Research Engineering/ Scientist Assitant - Computational Biology and Protein Modeling

The selected candidate will work on the biological application, evaluation, and interpretation of our computational models. Depending on experience and project needs, responsibilities may include:Research Applying protein docking and structure-prediction methods to biologically relevant systemsPreparing protein, peptide, antibody, and small-molecule structures for computational experimentsRunning, organizing, and analyzing large-scale computational studiesComparing predictions produced by different docking and structure-prediction toolsEvaluating protein interfaces, binding modes, structural quality, and biological plausibilityWorking with structural and biological databases such as the Protein Data Bank, UniProt, Pfam, InterPro, and related resourcesUsing tools such as PyMOL, ChimeraX, BLAST, Foldseek, and molecular modeling or docking softwareDesigning computational experiments and selecting appropriate controls, benchmarks, and evaluation metricsInterpreting computational results in the context of known biochemical and experimental dataResearch documentation and communicationPreparing figures, structural visualizations, reports, and presentationsResearch coordination and collaborationCollaborating with machine-learning researchers to identify model limitations and guide further developmentWorking with experimental collaborators to propose testable hypotheses and prioritize computational predictions for validation