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

NANYANG TECHNOLOGICAL UNIVERSITY; Singapore; Sur place; SGD 70 000 - 100 000; Plein temps

Résumé du poste

Nanyang Technological University is seeking a Research Fellow in AI/Computational Biology to develop state-of-the-art ML models for RNA design, structure prediction, and property optimization. You will curate high-throughput data and work with wet-lab researchers to validate predictions.

Join a collaborative environment spanning NTU CCDS and LKC School of Medicine, contributing to AI4Science advances and high-impact publications.

Qualifications

• PhD in CS/AI/Computational Biology or related quantitative field.
• Strong ML/DL background with modern frameworks.
• Experience with biological sequence analysis or computational drug discovery preferred.
• Excellent programming and collaboration skills.

Responsabilités

• Develop and deploy ML/DL models for RNA sequence design and structure prediction.
• Process and model high-throughput screening and genomics data.
• Collaborate with wet-lab biologists to validate AI predictions.
• Publish research findings in top AI conferences and journals.
• Present results to academic and industry partners.

Connaissances

Machine learning

Deep learning

Biological sequence analysis

Collaborative communication

Formation

PhD in Computer Science / AI / Computational Biology

Outils

PyTorch

JAX

TensorFlow

Description du poste

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.