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., Schrdinger,

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.

Structural Biologist