Sr. Research Investigator/Research Investigator, QSP&PBPK Methods

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 Sr. Research Investigator/Research Investigator, QSP&PBPK Methods Quantitative Systems Pharmacology (QSP) & Physiologically Based Pharmacokinetics (PBPK) have become an important component of discovery and clinical development. Mechanistic model and data characterization, calibration, and validation are critical aspects of QSP&PBPK modeling approaches needed during model development and application to establish confidence in models, confidence in their predictions, and leverage data to guide modeling efforts in innovative ways. Our QSP&PBPK team has established expertise, impact, and tools to develop, calibrate, and apply QSP and PBPK models. We are searching for a scientist with expertise in model calibration algorithms and pipelines. Expertise with virtual population approaches is highly desired but advanced mathematical or statistical training and experience developing customized Bayesian algorithms would be a reasonable background. This scientist will bring expertise in calibrating the population variability in mechanistic models and experience leading scripted toolbox development. Responsibilities: Provide leadership for existing model calibration and computing capabilities and future model, technology, and algorithm innovation and development Advance novel and rigorous methodologies for model variability calibration, sensitivity analysis, and prediction uncertainty characterization Advance existing and lead development of new tools that can be deployed using parallel resources on compute clusters with thousands of workers to accelerate characterization and calibration of ordinary differential equation models with substantial compute times in high dimensional spaces Assist therapeutic area expert modelers to accelerate efforts and ensure timely model development and calibration to impact drug development programs and coordinate technology development Maintain, advance, and coordinate codebases and documentation for data integration and analysis as well as model simulation, characterization, and calibration Serve as a primary liason with company Information Technology and Scientific and Digital Capability groups and coordinate QSP&PBPK group technology strategy Partner with external groups to accelerate the internal efforts in key technology areas Contribute to the standards of practice within the department With some supervision, network with stakeholders in R&ED, GDD, and other functions to facilitate methods, data, and model development and application Serve as a subject matter expert to both internal colleagues and the external scientific community Stay informed with emerging literature and science in the modeling and simulation sciences Build and maintain a personal track record of publication in the area of QSP & PBPK Methods Maintain an active relationship with colleagues in Clinical Pharmacology & Pharmacometrics at the project level as well as in the advancement of Pharmacometrics Position requirements: Ph.D. in Statistics, Applied Mathematics, Biomedical/Chemical Engineering, Computer Science, Physics, Computational Biology, or related field M.S. in appropriate field with significantly more experience may be considered 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 Research Investigator level, 0-2 years experience (prior experience within the pharmaceutical industry is not necessary) M.S. in appropriate field with significantly more experience may be considered Excellent understanding of the theory and principles in optimization and global sensitivity analysis including topics such as particle swarm optimization, quadratic programming, variance-based global sensitivity analysis Expertise in virtual population methods or related concepts and strategies for model calibration including applications of importance sampling and Bayesian algorithmic strategies (Markov Chain Monte Carlo, Metropolis Hastings, Sequential Monte Carlo, Likelihood-free methods) Experience in modeling pathophysiology and therapies or related systems biology models with ordinary differential equations Track record of developing scripted toolboxes for MATLAB and/or SimBiology, experience with version control, parallelization methods, experience profiling and optimizing code, and capability of quickly learning additional tools as needed such as R and Julia Experience running code on clusters is preferable, including experience with resources such as MATLAB Parallel Server and/or workload managers such as SLURM or torque Experience working with data integration as well as omics data sources and methods for their treatment is beneficial Ability to learn new areas of quantitative sciences and build on solid foundation of skills to develop new algorithmic strategies Ability to communicate internally and externally on topics related to model application for Clinical Pharmacology and application in context of QSP and PBPK is required Desire to interact as a modeling and simulation expert with matrix project teams working closely with experts from different functional areas (pre-clinical and clinical and multiple therapeutic areas) 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. Physical presence at the BMS worksite or physical presence in the field is an essential job function of this role which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and enhances the Company culture. To protect the safety of our workforce, customers, patients and communities, the policy of the Company requires all employees and workers in the U.S. and Puerto Rico to be fully vaccinated against COVID-19, unless they have received an exception based on an approved request for a medical or religious reasonable accommodation. Therefore, all BMS applicants seeking a role located in the U.S. and Puerto Rico must confirm that they have already received or are willing to receive the full COVID-19 vaccination by their start date as a qualification of the role and condition of employment. This requirement is subject to state and local law restrictions and may not be applicable to employees working in certain jurisdictions such as Montana. 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