Total 1,875 Science / R&D / Research job vacancies in Overseas

Project Overview

This project aims to develop and clinically validate a real-time blood analysis and diagnostic platform using an integrated microfluidic medical device. The platform uses precision microfluidic technology to process and profile the biological activity of white blood cells, which is related to inflammatory conditions ranging from diabetes and sepsis to leukemia.

The Postdoctoral Research Associate - Data Scientist will lead the acquisition, preprocessing, analysis, and modelling of medical device-generated data, and will work closely with clinicians, scientists, and engineers to translate AI/machine learning models into working, deployable software for clinical testing and point-of-care use.

This role offers a rare opportunity to bridge clinical data science, medical device engineering, and translational research, moving from experimental and clinical sample data to robust AI-enabled diagnostic workflows and deployable prototypes.

Responsibilities

The Postdoctoral Research Associate - Data Scientist is responsible for developing end-to-end data and AI/ML workflows for the medical diagnostic platform, from device data acquisition and signal/data preprocessing to model optimisation, validation, software integration, and deployment.

Responsibilities include:

- Work closely with clinicians, scientists, software engineers, mechanical/electrical engineers, and data scientists to define clinical use cases, data requirements, model outputs, and deployment workflows for the medical device platform.

- Design and implement reliable data acquisition pipelines from medical device hardware, sensors, imaging or signal outputs, and associated experimental or clinical metadata.

- Develop preprocessing, quality-control, annotation, feature-engineering, and data-management workflows for noisy, multimodal, longitudinal, or time-series biomedical data.

- Analyse experimental and clinical sample data to characterise device and biological performance, identify artefacts, benchmark platform performance, and support evidence generation for translational studies.

- Develop, train, validate, and optimise machine learning, deep learning, statistical, or hybrid models for diagnostic, predictive, or decision-support tasks using appropriate metrics, cross-validation, robustness checks, and uncertainty analyses.

- Translate research models into reproducible and deployable software components, including model inference pipelines, APIs, dashboards, reports, or lightweight user interfaces for clinical and laboratory testing.

- Support software-hardware integration for data acquisition, model inference, device feedback, and prototype deployment; assist with basic UX refinement based on clinician and end-user feedback.

- Maintain high-quality documentation of datasets, code repositories, model versions, experimental protocols, validation results, data dictionaries, and technical reports.

- Prepare manuscripts, presentations, grant reports, and invention disclosures; contribute to literature reviews, patent/IP searches, and responsible research dissemination where relevant.

- Support clinical study workflows by coordinating with clinical collaborators and applying good data governance practices for sensitive clinical and experimental data.

Requirements

- Ph.D. in Data Science, Computer Science, Artificial Intelligence/Machine Learning, Biomedical Engineering, Electrical Engineering, Bioinformatics, Statistics, Applied Mathematics, Computational Biology, or a related field. Candidates close to completion may be considered if the degree will be conferred before appointment.

- Demonstrated research experience in data science, machine learning, deep learning, signal/image processing, biomedical data analysis, time-series analysis, clinical AI, or related computational research.

- Strong programming skills in Python; experience with common scientific and ML frameworks such as NumPy, pandas, scikit-learn, PyTorch or TensorFlow, Jupyter, and Git/GitHub.

- Experience with data acquisition, data cleaning, feature engineering, model optimisation, evaluation, reproducibility, version control, and scientific software development.

- Familiarity with clinical or biomedical datasets, medical device data, biosensor/microfluidic data, imaging data, physiological signals, or multimodal data integration is highly advantageous.

- Experience translating ML models into usable software prototypes, such as REST APIs, dashboards.

- Working knowledge of software-hardware interfacing, instrument-control software, serial/USB/Bluetooth communication, microcontrollers, embedded systems, or edge AI deployment would be advantageous.

- Ability to work closely with clinicians and multidisciplinary teams to interpret findings, gather end-user feedback, define clinical workflow needs, and improve the usability of AI/ML outputs.

- Strong written and oral communication skills, including the ability to write scientific manuscripts, technical documentation, reports, research proposals, and presentations for technical and non-technical audiences.

- Strong commitment to robust, ethical, and responsible AI/ML development, including attention to data privacy, model bias, interpretability, clinical validity, reproducibility, and safe deployment.

- Able and committed to work in Singapore, and willing to meet regularly with collaborators at NUS, NUH, and partnering hospitals.

Relevant Skills

Python, R/MATLAB, SQL, NumPy, pandas, scikit-learn, PyTorch/TensorFlow, Jupyter, data acquisition, biomedical signal processing, time-series analysis, image processing/computer vision, data preprocessing, feature engineering, model validation, model optimisation, uncertainty/robustness analysis, explainable AI, data visualisation, dashboards, REST APIs, Docker, Linux, Git/GitHub, MLOps, UX prototyping, software-hardware interfacing, and clinical data governance.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

Job Description

• Deal with walk-in customer / contractors / ID
• Follow up order from customer
• Introduce new product

Requirements:

• With experience in our trade
• With sales experience
• Good attitude and strong communication
• Working Hours : 9am-6pm
• 6 days (work on Mon - Sat)

*(Basic + Commision + Allowance + AWS )*

Location : Near Payar Lebar MRT

How to apply :

Interested applicants please send resume to 8168 4271(Whatapps) or whatapps for interview appoitment.

Job Description

•Deal with architects,developers & contractors introduce about New products concept

•Required to find ID Contractor or new project

•Required to introduce new product

Requirements:

• With experience in our trade and sales
• Must have experience & Valid class 3 license
• Good attitude and strong communication
• Able to work independently

Working Hours : Office Hours

Location : Near Payar Lebar MRT

How to apply :

Interested applicants please send resume to 8168 4271(Whatapps) or whatapps booking for interview appoitment.

Join one of Singapore’s most established enrichment education groups and make a meaningful impact on students’ learning journeys.

This role is ideal for candidates who enjoy working with children, communicating with parents, and making a positive impact on students’ confidence and learning development. Candidates from education and non-education backgrounds are welcome to apply, as comprehensive training and mentorship will be provided.

If you are looking for a meaningful career with structured development and progression opportunities, we would love to hear from you.

Job Scope:

• Conduct engaging and interactive lessons for primary and/or secondary level students
• Create a positive and motivating classroom environment
• Monitor students’ learning progress and provide constructive feedback
• Review and mark students’ assignments and classwork
• Communicate professionally with parents regarding students’ performance and development
• Support curriculum planning, lesson preparation, and academic activities
• Participate in staff training, development programmes, and team initiatives

Job Requirements:

• Degree in any discipline
• Strong communication and interpersonal skills
• Passion for teaching, mentoring, and working with children
• Positive attitude with strong sense of responsibility and professionalism
• Comfortable working on weekends as part of a 5-day work week
• Candidates without prior teaching experience are welcome to apply

Salary: $4,000–$6,000
Work Locations: Island wide locations available

If this sounds like you, click APPLY NOW tosend us your CV.
We regret that only shortlisted candidates will be notified.

Eleanor Ho

EA Registration No.: R1325724

EA License No.: 25C2695

Primary Science Tutor 

Location: 1187 Upper Serangoon Rd, The Midtown, Singapore 533971

Working days & Time: 4 weekdays (Mon-Thu 12PM-9PM) + 1 weekend (Sun 9AM-6PM)
Salary: $3000 - $4500 (depends to experiences)

Key Responsibilities

• Teach small group classes (6–12 students) using our in-house curriculum
• Provide academic guidance and regular progress updates to parents
• Offer support to students who need additional help
• Collaborate on lesson content updates and curriculum improvements
• Participate in planning and delivering holiday programmes

Requirements: 

• Have past experience in teaching Science
• Understanding in MOE primary / secondary school syllabus for your Science.
• Degree Holder (Science Degree Chemistry/Life Science/ Engineering / Teaching)

Cheong Yeat Long | R25145358

The Supreme HR Advisory Pte Ltd | EA 14C7279

Job Scope:

• Assist in maintaining 2 of the science labs
• Responsible for setup, clean up and general maintenace of science lab/classroom
• In charge of department stock taking and inventory management.
• Preparing apparutus and assist the science teacher in the science lab
• Assist in student management/ classroom management if required

Requirements:

• At least ‘N/O' levels qualification
• Relevant work experience as a teacher's aide/science lab assistant in school setting
• Familiar with MS Office (Powerpoint, Excel etc)
• Possesses good communication skills to liaise with teachers, students, and other stakeholders

Working Hours: Mon to Fri: 7am to 4pm (45 mins unpaid lunch break)

Contract Period: 5 months

Salary: $2100-$2170/month

Location: Hougang

EA License No.: 96C4864

Reg No.: R26159658 BRANN LEONG CHUN HOE

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.

We are looking for a Research Associate to work in mental health AI. The role will focus on development of novel multimodal AI models integrating speech, emotions, linguistics, alongside other key mental health modalities. You will also be required to participate in implementation science research pertaining to the deployment and efficacy testing of AI solutions. You will participate in grant and manuscript preparations and also participate in any high impact projects the group is currently working on.

Key Responsibilities:

• De-identification of mental health speech transcripts

• Design and extract text features for modelling ultra-high-risk outcomes

• Design and improve existing multimodal machine learning frameworks for predicting ultra-high-risk outcomes

• Implementation Science research --- including assistance in recruitment, administration of surveys, conducting AI enactment scenarios, analysis of data

• Take care of the Lab’s computing infrastructure--- including GPU-enable units and HPC server

• Manuscript and grant preparations --- for all research pertaining to mental health NLP and behavioral work. And to support grant administration, co-writing, and liaison with grant offices and administrative bodies.

• Research protocol development --- including the development of LLM-prompt workflows, deep learning and training and optimization processes, data transformation and feature engineering.

• AI model development --- training, development, deployment, post-deployment testing and monitoring of LLM and deep learning models pertinent to the mental health project.

Required educational qualification, experience, skills and competencies:

• Master (for Research Associate equivalent) qualification degree in data science, AI, mental health, implementation science psychiatry discipline or related field

• At least 1 years of relevant experiences in similar role / technical hands-on experience in data science and analytics

• Familiarity with PDPA, Good Research Practice, NLP and linguistics analysis

• Good written and oral communication skills (if applicable)

• Proficiency in python, R, Tensorflow, ML, deep learning, LLMs, statistical modelling

• Competent in soft skills / general personality traits e.g. information visualization, interaction design

• Interpersonal skill (e.g. Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)

• Entry level candidates are welcome to apply

Job Scope

• Design, develop, and execute research projects in membrane science and technology for sustainable and low-carbon separations.
• Develop advanced polymeric membranes, thin-film composite membranes, mixed-matrix membranes, and molecular-sieving membranes by incorporating sustainable polymers, functional nanomaterials, porous fillers, and advanced crosslinking/interfacial engineering strategies.
• Optimize membrane microstructure, free volume, interfacial compatibility, and transport pathways to achieve high permeability, selectivity, and long-term stability under complex operating conditions.
• Conduct membrane fabrication, modification, and performance evaluation for applications such as CO2 capture, H2 purification, vapor/VOC separation, organic solvent separation, resource recovery, and industrial fluid purification.
• Utilize and troubleshoot advanced characterization techniques, including SEM, TEM, AFM, FTIR, XPS, TGA, DSC, DMA, rheology, gas sorption, and permeation measurements, for membrane structure-property analysis.
• Interpret experimental results, compile technical reports, and present research outcomes at project meetings and international conferences.
• Lead the preparation of high-impact manuscripts for top-tier peer-reviewed journals and actively contribute to patent applications and technology translation.
• Conduct comprehensive literature reviews and propose innovative approaches for developing stable, recyclable, scalable, and high-performance membrane materials.
• Assist in mentoring junior researchers, students, and interns, and contribute to collaborative projects with academic and industrial partners.

JobRequirement

• PhD in Chemical Engineering, Materials Science and Engineering, Polymer Science, Chemistry, Environmental Engineering, or a related discipline.
• Strong research background in membrane science and technology, polymer materials, functional materials, or selective separations.
• Prior experience in polymer membranes, thin-film composite membranes, mixed-matrix membranes, molecular-sieving membranes, gas/vapor separation, organic solvent nanofiltration, or membrane transport studies is highly preferred.
• Experience in CO₂ capture, H₂ purification, hydrocarbon separation, vapor/VOC separation, low-carbon separation processes, or membrane stability under humid/complex industrial streams would be an advantage.
• Proficiency in membrane fabrication, membrane characterization, and separation performance evaluation.
• Familiarity with characterization techniques such as SEM, TEM, AFM, FTIR, XPS, TGA, DSC, DMA, rheology, gas sorption, and membrane permeation testing.
• Track record of publishing high-quality papers in membrane science, polymer materials, chemical engineering, or related fields. Experience in patent applications or technology commercialization is an advantage.
• Proven ability to conduct independent research, manage research projects, analyze complex data, and solve technical problems.
• Good scientific writing, communication, and presentation skills.
• Ability to collaborate effectively in multidisciplinary teams and contribute to the supervision of junior researchers.

Position : Primary Science Tutor 

Location: Upper Serangoon

Working days & Time: 4 weekdays (Mon-Thu 12PM-9PM) + 1 weekend (Sun 9AM-6PM)
Salary: $3000 - $4500 (depends to experiences)

Key Responsibilities

• Teach small group classes (6–12 students) using our in-house curriculum
• Provide academic guidance and regular progress updates to parents
• Offer support to students who need additional help
• Collaborate on lesson content updates and curriculum improvements
• Participate in planning and delivering holiday programmes

Requirements: 

• Have past experience in teaching Science
• Understanding in MOE primary / secondary school syllabus for your Science.
• Degree Holder (Science Degree Chemistry/Life Science/ Engineering / Teaching)