Associate Scientist (Computational), Process Modeling and Engineering Technology, Drug Product Design
ROLE RESPONSIBILITIES
- Work with Pfizer scientists to develop and apply computational tools to support manufacture of dosage forms (tablets, capsules, microsphere beads, ointments/creams, etc.).
- Learn and apply a variety of modeling tools and techniques related to modeling powder flows and fluid flows. Techniques include: discrete element modeling (DEM), computational fluid dynamics (CFD), finite element method (FEM), engineering models, CAD/CAE, statistical models, etc.
- Programming support to implement numerical models, post-processing, data analysis, and data visualization. Programming languages include Python, C/C++, Matlab, R, Spotfire (for visualization), etc. Work with Pfizer’s high-performance computing environment (Linux/Unix based).
- Implement computational models using web-based approaches into Pfizer workflows. Work with project scientists to generate and utilize modeling predictions for their projects.
- Communicate and present results internally at meetings and, on occasion, at external forums.
- Build a strong understanding of granular, fluid, and multiphase flows and pharmaceutical unit operations, and apply knowledge to support advancement of predictive sciences at Pfizer.
BASIC QUALIFICATIONS
- Minimum of Bachelors degree in Engineering or Sciences, such as Chemical Engineering, Mechanical Engineering, Physics or Engineering Physics, Computer Science, Pharmaceutics, or other related disciplines.
- High competence in programming to implement numerical models, post-processing, data analysis, and data visualization. Programming languages include Matlab, Python, C/C++, R, etc. Experience with a high-performance computing environment (Linux/Unix based cluster).
- Strong understanding of engineering fundamentals applicable to pharmaceutical applications. Understanding of fluid mechanics, mass, momentum, and energy transfer (based on coursework and/or research); knowledge of granular and multiphase flows preferred. Ability to convert real problems to a system of equations, then compute solutions.
- Exposure to one or more modeling tools and techniques related to modeling powder flows and fluid flows. Techniques include: discrete element modeling (DEM), computational fluid dynamics (CFD), finite element method (FEM), process modeling (e.g., gPROMS, Aspen, Comsol), engineering models, CAD/CAE, statistical models, etc.
- Excellent communication skills to present results internally at meetings and, on occasion, at external forums.
- Ability to work in a collaborative environment with Pfizer scientists to develop and apply computational tools to support manufacture of pharmaceutical dosage products (tablets, capsules, microsphere beads, ointments/creams, etc.).
PREFERRED QUALIFICATIONS
- Familiarity or knowledge of pharmaceutical unit operations (e.g., powder blending, granulation, compression, coating, sprays, emulsification) preferred but not essential.
- Research project or professional experience with modeling tools and techniques related to modeling powder flows and fluid flows. Techniques can include: discrete element modeling (DEM), computational fluid dynamics (CFD), finite element method (FEM), process modeling (e.g., gPROMS, Aspen, Comsol), engineering models, CAD/CAE, statistical models, etc.
- Strong understanding of granular flows and multiphase flows, either through research or advanced coursework.