Total 1,380 Full-time science rd research job vacancies in Hong Kong

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:

• 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

ESSENTIAL DUTIES AND RESPONSIBILITIES: 

• Identify, develop, and deploy AI use cases within AlMg Substrate manufacturing, targeting yield improvement, defect reduction, and equipment downtime minimization across Plate, Wash, and Polish processes.  
• Build predictive and prescriptive models using available internal AI tools on manufacturing process data extracted from MES, ERP, and IoT/sensor sources.  
• Apply statistical analysis techniques including SPC, DOE, Cpk analysis, hypothesis testing, and multivariate analysis to uncover KPIV-KPOV relationships in substrate manufacturing processes.  
• Develop and maintain end-to-end(Substrate-Media-HDD) analytics pipelines - from data extraction and preparation through model training, validation, and production deployment.  
• Create self-serve data dashboards and automated reports using Spotfire to support real-time Cpk, Yield, and SPC monitoring for the manufacturing line.  
• Support AI-driven root cause analysis for quality excursions, reducing manual investigation cycle time.  
• Provide engineering support for Substrate manufacturing process issues, applying data science tools to accelerate root cause identification and corrective action deployment.  
• Collaborate cross-functionally with Process, Quality, Test/FA, and Metrology teams to integrate analytics capabilities into existing engineering workflows.  
• Provide engineering support for Substrate manufacturing process issues, applying data science tools to accelerate root cause identification and corrective action deployment.  

This position is part of our Early Career program at WD. Our Early Career program is designed to support individuals beginning their professional career by providing the foundational training through a structured onboarding, mentorship, and development curriculum.

Project Planning & Execution

• Define and support the achievement of project success criteria including time, cost, quality, and performance.
• Develop and maintain detailed project plans and schedules.
• Monitor project finances and ensure alignment with budgetary targets with the project quantity surveyor team.
• Manage change control processes and ensure proper documentation.
• Team Leadership & Coordination
• Lead and facilitate cross-functional project teams.
• Ensure effective communication and collaboration across all stakeholders.
• Manage the flow of project information through meetings and written communications.

Governance & Reporting

• Maintain effective project governance, processes, and systems.
• Prepare formal project progress reports and other documentation.
• Ensure compliance with quality, safety, health, and environmental standards.
• Client & Stakeholder Engagement
• Act as a key point of contact for clients and consultants throughout all project stages.
• Identify opportunities to develop new business with existing clients and escalate to senior management.
• Ensure key learnings and project data are captured in internal knowledge systems.

Project Support & Coordination

• Assist in the delivery of project management services throughout the project lifecycle.
• Conduct background research, data collection, and benchmarking to support decision-making.
• Establish and maintain effective project documentation and reporting systems.
• Support the development and updating of detailed project plans and schedules.

Monitoring & Reporting

• Track project progress and performance indicators; prepare updates and reports.
• Manage change control processes and maintain accurate change logs.
• Draft formal progress reports and presentations for stakeholders.
• Stakeholder Engagement
• Liaise with clients, contractors, consultants, and other stakeholders.
• Attend project meetings and produce accurate and timely meeting minutes.
• Support communication flow between internal and external teams.

Project Planning & Execution

• Define and support the achievement of project success criteria including time, cost, quality, and performance.
• Develop and maintain detailed project plans and schedules.
• Monitor project finances and ensure alignment with budgetary targets with the project quantity surveyor team.
• Manage change control processes and ensure proper documentation.
• Team Leadership & Coordination
• Lead and facilitate cross-functional project teams.
• Ensure effective communication and collaboration across all stakeholders.
• Manage the flow of project information through meetings and written communications.

Governance & Reporting

• Maintain effective project governance, processes, and systems.
• Prepare formal project progress reports and other documentation.
• Ensure compliance with quality, safety, health, and environmental standards.
• Client & Stakeholder Engagement
• Act as a key point of contact for clients and consultants throughout all project stages.
• Identify opportunities to develop new business with existing clients and escalate to senior management.
• Ensure key learnings and project data are captured in internal knowledge systems.

Job Responsibilities:

• Contribute to the conceptualisation and design of research studies (including primary studies, desk review, etc.) on social issues relating to children and families, under the supervision of the Head of Research and Research Advisors.
• Candidate will be expected to execute responsibilities relating to data collection, data cleaning and analysis.
• Conceptualise the dissemination plan of studies together with Advocacy Unit, contribute to the dissemination plan including writing up and presenting findings to relevant stakeholders.
• Work collaboratively with social service practitioners to evaluate programmes and services.
• Responsibilities include supporting the development of concept papers (TOC, logic model, needs analysis), proposal of suitable frameworks, methods and tools for programme evaluation, analysis of results, and contributing to reports detailing findings and recommendations.
• Contribute to other team efforts, such as research newsletters, research grant, organizing of events.
• Other tasks assigned by supervisor.

Requirements:

• Honours Degree in Psychology / Sociology / Social Work or related discipline
• Past work experience is preferred
• Past research experience is required
  i) Past research experience should be evident (e.g. RA, internship, thesis, peer-reviewed research publications)
  ii) Candidate should have sound statistical knowledge and be proficient in using statistical software such as Statistical Package for the Social Sciences (SPSS) to conduct data analysis
  iii) Prior experience in conducting programme evaluation and knowledge of social service sector preferred but not necessary
• Keen interest in conducting research on social issues relating to children and families
• Willing to undertake different types of work
• Good written and verbal communication skills
• Good interpersonal skills
• Self-motivated and able to work independently to manage multiple tasks simultaneously
• Be comfortable working collaboratively in a team and in liaising with multiple parties

We are seeking to appoint a Research Associate to support research in cybersecurity, trustworthy AI, and large language model security. The successful candidate will contribute to projects related to privacy-preserving AI interactions, trustworthy knowledge acquisition, and secure information processing in security-sensitive AI systems. The role will involve assisting in the design, implementation, and evaluation of methods for reducing privacy leakage, mitigating adversarial risks, and improving the security and trustworthiness of LLM-based systems. The candidate will also support the construction of research benchmarks, experimental evaluation, and the preparation of high-quality research publications. This position will contribute to NTU’s mission of advancing secure and trustworthy intelligent systems through interdisciplinary research in cybersecurity and artificial intelligence.
 

Key responsibilities:

• Conduct research on cybersecurity, trustworthy AI, and large language model security, with a focus on privacy-preserving AI interactions and secure information processing.

• Design, implement, and evaluate methods for trustworthy knowledge acquisition in LLM-based systems, including approaches to reduce privacy leakage and mitigate adversarial risks.

• Develop learning-based and evaluation-driven approaches to improve the security, reliability, and trustworthiness of AI systems in security-sensitive scenarios.

• Construct experimental platforms, benchmarks, and datasets for evaluating LLM security, privacy protection, and trustworthy AI applications.

• Conduct empirical experiments, performance analysis, and ablation studies to validate proposed methods and support reproducible research.

• Prepare and co-author high-quality research papers, technical reports, and project documentation, and collaborate with academic and industry partners on related research projects.

Requirements:

• A Master’s degree in Computer Science, Cyber Security, Artificial Intelligence, or a related discipline.

• Research or applied experience in cybersecurity, trustworthy AI, large language model security, privacy-preserving AI, or related areas.

• Experience with LLM-based systems, trustworthy knowledge acquisition, information retrieval, query rewriting, or AI security evaluation.

• Familiarity with privacy leakage, adversarial risks, secure information processing, and trustworthiness evaluation in AI or LLM-based systems.

• Experience in designing and conducting empirical experiments, including benchmark construction, dataset preparation, performance evaluation, and ablation analysis.

We regret to inform that only shortlisted candidates will be notified.

Role Overview:

We know stepping into teaching can feel overwhelming — that’s why at Achievers Dream, we invest heavily in your success from Day 1.

• You’ll start with our proven, research-backed 5-Stage Teacher Training System
• Receive step-by-step guidance from experienced mentors
• Learn exactly how to deliver effective lessons and guide students — no guesswork
• Progress at a structured pace, with constant support and feedback

Once you’re confident and ready, you’ll officially step into your role as a Science Teacher, where your main focus will be:

• Teaching upper primary / lower sec students in group class settings

• Conducting both classroom lessons and hands-on lab sessions in our NEA-approved Chemistry Lab

• Helping students truly understand Science — not just memorise

• Focusing solely on teaching — with minimal admin work (our support team handles the backend)

We’re looking for someone who is:


• Patient, reliable, and committed to students’ improvement

• Passionate about teaching — not interested in research or excessive admin

• Eager to grow, learn, and become a respected Science Specialist

• Someone who respects work life balance and giving 100% at work.
• Teaching or tutoring experience will be a bonus as training will be provided
• Detail-oriented in marking and student feedback
• Team player who is dependable and willing to help when needed

Work Schedule & Location

Outlets: Bukit Timah, Lorong Chuan, Kembangan

• Option 1: 4 weekdays (1:00pm–9:00pm) + 1 weekend (8:30am–6:30pm)
• Option 2: 3 weekdays (1:00pm–9:00pm) + 2 weekends (8:30am–6:30pm)

For interested applicants, kindly send your updated resume to us and we will contact you for a competency test and interview. We regret that only shortlisted candidates will be contacted.

Are you passionate about science and technology?

Do you enjoy working with laboratory instruments, engaging with customers, and helping researchers and industry professionals find the right solutions? If so, we would love to hear from you!

We are seeking a highly motivated Sales Specialist to join our Physical Science team. This is an exciting opportunity to work with cutting-edge scientific instruments and collaborate with researchers, laboratories, universities, and industrial customers across various sectors.

What You'll Be Doing

• Provide technical and product support for scientific and laboratory equipment within the Physical Science portfolio.

• Conduct product demonstrations, presentations, and training sessions for customers.

• Understand customer requirements and recommend suitable solutions to meet their research, testing, and analytical needs.

• Support the sales team in developing business opportunities and achieving sales objectives.

• Build and maintain strong relationships with customers, including research institutes, universities, government agencies, and industrial laboratories.

• Stay updated on industry trends, emerging technologies, and competitor activities.

• Work closely with principals and internal teams to ensure excellent customer experience and project execution.

What We're Looking For

• Bachelor's Degree in Physics, Chemistry, Materials Science, Engineering, or other related Physical Science disciplines.

• Strong interest in scientific instrumentation and laboratory technologies.

• Excellent communication and presentation skills.

• Customer-oriented with a passion for problem-solving.

• Ability to work independently and collaboratively within a team.

• Prior experience in scientific sales, application support, laboratory operations, or technical support will be an added advantage.

Why Join Us?

Work with innovative scientific technologies and world-renowned laboratory equipment.

Exposure to leading research institutions, universities, and industrial laboratories.

Continuous learning and professional development opportunities.

Collaborative and supportive work environment.

Strong career progression pathway in technical sales, product management, and scientific applications.

Make a meaningful impact by helping scientists, researchers, and engineers advance discovery and innovation.

If you are passionate about science and enjoy bridging technology with customer solutions, we invite you to join us and be part of a team that drives scientific excellence and innovation.

EA License No: 13C6305

Reg. No.: R1981808/JULIE RODRIGUES LUBRIN

For candidate who applied for the advertised position is deemed to have consented to us that we may collect, use or disclose your personal information for purpose in connection with the services provided by us

Job Responsibilities / 工作职责

Assist in planning and executing marketing activities to promote company products and services.
协助策划及执行营销活动，以推广公司产品及服务。

Conduct market research and collect customer feedback to understand market trends and customer needs.
进行市场调研并收集客户反馈，以了解市场趋势及客户需求。

Assist in developing marketing materials, including brochures, flyers, social media content, and promotional messages.
协助制作营销资料，包括宣传册、传单、社交媒体内容及推广文案。

Manage and update company social media platforms and assist in online marketing campaigns.
管理及更新公司社交媒体平台，并协助线上营销推广活动。

Communicate with customers, business partners, and suppliers to support marketing and promotional activities.
与客户、商业伙伴及供应商沟通，支持营销及推广活动。

Assist in organizing promotional events, roadshows, exhibitions, and other marketing activities when required.
根据需要协助组织促销活动、路演、展会及其他营销活动。

Monitor the effectiveness of marketing campaigns and prepare basic reports for management review.
跟进营销活动效果，并准备基本报告供管理层参考。

Support sales and customer service teams by providing marketing information and promotional support.
为销售及客服团队提供营销资料及推广支持。

Maintain customer database and assist in follow-up with potential customers.
维护客户资料库，并协助跟进潜在客户。

Perform other marketing-related duties assigned by the company or supervisor.
完成公司或主管安排的其他营销相关工作。

Requirements / 职位要求

Relevant experience in marketing, sales support, digital marketing, customer service, or business development is preferred.
有市场营销、销售支持、网络营销、客户服务或业务开发相关经验者优先。

Basic knowledge of marketing concepts, social media platforms, and promotional activities.
具备基本营销概念、社交媒体平台及推广活动相关知识。

Good communication and interpersonal skills.
具备良好的沟通能力及人际交往能力。

Able to work in a fast-paced environment and handle multiple tasks.
能够适应快节奏工作环境，并处理多项工作任务。

Creative, responsible, hardworking, and willing to learn.
有创意、工作认真负责、吃苦耐劳，并愿意学习。

Able to work independently and as part of a team.
能够独立工作，也能与团队良好配合。

Working Conditions / 工作条件

Working Hours: As per company schedule
工作时间：根据公司排班安排

The Cognitive and Brain Health Laboratory is a lab housed in Psychology, School of Social Sciences, Nanyang Technological University, Singapore. Our research makes use of multimodal neuroimaging to broadly study cognitive and brain health. For more details, please check out our webpage at https://cogbrainhealthlab.github.io/

We are seeking a Research Assistant to join a newly funded neuroimaging research project that aims to reverse brain ageing.

Key Responsibilities:

• Assist in recruitment of participants

• Administer neurocognitive tests and questionnaires to participants

• Assist with the preparation of manuscripts for publications

• Handle project related documentation and associated administrative tasks

• Perform other tasks as required by the Principal Investigator

Job Requirements:

• Good Honours Degree in Psychology from a recognised institution.

• Strong interpersonal, written and verbal communication skills

• Excellent organizational skills and able to work within given deadlines

• Candidates must be willing to commit for at least 1 year

Preferred requirements:

• Prior experience with neurocognitive assessments

• Prior experience working with the elderly in Singapore

• Proficiency in Mandarin (working mainly with Mandarin speakers) - essential for data analysis and communication with stakeholders

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%2C-AIDF/33495-en_GB/?st=4993B7046BEEBA984DA71E08B1EF737E0DBC9DA2

We regret that only shortlisted candidates will be notified.

Role Overview

We are looking for a motivated Research Assistant to support AIDF’s digital marketing, and programme outreach activities.

Key Responsibilities

Digital Marketing and Campaign Support

• Support the planning and execution of digital marketing campaigns across multiple platforms, including social media, email, website, and digital advertising channels.
• Assist in creating, scheduling, and publishing content for LinkedIn, website updates, newsletters, and other digital channels.
• Support campaign tracking, performance reporting, and basic analytics to evaluate campaign effectiveness.
• Coordinate with internal teams, faculty, partners, vendors, and designers to prepare marketing materials and campaign assets.
• Help maintain a consistent brand voice and professional image across AIDF’s digital channels.

Social Media and Content Support

• Manage day-to-day social media content posting and engagement, particularly on LinkedIn and other relevant platforms.
• Draft and refine social media posts, event highlights, programme announcements, and partner engagement content.
• Support content collection from events, programmes, faculty, students, alumni, and industry partners.
• Assist in developing simple visual assets, captions, short write-ups, and promotional materials.
• Support regular website updates, including programme information, event pages, news articles, faculty profiles, partner updates, and other content.
• Ensure website content is accurate, current, and aligned with AIDF’s branding and communication standards.

Academic and Programme Operations Support

• Provide administrative and operational support for academic programmes, workshops, seminars, and events when required.
• Assist with programme marketing, participant communications, registration tracking, logistics coordination, and post-event follow-up.
• Support the preparation of programme materials, reports, attendance records, feedback forms, and certificates where applicable.

Qualifications

• Degree in Marketing, Communications, Business, Media, or a related discipline.
• 1 to 2 years of relevant experience in digital marketing, social media marketing, content coordination, or communications.
• Good writing skills and the ability to draft clear, professional, and engaging content.
• Familiarity with social media platforms, especially LinkedIn.
• Basic experience with website content management systems would be an advantage.
• Basic understanding of email marketing, digital campaigns, or campaign analytics would be useful.
• Comfortable handling multiple tasks across marketing, communications, and programme support.
• Detail-oriented, organized, and able to follow through on operational tasks.
• Good interpersonal skills and the ability to work with faculty, colleagues, students, vendors, and external partners.
• Interest in fintech, AI, digital finance, or higher education would be an advantage.

Preferred Skills

Experience using tools such as Canva, LinkedIn, Mailchimp, WordPress, Google Analytics, or similar platforms.

Ability to support simple design work, content formatting, and digital asset preparation.

Prior experience in an education, research, technology, fintech, or professional services environment would be helpful.

Comfortable supporting events, workshops, and academic programme logistics.

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.

The Nguyen Lab (Principal Investigator: Thanh Ricky Nguyen) within the Cancer Discovery and Regenerative Medicine Program is a collaborative and innovative research group focused on uncovering how cells maintain internal quality control and how these processes break down in disease. Our research centers on the molecular mechanisms of autophagy and mitophagy, particularly in the context of aging, neurodegeneration, and cancer. We combine approaches in biochemistry, molecular biology, and cell biology with emerging experimental systems, such as advanced 3D cultures and in vivo models, as we build a versatile and evolving research platform to study disease-relevant biology.

For more details, please see Assistant Professor Nguyen’s profile and within the Cancer Discovery and Regenerative Medicine Program

We are looking for a motivated Research Assistant/Associate to join our collaborative research environment and support ongoing projects investigating autophagy and mitophagy in disease. The role involves performing experiments, analyzing data, and contributing to the development of new experimental approaches and model systems as the lab continues to grow.

Key Responsibilities:

• Maintain and develop cellular models, including mammalian cell culture and advanced systems such as stem cell–derived models and organoids

• Independently perform and analyze a wide range of molecular and cellular biology experiments, such as DNA cloning, western blotting, co-immunoprecipitation, gene perturbation approaches (e.g., CRISPR-based methods and viral systems), and related biochemical assays

• Conduct imaging-based experiments, including immunofluorescence and confocal microscopy

• Contribute to the development and validation of cellular models for studying autophagy, mitophagy, and cellular stress pathways

• Work closely with the Principal Investigator and lab members, including PhD students, to implement research plans and optimize experimental protocols

• Assist with laboratory operations and regulatory compliance, including contributing to the development of risk assessments (RAs), standard operating procedures (SOPs), and maintaining an organized lab environment

Required educational qualification, experience, skills and competencies (to delete / replace in following grey highlight, where applicable):

• Bachelor degree (for Assistant) or Master degree (for Associate) in Cell Biology, Molecular Biology, Biochemistry, or a related discipline

• Minimum of 1 year of hands-on laboratory experience in mammalian tissue culture, particularly adherent cell lines (e.g., HEK, HeLa, or similar systems)

• Experience with molecular and cellular biology techniques (e.g., DNA cloning, western blotting, or related assays)

• Experience with stem cell culture and/or organoid systems is strongly preferred; candidates with such experience will be prioritized

• Good written and oral communication skills, with the ability to document and present experimental findings clearly

• Demonstrated ability to plan and execute experiments with appropriate supervision, with strong problem-solving skills and attention to detail

• Excellent interpersonal skills, including the ability to work both independently and collaboratively in a research environment, with strong organizational and time management skills

• Entry-level candidates with relevant hands-on experience are welcome to apply