|Location||Lake Forest, Illinois|
|Date Posted||July 31, 2022|
Associate Research Fellow,
Team Leader, Process Modeling and Engineering Technologies
Formulation and Process Development
The Formulation and Process Development group in Worldwide R&D, Pfizer seeks an Associate Research Fellow (PhD level) team leader to lead a team of engineers, scientists and process modelers:
- Develop and apply new computational models/tools to support the development of advanced process understanding for drug product dosage forms (tablets, capsules, microsphere beads, ointments/creams, oral liquids, etc.).
- Establish Material Assessment laboratory (MAL) testing capability in Lake Forest site and apply state of the art material characterization technologies to APIs and excipients, drug product intermediates, and final drug product dosage forms.
- Lead Drug Product Design teams through late-stage project and co-development milestones including clinical and commercial formulation identification and process selection, biopharm and stability risk assessments, clinical and ICH manufacture, technology transfer to commercial sites, and/or registration activities.
- Develop next generation Science of Scale material characterization approaches using advanced instruments and sensors, computational models, controls and design thinking approaches.
- Advance the use to digital tools, including machine learning and artificial intelligence, to complex data sets to aid in decision making
- Collaborate and actively contribute to the co-development project teams in the formulation and process design of late-stage drug product
The successful candidate, working collaboratively with their team, as well as working individually, will use material characterization, process engineering and simulation techniques to solve industrial research problems related to powder/granular flows, fluid flows, and multiphase flows in pharmaceutical manufacturing. Experience with engineering or pharmaceutical 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.
The successful candidate will lead their team to apply engineering principles to solve complex material property, formulation and process development challenges.
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 along with experience of >10 years in the pharmaceutical or other related industry. Close collaboration with Pfizer project scientists is essential to this role. 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 Lake Forest, IL USA.
The successful applicant will be a member of the global Process Modeling and Engineering Technology (PMET) Network and will support the development and execution of a digital design strategy while leading a highly capable and innovative team to deliver first in class digital solutions that support advancement of Pfizer s Bold Moves. The successful candidate will also be a member of the global Particle Characterization Network and the global Material Assessment Laboratory Network.
- Work with Pfizer scientists to develop understanding of processes used in dosage form manufacture (tablets, capsules, microsphere beads, ointments/creams, etc.) and apply material characterization and computational tools in support of formulation and process design, optimization, and troubleshooting, and dosage form quality attributes.
- Lead a team of computational and process modelers to identify opportunities to use engineering knowledge and computational tools to help solve project challenges. Be able to work in matrix environment supporting a global team of scientists with minimal supervision, to define the problem statement, then develop and execute a modeling work plan to solve the issue. Support Pfizer s key technology platforms: continuous tablet manufacturing, pediatric microspheres, extended-release formulations, topicals (creams, ointments), and liquids, via computational modeling.
- 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, Comsol), statistical techniques, population-balance models (PBM), and first-principles engineering models. Material characterization techniques include (but not necessarily limited to): Pycnometer (true density), Bulk and tapped density, Ring shear tester (powder flow), FT4, Particle size (laser diffraction), Particle imaging (QICPIC), Compaction simulation, microscope, DVS, segregation tester, Powder Rheometer, Turbula mixers, and powder mechanical property testing
- Lead Drug Product Design teams through late-stage project and co-development milestones. Incorporate design thinking into program activities, including clinical and commercial formulation identification and process selection, biopharm and stability risk assessments, clinical and ICH manufacture, technology transfer to commercial sites, and/or registration activities. Communicate and manage technical and business risk to senior management.
- Work with global colleagues /leaders to develop a strategic plan to promote application of material characterization, computational models and digital tools in drug product development workflows.
- Drive the development of state-of-the-art computational modeling and material characterization tools. Summarize, communicate, and/or present results internally and externally at leading scientific conferences and scientific journal publications. Present scientific results to a diverse audience through engaging data analysis and visualizations.
- Work with external partners (e.g., universities, research organizations) and vendors (e.g., software companies) to execute and deliver well-defined modeling or material characterization projects.
- Doctorate degree (PhD / Ph.D.) in Chemical Engineering, Mechanical Engineering, Pharmaceutical Engineering, Physics or Physical Sciences, or related discipline and >10 years research experience in a related industrial/academic setting. Research must be focused on computational modeling applied to granular/powder flows, fluid flows, and/or multiphase flows.
- Experience of >10 years in the pharmaceutical or other related industry and currently working as a team leader is preferred, but optional.
Required: Must have expertise in modeling of powder/granular flows, fluid flows, and/or multiphase flows. Expertise using discrete element modeling (DEM) and/or computational fluid dynamics (CFD) during graduate/professional 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. Ability to learn quickly and apply knowledge to new situations.
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: Python, Matlab, R, C/C++, ssetc.
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.
Desirable: 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 bio-performance.
Should be familiar working in a high-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.
Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.
..... click apply for full job details