Job Title

Job Description:• We are seeking a highly skilled and motivated Structural Biologist to join our drugdiscovery programs. The ideal candidate will bring deep expertise inmacromolecular structure determination and modeling, with a focus on elucidatingprotein structures, analyzing ligand binding, and driving rational drug design incollaboration with computational and medicinal chemistry teams.Key Responsibilities:• Analyze protein-ligand interactions to inform medicinal chemistry and leadoptimization efforts.• Conduct molecular dynamics (MD) simulations and free energy calculations toevaluate 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 orcompound 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 interactionmapping.• Hands-on experience with molecular dynamics simulations using tools such asGROMACS, 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 andstructural data analysis.Preferred Qualifications:• Ph.D. in Structural Biology, Biophysics, Computational Biology or related field.• Demonstrated experience in drug discovery pipelines, especially in targetvalidation and lead optimization.• (Preferred) Background in machine learning or AI applied to biomolecular structureor ligand interaction prediction.• Strong publication record or demonstrated project impact in therapeuticdevelopment.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.