Scientist (Computational Chemistry / Materials & Molecular Modeling)

Join Aganitha and contribute to the discovery of impactful medicines! Aganitha is a pioneer in co-innovating with global clients using cutting-edge technologies like computational chemistry, materials science, AI/ML, and high-performance computing. As a Scientist at Aganitha, you will collaborate with research leaders to design innovative solutions for various industries, including Biopharma, consumer brands, and materials design. **Key Responsibilities:** - Perform advanced computational simulations to understand stability and design principles of various systems. - Apply computational methods to materials design for semiconductor devices, greenhouse gas capture, skin and body care formulations, and more. - Conduct molecular modeling studies to investigate self-assembly phenomena and interactions in materials. - Interpret simulation results and structure scientific data for AI/ML modeling. - Stay updated on emerging technologies and research opportunities in computational chemistry and materials science. **Educational & Research Qualifications:** - PhD or equivalent in Computational Chemistry or Computational Physics. - Research experience in materials science domains such as materials design, crystal structure prediction, self-assembly phenomena, and interactions in material formulations. - Proficiency in advanced computational chemistry methods. **Technical Skills:** - Familiarity with computational chemistry packages like Quantum Espresso, VASP, GROMACS, etc. - Understanding of computer technology, high-throughput sciences, and chemistry/materials science interfaces. **Added Advantages:** - Knowledge of AI/ML methods in scientific research. - Proficiency in programming languages like Python, C++, Fortran. - Exposure to High-Performance Computing environments. **Soft Skills:** - Excellent verbal and written communication skills. - Ability to distill complex scientific concepts for diverse audiences. - Collaborative attitude in cross-functional teams. - Strong interest in tackling novel challenges and working in a fast-paced environment.,