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Intern -MD simulation

0 years

0 Lacs

Chennai Tamil Nadu India

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

simulation deconvolution duration research design support collaboration development software matlab ansys python regression analysis simulations engineering kinetics thermodynamics programming data learning

Work Mode

On-site

Job Type

Full Time

Job Description

Role Summary Chemical Kinetic modeling, Understanding mass transport in biological systems. Complete understanding and hands on experiences on using different tools for convolution and deconvolution. Duration: 6 to 12 months Role Responsibilities Collaborates with the research team to design, implement, validate or refine kinetic models. Performs modeling in support of and in collaboration with formulation and analytical development team. Participates in conduct of laboratory experiments where necessary to delineate reaction mechanisms. Selects and applies appropriate kinetic models to represent reaction systems. Uses appropriate software programs (MATLAB, Ansys ChemKin, Python or others as needed) to perform regression analysis and predictive simulations using kinetic models. Qualifications BASIC QUALIFICATIONS M.Sc or Ph.D in physical chemistry, organic chemistry, Biophysics or chemical engineering Preferred Qualifications Postdoc fellowship with experiences in anyone following area, Experience in studying the mechanism of degradation of small molecules or proteins in solution phase. Experience in kinetic modelling and deconvolution of reaction mechanisms Experience in studying mass transport phenomenon in chemical or biological systems. Ability to adopt reaction models to human biological systems Other Information Internship Expectations Good team player and interested apply skills in pharmaceutical development. Strong foundation in chemical kinetics, thermodynamics, and reaction mechanisms to organic chemicals or biomolecules Strong background in calculus & programming tools Internship Outcomes Develop solutions to commonly faced challenges in pharmaceutical product development. Understand application of predictive methods and data mining/machine learning tools in pharmaceutical systems Work Location Assignment: Hybrid Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Support Services Show more Show less

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www.pfizer.com

Pharmaceutical Manufacturing

New York New York

10001 Employees

188 Jobs

    Key People

  • Albert Bourla

    Chairman and CEO

  • Angela Hwang

    Group President, Worldwide Vaccines

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