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.
- Solid 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.