Structural Biologist - PhD

• 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.