Deskripsi Pekerjaan
The Agency for Science, Technology and Research (A*STAR) is seeking a highly motivated and talented Scientist, Drug Discovery to join our pioneering research team in Singapore. In this role, you will leverage cutting-edge computational approaches and artificial intelligence (AI/ML) to accelerate the drug discovery process and unlock new therapeutic potentials.
As part of our world-class research ecosystem, you will collaborate with multidisciplinary teams of biologists, chemists, and data scientists to build state-of-the-art predictive models, design novel small molecules, and optimize lead compounds. This is an exceptional opportunity for a PhD graduate passionate about applying machine learning to solve complex biological questions and drive impactful scientific breakthroughs.
We offer a highly collaborative environment, state-of-the-art computational infrastructure, and the opportunity to make a real-world impact on global health and medicine.
Tanggung Jawab
- Develop, train, and deploy advanced machine learning and deep learning models to predict molecular properties and optimize drug candidates.
- Collaborate with experimental chemists and biologists to design and execute computational workflows for target identification and lead optimization.
- Analyze large-scale chemical, biological, and genomic datasets to extract actionable insights for drug discovery projects.
- Implement state-of-the-art algorithms in cheminformatics, molecular docking, and molecular dynamics simulations.
- Publish research findings in high-impact scientific journals and present results at international conferences.
- Contribute to grant proposals and maintain up-to-date knowledge of industry trends in AI-driven drug discovery.
Kualifikasi
- Ph.D. in Computer Science, Bioinformatics, Computational Chemistry, Biomedical Engineering, or a related quantitative field.
- Strong background in artificial intelligence (AI), machine learning (ML), and deep learning architectures (e.g., GNNs, Transformers).
- Proficiency in programming languages such as Python or R, and deep learning frameworks (PyTorch, TensorFlow).
- Experience with cheminformatics toolkits (e.g., RDKit) and molecular modeling software.
- Proven track record of scientific excellence, demonstrated by peer-reviewed publications.
- Excellent communication and collaborative skills to work effectively in a multidisciplinary team.
- Strong problem-solving mindset and adaptability to fast-paced research environments.