Senior Research Fellow (Biomedical Engineering/Biochemistry/Biology/Chemical Engineering/Pharmaceutical Sciences) Full-time

Post-Doctoral Researcher

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 that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU's College of Computing and Data Science is an 'exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

We are seeking a highly motivated and innovative Post-Doctoral Researcher to join our cutting-edge project at the intersection of RNA therapeutics and artificial intelligence. This exciting position is part of a larger initiative within the NTU College of Computing and Data Science and LKC School of Medicine, where we are pioneering efforts to revolutionize RNA-based treatments through advanced high-throughput screening and AI technologies.

Key Responsibilities:

• Lead wet-lab experiments for RNA therapeutics.
• Design molecular biology experiments to support AI model training.
• Collaborate with a multidisciplinary team, including AI experts.
• Stay updated on RNA therapeutics and contribute to evolving methodologies.
• Present findings to academic and industry stakeholders.

Job Requirements:

• Preferably PhD in Biomedical Engineering, Biochemistry, Biology, Chemical Engineering, Pharmaceutical Sciences, or a related field.
• Strong background in molecular biology and hands-on experience with wet-lab techniques (e.g., RNA synthesis, high-throughput screening) is preferred.
• Demonstrated interest or experience in RNA therapeutics and high-throughput innovation.
• Enthusiasm for interdisciplinary collaboration, particularly with computational team members focused on AI model development.
• Self-motivated and eager to contribute to a rapidly advancing field.

We regret that only shortlisted candidates will be notified.