Total 326 Full-time science job vacancies in Malaysia

FUN LEARNERS’ SCHOOL - TAMPINES

Company Overview

Fun Learners’ School is an innovative institution that combines skill development with the joy of learning. Our success relies on a team with a unique mindset, dedicated to excellence in teaching and curriculum. Together, we create a foundation for growth through the achievements of both staff and learners.

https://funlearners.edu.sg/

Expertise & Experience You Stand To Gain:

1. Industry-leading strategies in curriculum and pedagogy

2. Online and hybrid class teaching

3. Teacher training

4. Potential for managerial roles

Requirements:

1. Passion for educating children

2. Recognised degree or diploma

3. Minimum 3 years teaching experience required

4. Competent in English, Math or Science (Primary) curriculum

Compensation:

$40-70 per hour depending on experience

Benefits:

* 1-3 days per week

* Part time available

Centre Operating Hours:

Mon to Fri 2pm-9pm

Sat & Sun 8.30am – 6pm

Closed on Public Holidays

Join a growing tuition centre in Hougang & Yishun. Teach English, Maths or Science in small group classes with curriculum support, parent engagement, and clear career progression.

About the Role
Our client is a well established tuition centre in the North East, offering MOE-aligned English, Maths, and Science programmes. This is a full time teaching role for educators who enjoy working with students in a structured tuition centre environment and are confident managing both classroom learning and parent communication.

Why This Role

• Small group teaching environment

• MOE-aligned curriculum and structured teaching support

• Clear development pathway for committed teachers

• Meaningful student impact with regular parent engagement

• Remote admin work may be done during non-teaching hours

What You’ll Do

• Teach English, Maths, or Science in accordance with the centre’s curriculum and MOE syllabus

• Conduct engaging small-group lessons and maintain a positive classroom environment

• Monitor student progress and provide feedback to students and parents

• Prepare lesson materials and support curriculum improvement where needed

• Manage class discipline, attendance, make-up arrangements, and marking

• Communicate regularly with parents, including class updates where required

What We’re Looking For

• Able to teach at least two subjects from English, Maths, or Science

• Strong familiarity with the Singapore MOE syllabus

• Minimum 1 year of group classroom teaching experience in a tuition, enrichment, or school setting

• Strong communication and classroom management skills

• Patient, dependable, and committed to student development

• Minimum A Levels / Diploma for primary-level teaching

• Minimum Bachelor’s degree for secondary-level teaching

Work Schedule

• 3 weekdays: 3:00pm to 9:00pm

• Saturday and Sunday: 9:00am to 6:00pm

• On-site at Hougang or Yishun

• Weekly meetings / training may be conducted online or on-site

Benefits

• Monthly salary: $3,000 to $3,500

• Medical and dental benefits

• Performance-based bonus

• Ongoing teacher development and training

• No regular classes during 1–14 June and 1–31 December; these are paid work periods under the centre’s academic calendar, and teachers may be scheduled for meetings, workshops, or other work-related duties during these periods

How to Apply
Apply via MyCareersFuture.
All applications will be handled in confidence by First Konnection Pte. Ltd.
EA Licence No: 22C1307 | EA Reg No: R23111820

The Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment.

The role will focus on application of smart contracts in energy applications. The Blockchain Specialist will lead the design, implementation, and optimization of the platform’s blockchain infrastructure. This includes developing smart contracts, integrating Hyperledger Fabric and Avalon frameworks, implementing TEEs for confidential execution, and ensuring secure, tamper-proof dual-hash validation. The specialist will also oversee performance, scalability, and security of on-chain and off-chain operations.

Key Responsibilities

• Design and implement API connectors for IoT devices, metering infrastructure, SCADA, and DERMS platforms.

• Integrate the blockchain platform with corporate ERPs, billing systems, and financial institutions.

• Ensure secure, low-latency data exchange between on-chain smart contracts and off-chain systems.

• Develop data validation and reconciliation workflows to minimize disputes and errors.

• Support deployment of pilot projects (e.g., REIDS facility) and coordinate with DER operators.

• Collaborate with blockchain specialists, AI engineers, and regulatory teams to meet compliance requirements.

Job Requirements:

• Master’s in Computer Science, Electrical Engineering, or related fields.

• Experience with cloud platforms, microservices architecture, and real-time data pipelines.

• Strong problem-solving skills and ability to work across multiple stakeholders.

• Prior exposure to energy market operations, PPAs, or VPPs is a plus.

• Understanding of IoT integration, metering protocols (Modbus, MQTT), and DER operations.

• Knowledge of cryptography, consensus algorithms, and security best practices.

• Prior experience in energy markets or financial settlement systems is highly desirable

• Proven experience in systems integration and API development (REST, gRPC, MQTT).

• Familiarity with IoT and smart metering protocols, SCADA/DERMS, and energy management systems.

• Knowledge of blockchain integration, smart contracts, and dual-hash validation workflows.

• At least 2 years of relevant experiences in similar role / technical hands-on experience in specific scope

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

The Senior Analytical Science & Technology Manager is accountable for end-to-end analytical science and QC laboratory quality systems governance, ensuring robust analytical execution, compliant laboratory systems, and sustained inspection readiness in support of API manufacturing. 

This role integrates Analytical Sciences & Technology (AS&T) leadership with QC Quality Systems and Laboratory Systems ownership, providing a single point of accountability for analytical method lifecycle management, laboratory investigations, data integrity, and computerized laboratory systems. 

The incumbent ensures that analytical methods, laboratory processes, and core QC systems (e.g. LIMS/GLIMS, Empower, Lab X) are scientifically sound, compliant, effectively governed, and fit for routine operations, investigations, and regulatory submissions. Acting as both technical authority and QC systems owner, the role partners closely with Manufacturing, QA, Global Analytical functions, and Digital teams to deliver Right First Time (RFT) outcomes and operational excellence. 

Responsibilities

1. Analytical Sciences & Technology (AS&T) Leadership 

• Lead all Analytical Method Transfer Exercises (AMTE) for APIs transferring into, within, and out of the site. 
• Own the analytical method lifecycle, including development, validation, verification, compendial review impact assessments, and robustness improvements. 
• Ensure analytical approaches align with ICH guidance, PQS, and site SOPs. 
• Provide SME oversight for analytical troubleshooting, method failures, and complex laboratory investigations. 

2. QC Quality Systems & Laboratory Systems Ownership 

• Own and govern QC laboratory quality systems, including:  
• Deviations, investigations, and root cause analysis 
• CAPA definition and effectiveness 
• Data Integrity governance 
• SOP lifecycle management 
• Change management impacting analytical methods and laboratory systems 
•  Act as system owner / business process owner for core QC laboratory systems, including:  
• LIMS / GLIMS (sample management, result reporting, data integrity) 
• Empower Chromatography Data System (method control, data review, user access, audit trail oversight) 
• Ensure systems are:  
• Qualified and maintained in a validated state 
• Appropriately governed for user access, data integrity, and change control 
• Fit for business use and inspection ready 

3. Data Integrity & Compliance Governance 

• Establish and maintain strong Data Governance and Data Integrity controls across analytical and QC systems. 
• Ensure compliant use of LIMS/GLIMS, Empower, and associated analytical platforms in line with:  
• cGMP, ALCOA+ principles 
• PQS and site procedures 
• Regulatory expectations (e.g. FDA, EMA) 
• Serve as the QC Systems escalation point for audits and inspections involving laboratory systems, data integrity, and analytical practices. 

4. Investigation & Manufacturing Support 

• Provide expert analytical and systems input into:  
• Manufacturing deviations 
• Laboratory OOS/OOT events 
• System related data integrity issues 
• Customer complaints requiring analytical assessment 
• Ensure investigations are scientifically robust, risk based, and inspection defensible. 

5. Operational & Manufacturing Interface 

• Support routine API manufacturing by providing real-time analytical expertise to Value Stream Teams (VSTs). 
• Ensure analytical and system readiness for:  
• Cleaning validation 
• Stability programs 
• New product introductions 
• Partner with QA, Manufacturing, Validation, and Digital teams to align analytical execution, systems capability, and regulatory submissions. 

6. Project, Resource & Financial Management 

• Develop and manage integrated project plans covering:  
• Analytical method transfers 
• Validation programs 
• QC systems improvements and digital initiatives 
• Balance project and routine operational demand through capacity planning and prioritization. 
• Co-own QC laboratory operating budget and analytical systems capital planning (e.g. Empower upgrades, LIMS enhancements). 

7. Continuous Improvement & System Enablement 

• Drive Right First Time (RFT) behaviors across analytical execution and QC systems. 
• Lead continuous improvement initiatives leveraging:  
• Lean, Six Sigma 
• SPC and trending tools 
• System harmonization and standardization 
• Promote effective use of laboratory systems to improve efficiency, compliance, and data reliability. 

8. People Leadership & Capability Building 

• Lead, coach, and develop AS&T and QC Systems teams to build sustainable analytical and systems capability. 
• Fulfil First Line Leader (FLL) responsibilities, including:  
• Coaching and performance management 
• Visible GMP presence 
• Realtime issue escalation 
• Accountability for Data Integrity behaviors 
• Actively role model a strong quality, compliance, and ownership culture. 

Supervision

• The incumbent is responsible for 2-5 direct reports and 3-8 indirect reports.

Education

• Min. Bachelor or Master or Ph.D. Degree in Science (Chemistry preferred), Pharmaceutical Sciences or related Life Sciences.

Experiences

• Minimum 8 years of experience in pharmaceutical manufacturing or QC, AS&T, or R&D laboratory environments within regulated industries.
• Minimum 5 years in a leadership/supervisory position of professional staff previously or demonstrated capability to successfully lead large teams.
• Governance experience with LIMS/GLIMS, Empower, and analytical data systems.
• Experience in an API manufacturing plant is preferred.
• Extensive knowledge of GMP compliance requirements for Quality Control Laboratories is a must.
• Successful track record of continuous improvement, development and/or implementation of best practices in Quality Control Laboratories.

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.

Key Responsibilities:

• Lead the design, implementation, and evaluation of the project’s core technical components in expert-in-the-loop agentic AI for manufacturing.

• Develop process-centric AI methods and software tools for BPMN modelling, Petri/CPN formalisation, process mining, conformance checking, and token-based what-if analysis.

• Build and integrate LLM-enabled multi-agent components for expert elicitation, structured questioning, explanation, and knowledge update workflows.

• Design and maintain semantic / causal knowledge graph and provenance mechanisms for validated write-back of rules, parameters, and process knowledge.

• Conduct experiments, benchmarking, and technical validation on manufacturing control-tower and process-design use cases, including performance overlays and policy evaluation.

• Work closely with project investigators, collaborators, and domain experts to translate operational requirements into concrete technical modules and research deliverables.

• Prepare technical reports, research publications, software artefacts, and presentations arising from the project.

• Support project coordination, documentation, milestone tracking, and supervision of junior research personnel or students where required.

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 relevant to the project domain.

• 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.

We regret that only shortlisted candidates will be notified.

Opportunity for Bachelor's Degree / Master's Degree Holders that eager to pursue a PhD while simultaneously maintaining a full-time position in the industry.

• Fully-Funded PhD Positions – Synthetic Data Generation
• Fully-Funded PhD Positions – Agentic AI & Edge Computing
• Fully-Funded PhD Positions – Small Multimodal Models

Reolink via Industrial Postgraduate Programme (IPP)

• We currently have three research topics available for Postgraduate Students interested in exploring these opportunities.

Reolink is a leading AI video security camera firm based in Singapore, driving innovation in intelligent visual technology for both home and business. Founded in 2009, our products are trusted by millions of users across more than 110 countries. At the forefront of smart surveillance, Reolink develops cutting-edge unified AI systems—such as Reon Eura—engineered to deliver superior on-device object recognition, predictive risk assessment, and intelligent contextual analysis. We are committed to pushing the boundaries of edge computing, computer vision, and autonomous AI to create the next generation of reliable, user-centric security applications.

Programme Structure (IPP)

Successful candidates will be full-time salaried employees at Reolink (the partnering company) while simultaneously pursuing full-time graduate studies (PhD) at NTU & NUS.

This unique arrangement offers:

• Competitive monthly salary + full PhD tuition coverage.
• Hands-on industry experience alongside academic research.
• Joint supervision by NTU / NUS faculty and Reolink R&D leaders.
• Direct application of research to real-world AI and computer vision products.

Requirements for Joining Industrial Postgraduate Programme (IPP)

• Candidates must be strong in software engineering
• Bachelor's Degree or Master's Degree in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. 
• Excellent programming skills ( Python, C++ and deep learning frameworks such as PyTorch / TensorFlow).
• Solid understanding of software design, system integration, and deployment best practices.
• Strong analytical and mathematical foundation.

Remarks:

• 5 Work Days, 8.30am-5.30pm / 9am-6pm
• Office Near to Kaki Bukit MRT, Singapore
• Medical Benefits Provided
• Entitled to Yearly Bonus & Performance Bonus

Opportunity for Bachelor's Degree / Master's Degree Holders that eager to pursue a PhD while simultaneously maintaining a full-time position in the industry.

• Fully-Funded PhD Positions – Synthetic Data Generation
• Fully-Funded PhD Positions – Agentic AI & Edge Computing
• Fully-Funded PhD Positions – Small Multimodal Models

Reolink via Industrial Postgraduate Programme (IPP)

• We currently have three research topics available for Postgraduate Students interested in exploring these opportunities.

Reolink is a leading AI video security camera firm based in Singapore, driving innovation in intelligent visual technology for both home and business. Founded in 2009, our products are trusted by millions of users across more than 110 countries. At the forefront of smart surveillance, Reolink develops cutting-edge unified AI systems—such as Reon Eura—engineered to deliver superior on-device object recognition, predictive risk assessment, and intelligent contextual analysis. We are committed to pushing the boundaries of edge computing, computer vision, and autonomous AI to create the next generation of reliable, user-centric security applications.

Programme Structure (IPP)

Successful candidates will be full-time salaried employees at Reolink (the partnering company) while simultaneously pursuing full-time graduate studies (PhD) at NTU & NUS.

This unique arrangement offers:

• Competitive monthly salary + full PhD tuition coverage.
• Hands-on industry experience alongside academic research.
• Joint supervision by NTU / NUS faculty and Reolink R&D leaders.
• Direct application of research to real-world AI and computer vision products.

Requirements for Joining Industrial Postgraduate Programme (IPP)

• Candidates must be strong in software engineering
• Bachelor's Degree or Master's Degree in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. 
• Excellent programming skills ( Python, C++ and deep learning frameworks such as PyTorch / TensorFlow).
• Solid understanding of software design, system integration, and deployment best practices.
• Strong analytical and mathematical foundation.

Remarks:

• 5 Work Days, 8.30am-5.30pm / 9am-6pm
• Office Near to Kaki Bukit MRT, Singapore
• Medical Benefits Provided
• Entitled to Yearly Bonus & Performance Bonus

We Are Hiring Science Teaching Specialists for our Expanding Centre

We are looking for passionate Science educators to join our team. If you believe in empowering students through meaningful education, we would love to hear from you!

Who We’re Looking For:

✅ Enthusiastic and innovative Science educators

✅ Strong communication and collaboration skills

✅ Ability to create an engaging and inclusive learning environment

✅ Relevant qualifications and experience

Why Join Us?

After School Enrichment Teacher 

Subject: English language / Maths / Sciences (Preferably can teach at least two subjects)
Location: Bukit Timah Plaza,  Thomson Plaza, Parkway Centre (Discuss the location during the interview but you will need to travel to multiple Centres when needed) 
Working days and time: Monday to Friday [During school term: 9.30am-7pm / During school holidays: shifts between 7am-7pm]
Salary: $2500-$3500

Job Description

A. Student Care

• Support the daily operations of the centre, including both administrative and teaching duties. 
• Ensure customer care experience for both prospective and existing clientele (from handling enquiries and collecting payments). 
• Ensure the overall safety of the learning environment•
• Prepare progress reports for students on a termly basis

B. Holistic Enrichment

• Prepare materials and deliver enrichment lessons for students on designated days. 
• Plan and facilitate special events and/or excursions during MOE-scheduled school holidays. 

C. Academic Teaching

• Deliver lessons for assigned classes (in-house curriculum provided). 
• Effectively utilise teaching materials to create a stimulating and engaging learning environment. 
• Mark and grade students’ assignments with value-added feedback. 
• Perform required classroom administration responsibilities. 
• Connect with students' parents through regular written and/or verbal feedback. 
• Participate in level meetings/subject-sharing sessions

Job Requirements:

• Must be able to teach one of the subjects from P1 to P6 (English language / Mathematics / Science). 
• Bachelor's degree or equivalent. 
• Familiar with latest MOE syllabus. 
• At least 2-3 years of teaching experience. 
• Have experience teaching in group settings (of between 4 to 12 students).