and/or clinical research.

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.


Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

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.