Manager, Process Modeling

Job Location:  Chennai
Job Description:  SkillSet: research, development, equal employment opportunity, computational fluid dynamics, continuous improvement facilitation.

The Global drug-product development team in PCOE (Worldwide RD), Pfizer seeks a Manager (PhD level) to develop new computational tools to support the development of drug-dosage forms (particularly, sterile injectable formulations).
The successful candidate will use simulation techniques to solve industrial research problems related to powder/granular flows, fluid flows, and multiphase flows in pharmaceutical manufacturing. Experience with computational techniques is required, such as: discrete element method (DEM), computational fluid dynamics (CFD), process models and flowsheets, statistical techniques, population-balance models (PBM), and
engineering models. Applicants must have a doctoral (PhD / Ph.D.) degree in Chemical Engineering, Mechanical Engineering, Pharmaceutical Engineering, Physical Sciences, or related discipline with a focus computational modeling. Close collaboration with Pfizer project scientists is essential candidates must have excellent communication skills and
be able to identify opportunities to apply modeling to develop drug products. This full-time position is based in Chennai, India.

The major duties and responsibilities are as below : Work with Pfizer project scientists to understand the challenges and needs when developing drug-dosage forms (sterile injectables.. or tablets, capsules, ointments/creams, multiparticulate beads, etc.). Identify opportunities to use engineering knowledge and computational tools to help solve project challenges. Be able to work independently, with minimal supervision, to define the problem statement, then develop and execute a modeling work plan to solve the issue. Using a variety of computational techniques, develop predictive tools and models to support drug development/manufacturing efforts for the Pfizer portfolio. Modeling techniques include (but not necessarily limited to): discrete element method (DEM), computational fluid dynamics (CFD), process models and flowsheets (e.g., gPROMS, ASPEN), statistical techniques, population-balance models (PBM), and first-principles engineering models. Plan and execute experimental studies in collaboration with experimental experts to support/validate modeling efforts.
Work with Pfizer scientists to apply and implement modeling tools into project workflows. Communicate and present results internally at meetings and, on occasion, at external forums.
Present scientific results to a diverse audience through data analysis and visualizations. Support Pfizer s key technology platforms: continuous sterile injectables manufacturing, tablet manufacturing and multiparticulates, via computational modeling. Work with external partners (e.g., universities, research organizations) and vendors (e.g., software companies) to execute and deliver well-defined modeling projects.

Preferred Experience :
Must have expertise in modeling of powder/granular flows or multiphase flows. Expertise using discrete element modeling (DEM) and/or computational fluid dynamics (CFD) during
graduate/post-graduate research. Proficiency with other modeling techniques applied to granular/multiphase flows will also be considered (such as process modeling and flowsheets,
finite element modeling, population-balance models, multiscale modeling, etc.). Capability and willingness to design, execute (hands-on) laboratory experiments to support modeling efforts.
Must demonstrate good problem-solving skills

Preferred Attributes :
Excellent organizational skills: ability to manage several projects simultaneously and deliver results in a timely manner. Excellent interpersonal skills: work effectively as part of crossfunctional teams and embrace team work. Excellent English written and verbal communication skills: must be able to communicate ideas and results with colleagues with diverse backgrounds. Demonstrated track record of publications, presentations, and/or patents

Relevant experience of 2 - 4 years in the pharmaceutical, chemical, process, or related industry is preferred.
Candidate must be proficient in fundamental engineering/physical concepts such as mass, momentum, and energy transport phenomenon; and a mathematical ability to setup and solve linear, non-linear, and differential equations. Strong programming/coding skills and experience with numerical techniques is required. Proficient in programming using some standard language: C/C, Python, R, Matlab, etc. Experience with pharmaceutical drug manufacturing. Familiarity with pharmaceutical unit operations (blending, granulation, milling, coating, etc.) is desired. Solid scientific understanding of physical processes relevant to pharmaceutical industry, such as powder and fluid rheology, dissolution kinetics, chemical kinetics, as they relate to dosage-form (tablet) design and bioperformance. Must be familiar working in ahigh-performance-computing environment (Linux based). Experience with any of the following software is preferred: EDEM, LIGGGHTS, XPS, CFDEM, ANSYS Fluent, OpenFOAM, STAR-CCM, PSE gPROMS Formulated Products, ASPEN, or other closely-related packages. Knowledge of data analysis and visualization packages (e.g.,
Spotfire or Tableau) is desirable. Strong statistical skills are also preferred.

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

Research and Development #LI-PFE,
Functional Area:  Bio Tech / R&D / Scientist
Experience:  2 - 4 years
Qualification:  ("Communication in Other") OR ("Chemical in Ph.D/Doctorate")
Salary:  4.0 Lakh to 8 Lakh INR
Job Ad publication date: 20 Jan 2021