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Sr. Scientist, Translational Modeling and Simulation


Cambridge, MA
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Job Details


The successful applicant will be a part of a translational modeling and simulation team within Pfizer's Medicine Design organization which applies state-of-the-art modeling and simulation methodologies to preclinical programs to enable key drug discovery decisions from early discovery stages through early clinical studies. As a member of Cambridge (US)-based 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 a range of projects in the Cardiovascular and Metabolic Disease; Inflammation and Immunology and Rare Disease areas. Work will primarily be focused on a range of standard and novel therapeutic modalities relevant to small molecules. Implementing translational science, such as empirical and/or model-based inter-system or interspecies scaling of PK-PD, human dose projections and therapeutic index predictions, will be an important task supporting projects transitioning into the clinic. In the earlier phases of drug discovery, development of mechanistic and/or systems pharmacology models is 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 the 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 global nature of project teams and group members, excellent communication skills, a pro-active approach and independence are essential characteristics for the successful applicant.


+ Ph.D. degree or equivalent degree in systems biology, pharmacometrics, pharmaceutical sciences, engineering, mathematics, Physics or similar disciplines where modeling and simulation is emphasized.

+ 0 - 3 years of industrial experience in practical applications of modeling and simulation, including direct discovery project support. In particular, extensive experience in the areas of PK-PD modeling and/or systems pharmacology modeling is required. Knowledge of one of the aforementioned therapeutic areas is desirable, but not required.

+ Strong technical communication skills, ability to work independently and in teams, and attention to detail are essential.

+ Familiarity with the phases of drug discovery and development, with particular emphasis on compound selection and translational research issues.

**Technical Skills**

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

+ In depth, hands-on knowledge of state-of-the-art modeling and simulation software and applications in the area of PKPD modeling and simulation (e.g. 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

+ Good team player and communicator that can work well with geographically distributed teams

+ 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

**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.

**Sunshine Act**

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.

**Other Job Details:**

+ **Last Date to Apply for Job:** May 15, 2018

+ Eligible for Relocation Package: yes

+ Eligible for Employee Referral Bonus: yes

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
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