**
A*STAR is seeking an AI Data Scientist for its national program in Artificial Intelligence for Drug Discovery, focusing on utilizing multi-modal data and AI algorithms to enhance drug discovery processes. The ideal candidate will possess a PhD in relevant fields, strong analytical skills, and expertise in small molecule drug discovery and machine learning.
**
Job Summary
This role focuses on utilizing artificial intelligence to bridge the gap between data and advances in small molecule drug discovery.
The successful candidate will design computational analyses linking diverse data modalities to generate actionable hypotheses for drug discovery.
Key responsibilities include building agentic AI workflows that orchestrate multi-step scientific data analytics with human oversight.
Matching Summary
Match Score: 75
**
A*STAR is seeking an AI Data Scientist for its national program in Artificial Intelligence for Drug Discovery, focusing on utilizing multi-modal data and AI algorithms to enhance drug discovery processes. The ideal candidate will possess a PhD in relevant fields, strong analytical skills, and expertise in small molecule drug discovery and machine learning.
**
Skills & Requirements
Must-have
PhD in Computational Biology or related field
Small molecule drug discovery expertise
Python and scientific computing libraries
Agentic AI workflow development
Multi-modal data analysis skills
Nice-to-have
Experience with protein language models
Familiarity with pre-trained foundation models
Genomics and transcriptomics analysis
Collaboration with domain experts
Embedding-based analysis experience
Key Requirements
PhD in Computational Biology, Bioinformatics, or Machine Learning
Strong domain expertise in small molecule drug discovery
Proficiency in Python, NumPy, scikit-learn, and PyTorch