Structural Biologist

Job Description: • We are seeking a highly skilled and motivated Structural Biologist to join our drug discovery programs. The ideal candidate will bring deep expertise in macromolecular structure determination and modeling, with a focus on 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 inform medicinal chemistry and lead optimization efforts. • Conduct molecular dynamics (MD) simulations and free energy calculations to evaluate complex stability and binding energetics. • Apply structural insights to guide hit-to-lead and lead optimization strategies. • (Preferred) Utilize machine learning models to support binding site prediction or compound prioritization. Required Skills & Experience: • Strong expertise in structural biology techniques, such as crystallography, cryo- EM, or NMR are desirable. • Proficient 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., Schrödinger, AutoDock). • Scripting or programming experience (Python, R, Bash) for workflow automation and structural data analysis. 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. What We Offer: • Work on high-impact, discovery-stage therapeutic programs. • Collaborative and interdisciplinary research environment. • Access to state-of-the-art computational and structural biology platforms.

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