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