Structural Biologist

Role Overview: You will be joining our drug discovery programs as a skilled Structural Biologist, where your primary focus will be on macromolecular structure determination and modeling. Your expertise will be crucial in elucidating protein structures, analyzing ligand binding, and driving rational drug design in collaboration with computational and medicinal chemistry teams. Key Responsibilities: - Analyze protein-ligand interactions to support medicinal chemistry and lead optimization efforts. - Conduct molecular dynamics (MD) simulations and free energy calculations to assess complex stability and binding energetics. - Utilize structural insights to direct hit-to-lead and lead optimization strategies. - (Preferred) Employ machine learning models for binding site prediction or compound prioritization. Qualification Required: - Strong expertise in structural biology techniques, such as crystallography, cryo-EM, or NMR are desirable. - Proficiency in macromolecular modeling and structure refinement tools (e.g., Phenix, Coot, Chimera, PyMOL). - Experience with protein-ligand docking, structure validation, and interaction mapping. - Hands-on experience with molecular dynamics simulations using tools such as GROMACS, AMBER, NAMD, or CHARMM. - Familiarity with structure-based drug design platforms (e.g., Schrdinger, AutoDock). - Proficient in scripting or programming (Python, R, Bash) for workflow automation and structural data analysis. Additional Company Details: You will have the opportunity to work on high-impact, discovery-stage therapeutic programs in a collaborative and interdisciplinary research environment. You will also have access to state-of-the-art computational and structural biology platforms. Preferred Qualifications: - Ph.D. in Structural Biology, Biophysics, Computational Biology, or related field. - Demonstrated experience in drug discovery pipelines, especially in target validation and lead optimization. - (Preferred) Background in machine learning or AI applied to biomolecular structure or ligand interaction prediction. - Strong publication record or demonstrated project impact in therapeutic development.,