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

ntu; Singapore; Sur place; SGD 70 000 - 100 000; Plein temps

Résumé du poste

NTU Singapore's College of Computing and Data Science (CCDS) invites a Research Fellow to advance AI applications in RNA therapeutics. You will develop machine learning models for RNA sequence design and structure prediction, while handling high-throughput genomics data in collaboration with wet-lab biologists.

Work with clinicians and researchers to validate AI predictions, stay at the forefront of AI4Science, and contribute to publications in premier conferences and journals.

Qualifications

• PhD in a quantitative field required.
• Strong ML/DL background with PyTorch/JAX/TF proficiency.
• Experience with biological sequence analysis or computational drug discovery preferred.

Responsabilités

• Develop and deploy state-of-the-art ML/DL models for RNA design, structure prediction, and property optimization.
• Process, curate, and model high-throughput screening and genomics datasets.
• Collaborate with wet-lab biologists and clinicians to validate AI predictions experimentally.
• Publish research findings in top AI conferences and high-impact journals.

Connaissances

Machine learning

Deep learning

PyTorch

JAX

TensorFlow

Programming

Collaboration

Formation

PhD in Computer Science / AI / Computational Biology

Outils

PyTorch

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.

Hiring Institution: NTU