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Principle Process Modeler

Groton, Connecticut
Closing date
Jan 21, 2022

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Pharmaceutical, Supply Chain, Quality Assurance
Full Time
Organization Type
Jobseeker Type
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Why Patients Need You

Pfizer's purpose is to deliver breakthroughs that change patients' lives. Research and Development is at the heart of fulfilling Pfizer's purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best in class medicines to patients around the world.

What You Will Achieve

We are seeking a experienced Chemical Engineer or computational scientist to join Chemical Research and Development (CRD) Process Modeling group in Groton. The successful candidate will play a leading role in the development of CRD strategy on process modeling delivering process modeling applications for efficient process development of active pharmaceutical ingredient (API) candidates in our portfolio.

CRD, as part of Worldwide R&D in Pharmaceutical Sciences, is responsible for the development of process technology for the production of API. CRD scientists engage in all facets of development from small scale synthesis in support of medicinal chemistry programs, to the development of the commercial synthetic route. CRD scientists partner with manufacturing specialists for API synthesis in kilo-lab and pilot plant facilities, as well as provide support for technology transfer to Pfizer manufacturing sites and third party facilities.

The successful candidate will join the process modeling group and develop strategies for first principle and data driven methodologies for CRD workflows and processes. They will partner with a growing ecosystem of computational experts and utilize Pfizer's expanding computational resources to develop and evaluate methodologies that will enable the efficient digital exploration of the chemical and properties space found on small molecule drug development. They will develop strategies supporting the development workflows and methodologies for the efficient application and integration of process modeling techniques. The ability to work on multi-disciplinary teams involving chemists, analysts, engineers, and technologists, and to represent CRD on cross-functional teams is essential.

How You Will Achieve It

  • Develop new tools and utilize current process modeling tools against CRDs needs and work flows, identify gaps.
  • Apply process systems approaches to CRD projects
  • Partner with chemists, analyst chemical engineers from across PharmSci Small Molecule and to identify opportunities for application of process modeling to quantify risk and guide decisions for the development of API manufacturing processes
  • Partner with other members of the process modeling team to build effective modeling workflow ranging from properties prediction (like solubility) all the way to batch or flow holistic process optimization
  • Work with the thermodynamic models for addressing solvent solute interactions
  • Become the expert of the current predictive tools set of applications, review their capabilities identify opportunities and put forward plans for their expansion and development
  • Work with rest of the process modeling group and the engineering group to create and maintain libraries of equipment and unit operation models
  • Work with external partners to develop our growing ecosystem of digital design towards next generation process modeling environment for PSSM
  • Learn and develop modern process modeling methodologies and techniques.
  • Act as a node for the generation of pre-competitive knowledge gathering with industry peers to learn from one another and drive effective collaboration to accelerate our knowledge, understanding and capability.
  • Act as a consultant to project teams for application of process modeling in supporting technology transfer of API processes to internal Pfizer API manufacturing facilities and external suppliers.



  • Bachelor's Degree
  • 12+ years of experience with emphasis on computational methodologies
  • Previous experience in designing and executing computational /process modeling projects in chemical industry
  • Excellent knowledge of chemical engineering principles, process modeling, process control and optimization methodologies including: reaction kinetics, reactor design, chemical thermodynamics, heat and mass transport, engineering statistics, modeling and simulation.
  • Organized, self-motivated, and capable of working independently with minimal supervision as well as in a collaborative environment of dedicated engineers and scientists


  • PhD and4+ years of relevant experience withemphasis in computational methodologies
  • Experience in advanced mathematical modeling, such as creation of custom models relevant to chemical processes, defining mathematical frameworks and validation of process models
  • Excellent knowledge reaction modeling, property prediction, and simulation computational tools including: gPROMs, CFD, Pyomo, AspenOne, Dynochem, Matlab/Simulink, Statistical methods, DOE, GAMS
  • Experience on Parameter estimation / Model development
  • Experience in MD, MM, DFT and other relevant techniques
  • Experience with QSPR, QSAR techniques
  • Experience with DFO (Derivative Free Optimization) and Data Driven Process Modeling
  • Experience of Machine Learning including gaussian processes
  • Working knowledge of Python, Perl, C++ or other program languages
  • Experience with modeling unit operation and continuous manufacturing processes
  • Good foundational understanding of organic chemistry is desirable


Ability to perform complex data analysis.


Will be required to occasionally travel internationally (0-10%) to support technology development and/or clinical manufacturing activities as well as technology transfer to commercial manufacturing. Remote working will be considered
Relocation support available

Pfizer requires all U.S. new hires to be fully vaccinated for COVID-19 prior to the first date of employment. As required by applicable law, Pfizer will consider requests for Reasonable Accommodations.

Sunshine Act

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.

EEO & Employment Eligibility

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.

Research and Development

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