NTU SINGAPORE

Research Assistant (Chemistry/Chemical Engineering/Pharmaceutical Sciences/Biochemistry)

NTU Main Campus, Singapore Full time

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. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #5 for Data Science and AI by QS World University Ranking.

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.

Job Responsibilities:

  • Lead experimental wet-lab efforts to scale up high-throughput screening of RNA therapeutics.

  • Design and conduct chemical synthesis and analysis to generate high-quality datasets for training AI models.

  • Mentor junior research lab members in experiments.

  • Collaborate with a multidisciplinary team of researchers, including AI scientists and engineers.

  • Stay current with advancements in RNA therapeutics innovation, contributing to the evolution of our methodologies.

  • Participate in regular meetings and present findings to academic and industry stakeholders.

Job Requirements:

  • Bachelor’s degree in Chemistry, Chemical Engineering, Pharmaceutical Sciences, Biochemistry, or a related field.

  • Strong background in organic chemistry, medicinal chemistry and hands-on experience with wet-lab techniques (e.g., chemical synthesis and analysis, 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.

  • Oversee and report project progress.

  • Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU