Dear AMBER reflector readers,
I apologize as the message is off the topic.
The computational chemistry and molecular modeling group at GSK (Upper
Providence, PA) is looking for a graduate student or an advanced
undergraduate student in computational sciences or computer science to
work on a methodology development project, starting mid-May. This
could be a great opportunity for students who are interested in
developing and applying computational techniques in drug discovery
research. The details of this position can be found via the link below
using requisition number 73379.
http://us.gsk.com/html/career/university-relations-jobsearch.html
For your convenience, the description can found below. Please use the
link to apply, if you are interested.
> Basic qualifications:
• Pursing BS/MS degree currently majoring in computation chemistry,
physics, computer science or related field in a US accredited
institution.
• Parellel programming experience (Shared-Memory or MPI)
• Experience working in unix/linux environment
• Must be eligible to work in the US at the time of, and for the
duration of their employment. Employees will be required to furnish
evidence of US work authorization.
• Must be at least a rising junior undergraduate student (graduation
date of at least 2014).
• Able to work full-time (35-40 hours/week) throughout the 12-week
internship cycle (May-July/August).
> Preferred qualifications:
• PhD candidate specializing in computational chemistry
• Knowledge in medicinal chemistry preferred
• Familiarity with molecular dynamics simulations
• Familiarity with Amber tools, NAMD, VMD a plus
• Familiarity with statistical mechanics, protein electrostatics,
solvent behavior at protein interfaces
> Details:
The Computational Chemistry group at UM/UP, a component of the
Computational and Structural Chemistry (CSC) department in Platform
Technology and Science (PTS), is seeking a graduate or advanced
undergraduate student in computational chemistry or related
disciplines to evaluate and optimize an internally developed
computational method that thermodynamically profiles water binding
near a protein surface.
The internship project will involve identifying bottlenecks in the
current implementation of the code, implementing more efficient
routines to process MD trajectory files, and providing a workflow for
computational chemists to run the code. If time permits the method
will be applied to selected protein targets to probe the role of water
at binding sites and protein interfaces.
The internship is expected to be an opportunity for the graduate
student to participate and present in a cutting edge research
initiative, to build skills applicable to a career in industrial
computational chemistry, and also provide exposure to the challenges
of early pharmaceutical development.
Regards,
--
Guanglei Cui
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Received on Fri Feb 10 2012 - 13:00:02 PST
