Computational Chemist

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About Syngene

Job Purpose

Key Responsibilities

• Support the design and optimization of small and large molecules using various structure & ligand-based approaches.
• Implement QSAR/QSPR modeling techniques to predict molecular properties and enhance compound selection.
• Apply cheminformatics approaches to analyze and interpret chemical and biological data.
• Utilize data science techniques, including machine learning, to derive insights from computational chemistry datasets.
• Prepare and submit reports in the relevant format and contribute to design sessions within the team.
• Provide support to the computational tool/workflow development.
  

Educational Qualification

• Master’s degree in Computational Chemistry, Organic Chemistry, Pharmacy, Biotechnology, Life Sciences, or a related field with experience in computational techniques for drug discovery.
  

Technical/Functional Skills

• Strong understanding of computational techniques relevant to drug discovery and material science.
• Experience with modeling tools such as Schrodinger (Maestro, Bioluminate, Materials Science), MOE, ICM, Cresset, KNIME, and Pipeline Pilot.
• Expertise in QSAR/QSPR modeling, cheminformatics, and data science approaches in drug discovery.
• Proficiency in molecular dynamics simulations, quantum chemistry, shape and electrostatic comparison, homology modeling, docking, and pharmacophore modeling.
• Familiarity with high-performance computing environments, Linux-based clusters, and GPU systems.
• Knowledge of Python programming is an advantage.
  

Experience

• 1-2 years of experience in drug discovery, medicinal chemistry, or computational modeling.
• Interest in acquiring knowledge and applying innovative techniques to advance medicinal chemistry and material science projects.
  

Behavioural Skills

• Ability to work in a multidisciplinary team with excellent interpersonal skills.
• Strong analytical and problem-solving skills with a proactive approach to challenges.
• Effective communication and presentation skills to convey complex scientific information clearly.
• Ability to adapt to dynamic project requirements and work independently or collaboratively.
  

Equal Opportunity Employer