Associate Scientist (Computational), Process Modeling and Engineering Technology, Drug Product Design ROLE SUMMARY Work as an integral member of the Drug Product Design team, Pfizer Worldwide R&D, to develop computational models that support the design and manufacture of drug products (tablets, capsules, ointments/creams, mutliparticulate beads, etc.). Leverage your skills in simulation, programming, and data analysis to develop predictive models that simulate pharmaceutical manufacturing operations. In this role, you will use scientific/engineering software packages (e.g., DEM, CFD, FEM, etc.) and programming languages such as Matlab, C/C++, Python, Pipeline Pilot, etc. to develop predictive models; and conduct experiments to support your predictions. You should have a strong background in mathematics and understanding of fundamental engineering concepts (e.g., mass, momentum, energy conservation; thermodynamics, etc.). You must also be a competent programmer: experience with numerical methods and high-performance computing environment is preferred. Applicants must have Bachelors or higher degree in Engineering or Sciences, such as Chemical Engineering, Mechanical Engineering, Physics or Engineering Physics, Computer Science, Pharmaceutics, or other related disciplines. This position is based in Groton, CT, USA. RESPONSIBILITIES * Work with Pfizer scientists to develop and apply computational tools to support manufacture of dosage forms (tablets, capsules, multiparticulate 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 Matlab, Python, C/C++, R, etc. Work with Pfizers high-performance computing environment (Linux/Unix based). * Implement computational models 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 flows and pharmaceutical unit operations, and apply knowledge to support advancement of predictive sciences at Pfizer. BASIC QUALIFICATIONS * Bachelors degree in Engineering or Sciences: Chemical Engineering, Mechanical Engineering, Physics or Engineering Physics, Computer Science, Pharmaceutics, or other related disciplines. * Strong background in engineering or physical sciences, and excellent mathematical skills. Must be knowledgeable of fundamental physical concepts such as mass, momentum, and energy conservation, transport phenomenon, thermodynamics, etc. * Must be a competent programmer (in C/C++, Matlab, Python, R, Fortran, or other languages), and be able to write code to numerically solve algebraic/differential equations. * Must have excellent communication skills and capable of working in a collaborative team environment. PREFERRED QUALIFICATIONS * 0-2 years experience, preferably with a focus on computational modeling and simulation, numerical methods, and/or experience in the pharmaceutical, chemical, or consumer-goods industry. * Knowledge of fluid mechanics and/or granular or particulate flows. Experience with discrete element modeling (DEM), computational fluid mechanics (CFD), finite element method (FEM), or other computer-aided engineering modeling methods. Experience with gPROMS, ASPEN, or other systems simulation software is preferred. Familiarity with running simulations in a high-performance-computing environment is desired. Ability to program in other packages/languages such a Pipeline Pilot, gPROMS, and SQL is preferred. Candidate should have the ability to solve linear, non-linear, and differential equations using numerical methods. * Capability and willingness to design, execute (hands-on), analyze and interpret laboratory experimentation. * Strong organizational skills, interpersonal, written, and verbal communication skills. 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. 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 providers 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. Other Job Details: * Last Date to Apply for Job: November 26, 2018 * Eligible for Employee Referral Bonus Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.