Scientist (Computational Chemistry / Materials & Molecular Modeling) Aganitha AI

5.0 - 9.0 years

0 Lacs

hyderabad, telangana

On-site

Join Aganitha and contribute to the discovery of medicines that will impact lives! Aganitha, at the forefront of co-innovation with global clients, is shaping next-generation R&D in diverse industries. As a Scientist at Aganitha, you will leverage cutting-edge advances in computational chemistry, materials science, soft matter physics, AI/ML, and high-performance computing in the Cloud. You will collaborate closely with research leaders at client organizations, drive solutions from concept to launch, and interact with external vendors for experimental validation. **Key Responsibilities** - Perform advanced computational simulations to understand stability and design principles relevant to various hard and soft matter systems - Apply computational methods to materials design for various applications such as semiconductor devices, greenhouse gases capture, and skin care formulations - Conduct molecular modeling studies to investigate self-assembly phenomena and interactions in material formulations - Interpret and structure scientific data for downstream AI/ML modeling of material properties - Develop clear narratives of data-driven analyses and effectively communicate complex domain knowledge to cross-functional teams - Stay up-to-date on emerging technologies and scientific advancements in computational chemistry and materials science **Educational & Research Qualifications** - PhD, post-doctoral research, or equivalent higher studies in Computational Chemistry or Computational Physics applied to Materials Science - Demonstrated research experience in materials science domain - Proficiency in advanced computational chemistry methods **Technical Skills** - Familiarity with computational chemistry packages such as Quantum Espresso, VASP, LAMMPS, GROMACS, or similar - Understanding of the interface of computer technology, high-throughput sciences, and chemistry/materials science **Added Advantages** - Familiarity with AI/ML methods in scientific research - Expertise in computer programming languages - 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 within a cross-functional team environment - Strong interest in breaking down complex problems into manageable tasks,

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