Job Description

 

The drug-product process-modeling team in Worldwide R&D, Pfizer seeks a Senior Scientist (PhD level) to develop new computational models/tools to support the end-to-end development of drug-dosage forms (tablets, capsules, microsphere beads, ointments/creams, oral liquids, etc.). The successful candidate will use modeling and simulation techniques to solve pharmaceutical industrial research problems related to batch and continuous manufacturing with special emphasis on powder flows, mixing, processing and compaction.

Experience with computational techniques is required, such as: FEA stress analysis, process models and statistical techniques, population-balance models (PBM), computational fluid dynamics (CFD) and engineering models. Applicants must have a post-graduate qualification (PhD) degree in Chemical Engineering, Mechanical Engineering, Process Control Engineering, or related discipline with a focus on the modeling of powder/granular compaction using FEA and DEM. 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.

ROLE RESPONSIBILITIES

Work with Pfizer project scientist to understand the challenges and needs when developing drug-dosage forms (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): Finite Element Analysis, discrete element method (DEM), data science & statistical techniques, computational fluid dynamics (CFD), 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 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.

BASIC QUALIFICATIONS

Education/Experience

Post-graduate qualification (PhD) in relevant field e.g. chemical, mechanical, pharmaceutical engineering with focus on process modelling. Strong background in numerical methods, programming, and mathematics. Graduate research must be focused on computational modeling of powder compression, stress analysis and solid mechanics. Proficiency in open source and commercially available FEA simulation software, Python and Matlab programming will be very desirable. Must demonstrate good problem-solving skills.

Excellent organizational skills: ability to manage several projects simultaneously and deliver results in a timely manner. Excellent interpersonal skills: work effectively as part of cross functional teams and embrace teamwork. Excellent 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.

PREFERRED QUALIFICATIONS

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. Must be familiar working in a high-performance-computing environment (Linux based). Experience with any of the following software is preferred: ABAQUS, , ANSYS, OpenFOAM, STAR-CCM+, other closely related packages. Knowledge of data analysis and visualization packages (e.g., Spotfire or Tableau) is desirable. Strong statistical skills are also preferred.

   Relocation support available
Work Location Assignment: On Premise

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

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Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer.