CONTACT/APPLY
Thank you for your interest in Chakrabarti Advanced Technology (CAT).
Chakrabarti Advanced Technology (CAT)
1288 Route 73 South, Suite 110
Mt. Laurel, NJ 08054
Ph: (856) 533-1882
Fax: (856) 533-1885
Email: info@pmc-at.com
Apply for a position at CAT
Candidates interested in our open positions listed below may send their updated resumes to recruiter@pmc-group.com
Job opportunities at CAT:
COMPUTATIONAL CHEMIST
Designation:
Computational Structural Biology/Structural Bioinformatics
Background:
PMC Group, an international chemicals and
pharmaceuticals conglomerate headquartered in Mount Laurel , NJ , seeks
an outstanding Computational Chemist for its Advanced Technology
division (CAT). In this division, we conceive, manage, innovate, plan,
direct and implement new computational chemistry algorithms, with a
specific emphasis on software development projects that are central to
modeling and designing enzymes, as well as computational drug discovery.
Applications to enzymatic pharmaceutical synthesis and enzyme agonist
design are of particular interest.
Qualifications and Skills:
Education/experience: MS/PhD in
Theoretical/Computational Chemistry, Biophysics Physics, or related
discipline with 2-3+ years of industrial experience in a pharmaceutical
company.
Duties:
The successful candidate will develop computational
platforms for the design of functional proteins, including physics-based
modeling of active site structure; quantum chemical simulation of
reactive chemistry based on mixed quantum/molecular mechanics
simulations, and computational sampling of protein sequence and
structural space. He/she will borrow from or rewrite high-resolution
structure prediction algorithms from the public domain as needed,
integrating these with in-house algorithms for rapidly searching
sequence space. Ab initio methods will be combined with homology-based
structure prediction as needed. The successful candidate will also apply
developed tools with experimental collaborators, delivering
computationally predicted sequence libraries to molecular biology labs
for experimental testing. We are actively engaged in research
collaborations with top universities, including Princeton , Purdue and
MIT, for this purpose. Based on the results of the in vitro assays, the
computational models will be refined.
Technical skills:
- Programming experience in C/C++, Fortran
- Scripting experience in Perl or Python
- Knowledge of UNIX/Windows - strong skills in UNIX
- Proficiency in protein modeling techniques including
molecular dynamics simulation, free energy calculation, force field
development, and homology modeling- Experience with protein-ligand
docking using Flexx or Glide- Experience with AMBER, GROMACS, CHARMM,
Macromodel is a plus
- Proficiency in homology modeling using programs such as Modeller, SegMod/ENCAD, or Swiss-Model
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