CONTACT/APPLY

Thank you for your interest in PMC Advanced Technology LLC.

PMC Advanced Technology LLC
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 funding from PMC-AT


Technology companies may apply for funding from PMC-AT by either email Ms. Patti Griggs at pgriggs@pmc-group.com
or through the Gust investment portal at:

https://gust.com/venture-fund/PMC-Advanced-Technology/apply


Apply for a position at PMC-AT


Candidates interested in our open positions listed below may send their updated resumes to recruiter@pmc-group.com

Job opportunities at PMC-AT:

COMPUTATIONAL CHEMIST

Designation:
Computational Structural Biology/Structural Bioinformatics

Background:
PMC Group, Inc, an international chemical company headquartered in Mount Laurel , NJ , seeks an outstanding Computational Chemist for its new Advanced Technology division (PMC-AT). In this division we will 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. Current interest focuses on the redesign of cellulase enzymes for enhanced conversion of biomass into renewable energy. Applications to pharmaceutical synthesis will also be explored.

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