Associate Research Fellow

2 weeks ago

Bothell, Washington, United States Pfizer, S.A. de C.V Full time
Job Title: Associate Research Fellow - Translational Modeling and Simulation

Pfizer, S.A. de C.V is seeking a highly skilled Associate Research Fellow to join our Translational Modeling and Simulation team within the Department of Pharmacokinetics, Dynamics, and Metabolism (PDM). As a core member of multidisciplinary project teams, you will leverage principles and practices of quantitative translational pharmacology (PKPD, PBPK, QSP) to influence decision making from project ideation through early clinical development for both biologic and small molecule modalities.

Key Responsibilities:
  • Work closely with multidisciplinary project teams to develop and implement mechanistic mathematical models of pharmacology to aid in target selection, target prioritization, therapeutic modality selection, chemical/biotherapeutic optimization, quantification of exposure-response relationships, biomarker characterization and early clinical trial design.
  • Manage at least one junior colleague in oncology modeling and simulation.
  • Collaborate with research biology in the development of in-vitro assays and in-vivo models to generate data that inform preclinical-to-clinical translational PKPD models.
  • Provide expert support to project teams to design, execute and interpret quantitative pharmacology studies.
  • Partner with colleagues in Clinical Pharmacology and Pharmacometrics to develop end-to-end alignment in model-informed drug development (MIDD) plans and to collectively advance the science and impact of mechanistic modeling and simulation.
  • Network as appropriate with global experts in the department and other groups to share learnings and enhance consistency in best practices across sites, disease areas, and interventional modalities.
  • Keep up to date with emerging literature in the area of mechanistic modeling and simulation sciences.
  • Continue to build a personal track record of publication in the area of PKPD modeling and simulation and contribute to PDM's external publication/presentation goals consistent with our sustained investments in the area of modeling and simulation.
Requirements:
  • Ph.D. degree or equivalent experience in pharmaceutical sciences, systems pharmacology, pharmacometrics, engineering, mathematics, physics or similar disciplines where modeling and simulation is emphasized.
  • 10+ years of pharmaceutical industry or related experience in developing and applying mechanism based quantitative pharmacology models (e.g. PBPK, PKPD, QSP) to guide project teams from early discovery to early clinical development.
  • Excellent understanding of theory, principles and statistical aspects of advanced mathematical modeling and simulation.
  • Ability to effectively translate/condense/summarize outcomes of modeling and simulation analyses into usable information for multidisciplinary project teams.
  • Good team player and communicator with ability to guide efficient communication of modeling and non-modeling concepts to leadership.
  • Ability to work with on-site and remote colleagues.
  • Good listener and ability to effectively interact with colleagues and leadership with a variety of backgrounds.
  • Keen to interact as a modeling and simulation expert with matrix project teams working closely with within PDM as well as biology, protein engineering, chemistry, safety and clinical scientists.
  • Strong belief that modeling and simulation can have a significant positive impact on research projects.
  • In depth, hands-on knowledge of the state-of-the-art modeling and simulation software with (NONMEM, MATLAB, Monolix, Berkeley-Madonna, R or comparable applications).
  • Ability to learn new areas of biological sciences and build on a solid foundation of quantitative skills to develop mechanistically relevant PKPD models.
  • Ability to keep up to date with and propose the implementation of scientific and technological developments in the area of PKPD modeling and simulation.
  • Motivated to develop a career as a hands-on, technical modeling and simulation expert in a preclinical drug discovery environment.
  • Committed to sharing technical expertise and the development of self and others.
Preferred Qualifications:
  • Experience in working in the oncology disease area with a focus on ADCs.
  • Familiarity with novel biotherapeutic modalities (bispecifics, Fc-fusions and other targeting agents).
  • Familiarity with dispositional and pharmacological aspects of both small molecules and biologics.
  • Prior experience in managing technical experts in modeling and simulation in a pharmaceutical industry setting.
  • Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

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