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Job Description
- Contribute hands-on to projects, lead projects, and manage a 3-5 members team of Research Scientists working on computational chemistry, materials science, and AI/ML-based research projects.
- Provide scientific and technical guidance on molecular simulations, machine learning models, and computational workflows.
- Review research methodologies, simulation results, publications, and project deliverables.
- Drive innovation and identify new research directions aligned with company objectives.
- Contribute to the architecture, development, and enhancement of Prescience Products and platforms.
- Plan, execute, and oversee multiple R&D projects simultaneously.
- Ensure timely delivery of customer projects while maintaining scientific quality and rigor.
- Coordinate with customers, academic collaborators, and internal stakeholders.
- Track project progress, resource allocation, and risk mitigation.
- Ph.D. in Computational Chemistry, Materials Science, Chemical Engineering, Computational Physics, or related fields.
- 3-6 years of relevant experience (preferably 1-2 years in industry) in Computational Chemistry, Materials Science, Molecular Modelling, AI/ML, or related scientific domains.
- Prior experience leading research teams, mentoring scientists, or managing technical R&D projects.
- Strong expertise in molecular simulation methods such as Molecular Dynamics, Monte Carlo, Mesoscale Simulations, and related computational techniques.
- Deep understanding of polymers, complex fluids, surfactants, biomolecules, and molecular systems.
- Hands-on experience with molecular modelling and simulation software such as GROMACS, LAMMPS, Quantum Espresso, or similar tools.
- Experience applying Machine Learning and Deep Learning techniques to materials science and molecular modelling problems.
- Strong programming skills in Python, C/C++, and Shell Scripting.
- Experience in reviewing scientific research, simulation methodologies, technical reports, and publications.
- Proven ability to interact with customers, understand scientific requirements, and deliver technical solutions.
- Experience in High-Performance Computing (HPC) environments.
- Ability to plan, execute, and manage multiple projects simultaneously while maintaining high scientific standards.
- Experience in software deployment, installation, troubleshooting, and debugging on Workstations, HPC clusters, and Servers is preferred.
Skills
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