Computational Chemist Specialist

5 days ago


Bengaluru, Karnataka, India beBeeComputational Full time ₹ 15,00,000 - ₹ 20,00,000

Embark on a challenging role as a Computational Scientist and contribute to pioneering projects in drug discovery and material science.

","Key Responsibilities
  1. Design and optimize small and large molecules using structure & ligand-based approaches, driving innovation in computational modeling.
  2. Develop and implement QSAR/QSPR models to predict molecular properties, enhancing compound selection for breakthrough discoveries.
  3. Apply cheminformatics techniques to analyze and interpret complex chemical and biological data, uncovering hidden patterns and insights.
  4. Harness data science methodologies, including machine learning, to derive actionable insights from computational chemistry datasets, fueling informed decision-making.
  5. Prepare and submit comprehensive reports in the relevant format, effectively communicating results to stakeholders and contributing to design sessions within the team.
  6. Support the development of computational tools and workflows, streamlining processes and ensuring seamless integration with existing systems.

Meet the challenges of this dynamic role by bringing expertise in computational techniques relevant to drug discovery and material science. Possess experience with modeling tools such as Schrodinger, MOE, ICM, Cresset, KNIME, and Pipeline Pilot, among others. Leverage strong analytical skills, combined with proficiency in molecular dynamics simulations, quantum chemistry, shape and electrostatic comparison, homology modeling, docking, and pharmacophore modeling.

","Requirements
  • Possess a Master's degree in Computational Chemistry, Organic Chemistry, Pharmacy, Biotechnology, Life Sciences, or a related field, complemented by experience in computational techniques for drug discovery.
  • Demonstrate expertise in QSAR/QSPR modeling, cheminformatics, and data science approaches in drug discovery, with a strong understanding of computational techniques relevant to drug discovery and material science.
  • Display proficiency in high-performance computing environments, Linux-based clusters, and GPU systems, along with knowledge of Python programming.
  • Exhibit excellent interpersonal and communication skills, enabling effective collaboration and clear conveyance of complex scientific information.
  • Demonstrate ability to work independently and collaboratively, adapting to dynamic project requirements and priorities.
"],

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