Pfizer Biophysics Internship – MSc & PhD Apply Online
Intern – MD simulation
Locations: India – Chennai
Time type: Full time
Posted on: Posted Yesterday
Job Requisition ID: 4936911
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
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