Posted to MedZilla on 2/17/2018

Takeda Pharmaceuticals

US-MA, Quantitative System Toxicology Modeling & Simulation Scientist 1702784-MZ


Are you looking for a patient-focused company that will inspire you and support your career? If so, be empowered to take charge of your future at Takeda. Join us as a Quantitative System Toxicology Modeling & Simulation Scientist in our Cambridge office.

Here, everyone matters and you will be a vital contributor to our inspiring, bold mission. As a Quantitative SystemToxicology Modeling & Simulation Scientist working on the DMPK team, you will be empowered to influence molecule development and design and build translational PK/PK, TK,TD and mechanistic models and a typical day will include:


The preclinical translational modeling and simulation group of Takeda Pharmaceuticals in Cambridge MA is seeking a quantitative systems toxicology modeling & simulation scientist to support global drug development by building system pharmacology/toxicology models such as intracellular cell growth signaling, tumor growth kinetic, cardiac ion channel inhibition, myelosuppression, gastrointestinal toxicity, and drug induced liver injury models. The successful candidate will collaborate with nonclinical Drug Safety, Drug Discovery, Translational Medicine, and Clinical Pharmacology to develop mathematical models to understand the targeted biological pathways and exposure-toxicity 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 toxicity models to support project needs. Essential qualifications include in depth understanding of toxicology, cancer biology and numerical methods, as well as hands-on experience with modeling and simulation 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 molecule development.
  • The candidate is expected to design and build translational PK/PD, TK/TD and mechanistic models to understand the mechanism, translatability and impacts of toxicity findings. The candidate will also apply the mathematical models to evaluate potential toxicity mitigation plan.
  • Keep up to date with emerging literature and science in toxicology and mathematical modeling of toxicology


  • PhD in chemical or biomedical engineering, toxicology, pharmaceutical sciences, mathematics, statistics, or equivalent area with at least 3 years of experience in mathematical modeling of biological systems.
  • Demonstrated competency in coding and running modeling and simulation related software with basic knowledge in pharmacokinetics.
  • Publications applying QSP modeling and simulation approaches is a strong plus.
  • Proficiency with systems modeling approaches such as differential equation, logic, stochastic, agent-based, or other advanced mechanistic modeling approaches is essential.
  • 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.


  • 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

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