Posted to MedZilla on 11/12/2019

Takeda Pharmaceuticals

US-MA, Quantitative Safety Pharmacology Modeler R0011047-MZ


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Job Description

Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as a Quantitative Safety Pharmacology Modeler in our Quantitative Solutions team in our Cambridge, MA office.

At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company. To do this, we empower our people to realize their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.

Here, you will be a vital contributor to our inspiring, bold mission.


The quantitative translational science department of Takeda Pharmaceuticals in Cambridge MA is seeking a quantitative safety pharmacology modeler to support global drug development by building system safety pharmacology/toxicology models such as cardiac ion channel inhibition, myelosuppression, gastrointestinal toxicity, cytokine release syndrome and drug induced liver injury models. The successful candidate will collaborate with nonclinical drug safety, drug discovery, drug metabolism, and clinical pharmacology to develop mathematical models to understand the targeted biological pathways and exposure-safety relationship of novel therapeutic agents. The candidate will also be responsible for implementing the right modeling & simulation strategy to assist with lead optimization, establish TK/TD relationships and create mechanistic safety pharmacology models to support project needs. Essential qualifications include in depth understanding of safety pharmacology, particularly in immunology and cardiovascular biology, and numerical methods, as well as hands-on experience with modeling software, and ability to clearly present modeling and simulation findings.


  • This is an exciting opportunity at the interface between nonclinical drug safety, drug metabolism and pharmacokinetics, clinical pharmacology and translational medicine to influence drug development.
  • The candidate is expected to design and build translational TK/TD and mechanistic models or platforms to understand the mechanism, translatability and impacts of safety pharmacology/toxicity findings (both from in vivo and in vitro studies).
  • The candidate will also apply mathematical models to evaluate potential safety risks and mitigation plan.


  • Ph.D/Pharm.D/M.D with training in chemical or biomedical engineering, toxicology, pharmaceutical sciences, mathematics, statistics, or equivalent area with at least 4 years of industry experience in mathematical modeling of biological systems. Job title is flexible based on experience.
  • Strong competency in coding and running modeling and simulation related software such as Matlab, NONMEM, Phoenix Winnonlin and R is required.
  • Publication(s) applying modeling and simulation approaches to immunology and cardiovascular physiology is preferred.
  • Proficiency with systems modeling approaches such as differential equation, logic, stochastic, agent-based, or other advanced mechanistic modeling approaches is essential.
  • Demonstrated ability for critical thinking and strong analytical skills to evaluate complex information to identify key scientific questions related to projects.
  • Ability to prioritize and manage multiple projects while meeting project deadlines.


  • 401(k) with company match and Annual Retirement Contribution Plan
  • Tuition reimbursement Company match of charitable contributions
  • Health & Wellness programs including onsite flu shots and health screenings
  • Generous time off for vacation and the option to purchase additional vacation days
  • Community Outreach Programs

Empowering Our People to Shine

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Cambridge, MA

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Full time

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