Senior Digital Drug Product Scientist — CFD & Digital Twin

Takeda Pharmaceutical Co.

Lexington (MA)

Hybride

USD 101 000 - 141 000

Plein temps

14 jours+

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Résumé du poste

Takeda Development Center Americas, Inc. is seeking a Digital Drug Product Development Senior Research Associate to design and optimize drug product formulations across the lifecycle.

The role includes developing and transferring scalable manufacturing processes, applying CFD to understand mixing, filtration, and scale-up risks, and building digital twins for mechanistic insight. You will lead in silico studies, use machine learning and data analytics to support formulation strategies, and

Qualifications

  • Requires Master’s degree in Biotechnology or related field or a Bachelor's with 2 years of related experience.
  • Experience with 3D geometric modeling using AutoCAD and SolidWorks.
  • CFD simulation using M Star CFD to model mixing, filtration, hydraulics, and transport phenomena.

Responsabilités

  • Develop robust drug product formulations across the product lifecycle and lead tech transfer to manufacturing.
  • Lead in silico and digital twin initiatives, integrating CFD models with experimental data.
  • Provide technical leadership, author protocols, design experiments, and support regulatory submissions.

Connaissances

CFD modeling
Python
R
Data analytics
Machine learning

Formation

Master's degree in Biotechnology or related field
Bachelor's degree in Biotechnology with 2 years of related experience

Outils

AutoCAD
SolidWorks
M Star CFD
DeltaV

Description du poste

Takeda Development Center Americas, Inc. is seeking a Digital Drug Product Development Senior Research Associate to design and optimize drug product formulations across the lifecycle.

The role includes developing and transferring scalable manufacturing processes, applying CFD to understand mixing, filtration, and scale-up risks, and building digital twins for mechanistic insight. You will lead in silico studies, use machine learning and data analytics to support formulation strategies, and

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