Structural Biology Intern

Job Description

Job Type - Internship (Can be converted to full-time based on performace)

Job Location - Delhi/Vapi

We are seeking a highly skilled and motivated Structural Biologist to join our drug discovery programs. The ideal candidate will have interest in macromolecular structure determination and modeling, with a knowledge on elucidating protein structures, analyzing ligand binding, and driving rational drug design in collaboration with computational and medicinal chemistry teams.

Key Responsibilities

• Perform structure-based design of small molecules and protein therapeutics.

• Analyze protein-ligand interactions to inform medicinal chemistry and improve 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

• 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 is preferred.

• 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:

• MTech/BTech in Structural Biology, Biophysics, Computational Biology or related field.

• Demonstrated knowledge in drug discovery pipelines, especially in target validation and lead optimization.

• Strong Presentation skills, ability to learn new skills

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.