Research Fellow, Multiscale Molecular Diagnostics, Singapore

Job Description
Job Description
The Institute for Health Innovation & Technology (iHealthtech) at the National University of Singapore (NUS) is a cross-disciplinary research institute dedicated to advancing healthcare through innovation. Established in 2017, iHealthtech brings together engineers, clinicians, and scientists to develop transformative technologies that bridge the gap between laboratory research and clinical or commercial application. Its core research areas include precision medicine, smart sensors and AI for health, and mental health and ageing. Equipped with advanced prototyping and testing facilities, the institute supports translational efforts through its Healthtech Translation Hub (HATCH), which accelerates commercialization and startup formation. Guided by the vision of 'Advancing health through innovation,' iHealthtech strives to create impactful solutions that improve patient outcomes and address global healthcare challenges.
Job Description & Key Responsibilities
Develop optical platforms for extracellular vesicle (EV) biosensing System development and instrumentation for EV analysis, integrating optical, electronic, microfluidic modules. Quantitative modelling and automated data analysis to validate experimental designs and interpret experimental observation, and enable automated data processing. Nanomaterial and surface chemical/biochemical engineering for enhanced plasmonic signal and interface for biochemical interactions. Assay development and biomolecular characterization for optimizing chemical/biochemical procedures and detection protocols for reproducible quantitative performance. Scientific writing and communication for publication and presentation. Collaboration and project leadership.
Qualifications
Ph.D. in Biomedical Engineering, Electrical Engineering, Materials Science, or related fields. Hands-on experience in biosensor and molecular assay development, optical microscopy, image analysis, and/or nanofabrication. Familiarity with MATLAB/Python data analysis, and basic signal or image processing concepts. Knowledge of plasmonic sensing, nanomaterials, or extracellular vesicle biology is advantageous. Strong analytical skills, attention to detail, and ability to work independently in an interdisciplinary environment.
More Information
Location: Kent Ridge Campus
Organization: Inst for Health Innovation & Technology
Department : Inst for Health Innovation & Technology
Employee Referral Eligible: No
Job requisition ID : 30948