**Job Description**
The Microbiology and Biochemistry group at NREL is seeking a full-time intern specializing in molecular modeling to support ongoing computational biology projects. This position offers an excellent opportunity to gain practical experience and domain knowledge in protein engineering, molecular modeling, and software development while working closely with a collaborative research team.
**Skills & Abilities**
• Experience with molecular modeling techniques, such as molecular dynamics simulations, quantum mechanics, protein structure prediction, and docking.
• Proficiency with at least one or more molecular modeling and visualization tools (e.g., PyMOL, Chimera, VMD).
• Experience with Jupyter notebooks, matplotlib, etc., for data analysis and visualizations.
• Expertise in using protein structure, ligand binding prediction tools (e.g., alphafold2, rosetta, rfdiffusion, boltz, diffdock, autodock).
• Proficiency in at least one molecular dynamics simulation package (CHARMM, AMBER, NAMD).
• Demonstrated experience with coding skills in Python and/or Bash.
• Proficiency and experience with Linux-based operating systems, and/or HPC environments.
• Strong organizational skills, attention to detail, and the ability to work collaboratively in a team environment.
• Experience with advanced molecular modeling techniques and software (Preferred).
• Knowledge of scripting for custom analyses of molecular modeling data (Preferred).
• Experience building/using machine learning models based on protein sequence/structure data or modeling data (Preferred).
• Knowledge of Python programming for software development and machine learning (Preferred).
• Experience developing Python code for machine learning and performing high-throughput molecular dynamics simulations (Highly valued).
**Qualifications**
Required Degree(s) in:
• Computational Biology
• Bioinformatics
• Chemistry
• Computer Science
• Related field
**Experience**
Other:
• Minimum of a 3.0 cumulative grade point average.
• Applicants are responsible for uploading official or unofficial school transcripts.
• If selected for position, a letter of recommendation will be required.
• Must meet educational requirements prior to employment start date.
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