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Research Fellow (Computer Science/AI/Computational Biology/Bioinformatics)

Ntu · NTU Main Campus, Singapore

Mixed hiring record · median 54 days open

9898

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Actively hiring

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  • 49% of this employer's openings are over 60 days old

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  • Still listed on the employer's own board

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Research Fellow (Computer Science/AI/Computational Biology/Bioinformatics) at Ntu. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college known for its excellent curriculum, outstanding research, and world-renowned faculty. Located in the heart of Asia, NTU CCDS is shaping the future of AI, Data Science, and Computing.

We are seeking a highly motivated and innovative Research Fellow (AI / Computational Biology) to join our cutting-edge initiative at the intersection of artificial intelligence and RNA therapeutics. This position is part of a collaborative effort across NTU CCDS and LKC School of Medicine, developing frontier AI methodologies to revolutionize RNA-based treatments.

Key Responsibilities

  • Develop and deploy state-of-the-art machine learning/deep learning models for RNA sequence design, structure prediction, and property optimization.
  • Process, curate, and model high-throughput screening and genomics datasets.
  • Collaborate closely with wet-lab biologists and clinicians to validate AI predictions experimentally.
  • Stay current with advancements in AI4Science and prepare scientific publications for top AI conferences and high-impact journals.
  • Present research findings to multidisciplinary academic and industry partners.

Job Requirements

  • PhD in Computer Science, AI, Computational Biology, Bioinformatics, or a related quantitative discipline.
  • Strong background in machine learning/deep learning with proficiency in PyTorch, JAX, or TensorFlow.
  • Experience with biological sequence analysis, generative models, or computational drug discovery is strongly preferred.
  • Excellent programming, analytical, and collaborative communication skills.
  • Eagerness to work in an agile, interdisciplinary research environment.

We regret that only shortlisted candidates will be notified.

Hiring Institution

NTU

Skills

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