We are
seeking a Computational Medicinal Chemist to support drug discovery programs.
The candidate will focus on in silico design, optimization, and evaluation of
small molecules, integrating insights from structural biology and
bioinformatics to accelerate lead identification and optimization.

Key
Responsibilities:

• 
  Apply RDKit for cheminformatics
  and use ADMET prediction tools to guide compound selection.
• 
  Analyze SAR (structure-activity
  relationships) and prioritize compounds using QSAR/QSPR modeling.
• 
  Design and optimize small
  molecules using computational approaches.
• 
  Collaborate with structural
  biologists and bioinformaticians to interpret protein-ligand interactions.
• 
  Develop and maintain
  computational pipelines and workflows for drug discovery projects.

Qualifications:

• 
  Master’s or Ph.D. in
  Computational Chemistry, Medicinal Chemistry, organic chemistry or a
  related field.
• 
  2–5 years of experience in
  computational medicinal or organic chemistry for drug discovery.
• 
  Skills in molecular modelling
  software docking, and virtual screening.

Preferred
Skills:

Knowledge of
cheminformatics, drug-likeness, and ADMET prediction. Experience in
multi-disciplinary computational drug discovery projects. Experience with
ML/AI-assisted drug design.