Total 2,514 Science / R&D / Research job vacancies

Responsibilities:

•             Providesassistance to the research team

•             Screensand recruits suitable patients to participate in the research project

•             Briefspatients on research background and rationale and to obtain their consent ofparticipation

•             Collectsdata from patients' medical records and research statistics

•             Helpsdocument adverse events / reactions that arise

•             Performsphlebotomy and venepuncture when required

Requirements:

•             MinimumDegree/ Diploma in Nursing

•             Min 3years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume inMS Word to

nurse@recruitexpress.com.sg

Anthea Lim

Outsourcing Team

Company Reg. No. 199601303W

EA Licence No. 99C4599

Notes :

•             Locationin the West

•             OvernightShift

•             On JobTraining Provided for Research field

Job Description:

•        To screen study participants in accordance withregulatory guidelines and ethical standards.

•        To conduct informed consent discussions andensure participants understand the study's requirements.

•        To monitor patient progress and collect dataduring clinical trials, ensuring accurate documentation.

•        To administer study-related interventions as perprotocol, including medications and treatments.

•        To conduct assessments and follow-ups withparticipants, addressing any concerns and providing education.

Requirement:

•        Valid SNB & BCLS required

•        Diploma/Degree in Nursing

•        Able to perform IV Cannulation and Phlebotomy

Interested candidates please send a copy of your resume inMS Word to

Valerie@recruitexpress.com.sg

EA Personnel:  ValerieYong Kian Fung (R1103704)

Company Reg. No 199601303W

EA Licence No. 99C4599

MetaQuest (MQ) is a premier Science enrichment learning brand under The Write Connection Group in Singapore, delivering structured programmes for Primary 3 to 6 students.

Our programmes utilise an effective experiment-based pedagogy to help students achieve breakthroughs in their understanding and performance in Science. Lessons are conducted both in-centre and online, incorporating live teacher demonstrations, guided discussions, and hands-on experiments to engage students meaningfully.

About the role

We are looking for a Science Teacher (Primary) to deliver engaging and effective science lessons for P3–P6 students.

This role focuses on strong lesson delivery, student understanding, and contributing to a consistent and high-quality learning experience.

Key Responsibilities

• Teach 10 to 12 classes per week including covering classes where required. Single weekend contract available.
• Deliver structured and engaging science lessons using the centre’s curriculum and teaching approach
• Explain concepts clearly and guide students in applying answering techniques
• Monitor student understanding and address learning gaps during lessons
• Mark students’ work, track their progress, and provide constructive feedback
• Maintain a safe, focused, and positive learning environment
• Build rapport with parents and provide updates on student progress termly
• Support trial classes and centre-level activities
• Participate in team meetings and professional development sessions

What We’re Looking For

• Degree in Science or related field (MOE/NIE-trained preferred)
• Minimum 2 years of teaching experience in primary science following MOE syllabus
• Strong subject knowledge with clear and structured explanation style
• Able to engage students and manage classroom effectively
• Responsible, consistent, and organised in lesson preparation and marking
• Open to feedback and continuous improvement
• Willing to adopt the Company's teaching approach and pedagogy
• Good interpersonal and communication skills

Why Join Us:

• Small class sizes (up to 12) with focus on quality teaching
• Structured curriculum and teaching approach
• Supportive environment with opportunities for growth
• Opportunity to be part of a developing science programme

Staff Benefits:

• Comprehensive Medical and Dental benefits
• Birthday and Marriage leave
• Flexi Leave upon completing 1 year of service.
• Monthly Birthday celebration
• Team Bonding Activities
• Exclusive Staff discount for TWC/ MQ lessons
• Exclusive Staff discounts with various participating merchants

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Job Responsibilities:

• Literature review of existing methods and models

• Identify the weaknesses of existing models

• Propose and develop state-of-the-art methods to overcome existing problems.

• Train and evaluate the models and systemically compare them with recent models.

• Prepare papers and reports.

• Develop systems based on the developed models for agencies/commercial partners

• Supervise junior researchers and master students

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge of deep learning, specifically, foundation models, diffusion models is a must.
  1) For image/video watermarking: In depth knowledge of AI editing methods and property of generative models.

2)For video processing: In depth knowledge of open object detection, video summarization, key-frame extraction.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

• A strong publication record at top AI conferences or journals, such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, TPAMI, TIP, TIFS, and TMM

• Preferably publications related image/video watermarking or video processing

• Strong software implementation skills.

• Preferably 4 years+ research experience, including PhD study.

The Smart Nation TRANS Lab @ School of Electrical and Electonic Engineering, NTU is about innovation and using technology to improve lives, create economic opportunity, and societal value for Singapore. Our vision is to become a leading centre of excellence for translational R&D in areas such as information and communication engineering.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

Our lab is seeking to hire a responsible researcher who can carry out latest AI research for active noise control. We are looking for a meticulous researcher who is familiar with acoustic signal processing and edge AI and able to translate research results into proof-of-concept prototypes that can be showcase to the industry. His/her role will focus on acoustic measurements, data collection, AI coding and real-time implementation.

Key Responsibilities:

• To conduct comprehensive acoustic measurements, build datasets for AI supervision

• Integrate signal processing into physics-informed AI models

• Optimize and deploy them on edge hardware for real-time processing

• Validate their feasibility through experiments, and publish the research findings.

Job Requirements:

• A Master’s in acoustic signal processing or a related field

• At least 3 years of hands-on research experience, familiarity with ISO/ITU standards

• Strong communication skills, proficiency in Python, acoustic measurement and analysis, competence in visualization, LabVIEW and C programming

• Ability to work independently, manage tight timelines, collaborate effectively, and build rapport with stakeholders.

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

Responsibilities:

·       Develop product in accordance to food regulations, food safety standard and country standard policy

·       Participate in related R&D activities to create potentially profitable new products

·       Responsible for R&D Projects assigned and managing their progress to meet the targeted deadline

·       Formulation of recipes

·       Evaluate raw materials

·       Conduct shelf life stability study

·       Prepare reports and relevant documents as requested and compliance to ISO standard

·       Involved in product scale up and assist in product technology transfer

·       Assist in Artwork Checking

·       Lab maintenance and calibration of equipments

·       Provide technical support for product troubleshooting

·       Provide technical support to relevant sales, customers and other related departments

Qualifications:

-      Diploma / Bachelor in Food Technology or other Applied Science

-      Minimum 2 - 3 years of relevant working experience in Food industry, preferably in beverage industry and
involved retort process

-      Knowledge in HACCP, GMP, Halal and other food safety regulations will be an added advantage

-      Independent and able to work with minimal supervision

-      Team player within itiative and good communication skill

-      Pro-active in seeking solutions and problem solving skills

-      Proficient in Microsoft Office (Word, Excel, PowerPoint)

[Internship Period: June to December]
We are seeking a motivated and meticulous laboratory intern to join our dynamic team. This internship will provide you with valuable hands-on experience in a laboratory setting and the opportunity to contribute to our ongoing research and development projects.

• Conduct bench scale extraction and purification experiments as a feasibility check before pilot testing
• Perform characterization analysis of samples before and after extraction, using various analytical equipment such as GC, GC-MS, Headspace GC, ICP-MS, HPLC, Karl Fischer titrator, UV-vis spectrophotometer, density meter, etc
• Follow safety protocols and maintain a clean and organized laboratory environment

Requirements

• Students from Chemical Engineering preferred but any chemistry Major welcomed.
• Student application preferred
• No experience required

• Develop architectural, structural, or MEP models using Revit, Navisworks, ArchiCAD, or Tekla per project BIM Execution Plan
• Perform clash detection and resolve conflicts between disciplines. Attend BIM coordination meetings
• Generate 2D drawings, shop drawings, and as-built models from the 3D model
• Follow project BIM standards, naming conventions, LOD requirements, and ISO processes
• Input and maintain model data/parameters for quantity take-off, 4D scheduling, and 5D costing
• Work with architects, engineers, consultants, and contractors to update models based on RFIs and design changes
• Audit models for accuracy, completeness, and compliance before submission

At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are seeking a highly motivated individual with a solid background in software engineering, machine learning or/and AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.

Role Overview:

As an Analyst, AI/ML, you will play a crucial role in the development and implementation of cutting-edge Generative AI solutions that address significant business challenges. This role focusses on hands-on implementation, rapid prototyping, and collaboration with cross-functional teams to deliver innovative solutions that address real business challenges. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.

Responsibilities

• Develop and implement Proof of Concepts (PoCs) prototypes for AI/ML and Generative AI solutions, ensuring alignment with business objectives.
• Write clean, efficient, and well-documented code for data processing, model training, and deployment.
• Collaborate with the Technology team to integrate solutions into our existing systems and platforms.
• Conduct experiments to evaluate model performance and optimize algorithms for scalability.
• Stay abreast of the latest trends in AI/ML and actively share knowledge and insights to contribute to the collective growth and technical proficiency of the team.
• Collaborate with the Technology team to integrate solutions into our existing systems and platforms, enhancing functionality and user engagement.
• Actively participate in technical discussions and forums across Amex

Qualifications

• Advanced degree (Master/ PhD) in quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
• Strong programming skills in at least one language (Python, Java, C++, etc.)
• Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and data processing libraries
• Extensive experience in machine learning, NLP and Generative AI, with a demonstrated ability to build scalable prototypes from inception to solution.
• Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects on real-world problems.
• Solid understanding of Large Language Models and practical experience with Generative AI
• Data processing skills such as SQL and BigQuery is a plus.
• Strong ability to translate real-world problems to data science problems.
• Excellent communication and collaboration skills, with the ability to collaborate effectively with both technical and non-technical teams.

Academic Teacher (Further Mathematics)

We are seeking a passionate and dedicated full-time Further Mathematics Teacher to join Furen International School’s high school faculty. The successful candidate will be responsible for teaching and guiding international learners in Further Mathematics, supporting students who are pursuing advanced mathematical pathways. The teacher will play a key role in preparing students for academic examinations such as Cambridge IGCSE Additional Mathematics, CIE A-Level Mathematics, and CIE A-Level Further Mathematics, helping them build strong analytical and problem-solving skills.

Key Responsibilities

•Plan, prepare, and deliver engaging and structured Further Mathematics lessons aligned with Cambridge IGCSE and CIE A-Level syllabi for Grade 11 and 12 students.

•Teach advanced mathematical concepts clearly and effectively, adapting instruction to suit students with strong mathematical aptitude.

•Prepare assessment materials such as tests, quizzes, assignments, and mock examinations, and mark student work accurately and fairly.

•Support students in developing advanced problem-solving, logical reasoning, and mathematical proof skills.

•Monitor student progress closely, identify conceptual gaps, and provide targeted academic support or enrichment where necessary.

•Prepare students thoroughly for external examinations, including exam techniques, time management, and problem interpretation.

•Maintain a professional, disciplined, and motivating classroom environment that encourages academic excellence.

•Participate in departmental meetings, curriculum planning, and professional development activities as required.

Job Requirements

•Bachelor’s degree in Mathematics, Applied Mathematics, Engineering, Physics, ora closely related discipline.

•Strong academic background in A-Level Mathematics and Further Mathematics is highly preferred.

•Fresh graduates or final-year undergraduates with strong academic results are welcome to apply.

•Strong passion for teaching advanced mathematics and helping high-performing students achieve their full potential.

•Excellent communication and interpersonal skills, with the ability to explain complex concepts in a clear and structured manner.

•Ability to plan lessons independently, manage classroom dynamics, and maintain high academic standards.

•Familiarity with Cambridge IGCSE, CIE A-Level Mathematics, and CIE A-Level Further Mathematics syllabi is a strong advantage.

•Prior teaching, tutoring, or mentoring experience (formal or informal) will bean added advantage but is not mandatory.

Working Hours & Benefits

•Monday to Friday, 9:00 AM – 6:00 PM (excluding public holidays)

•Competitive salary commensurate with qualifications and experience

•Opportunities for professional development and career growth within the school

• Supportive academic environment with access to teaching resources and curriculum guidance

Position Purpose

• Carry out specific range of operation tasks within clearly defined SOP (standard operating procedures)

• Work independently and as a reliable team member, carrying out assigned task and know when to request for help or advice

Responsibilities

• Restaurant Operations

• Execute assigned area of responsibility (e.g. greeter, runner, bartender, cashier) based on SOP

• Set up restaurant for service day, which include but not limiting to checking on availability of food item and special menu, guest reservation status, service area set-up, cash register and payment machines

• Provide service to customers

• Execute proper cash management

• Preparation and serving of all drinks, beverages and dessert items

Restaurant Management & Planning

• Address customers’ complaints in accordance to guidelines and to escalate issues to supervisors when necessary

• Identify and report all potential problems and to provide recommendations pertaining to the provision of services, food quality and cleanliness

Quality Assurance & Control

• Comply with SOP and safety requirements

• Ensure quality of food is up to the prescribed standard

• Ensure safety and hygiene standards are maintained by inspecting and cleaning of all utensils and restaurant area

• Identify and report unsafe and/or non-compliant conditions and behaviors pertaining to personal and food safety

People Management

• Perform as a reliable team member and communicate clearly and audibly

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

We are looking for a Research Scientist to support the Principal Investigator and interdisciplinary research team in advancing impactful ageing-related research by conducting user-centered studies with senior populations, contributing to the design and evaluation of gamified and AI-enabled interventions, and analyzing behavioral and health outcomes. The role also aims to strengthen the quality, clarity, and impact of research outputs through academic writing, editorial support, training, and effective communication, while facilitating collaboration and ensuring alignment with high scholarly and publication standards.

Key Responsibilities:

• Work closely with the Principal Investigator (PI) and an interdisciplinary research team to support projects such as the Senior Gamification Study and the Frailty and Longevity Study.

• Conduct user research with senior populations, including interviews, surveys, and usability testing.

• Support the design, development, and evaluation of gamification elements, including digital adoption strategies and potential integration of AI-driven personalization.

• Analyze behavioral, engagement, and health-related outcomes across research projects.

• Contribute to academic writing, publications, and dissemination efforts across multiple projects.

• Provide guidance and editorial support for PhD theses, journal articles, conference submissions, and technical reports to ensure clarity, coherence, and high academic standards.

• Review and refine research outputs to ensure quality, consistency, and alignment with publication requirements.

• Develop and deliver training programmes and workshops on academic writing, technical communication, and professional presentation skills for researchers and students.

• Support the preparation of grant proposals, project documentation, and research reports for academic, industry, and funding stakeholders.

• Contribute to the development of best practices, guidelines, and resources to enhance research communication and publication quality within the team.

• Facilitate interdisciplinary collaboration by ensuring clear communication of technical concepts across diverse research and stakeholder groups, where relevant.

Job Requirements:

• PhD degree in English, Communication, Education, or a related discipline, with substantial experience supporting academic or technical research environments (e.g., engineering, IT, or science domains).

• Experience in user research, behavioral studies, or experimental design

• Proven ability to design, lead, and deliver advanced training programmes and workshops in academic writing, technical communication, and research dissemination for diverse audiences, including senior researchers.

• Deep familiarity with international academic publishing standards, peer-review processes, and research funding requirements, with the ability to guide researchers strategically through the publication lifecycle.

• Strong capability to translate complex, interdisciplinary research into clear, compelling narratives tailored to academic, industry, and policy stakeholders.

• Strong communication and analytical skills

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

Job description

The Duke-NUS Cancer and Stem Cell Biology (CSCB) Programme studies the causes and treatments of cancer and related diseases. The CSCB research groups have diverse programmes in both basic cancer biology and clinical-translational studies, with a special emphasis on cancers that affect the Asian community in general.

A/Prof Nicholas Tolwinski is seeking a Research Fellow to conduct large-scale dataset analysis using machine learning approaches. Our dynamic and growing research group focuses on understanding signal transduction biology and developing interventions to improve health span and quality of life.

• Oversee data collection from molecular and cell biology experiments under the supervision of the Principal Investigator or his designate.
• Conduct RNA sequencing analysis and related bioinformatics workflows.
• Develop biological clock models and computational frameworks.
• Contribute to de novo antibody design using computational approaches.
• Support the development and application of large language models (LLMs) in research.
• Prepare and review research manuscripts; present findings at scientific meetings.
• Conceptualise new research ideas and develop independent research plans with potential for significant impact and funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Contribute to occasional educational / instructional activities and project management.
• Provide guidance and mentorship to undergraduate / medical students and research assistants.
• Maintain optimal experiment progress in the laboratory or in the research work undertaken.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD and/or post-graduate medical degree with at least 3 years’ relevant research experience and training.
• Entry-level candidates may also be considered.
• Strong knowledge of genetics and molecular biology techniques.
• Proven track record in the form of high-impact publications.
• Demonstrated progressive capability in research independence.
• Strong writing and critical thinking skills, as well as good communication and presentation skills.
• A team player who is able to prioritize, multitask, and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

• Oversee daily site activities and ensure work complies with drawings, specifications, and method statements
• Interpret construction drawings and resolve technical queries with consultants, architects, and subcontractors
• Conduct inspections, material testing, and QA/QC checks and ensure corrective actions
• Track work progress, update project schedules, and report to Project Manager. Prepare daily/weekly site reports
• Enforce site safety rules, conduct toolbox meetings, and ensure compliance with MOM, BCA, and WSH regulations
• Coordinate manpower, materials, and equipment. Verify deliveries and control wastage
• Maintain site diaries, RFIs, site instructions, as-built records, and variation claims
• Attend site meetings with client, consultants, and authorities

Established in 1992, the Wee Kim Wee School of Communication and Information (WKWSCI) is the only full-fledged communication school in Singapore and is a world-class centre of excellence with an international faculty, state-of-the-art research laboratories, and global institutional affiliations.

We are looking for a Research Assistant (1-year contract) to support a research project examining disinformation and propaganda operations across Southeast Asia and their impact on Singaporeans. The project will focus on the digital space, including social media and messaging apps.

Key Responsibilities:

• Collect, scrape, and clean large datasets from online platforms and media sources.

• Conduct computational analysis of disinformation and propaganda networks.

• Develop and apply data visualization techniques to present findings clearly.

• Collaborate on research design and methodology discussions.

• Co-author academic papers, conference submissions, and project reports.

• Support literature reviews and integrate computational insights into theoretical frameworks.

• Assist in preparing presentations and communicating findings to stakeholders.

• Assist in logistics, such as equipment purchasing and hiring student assistants

Job Requirements:

• Bachelor’s or Master’s degree in computer science, data science, information studies, or related fields.

• Strong programming skills (e.g., Python, R) for data scraping, cleaning, and analysis.

• Experience with data visualization tools and libraries (e.g., Tableau, matplotlib, ggplot).

• Familiarity with social media APIs and web scraping frameworks.

• Ability to run statistical and computational analyses (e.g., regression, network analysis, machine learning).

• Academic writing skills and willingness to co-author publications.

• Strong problem-solving skills and ability to work independently and collaboratively.

• Prior experience in computational social science or related projects is preferred; Entry level candidates with relevant skills are welcome to apply.

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