Scientist (Computation & AI in Drug Discovery), A*STAR BII

4 days ago

Singapur, Singapore A*STAR - Agency for Science, Technology and Research Full time
Scientist (Computation & AI in Drug Discovery), A*STAR BII

Join to apply for the Scientist (Computation & AI in Drug Discovery), A*STAR BII role at A*STAR - Agency for Science, Technology and Research

Scientist (Computation & AI in Drug Discovery), A*STAR BII

2 days ago Be among the first 25 applicants

Join to apply for the Scientist (Computation & AI in Drug Discovery), A*STAR BII role at A*STAR - Agency for Science, Technology and Research

DESCRIPTION:
We are seeking a passionate and innovative Computational Scientist to join our interdisciplinary research team focused on the integration of Computation, AI/Machine Learning, and Drug Discovery. The ideal candidate is a PhD holder with a track record in developing and applying cutting edge computational methodologies and motivated by the opportunity to bridge the gap between methodological innovation and practical impacts in drug discovery.

DESCRIPTION:
We are seeking a passionate and innovative Computational Scientist to join our interdisciplinary research team focused on the integration of Computation, AI/Machine Learning, and Drug Discovery. The ideal candidate is a PhD holder with a track record in developing and applying cutting edge computational methodologies and motivated by the opportunity to bridge the gap between methodological innovation and practical impacts in drug discovery.
RESPONSIBILITIES:

  • Design and apply cutting edge computational and machine learning approaches across key stages of drug R&D, including target identification, lead optimization, translational predictive modeling and patient selection.
  • 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 strategic initiatives.
  • Mentor junior team members and contribute to a collaborative, cross disciplinary research environment.
REQUIREMENT:
  • PhD in Bioinformatics, Computational Biology, Pharmaceutical Sciences, Biomedical Engineering, Applied Mathematics, Computer Science, or a related field, with a focus on machine learning or computational modeling.
  • Strong publication record or demonstrable contributions to open source tools or reproducible research.
  • Proficiency with AI/ML methodologies and implementations.
  • Excellent problem solving skills, with an ability to balance theoretical rigor with practical implementation.
  • Familiarity with challenges in drug discovery and development preferred.
  • Eagerness to learn and advance the state of the art.
  • Interest in areas of AI/ML such as Active Learning, Geometric Deep Learning, Multi Modal Learning, Causal ML, Generative Models, and Agentic AI.
Seniority level
  • Seniority level Associate
Employment type
  • Employment type Full-time
Job function
  • Job function Research, Analyst, and Information Technology
  • Industries Research Services

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