Scientist, Drug Discovery (A*STAR VII)

A*STAR RESEARCH ENTITIES

Singapore, Singapore
Not specified (assumed to be on-site based on the context of research).
Phd in artificial intelligence or related field
Strong publication record in ml research
Expertise in physics-informed machine learning
A*STAR Research Entities is seeking a passionate Computational Scientist to join their interdisciplinary team focused on enhancing drug discovery through innovative computational methodologies, particularly involving AI and machine learning. The ideal candidate should possess a PhD in relevant fields and demonstrate expertise in computational modeling, with a strong publication record

Job Summary

  • The role focuses on bridging methodological innovation with real impacts in drug discovery through computational science.
  • Candidates will design innovative approaches integrating biology-informed and causal machine learning to accelerate drug R&D.
  • The position requires publishing findings in leading journals and collaborating with domain experts across disciplines.

Matching Summary

Match Score: 85

A*STAR Research Entities is seeking a passionate Computational Scientist to join their interdisciplinary team focused on enhancing drug discovery through innovative computational methodologies, particularly involving AI and machine learning. The ideal candidate should possess a PhD in relevant fields and demonstrate expertise in computational modeling, with a strong publication record.

Skills & Requirements

Must-have

  • PhD in Artificial Intelligence or related field
  • Strong publication record in ML research
  • Expertise in physics-informed machine learning

Nice-to-have

  • Familiarity with drug discovery challenges
  • Interest in causal AI and uncertainty quantification
  • Experience mentoring junior researchers

Key Requirements

  • PhD degree required
  • Demonstrated expertise in AI/ML methodologies
  • Track record of reproducible research

Work Rights

Not specified

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