Job Information
Bristol Myers Squibb Sr. Research Investigator/Research Investigator, QSP in Princeton, New Jersey
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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.
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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 primarily with immunology, cardiovascular, and/or neuroscience applications. 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.
Responsibilities:
Develop and apply Quantitative Systems Pharmacology (QSP) models to address drug-discovery and development questions.
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.
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.
Partner with external groups to accelerate the internal Systems Pharmacology efforts in key disease areas
Contribute to the design, execution and interpretation of clinical studies.
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
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 oral and written communication skills and the ability to interact effectively with scientists in other disciplines with a positive, collegial and collaborative attitude
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
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.
For California or MA based role , the following applies:
Research Investigator: the starting compensation for this job is a range from $97,000 - $135,000, plus incentive cash and stock opportunities (based on eligibility).
Sr. Research Investigator: the starting compensation for this job is a range from $121,000 - $167,2000, plus incentive cash and stock opportunities (based on eligibility).
The starting pay rate takes into account characteristics of the job, such as required skills and where the job is performed.
Final, individual compensation will be decided based on demonstrated experience.
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit our BMS
Career Site.
Benefit offerings are subject to the terms and conditions of the applicable plans then in effect and may include the following: Medical, pharmacy, dental and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support. Work-life programs include paid national holidays and optional holidays, Global Shutdown days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program.
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If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
On-site Protocol
BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ (https://careers.bms.com/eeo-accessibility) eeo-accessibility to access our complete Equal Employment Opportunity statement.
BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
Company: Bristol-Myers Squibb
Req Number: R1584236
Updated: 2024-09-12 05:37:42.424 UTC
Location: Princeton-NJ
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, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.
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