Position: Scientist - Computational Protein Modeling


Gaithersburg
Permanent
USD110000 - USD130000
Research And Development
PR/550387_1751374033
Position: Scientist - Computational Protein Modeling

A research-driven organization is seeking a scientist with expertise in computational structural biology to join a team focused on protein engineering and membrane systems. This role involves applying advanced modeling and simulation techniques to study and design both soluble and membrane-bound proteins, with the goal of supporting the development of synthetic membrane technologies.

Key Responsibilities

  • Construct and refine molecular models of membrane proteins using structural data to support surface and functional analysis.
  • Investigate protein dynamics and stability within various nanoscale environments, including lipid-based and polymer-based systems.
  • Conduct molecular dynamics simulations (all-atom, coarse-grained, and implicit solvent) of protein-membrane assemblies.
  • Integrate AI-driven modeling with physics-based simulations to uncover mechanistic insights into membrane protein function.
  • Analyze multimeric protein complexes to identify structural hotspots and allosteric interactions.
  • Use normal mode analysis to assess vibrational properties and flexibility of membrane proteins in bilayer contexts.
  • Support experimental efforts by identifying optimal conditions for protein expression and stability.
  • Mentor junior team members, including technicians and associates, as needed.
  • Stay current with scientific literature and emerging technologies relevant to protein modeling and membrane systems.
  • Represent the team at scientific meetings and contribute to publications and intellectual property development.

Required Qualifications

  • Advanced degree (MS or PhD preferred) in a relevant life science or biophysical discipline.
  • At least 2-3 years of experience in a research setting, preferably within industry.
  • Proficiency with molecular modeling tools (e.g., MODELLER, ROBETTA, PyMOL, Chimera, Schrodinger suite).
  • Experience with molecular dynamics software (e.g., GROMACS, NAMD, AMBER, CHARMM).
  • Familiarity with AI-based protein modeling platforms (e.g., AlphaFold, RFdiffusion, ESM-Fold) and high-performance computing environments.
  • Comfortable working in Linux-based systems and with programming or scripting languages

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