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🚀 Internship

DMPK & M PhD Internship - Summer 2024

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Takeda

•

1mo ago

🚀 Summer Internship

Boston

⌛ Closed

AI generated summary

  • The candidate must be a graduate student pursuing a Ph.D. in drug metabolism and pharmacokinetics or related fields, with prior experience in PK modeling and a strong understanding of general pharmacokinetic principles. They should have exceptional communication and analytical skills, be deadline-driven with strong organizational abilities, and possess a global mindset. The candidate should also be currently authorized to work in the United States and available to work full-time during the summer months.
  • The candidate will be responsible for designing and implementing PBPK models for biologics, evaluating drug disposition and tissue exposure, and predicting PK changes in diseased states. They will collaborate with internal and external resources to build a simulations-based platform for quantitative translation and learn to apply PBPK modeling to solve real-world problems.
Applications are closed

Summer Internship

Data, Science•Boston

Description

  • Are you ready to embark on a transformative journey with Takeda? Our paid 10–12-week summer internship program is designed to immerse you in a dynamic learning environment, featuring a blend of developmental and social activities.
  • As a Takeda intern, you'll have the opportunity to contribute to impactful projects that play a crucial role in shaping both our business and the well-being of patients. This experience will not only allow you to apply your technical and business knowledge but also empower you to showcase your analytical strength and creative problem-solving skills.
  • Seize this chance to gain hands-on experience, expand your skill set, and make a meaningful impact on the healthcare industry. We invite you to be a part of our innovative and collaborative team, where your contributions matter.

Requirements

  • Exceptional interpersonal, verbal communication and writing skills.
  • Deadline-driven with an elevated level of organizational and planning skills.
  • Strong quantitative, analytical, problem solving and conceptual skills.
  • Proven record of accomplishment of teamwork, adaptability, innovation, initiative, and integrity.
  • Global mindset to grow in a diverse work environment.
  • Requirements / Qualifications:
  • Graduate student pursuing Ph.D. (with 0+ years industry experience) in good academic standing with a major in drug metabolism and pharmacokinetics, clinical pharmacology, pharmaceutical sciences, bioengineering, biology, mathematics, biochemistry, pharmacology, or related fields
  • Graduate, PhD, MD student with completion of a minimum of one year of university studies.
  • Prior experience in PBPK or other PK based modeling, good understanding of general pharmacokinetic principles and disposition of small molecules and/or biologics
  • Ability to write differential equations for physiological systems
  • Proficient in one or more of the following modeling and simulation software – Matlab and/or Simbiology (preferred), R, Phoenix, Berkley Madonna, ADAPT, Mathematica or other relevant software
  • Exceptional interpersonal, verbal communication and writing skills.
  • Deadline-driven with an elevated level of organizational and planning skills.
  • Strong quantitative, analytical, problem solving and conceptual skills.
  • Proven record of accomplishment of teamwork, adaptability, innovation, initiative, and integrity.
  • Global mindset to grow in a diverse work environment.
  • Currently authorized to work in the United States without sponsorship. Takeda does not provide sponsorship for internship positions.
  • Available to work full-time (40 hours per week), within the core business hours of 8:00am – 5:00pm, for 10-12 weeks during the summer months.
  • Must be enrolled in school the semester following your internship with Takeda.

Education requirements

Currently Studying
PhD

Area of Responsibilities

Data
Science

Responsibilities

  • As an intern in the DMPK & M department, the candidate will be responsible for design and implementation of physiologically based pharmacokinetic (PBPK) models for biologics supporting discovery and development programs and will be involved in communication with multi-functional teams. The project accountabilities include but are not limited to –
  • Develop the basic PBPK framework for preclinical species and humans in Matlab, Phoenix or other relevant software for biologics
  • Apply the models for evaluating the impact of target mediated drug disposition, prediction of tissue exposure to inform safety margins, predict the dynamics and PK changes in diseased state
  • How you will contribute:
  • You will be involved in building a simulations-based platform for these modalities for quantitative translation from preclinical species to humans by collaborating with internal as well as external resources. You will work closely with project teams and other functional group colleagues for the supporting activities. Broadly, you will learn to apply PBPK modeling and simulation to solve real-world problems. Specifically, you will learn how to develop and apply the learnings from physiological modeling for better tissue exposure and dose prediction in preclinical species, extrapolate this information for prediction of human PK and build models to predict PK in diseased state.

Details

Work type

Full time

Work mode

office

Location

Boston