Not specified (assumed to be hybrid based on typical research environments).
Phd in computational biology or related field
Small molecule drug discovery expertise
Python and scientific computing libraries
A*STAR is seeking a motivated AI Data Scientist to contribute to the Artificial Intelligence in Drug Discovery (AIDD) initiative in Singapore. The role focuses on leveraging multi-modal data and AI algorithms to advance small molecule drug discovery while collaborating with domain experts
Job Summary
This role focuses on using multi-modal data and AI algorithms to bridge the gap between data and advances in small molecule drug discovery.
The successful candidate will develop reproducible analytical workflows and build data science tools for the AIDD platform users.
You will collaborate with domain experts to interpret, validate, and contextualize AI models trained on relevant data modalities.
Matching Summary
Match Score: 85
A*STAR is seeking a motivated AI Data Scientist to contribute to the Artificial Intelligence in Drug Discovery (AIDD) initiative in Singapore. The role focuses on leveraging multi-modal data and AI algorithms to advance small molecule drug discovery while collaborating with domain experts.
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 pre-trained foundation models
Knowledge of protein language models
Familiarity with structural biology
Strong statistical analytical skills
Ability to orchestrate automated pipelines
Key Requirements
PhD in Computational Biology, Bioinformatics, or related field
Strong experience training ML models
Proficiency in Python, NumPy, scikit-learn, PyTorch