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See allAbout the Role:
- This position leverages advanced computational chemistry and AI/ML to accelerate molecular design, property prediction, and drug discovery.
- You will develop and deploy cutting-edge models and molecular simulation workflows for lead discovery and optimization.
What You'll Do:
- Design and deploy AI/ML models such as graph neural networks, transformers, generative models, and Bayesian optimization techniques.
- Apply molecular modeling, molecular dynamics, quantum chemistry, and structure-based modeling across research initiatives.
- Build cheminformatics pipelines, manage molecular datasets, and deploy scalable workflows in cloud and HPC environments.
Who You Are:
- You hold a Ph.D. in computational chemistry, cheminformatics, chemistry, computer science, or a related field with 1-3 years of research experience.
- You have hands-on experience with PyTorch, JAX, and geometric deep learning for molecular applications.
- You are proficient in Python, RDKit, and scientific computing ecosystems, with strong communication and collaboration skills.
Marlabs
Marlabs is a global AI and digital solutions consulting firm delivering intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with large organizations worldwide, fostering an innovative team culture.