Posted to MedZilla on 3/25/2017

Takeda Pharmaceuticals

US-MA, Senior Scientist I, DMPK 1602184-MZ


More than 30,000 Takeda employees working in more than 70 countries are committed to improving quality of life for patients, who remain at the center of everything we do. As a global, research and development-driven pharmaceutical company, Takeda Pharmaceutical Company Limited conducts R&D both internally and with external partners to translate science into life-changing medicines. Takeda focuses on the core therapeutic areas of oncology, gastroenterology and central nervous system, plus vaccines. Novel products, especially in oncology and gastroenterology, as well as our presence in Emerging Markets, fuel our growth.
While Takeda is enjoying tremendous growth as an emerging global leader in the pharmaceutical industry, we remain ever mindful of our commitment to serve people worldwide by striving toward better health through leading innovation in medicine. In short, we are a passionate team doing important work that impacts patients lives. If you are driven to create better health and a brighter future, join us!


The successful candidate will be based in the Drug Metabolism and Pharmacokinetics (DMPK) Department of Takeda Pharmaceuticals in Cambridge, MA and collaborates with Cancer Pharmacology, Chemistry, Translational Medicine, and Clinical Pharmacology to developing mathematical models to understand the biological pathways and exposure-response relationship of novel antineoplastic agents. The successful candidate is expected to implement the right modeling & simulation strategy to assist with lead optimization, establish PK/PD relationships and create mechanistic mathematical models to support project needs. Essential qualifications include in depth understanding of cancer biology and numerical methods, hands-on experience with modeling and simulation software, and ability to clearly present modeling and simulation findings.


  • To design and build translational PK/PD, TK/TD and mechanistic models to support novel antineoplastic agents discovery and development.
  • Keep up to date with emerging literature and science in cancer biology and mathematical modeling of cancer biology



  • PhD in pharmacy, mathematics, statistics, systems pharmacology, biology or equivalent area of focus with relevant experience in mathematical modeling of biological systems.
  • Demonstrated competency in coding and running modeling and simulation related software (e.g. R, SimBiology, MATLAB, Phoenix WINNONLIN, ADAPT or NONMEM.) with basic knowledge in pharmacokinetics.
  • Publication in relevant journals is a strong plus.
  • Excellent written and oral communication skills to effectively communicate complex research findings and recommendations, and seek to excel in a multi-disciplinary team environment.
  • Ability for critical thinking and strong analytical skills to evaluate complex information for the identification of key scientific findings related to projects.
  • Ability to prioritize and manage multiple projects and activities while meeting project deadlines.

we are driven to improve people's lives

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