2021 Summer Internship DMPK at Takeda – Applications Invited
2021 Summer Internship DMPK at Takeda – Applications Invited. As one of the world’s leading biopharmaceutical companies, Takeda is committed to bringing Better Health and a Brighter Future to people worldwide. We aspire to bring our leadership in translating science into life-changing medicines to the next level, in our core focus areas; oncology, gastroenterology, neuroscience, rare diseases, plasma-derived therapies, and vaccines.
Job ID: R0025023
Location: Boston, Massachusetts
Worker Type: Employee
Worker Sub-Type: Paid Intern (Fixed Term) (Trainee)
Time Type: Full time
As an intern in the DMPK department, the candidate will be responsible for design and implementation of physiologically based pharmacokinetic (PBPK) models for biologics and nanoparticles supporting discovery and development programs and will be involved in communication with multi-functional teams.
DMPK department with Takeda is seeking a desk-based scientist to support rare disease and global oncology discovery and development programs in Takeda by designing and implementing PBPK models for biologics and nanoparticles. The successful candidate will be involved in building a simulation-based platform for these modalities for quantitative translation from preclinical species to humans by collaborating with internal as well as external resources. The successful candidate will work closely with project teams and other functional group colleagues for the supporting activities. Broadly, the intern will learn to apply PBPK modelling and simulation to solve real-world problems. Specifically, the intern will learn how to develop and apply the learnings from physiological modelling 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 special populations e.g. pregnant women.
Develop the basic PBPK framework for preclinical species and humans in Matlab, Phoenix or other relevant software for biologics and nanoparticles
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 special populations e.g. Gestation age dependence of clearance routes
QUALIFICATIONS AND PREFERRED EXPERTISE:
- Graduate student pursuing PhD (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
- Prior experience in PBPK or other PK based modeling, good understanding of general pharmacokinetic principles and disposition of small molecules, biologics and nanoparticles
- Should be able to write differential equations for physiological systems
- Ability to code with one or more of the following modelling and simulation software – Matlab and/or Simbiology (preferred), R, Phoenix, Berkley Madonna, ADAPT, Mathematica or other relevant software
- The successful candidate is expected to demonstrate the following behavioural attributes: good verbal and written communication and teamwork skills, quick learner, highly motivated by scientific challenges and maintains a positive attitude to address them, dedicated, maintains scientific curiosity, asks questions
1. Internship Project Overview
Gene delivery systems are an essential part of the gene therapy of human genetic diseases. Although the viral gene delivery system is the major delivery system at this moment, the non-viral gene delivery system such as physical, chemical and lipid nanoparticle becomes important since the non-viral vector has merit in its low immunogenicity and low-cost reproductivity. This internship program will be focusing on the literature search to seek the potential collaboration opportunity with academia in terms of non-viral gene delivery system (for example; Prof. Langer’s lab at MIT)
2. Desired Majors/Degree For 2021 Summer Internship:
The applicant is preferred to be a PhD candidate in pharmaceutical sciences or biotechnology including gene therapy drug delivery system.
3. Technical Competencies:
Large molecule quantification especially genomic assay (qPCR/ddPCR, RT-qPCR/RT-ddPCR) and in-vitro biochemical assays (e.g., enzymatic activity assay) using ELISA, LBA, fluorescence, and various molecular and cellular biochemical assays
4. Behavioral Competencies:
Must be well organized with excellent interpersonal skills and oral and written communication capabilities for working in a dynamic team environment with a good collaborative mindset.
Intern pay rate ranges are from $18/hour to $45/hour, depending on students level in their undergraduate or graduate program and level professional experience.