About the role
AI summarisedJoin our interdisciplinary research team at A*STAR, bridging the gap between methodological innovation and real impacts in drug discovery. We are seeking a PhD-level Computational Scientist passionate about integrating Computation, AI/Machine Learning, and Drug Discovery to drive transformative impacts in medicine development.
ResearchOnsiteBioinformatics Institute
Key Responsibilities
- Design and deploy innovative computational approaches, integrating physics-informed, biology-informed, causal, and uncertainty-aware machine learning, to accelerate drug R&D stages like target/biomarker identification and molecular optimization.
- Develop and optimize computational frameworks that integrate diverse data types (chemical, biological, omics, clinical) into cohesive models.
- Collaborate with domain experts in computational biology, cheminformatics, pharmacology, and drug discovery to tailor computational models to real-world problems.
- Publish research findings in leading journals and conferences, and contribute to partnerships and strategic initiatives as opportunities arise.
- Mentor junior team members and contribute to a collaborative, cross-disciplinary research environment.
Requirements
- PhD in Artificial Intelligence/Computer Science, Bioinformatics, Computational Biology, Biomedical Engineering, Applied Mathematics, or Pharmaceutical Sciences (or related field) with a focus on machine learning or computational modeling.
- Strong publication record or demonstrable contributions to open-source tools or reproducible research.
- Demonstrated expertise with AI/ML methodologies and implementations.
- Excellent problem-solving skills, balancing theoretical rigor with practical implementation.