Computational Chemist
Syngene International
- Bangalore, Karnataka
- Permanent
- Full-time
Job Location: Bangalore
Department: Computational & Data SciencesAbout SyngeneIncorporated in 1993, Syngene International Ltd. is an innovation-focused global discovery, development, and manufacturing organization providing integrated scientific services to the pharmaceutical, biotechnology, nutrition, animal health, consumer goods, and specialty chemical industries worldwide. Syngene's clientele includes world leaders such as Bristol-Myers Squibb, Baxter, Amgen, GSK, Merck KGaA, and Herbalife. Its innovative culture is driven by the passion of its 4240-strong team of scientists who work with clients from around the world to solve their scientific problems, improve R&D productivity, speed up time to market, and lower the cost of innovation.Job PurposeTo support drug discovery and material science projects by applying computational modeling, cheminformatics, QSAR/QSPR modeling, and data science techniques.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.
- Master's degree in Computational Chemistry, Organic Chemistry, Pharmacy, Biotechnology, Life Sciences, or a related field with experience in computational techniques for drug discovery.
- 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.
- 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.
- 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.