Research Engineering/ Scientist Assitant - Computational Biology and Protein Modeling
Core
Apply computational methods to protein structure, molecular interactions, and drug discovery problems.
Role type
Research Assistant in Computational Biology and Protein Modeling
Builds
Computational models for protein docking, structure prediction, and molecular interaction analysis
Domain
Computational Biology / Structural Biology / Drug Discovery
Deliverable
production ML models
Required skills
Protein structure and function knowledge, Molecular visualization (PyMOL, ChimeraX), Biological databases, Python scripting, Linux command line, Computational experiment design
Preferred skills
Protein docking, Molecular dynamics, Structural alignment, Virtual screening, High-performance computing, Machine-learning-based structure prediction
Technologies
PyMOL, ChimeraX, BLAST, Foldseek, Protein Data Bank, UniProt, Pfam, InterPro
Responsibilities
Apply protein docking and structure-prediction methods to biologically relevant systems; Prepare protein, peptide, antibody, and small-molecule structures for computational experiments; Run, organize, and analyze large-scale computational studies; Evaluate protein interfaces, binding modes, structural quality, and biological plausibility; Collaborate with machine-learning researchers and experimental collaborators; Prepare figures, structural visualizations, reports, and presentations
