Chemist Jobs at Syngene| Chemistry Graduates Apply Now
Are you looking for chemist jobs in a leading research-driven organization? Syngene International Ltd is hiring a Computational Chemist in Bangalore to support advanced drug discovery and material science projects. This opportunity is ideal for professionals seeking growth through Syngene careers, where innovation, data science, and computational chemistry come together to solve complex scientific challenges.
About Syngene
Incorporated 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. Syngene’s innovative culture is driven by the passion of its 4240-strong team of scientists who work with clients from around the world to solve scientific problems, improve R&D productivity, speed up time to market, and lower the cost of innovation. A career at Syngene offers exceptional opportunities for professionals seeking Chemist Jobs, long-term growth, and exposure to cutting-edge research through Syngene Jobs and Syngene Careers.
Job Details
- Location: Bangalore, KA, IN, 560099
- Division: Discovery Services
- Designation: Computational Chemist
- 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.
