Research Assistant (Point-Of-Care Diagnostics, IHealthTech) - Part-Time

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Point-of-Care-Diagnostics%2C-iHealthTech%29/33267-en_GB/

We regret that only shortlisted candidates will be notified.

About iHealthTech

At iHealthtech, we envision advancing health through innovation, integration of smart technology and on-demand health solution. Our organisation consists of an interdisciplinary team of scientists, engineers, and clinicians who work with our industrial partners to push the frontier of science to meet patients' needs. 

Job Description

We are seeking highly motivated Research Assistants to join a multidisciplinary team developing next-generation point-of-care (POC) diagnostic technologies for cardiovascular and other diseases.

Successful candidates will contribute to one or more of the following research areas:
•    Electrochemical biosensors for disease biomarker detection
•    Passive microfluidic plasma separation devices for finger-prick blood sampling
•    Portable wireless electrochemical reader systems, embedded electronics, and AI-enabled diagnostics

These positions offer hands-on experience at the intersection of biomedical engineering, microfluidics, biosensors, electronics, software development, and translational healthcare technologies.

Key Responsibilities

•    Design, prototype, and test microfluidic devices, electrochemical sensors, and portable diagnostic systems.
•    Support fabrication processes including micro/nanofabrication, surface modification, and device integration.
•    Conduct experimental evaluation of device performance using biological samples and laboratory models.
•    Assist in the development of embedded systems, data acquisition hardware, wireless communication modules, and user-interface software.
•    Support signal processing, data analysis, and integration of AI-based analytical tools for automated interpretation of diagnostic results.
•    Collect, organize, and analyze experimental data using appropriate software tools.
•    Work closely with postdoctoral fellows, clinicians, engineers, and interdisciplinary collaborators.
•    Maintain laboratory records, prepare technical reports, and contribute to publications and presentations.
•    Ensure compliance with laboratory safety procedures and good research practices.

Qualifications

• Bachelor’s or Master’s degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Mechanical Engineering, Materials Science, Chemical Engineering, Biotechnology, Computer Science, Chemistry, or a related discipline.
• Hands-on experience through coursework, research projects, internships, or laboratory work in one or more of the following areas:Biosensors and electrochemistryMicrofluidics and lab-on-chip systemsBiomedical device developmentEmbedded systems and electronicsSoftware development and data analysis
• Strong analytical, organizational, and problem-solving skills.
• Ability to work effectively in a multidisciplinary research environment.

Preferred Skills

Experience in one or more of the following areas will be advantageous:

• Electrochemical sensing and techniques such as CV, DPV, SWV, EIS
• Microfluidic device design, fabrication, and plasma separation technologies
• Microcontrollers, embedded firmware, wireless communication systems, and hardware prototyping
• Surface chemistry, biomolecular functionalization, and bioassay development
• CAD design, 3D printing, laser cutting, or soft lithography
• Data analysis, signal processing, AI/ML, Python, MATLAB, or related tools
• User-interface development and scientific data visualization
• Strong interest in translational diagnostics, point-of-care technologies, and biomedical innovation

Application

To apply, please send the following to the NUS Career Portal.

• Cover letter
• Curriculum Vitae (CV)
• Names and contact details of three referees (name, institution, and email)

We regret to inform you that only shortlisted candidates will be contacted.