National University of Singapore

Job Description:

Job Description

The Mechanobiology Institute (MBI) at the National University of Singapore (NUS) is a leading multi-disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell, tissue and organ mechanics/dynamics and mechano-signal transduction. The institute operates on a fully integrated open-lab philosophy, with an extensive infrastructure supported by core facilities dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing.

We are inviting applications for a Research Assistant to support ongoing research in the area of cell mechanics and mechanobiology in research group of Prof. Lim Chwee Teck. The successful candidate will work closely with a multidisciplinary team to investigate how mechanical forces influence cellular behavior, with applications in cancer biology, tissue engineering, and regenerative medicine. The selected candidate's key responsibilities will include:

• Assisting in the design and execution of experiments related to cellular biomechanics, including traction force microscopy, micropatterning, and live-cell imaging
• Supporting day-to-day lab operations, including equipment maintenance, reagent preparation, and inventory management
• Ensuring adherence to lab safety protocols and regulatory compliance
• Analyzing experimental data using standard tools (e.g., MATLAB, ImageJ, Excel) and assist in preparing research reports and documentation
• Working collaboratively with researchers, graduate students, and external partners to support project goals

Qualifications

• Bachelor’s degree in Biomedical Engineering, Mechanical Engineering, or a related discipline
• Master’s degree in Engineering, Science, or a related field is also welcomed
• Experience with cell culture techniques, microscopy, and mechanical testing methods is advantageous
• Familiarity with data analysis tools (e.g., Excel, MATLAB, or Python) and an interest in using generative AI tools for research support
• Strong organizational, communication, and teamwork skills
• Demonstrated ability to multitask and manage responsibilities effectively in a research environment

Salary and benefits are commensurable to educational qualifications and working experience of the candidates.

To Apply

Applicants should upload their cover letter, CV and the contacts of three references with their online application. Enquiries about this position can be sent via email to Prof. Lim Chwee Teck at ctlim@nus.edu.sg. We regret that only shortlisted candidates will be notified.

More Information

Location: Kent Ridge Campus

Organization: Mechanobiology Institute

Department : Mechanobiology Institute

Employee Referral Eligible: No

Job requisition ID : 28847