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Computational Chemistry Jobs at Syngene | MSc Candidates Apply at Syngene
Computational Chemistry Jobs. A career as a Computational Chemist at Syngene offers the opportunity to contribute to cutting-edge drug discovery and material science projects using advanced computational modeling, cheminformatics, and data science. This role is ideal for talented scientists eager to apply innovative techniques that accelerate R&D, enhance molecular design, and support global pharmaceutical and biotechnology programs. Interested candidates apply for the exciting opportunity at Syngene Careers.
- Job Title: Computational Chemist
- Date: 26 Nov 2025
- Location: Bangalore, KA, IN, 560099
- Division: Discovery Services
- JOB DESCRIPTION
- Designation: Computational Chemist
- Location: Bangalore
- Department: Computational & Data Sciences
Job Purpose
To support drug discovery and material science projects by applying computational modeling, cheminformatics, QSAR/QSPR modeling, and data science techniques.
Key Responsibilities:
- Apply cheminformatics approaches to analyze and interpret chemical and biological data.
- Implement QSAR/QSPR modeling techniques to predict molecular properties and enhance compound selection.
- Support the design and optimization of small and large molecules using various structure & ligand-based approaches.
- 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:
- Experienced professional with relevant exposure 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.
