Lead RNA Therapeutics & AI Research Fellow

Nanyang Technological University; Singapore; Presencial; SGD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Nanyang Technological University, at LKCMedicine, invites applications for a Senior Research Fellow to advance RNA therapeutics through high-throughput screening and AI-driven data analysis. You will lead wet-lab work, design experiments, and generate datasets for model training.

The role requires a PhD in a related field, strong molecular biology expertise, and enthusiasm for interdisciplinary collaboration with computational teams. You will mentor staff and present findings to stakeholders.

Formación

• PhD in Biomedical Engineering, Biochemistry, Biology, Chemical Engineering, Pharmaceutical Sciences, or a related field.
• Hands-on wet-lab experience and molecular biology skills preferred.
• Experience with high-throughput screening and RNA therapeutics is desirable.

Responsabilidades

• Lead experimental wet-lab efforts to scale up high-throughput screening of RNA therapeutics.
• Design and conduct molecular biology experiments 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.

Conocimientos

Wet-lab techniques

Data generation

AI model development

Mentoring

Collaborative work

Educación

PhD in Biomedical Engineering / Biochemistry / Biology / Chemical Engineering / Pharmaceutical Sciences

Descripción del empleo

Nanyang Technological University, at LKCMedicine, invites applications for a Senior Research Fellow to advance RNA therapeutics through high-throughput screening and AI-driven data analysis. You will lead wet-lab work, design experiments, and generate datasets for model training.

The role requires a PhD in a related field, strong molecular biology expertise, and enthusiasm for interdisciplinary collaboration with computational teams. You will mentor staff and present findings to stakeholders.