Total 105 Junior Executive level Science / R&D / Research job vacancies in BUKIT PASIR

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-%28Microbiology-&-Immunology%29/20750-en_GB/?st=BBE292BB043DB988997818261DB218F6EFE0D99F

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant for “Singapore Integrated Network for Genomic and Epidemiological Tick-borne Pathogen Investigation and Connectivity” in the Department of Microbiology & Immunology, Yong Loo Lin School of Medicine. The Department of Microbiology and Immunology (https://medicine.nus.edu.sg/mbio/) at NUS is dedicated to advancing research, teaching, and training in infectious diseases, immunity, and host-pathogen interactions. It is well known for strengths in immunology, virology, bacteriology, parasitology, and molecular biotechnology, supported by strong core research facilities and graduate training opportunities. Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will work closely with the Principal Investigator (PI) and study team members to support the successful completion of a tick and tick-borne diseases biosurveillance project in Singapore. The RA’s principal role will be to support field sampling and surveillance activities, manage and process study data for analysis and reporting, and contribute to accurate record-keeping and documentation to ensure project milestones are met on time.

Main duties and responsibilities

1. The Research Assistant will liaise with relevant personnel to facilitate the smooth running of fieldwork and related data workflows and will be accountable to the Principal Investigator (PI). The RA will be able to:
2. Provide administrative support to the project, such as organising regular meetings, maintaining communication with research team members and collaborators, and supporting scheduling and tracking of project tasks.
3. Support the day-to-day coordination of project activities, including planning and logistics for biosurveillance fieldwork across multiple sites in Singapore.
4. Provide administrative support to the project, such as organising regular meetings, maintaining communication with research team members and collaborators, and supporting scheduling and tracking of project tasks.
5. Assist with fieldwork operations at study sites, including supporting systematic collection activities and maintaining clear, consistent field records in line with project protocols.
6. Manage, clean, and process field and project data for analysis and reporting, maintaining well-organised datasets and contributing to the upkeep of project databases.
7. Support basic data analysis, visualisation, and reporting using relevant tools (e.g., MS Office, R Studio; ArcGIS where spatial outputs are needed), and assist with preparing progress updates and final reports.
8. Maintain high standards of professional conduct, data integrity, and record-keeping in accordance with project policies and procedures.
9. Assist with any other duties of a similar nature as delegated by the PI.

Qualifications

The applicant should:

1. Demonstrate competence in GIS-based mapping and spatial analysis (e.g., using ArcGIS), with the ability to support vector and tick-borne disease biosurveillance mapping and the integration of environmental and climate-related spatial data (e.g., satellite-derived indices, land cover, and other relevant layers) for analysis and reporting.
2. Have experience with field-based sampling and surveys, including working across varied habitats and maintaining accurate field notes, metadata, and sample documentation in accordance with project protocols.
3. Have a background in species identification and specimen handling, including experience with morphological documentation and/or contributing to species or ecological databases, with strong attention to detail in recording and data quality.
4. Have familiarity with molecular biology laboratory workflows relevant to biosurveillance (e.g., DNA extraction and PCR), and be able to follow laboratory protocols, maintain clear lab records, and support downstream identification workflows as required.
5. Be comfortable managing and organising datasets for analysis and reporting, and be proficient with standard productivity and data tools (e.g., MS Office), with added advantage of experience in analytical software (e.g., R).
6. Be able to work independently and collaboratively, with strong organisational and communication skills, and a professional approach to safety, confidentiality, and research integrity.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Benoit Malleret at benoit_malleret@nus.edu.sg.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to the NUS Career Portal.

We regret that only shortlisted candidates will be notified.

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-%28Pharmacy-and-Pharmaceutical-Sciences%29/33367-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr Boxiang Liu as a Research Assistant, supporting the research administration and laboratory operations of a computational and experimental genomics lab.

The main responsibilities of the position include:
• Developing a strong familiarity with the lab’s overall research direction, which underpins all other responsibilities
• Coordinating and scheduling of research meetings with the relevant collaborators and lab members
• Assisting with grant proposal writing, grant management, and grant reporting
• Training new staff on safety and assisting with the preparation of hiring and onboarding documents, SOP and safety documents
• Organising research meetings outside the regular lab setting
• Proofreading manuscripts
• Keeping abreast of the latest developments in the field and contributing to brainstorming on research projects and grant proposals
• Purchasing reagents and managing laboratory inventory
• Conduct molecular biology work as required, including cloning, cell culture, and gel electrophoresis

Qualifications / Discipline: 
• BS or MS degree in a relevant discipline (including life sciences, biology, pharmacy, bioinformatics, business administration, or a related field) 

Skills: 
• Molecular biology techniques, cloning, cell culture, gel electrophoresis
• Research Literacy and interest in genomics and related life sciences
• Detail-oriented and highly organised
• Strong note-taking and document management skills
• Excellent written and spoken English
• Proficient with common office software and research-related tools
• High standards of integrity in handling confidential information
• Self-motivated to learn and improve the operational standards of the lab

Experience: 
• Prior experience in research administration, grant management, or laboratory operations is preferred
• Wet-lab experience (in molecular biology, cloning, cell culture, gel electrophoresis) is an advantage 

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%2C-School-of-Computing/33376-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

Our research will focus on the design and implementation of next-generation AI accelerators, including the development of new architecture designs (dataflow designs), reuse patterns, caching and the development of the infrastructure of the system needed to support the acceleration of AI platforms.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Hardware Design, Circuits and Systems
• Algorithms
• Programming Languages & Software Engineering

Only shortlisted candidates will be notified.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research

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-%28Physics%29/33339-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Associate Professor Utkur Mirsaidov on exciting research nanoscience projects using cutting-edge in-situ high-resolution transmission electron microscopic techniques (TEM).

Main responsibilities:

• Responsible for micro- and nanofabrication, process improvements, and developing designs for new devices.
• Since the candidate will be working in an international and multicultural environment, fluency in English and good people skills are essential.
• We are a group of dynamic and creative researchers who love science, looking for like-minded candidates who are willing to head on challenges and go extra miles.

The successful candidate is also privileged to be trained on advanced microscopic techniques that bring you to the next level in the research world.

Training provided:

• Transmission electron microscope (TEM)
• Scanning electron microscope-focus ion beam (SEM-FIB)
• 2D material transfer and fabrication

Qualifications

Bachelor Degree or higher in one of the following disciplines: Physics, Engineering, Mathematics.

Skills:
•    Main: Solid programming skills with experience in Python/Matlab/
•    Bonus: Imaging process, visualization, scientific image analysis experience, cleanroom (microfabrication) experience.
•    Possess great interpersonal and communication skills, hard-working, and not afraid of challenges

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%2C-School-of-Computing/33375-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

Our research will focus on the design and implementation of next-generation AI accelerators, including the development of new architecture designs (dataflow designs), reuse patterns, caching and the development of the infrastructure of the system needed to support the acceleration of AI platforms.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Hardware Design, Circuits and Systems
• Algorithms
• Programming Languages & Software Engineering

Only shortlisted candidates will be notified.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research

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/33378-en_GB/?st=D69A109800B45D05A9B168D1AA363BC6A2D3EC43

We regret that only shortlisted candidates will be notified.

Job Description

The job holder will assist with provide data management, analytical and reporting support for research project.

Duties & Responsibilities 

• Clean and document survey datasets to ensure data accuracy, consistency and readiness for analysis
• Conduct predictive analysis using statistical and analytical methods to identify patterns, trends and insights from survey data
• Develop data visualisations, reporting outputs to communicate survey findings
• Prepare technical documentation and analytical reports and provide support in the interpretation and presentation of survey results for research purpose.
• Any other duties as assigned

Qualifications

• Degree in Data Science and Economics , Computer Science or a related discipline
• Experience in survey data management
• Proficient in statistical and analytical software
• Experience in development of data visualisation and analytical reports using relevant tools
• Strong analytical, problem solving and communication skills with ability to present findings clearly in both technical/non-technical way
• Ability to work independently, manage multiple tasks and meet project datelines in a research environment

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-%28Laboratory-Coordinator%29/33309-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Location: Lung Diseases Research Laboratory in the Department of Physiology, National University of Singapore

Email interest with CV and list of at 2 referee letters to NUS Career Portal

Research Assistant (Laboratory Coordinator)

The Research Assistant (Laboratory Coordinator) will support the administrative and operational functions of the laboratory, ensuring efficient coordination of research activities and compliance with institutional policies. The role also includes providing experimental support to Research Fellows/Associates and students where required.

Key Responsibilities

• Coordinate project administration, including procurement, purchase orders, and invoice processing
• Maintain accurate laboratory records, documentation, and filing systems (electronic and hardcopy)
• Support day-to-day laboratory operations, logistics, and inventory tracking
• Provide technical and experimental support to Research Fellows/Associates and students, where applicable, hands-on experience in animal work is preferred
• Assist with basic laboratory procedures and ensure proper use of equipment and resources, including safety-related documentation and procedures
• Liaise with internal departments (e.g., finance, procurement, safety) and external vendors
• Ensure compliance with institutional guidelines and standard operating procedures

Qualifications

• Bachelor’s degree in Biological Sciences or a related discipline
• Proven experience in project coordination or administrative roles
• Strong organizational skills with high attention to detail
• Prior laboratory experience with animal handling is advantageous

Skills & Competencies

• Ability to work independently and manage multiple priorities
• Strong interpersonal and communication skills
• Ability to support experimental work in a collaborative research environment

Application Instructions

Interested applicants should submit a CV, a cover letter, and three reference letters.

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-%28Chemistry%29/33296-en_GB/?st=A995DE39F8DA5ECF6CD7640B102DE677C18D0B87

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Asst. Prof. Liviu Ungur on development of the sampling methodology of machine learning potentials under a project on "Achieving Transferability in MLFFs via Targeted Sub-Configuration Space Curation and Sampling".

The main responsibilities of the position include:
•    Generation of the training data for machine learning potentials
•    Study of the configuration space map, clustering of configurations
•    Contribution to the MLFF training software

Qualifications / Discipline:
•    BSc in Chemistry or Physics 

Skills:
•    Working skills with machine learning tools, such as TensorFlow, PyTorch, pyhton coding and bash scripting, etc.
•    Experience with solid-state softwares, such as VASP or Quantum Esspresso. 
•    Experience with molecular dynamics simulations with Lammps / Gromacs.

Experience:  
•    Working experience with high-performance computing clusters, such as NSCC or HPC @NUS.
•    Several years of research experience in the field of computational material science, computational chemistry, computational phy

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-%28Urban-Intelligence-&-Policy-Analyst%29/33289-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

NUS Cities is a university-wide, interdisciplinary entity hosted within the College of Design and Engineering, serving as an open and inclusive collaborative platform spanning Education, Research, and Advisory Services.

This role focuses primarily on the urban planning, qualitative research, and policy translation components of NUS Cities' ongoing projects, helping ensure that research outputs are grounded in real-world planning contexts and communicated effectively to planning practitioners and policymakers. The Research Analyst will also contribute to academic publications, helping advance and disseminate knowledge to the broader research community.

Key Responsibilities

• Support the integration of technical outputs with urban planning and policy context, ensuring insights align with real-world governance needs and planning workflows.
• Support the policy translation process — helping operationalise research outputs into formats suitable for decision-makers (e.g., slides, briefs, memos, workshop materials, and presentation narratives).
• Contribute to documentation, visualisations, and the writing of reports and publications, with a strong focus on clarity, structure, and readability for both policymakers and academic audiences.
• Support other NUS Cities research and analysis activities, including contributing to engagements, knowledge products, and deliverables that connect research insights with practitioner and policy audiences.
• Support qualitative research activities, such as synthesising practitioner needs, summarising stakeholder feedback, drafting case studies, and translating technical outputs into clear planning narratives.
• Assist in designing and validating use cases for the technical framework (e.g., built environment and residents' well-being analysis; estate management and operational efficiency), with emphasis on framing, interpretation, and real-world relevance.

Qualifications

• Bachelor's or Master's degree in Urban Planning, Public Policy, Social Sciences, Geography, Urban Studies, or a closely related field.
• Strong organisation and project coordination skills, with the ability to manage multiple workstreams, timelines, and stakeholder touchpoints.
• Excellent writing and presentation skills, including the ability to produce clear, well-structured slides, briefs, summaries, and stakeholder-facing materials.
• Resourceful and analytical, with good communication skills; able to work independently while collaborating effectively with interdisciplinary teams of planners, social scientists, and technical researchers.
• Keen interest in working with AI tools and prompt engineering to support research, synthesis, and knowledge production workflows.

Preferred
• Familiarity with Singapore's urban governance landscape (e.g., URA, HDB, BCA, LTA, MND) is a strong advantage.
• Demonstrated experience in qualitative research and synthesis (e.g., interviews, thematic analysis, sensemaking, narrative development, stakeholder needs analysis).
• Familiarity with geospatial tools (e.g., QGIS/ArcGIS/GeoPandas) and/or data analysis in Python.

Application Procedure

Interested applicants should submit a dossier consisting of the following to the NUS career portal:

• A cover letter (maximum 3 pages)
• Up-to-date CV
• A statement describing their research trajectory, interests and career ambitions
• Contact details for three referees. Only short-listed applicants will be invited to submit reference letters.

We will begin evaluating candidates immediately, but the position will remain open until a suitable candidate is found. Further enquiries should be sent to mzyeric@nus.edu.sg (please indicate “Research Assistant (Urban Intelligence & Policy Analyst) Application” as the subject heading).

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-%28Multifunctional-Metamaterials%29/33292-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Sustainable and Multifunctional Metamaterials for Industrial Technologies (SUMMIT) Research Group (led by Dr. James Utama Surjadi) is seeking a highly motivated Research Assistant to assist projects in the development of next-generation mechanical metamaterials. Our group sits at the intersection of mechanics, materials science, and advanced manufacturing. We aim to create multifunctional systems that maintain high performance under extreme conditions, utilizing an innovation pipeline that spans AI-driven design to multiscale characterization.

Key Responsibilities:

• Research Execution: Assist research in one or more of our core areas: multifunctional metamaterials, adaptive/tough metamaterials, sustainable nanomanufacturing, or AI-driven materials optimization.
• Computational Modeling: Utilize Finite Element Modeling (FEM), molecular dynamics, density functional theory, and AI/Machine Learning frameworks to predict and optimize the behavior of complex metamaterial architectures.
• Fabrication & Characterization: Fabricate samples and perform multiscale mechanical testing under coupled thermal and electrical environments.
• Dissemination: Prepare high-impact manuscripts for peer-reviewed journals, patents, and present research at international conferences.

Qualifications

• Bachelors or Masters in Mechanical Engineering, Materials Science, Robotics, Electrical and Electronic Engineering, Chemistry, Applied Physics, or related fields

• Interest or experience in mechanical metamaterials, multiscale and multiphysics simulation, mechanics of materials, additive manufacturing, micro/nanofabrication, finite element modeling, AI-driven design, material synthesis, nanomechanics, or experimental characterization

• Highly motivated, collaborative, and able to work in an interdisciplinary research environment

• Good communication skills in English (spoken and written) – for the purpose of presenting research findings in meetings and preparing research progress reports.

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-AssistantAssociate-%28QC-Analytical-Chemist%29/28267-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant/ Research Associate (QC Analytical Chemist) in the Department of Clinical Imaging Research Centre (CIRC) Yong Loo Lin School of Medicine. CIRC is a dedicated molecular imaging research centre. It is equipped with on-site capability for the preparation of PET radiopharmaceuticals in a state-of-the-art GMP-certified facility. CIRC is positioned to support both academic and commercially led clinical research programs, with dedicated clinical imaging facilities area advanced modalities of PET-CT and PET-MRI. For more details on what we do, do visit https://medicine.nus.edu.sg/circ/. Appointments will be made on a two-years contract basis with the possibility of extension.

Purpose of the post

The QC Analytical Chemist will be responsible to, and work closely with Head of QC, to ensure the successful and safe release of radiopharmaceuticals manufactured at CIRC. The QC Analytical Chemist’s principal role will be to perform all quality control tests required by pharmacopeia. Alongside with maintaining the inventory of raw materials, maintenance of equipment and all the necessary documentation required for the QC laboratory in compliance to PIC/S GMP.

Main Duties and Responsibilities

The QC Analytical Chemist will be responsible for:

• Performing routine QC release testing (HPLC, GC, radioTLC etc) on radiopharmaceutical to ensure quality and safe for clinical use in compliance with PIC/S GMP requirements.
• Support routine QC operations such as daily equipment checks, monthly standard calibration, documentation activities.
• Conducting routine microbial testing activities such as microbial plate incubation, sterility testing, bioburden testing, etc and liaising with third party contractors if required.
• Managing raw materials, including inventory control, purchasing, receipt and status tracking of raw materials.
• Developing and validating QC test methods for the radiopharmaceutical QC release testing.
• Assisting in preparation and maintenance of Standard Operating Procedures (SOPs), Work Instructions (WIN), Recordsheets (REC), etc and fill in Batch Manufacturing Records (BMR).
• Supporting in the managing of equipment in the QC and Metabolite laboratories, including qualification, operation, maintenance, cleaning, calibration and re-qualification activities.
• Supporting Production in Research & Development activities when required.
• Maintaining cleanliness and housekeeping within QC laboratories, raw material storage areas, and the cyclotron facility.
• Handling chemical and biohazard waste disposal activities for QC department in accordance with safety and regulatory requirements.
• Adhering to the university’s safety and health policies and guidelines.
• Performing environmental monitoring activities in cleanroom facilities, including environmental and airborne particle sampling, when required
• Undergoing cross-training to support routine radiopharmaceutical manufacturing activities in Production, where necessary.
• Any adhoc duties assigned in support of departmental and operational needs

Physical Demands and Work Environment

Personnel should be comfortable with:

• exposure to radiation when handling radioactive samples.
• handling of chemicals for QC testing (flammables, acids, and bases).
• Handling chemical and biohazard waste
• Occasion lifting heavy objects such as lead shield containment (lead pots)
• Comfortable with routine and repetitive work
• Standard working hours with occasional overtime

Qualifications

The applicant should:

(a) Have a minimum of BSc degree in Chemistry, Biochemistry, pharmacy or a related field;

(b) Good knowledge and experience on GMP (Good Manufacturing Practice) or GLP (Good Laboratory Practice);

(c) Preferably hands-on experience with operating and maintaining analytical instruments such as HPLC, GC, and also aseptic isolator for sterility testing.

(d) Have good analytical processing skills, as well as,

(e) Have good critical thinking and proactiveness at work

Remuneration will be commensurate with the candidate’s qualifications and experience.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to the NUS Career Portal.

We regret that only shortlisted candidates will be notified.

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%29/33268-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:

• 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.  

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.  

Job Title: R&D Engineering Assistant / Failure Analysis Technician (Lab Analysis & Testing) (ID1627)
Location: Pioneer, transport pick up Singapore
Working Hours: 4334 days 12 hours shift (Day / Night)
Day Shift: 8:00am – 8:15pm
Night Shift: 8:00pm – 8:15am
Basic Salary: $2400 - $3000
Benefit: 12 days Annual Leave, AWS and Variable Bonus

Job Description
• Assist in conducting validation, evaluation, and characterization of media, media processes, and related components to ensure compliance with design and reliability margins.
• Perform surface analysis measurements and support the development of analysis techniques under the guidance of engineers.
• Document and compile results of evaluations and failure analyses for review by engineers.
• Collaborate with engineers to provide input on surface analysis results and support improvement activities.
• Execute daily evaluation and failure analysis tasks as prioritized by engineers to meet target completion dates.
• Operate and maintain surface analysis lab equipment and report any issues to engineer or vendors for repair and maintenance.
• Ensure lab operations comply with ISO quality and safety standards.
• Carry out additional tasks as assigned by engineers to support lab operations and engineering activities.
• Proper 5s housekeeping
• Any other ed-hoc as assigned by superior

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Medicine-Chronic-Hepatitis-B-%28CHB%29/33250-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Chronic Hepatitis B (CHB) remains a major global health challenge, and functional cure, defined by HBsAg loss and immune restoration , is rarely achieved.

Our multidisciplinary program integrates clinical cohorts with mechanistic laboratory studies to uncover how hepatocytes transition from a pro-viral tolerant state to an immune-reactive flare state that precedes viral clearance.
This program is supported by longitudinal clinical datasets and paired liver biopsies, generating high-dimensional multi-omic data that require computational analysis to resolve intrahepatic immune and viral state transitions.

This research aims to identify molecular triggers and therapeutic targets that drive immune-mediated HBV flares, combining hepatocyte biology, RNA therapeutics, and spatial transcriptomics.

A major component of this work involves analysis of spatial transcriptomics and transcriptomic datasets to map cellular states, trajectories, and microenvironmental interactions associated with HBV flare and functional cure.

Key Responsibilities

Perform data analysis and computational workflows supporting the project.

Lead or support bioinformatics analyses including:

RNA-seq and spatial transcriptomics data processing
Dimensionality reduction (PCA, PHATE, diffusion maps)

Trajectory and state-transition analysis
Pathway and gene set enrichment analyses
Integration of clinical and molecular datasets

Work with existing pipelines (R/Python) and contribute to development of reproducible analysis workflows.

Maintain meticulous experimental records, data organization, and documentation.

Support data analysis and visualization (Excel, GraphPad, or Python/R if skilled).

Liaise with clinical teams and collaborators to integrate computational findings with clinical and translational aspects of the project.
Limited exposure to experimental workflows may be available if required.

Qualifications

Bachelor’s degree in Life Sciences, Biomedical Sciences, or Molecular Biology.

Prior experience in data analysis, coding (R/Python), or bioinformatics is strongly preferred.

Experience with hepatocyte or viral systems (HBV, HCV, etc.) is an advantage.

Prior wet-lab experience (cell culture, molecular assays) is not required but may be considered an advantage.

Strong work ethic, curiosity, and ability to learn new techniques quickly.

Willingness to be trained in new computational and/or experimental techniques as required.

Excellent organizational, communication, and teamwork skills.

Training & Opportunities

Exposure to cutting-edge platforms: RNA therapeutics, AAV-HBV1.2 mouse models, and spatial transcriptomics (CosMx).

Hands-on training in bioinformatics workflows, including transcriptomic and spatial data analysis, using real clinical datasets.

Opportunity to contribute to high-impact publications and national translational HBV consortia.

Ideal stepping stone for candidates aiming for PhD training or biomedical research careers.