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Director, Mechanistic Pharmacometrics, Quantitative Clinical Pharmacology
Director, Mechanistic Pharmacometrics, Quantitative Clinical Pharmacology-April 2024
Cambridge
Apr 1, 2026
About Director, Mechanistic Pharmacometrics, Quantitative Clinical Pharmacology

  By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge.

  Job Description

  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 Director, Mechanistic Pharmacometrics, Quantitative Clinical Pharmacology 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

  OBJECTIVES:

  Takeda is a global, values-based, R&D-driven, top 10 biopharmaceutical leader committed to discover and deliver life-transforming treatments, guided by our commitment to patients, our people and the planet.

  Our Data Sciences Institute (DSI) is made up of more than 250 quantitative scientists who harness the insight of data and digital to speed the development of highly innovative treatments to patients. These scientists (from statistics, programming, outcomes research and epidemiology, quantitative clinical pharmacology, digital strategy, library sciences and data architecture/governance) bring their expertise to our global program teams and re-imagine our disciplines. They work with novel data streams, including real-world data and digital tools, and apply advanced analytics including artificial intelligence and automation.

  As part of DSI, the Quantitative Clinical Pharmacology Team at Takeda is looking to add individuals to our team that are team oriented, collaborative and have a strong understanding of mechanistic PK-PD and Pharmacometrics and its application in early clinical development for dose and trial optimization through to proof of concept (POC).

  ACCOUNTABILITIES:

  Lead and deliver the mechanistic pharmacometric strategy for early clinical assets, linking pharmacokinetics to receptor-occupancy, target engagement, other biomarkers, safety and where feasible efficacy using a mechanistic framework for numerous assets across the Takeda disease areas early in clinical development.

  Work closely with DMPK&M on the translational phase from pre-clinic to human and ensure that the modelling activities are a continuum into the clinic on transition, as appropriate.

  Working closely with DMPK&M on the application of QSP models to gain insight into clinical assets as well as on back-translation activities (from clinic to discovery) to support early translational evaluation.

  Act as a cross functional leader and influential execution and delivery decision maker that has direct impact on assets and functions

  Proactively create and implement delivery strategies to enable predictable and seamless delivery of projects

  Be the execution and delivery leader both within global project teams and functions as well as external with vendors

  Drive for and implement process efficiency and improvements using learnings and events from across programs

  EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS:

  Education

  Applicant for this position should have a Ph.D degree or M.S. degree in biological sciences, pharmacy, mathematic with demonstrated experience in mechanistic PK-PD within a pharmacometrics environment

  Experience

  PhD with 8+ years experience

  MS with 12+ years experience

  Apply strong understanding of business

  Enhance capabilities of others

  Communicate with impact and influence

  Location and Salary Information:

  This position is currently classified as “remote” in accordance with Takeda’s Hybrid and Remote Work policy.

  Base Salary Range: $165,200 to $283,200, based on candidate professional experience level. Employees may also be eligible for Short Term and Long-Term Incentive benefits as well. Employees are eligible to participate in Medical, Dental, Vision, Life Insurance, 401(k), Charitable Contribution Match, Holidays, Personal Days & Vacation, Tuition Reimbursement Program and Paid Volunteer Time Off.

  WHAT TAKEDA CAN OFFER YOU:

  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

  Learn more at takedajobs.com .

  No Phone Calls or Recruiters Please.

  #LI-JV2

  EEO Statement

  Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

  Locations

  Cambridge, MA

  Worker Type

  Employee

  Worker Sub-Type

  Regular

  Time Type

  Full time

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