The successful applicant will be a part of an exceptional translational modeling and simulation team within Pharmacokinetics, Dynamics and Metabolism (PDM) of Medicine Design which applies state-of-the-art modeling and simulation methodologies to preclinical programs to enable drug discovery decisions from early discovery stages to first-in-human studies. As a member of global multidisciplinary project teams, the candidate will develop and implement quantitative mechanism-based PK-PD models which impact decisions regarding therapeutic modality selection, biomarker characterization, chemical optimization, translational strategies and early clinical trial design.
The successful applicant will have an opportunity to support multiple projects primarily in the oncology therapeutic area, covering small molecules and novel modalities. Implementing translational science, such as empirical and/or model-based interspecies scaling of PK-PD and making human dose projections, will be an important task supporting projects transitioning into the clinic. In the earlier phases of drug discovery, development of mechanistic pharmacology models will be an essential responsibility for guiding discovery teams to select appropriate compounds and molecular targets.
In addition to portfolio support, the successful applicant will aid biologists and experimentalists in implementing emerging methodologies and technologies with respect to the design, execution and interpretation of in vitro and in vivo pharmacology studies.The successful applicant will have the opportunity to work with multiple stakeholders outside of the modeling and simulation discipline. He/she is also expected to network with global modelers in Translational Modeling and Simulation as well as other groups (Clinical Pharmacology, Pharmacometrics) to share knowledge, work on collaborative projects and enhance consistency in best practices across sites, disease areas, and therapeutic approaches.
The individual is expected to keep up to date with emerging literature and science in modeling and simulation sciences and will have opportunities to present scientific results both internally and externally through conference presentations and publications. Given the multi-disciplinary nature of project teams, excellent communication skills are an essential characteristic for the successful applicant.
Ph.D. degree or equivalent degree in pharmacometrics, pharmaceutical sciences, engineering, mathematics, systems biology or similar disciplines where modeling and simulation is emphasized.
4+ years of industrial experience in practical applications of modeling and simulation is required
Knowledge of oncology is useful
Good communication skills, the ability to work independently and in teams, and attention to detail are essential.
Technical Skills Required
Excellent understanding of theory, principles and statistical aspects of advanced mathematical modeling and simulation
In depth, hands-on knowledge of modeling and simulation software and applications in the area of PKPD modeling and simulation (NONMEM, MatLab, Phoenix, Berkeley-Madonna, SAAM II, ADAPT, ACSL, S-plus, R or comparable applications)
Thorough understanding of the basic principles of pharmacokinetics (non-compartmental, compartmental, PBPK)
Ability to learn new areas of biological sciences and build on solid foundation of quantitative skills to develop mechanistically-relevant PK-PD models
Ability to translate/condense/summarize outcomes of modeling and simulation analyses into information that can be used by project teams
Ability to keep up-to-date with and propose the implementation of scientific and technological developments in the area of PK-PD modeling and simulation
Able to work in a small team with minimal technical supervision (self-starter)
Good listener and ability to effectively interact with colleagues with a variety of backgrounds
Motivated to develop a career as a hands-on, technical modeling and simulation expert in a preclinical drug discovery environment
Keen to interact as a modeling and simulation expert with matrix project teams working closely with PDM, Biology and Clinical scientists
Strong belief that modeling and simulation can have a significant positive impact on research projects
Committed to the development of self and others
Motivated to share technical expertise with others
Ability to perform mathematical calculations and complex data analysis is required. Additional technical requirements are listed in the qualifications.
Occasional travel to other Pfizer sites or national/international conferences as needed.
Other Job Details
Eligible for Relocation Package
Eligible for Employee Referral Bonus
EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer.
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.
Internal Number: 4709410
Pfizer is a leading research-based biopharmaceutical company. We apply science and our global resources to deliver innovative therapies that extend and significantly improve lives. We make medicines and vaccines that help people when they are sick and prevent them from getting sick in the first place, as well as some of the world’s best-known consumer healthcare brands. Every day, our colleagues work in developed and emerging markets to treat, cure and eradicate life-threatening conditions and challenge some of the most feared diseases of our time. Pfizer also collaborates with healthcare providers, governments and local communities to support and expand access to reliable, affordable healthcare around the world. For more than 150 years, Pfizer has worked to make a difference for all who rely on us. To learn more, visit www.pfizer.com. For additional information on our guidelines, please visit http://www.pfizer.com/community-guidelines