Total 2,238 Science / R&D / Research job vacancies in Overseas

 Primary Science Tutor 

Location: Upper Serangoon Rd

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)

Chin See Min Reg No. : R22107450

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

• Well Established Company

• Basic $5000 - $5500 + AWS + Variable Bonus

• Excellent Welfare and Benefits + Career progression

• Working location: Tuas (Company Transport Provided)

• Working day: Monday to Friday

• Working hours: 8am to 5pm

  
  

Job Responsibilities:

• Develop, evaluate, and optimize treatment and handling processes for existing, new, and unknown waste streams, ensuring technical feasibility and cost-effectiveness.

• Design and implement resource recovery processes from waste streams to enhance sustainability and value creation.

• Work closely with Sales, Marketing, and Operations teams to understand waste sources, identify treatment and recovery opportunities, support commercialization, and execute pilot trials.

• Identify, assess, and implement new technologies and processes, including collaboration with external partners (universities, research institutes, and technology providers).

• Establish and continuously improve laboratory capabilities, including process development and analytical methods to support R&D activities.

• Drive continuous improvement of existing operations through process optimization and introduction of alternative treatment methods.

• Ensure compliance with internal procedures, documentation standards, and all safety, health, and environmental requirements; maintain proper laboratory housekeeping.

• Support evaluation and development of handling procedures for high-risk and high-value waste streams.

• Contribute to new business development, including identifying opportunities, supporting new projects, and participating in facility planning and operations.

• Stay updated on industry trends and emerging technologies and proactively introduce relevant innovations into the company.

  
  

Job Requirements:

• Ph.D in Chemistry or Chemical Engineering with more than 5 years of experience in the area of specialty chemical manufacturing/applications, oil & gas or water treatment industry

• No colour blindness

  
  

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities

• Current and Expected salary

• Reason for leaving

• Date of availability

• Education background

  
  

We regret that only shortlisted candidates will be contacted.

LIONG ZHAO GUAN (R22107632)

EA Recruitment Pte Ltd

EA License No: 21C0492

Job Description

The project is related to exploration and application of artificial intelligence (AI) in design, analysis, discovery and validation of new ferroelectric and piezoelectric material for high-performance energy conversion or signal transmission functions. The materials particularly include ferroelectric and piezoelectric single crystals and thin films as demanded for producing competitive MEMES devices and ultrasonic transducers. The job scope covers design, growth, evaluation and analysis of ferroelectric and piezoelectric materials and related database generation for AI implementation, and relevant validation and demonstration.

Requirements:
• Ph.D in physics, material science, engineering; or a bachelor/master degree holder with expertise and skills related to data science (Scientist or Engineer position)
• Passion in creating new ferroelectric and piezoelectric materials, or application of AI in analyzing and discovering ferroelectric and piezoelectric materials.
• Any of R&D experience below: ferroelectric and piezoelectric characterization and analysis; data science, machine learning for design and validation of new materials; growth of piezoelectric single crystal; solid-state crystal growth; fabrication of ferroelectric thin films and ceramics.
• Good track record in technical publication, high performance record in university, or verifiable experience in the relevant areas as stated above.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

D MART LOGISTICS PTE. LTD. is seeking a Logistics Operations Coordinator to support daily logistics operations and delivery coordination.

Responsibilities:

• Coordinate daily delivery schedules and logistics operations.

• Monitor drivers and ensure timely deliveries.

• Liaise with customers and service providers.

• Prepare operational reports and maintain records.

• Handle route planning and delivery tracking.

• Resolve operational issues and customer enquiries.

• Ensure compliance with company procedures and service standards.

• Support business growth and logistics efficiency initiatives.

Requirements:

• Diploma or Degree qualification.

• Minimum 3 years of logistics, operations or coordination experience.

• Good communication and problem-solving skills.

• Proficient in Microsoft Office applications.

• Able to work independently and as part of a team.

Salary: SGD 6,000 to SGD 7,000 per month

Key Responsibilities:

• Teach IB/A-level/IGCSE Mathematics or Science (AA and AI, SL and HL levels) to students in international schools
• Develop and update engaging lesson materials aligned with the respective syllabus
• Guide students in preparing for exams and completing IB Internal Assessments (IA)
• Participate in academic planning and teaching team discussions
• Assist in managing our social media presence, particularly the math content on Xiaohongshu (RedNote)
• Provide content input to math-related posts, study tips, or highlights of student achievements
• Attend teacher meetings and contribute to teaching quality improvement

Requirements:

• Bachelor’s degree or higher in Mathematics, Science, or a related field
• Strong command of English and Mandarin (spoken and written)
• Prior experience teaching international curriculum is preferred
• IB Diploma graduates with a strong background in IB Mathematics are highly encouraged to apply
• Responsible, patient, and able to communicate effectively with students
• Familiarity with Xiaohongshu (RedNote) or a strong interest in content creation is a plus
• Ability to work independently and collaboratively in a team environment

Preferred Skills:

• Familiarity with online teaching tools and platforms.
• Experience in preparing students for university admissions, personal statements, or scholarship applications.

Benefits:

• Competitive salary or internship stipend.
• Opportunity to work in a nurturing educational environment.
• Professional development and career growth opportunities.
• Flexible working hours.

Both full-time and part-time positions are available.

Vaster Learning has helped hundreds of students make tangible improvements in their academic results. Our teachers are dedicated and have worked closely with our students to achieve their academic goals. The commitment to helping students reach their potentials has propelled each step of progress we’ve made. We aim at providing excellence in educational services in a variety of subjects.

Responsibilities

· Conduct 1-to-1 and group classes

· Adopt innovative teaching methods and create an engaging learning

experience for students

· Inspire and motivate students to excel in attaining their objectives for having tuition classes: be it exam preparation and academic improvement

· Monitor examinations

· Prepare and deliver lessons that facilitate active learning experiences

· Communicate clear objectives for students learning activities

 Requirements:

· A good university degree in Mathematics

· Familiar with Singapore MOE syllabus

· Passionate in teaching and inspiring teenagers

· High level of professional integrity and good work ethic

· A team player and a self-starter, open to feedback and willing to take on

new challenges.

· Flexible, able to manage change and ambiguity well and able to work

under tight deadlines.

· Relevant teaching experience (preferred)

· Adept in learning new educational tools and software where necessary

· Able to work on evenings and both weekends

Vaster Learning Pte Ltd, situated in the bustling business area of Novena, has emerged as a leader in providing both online and offline classes in a variety of subjects. By winning the support of many parents, it has gained tremendous recognition among the students. Our teachers are dedicated and have worked closely with our students to achieve their academic goals. We aim at providing excellence in educational services.

Responsibilities

· Conduct 1-to-1 online/offline (@Novena) lessons

· Conduct group online/offline (@Novena) classes

· Create an engaging learning experience for students

· Inspire and motivate students to excel in attaining their objectives for having tuition classes: be it exam preparation and academic improvement

· Monitor learning progress and periodical exams

· Prepare and deliver lessons that facilitate active learning experiences

· Communicate clear objectives for students learning activities

 Requirements:

· A good Diploma/Degree in Science (Chemistry/Biology)

· Familiar with IB programme

· Passionate in teaching and inspiring teenagers

· High level of professional integrity and good work ethic

· A team player and a self-starter, open to feedback and willing to take on new challenges.

· Flexible, able to manage change and ambiguity well and able to work under tight deadlines.

· Relevant teaching experience (preferred)

· Adept in learning new educational tools and software where necessary

· Able to work on evenings and weekends

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• A key member of the development team, building and enhancing key components for QRT
• A role with the potential to touch many aspects of electronic and algorithmic trading, backtesting, and data management systems
• Working with traders and quants to roll-out, support and run strategies
• Building and supporting new quantitative trading framework software
• Designing clean architecture and leveraging state of the art tools and components
• Bringing new ideas and experimenting with new technologies

Your present skillset

• 1-9 years’ professional experience
• Advanced skills in one or several programming languages
• Strong Python skills
• Very high standards in code quality and good development practices
• Knowledge of real-time systems, high performance computing and quantitative applications an advantage
• Strong team-player
• Experience working within a mature CI/CD process, DevOps experience
• Strong communication skills
• C++ or C# experience would be an asset

You will be part of the research team under the Heart Protection theme at the National Heart Research Institute of Singapore (NHRIS), National Heart Centre of Singapore (NHCS), dedicated to developing innovative strategies to prevent and treat heart injury. Our multidisciplinary group integrates cardiovascular biology, nanotechnology, drug delivery, disease modelling, and translational science, collaborating closely with clinicians, engineers, and scientists across NHCS and Duke–NUS to accelerate the development of therapies from bench to bedside. Our team culture values rigour, teamwork, innovation, and translational impact, offering a dynamic environment for scientific growth.

You will support ongoing research projects in therapeutic development and contribute to a range of molecular experiments and formulation work, including RNA synthesis, modification, and purification, as well as the preparation and optimisation oflipid nanoparticles (LNPs) and other delivery formulations. You will also conduct in vitro assays encompassing cell culture, molecular analysis, and characterisation, alongside in vivo validation work.

Beyond experimental responsibilities, you will maintain accurate laboratory records and ensure proper documentation throughout. You will support general lab operations — including reagent preparation, equipment maintenance, and purchasing — while working collaboratively as part of a multidisciplinary team.

Jobrequirements:

• Bachelor’s degree in chemistry/ Materials Science, Molecular Biology, Biomedical Science, or related fields

• At least 2 years’ experience either in RNA therapeutics/ RNA synthesis/ RNA biology, or in Chemical synthesis/ LNP delivery

• Strong hands-on laboratory skills and experimental troubleshooting ability

• Good communication and organisational skills

• Documented proof of:

(i) Measles (or MMR - Mumps, Measles and Rubella) vaccination or serological evidence of measles immunity; and

(ii) Tdap (Tetanus, Diphtheria and Pertussis) vaccination received within the last 10 years, as required for all healthcare workers under the Healthcare Services Act. Applicants without these vaccinations may apply if they commit to completing the required vaccination(s) before work commencement, upon successful job offer.

Job Description

• Ensures proper investigational product (IP) management which includes sourcing, receipt, storage, preparation, dispensing, labelling, inventory accountability, reconciliation, retention, destruction and documentation according to the study protocol

• Assists Clinical Research Technologists in maintaining proper functioning of all pharmacy equipment.

• Reviews and provides feedback during protocol development where applicable

• Reviews and updates Pharmacy local standard operation procedures as appropriate

• Provides coaching to Locum Pharmacists and Pharmacy Technicians/Assistants as needed on IP management and aseptic compounding

Requirements

• Singapore Registered Pharmacist

• Previous Hospital Pharmacy Experience

• Experience in working in cleanroom or manufacturing setting

• General GMP and GDP knowledge

Interested candidates please send in your resume to:

clinicalresearch@recruitexpress.com.sg

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Salary: up to $2400

Duration: 1 year
Working Days & Hours: Mon-Fri Office Hours

Location: Tuas

Job Description:
(a) Manages delivery of laboratory supplies (consumables, chemicals, and reagents) from Suppliers and to Customer’s stockrooms and points-of-use accordingly.

(b) Perform goods receipt in Enterprise Resource Planning (ERP) systems upon receiving of these laboratory supplies

(c) Be reactive to stock level adjustment and provide communication/feedback to customer based on usage and replenishment data to keep stock level updated.

(d) Stock check inventory supply ensuring products are not expired and at recommended stock level.

(e) Perform reliable delivery to customers at their working areas.

(f) Providing other site support inventory management services which support the laboratory operation as defined by service deliverables to customers.

(g) Ensure good housekeeping around the stockroom and point-of-use areas.

Job Requirements: Min Diploma/Degree in Logistics/Supply Chain/Business or similar w min 2 yrs of relevant experience in cold room, preferably in pharmaceutical industries

Interested candidates, please submit your resume to: allylok@recruitexpress.com.sg

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

allylok@recruitexpress.com.sg

Job Description

The AI Research Scientist will contribute to clinical foundation model workstream for primary-care decision support. The role will focus on adapting open and/or institutionally approved foundation models to Singapore primary-care use cases, such as hypertension and cardiometabolic-renal multimorbidity scenarios involving diabetes, dyslipidaemia, CKD risk, medication burden, preventive care and follow-up planning.

The scientist will prepare structured training and evaluation data from clinical vignettes, synthetic cases, guideline-grounded Q&A, and eHINTS-like longitudinal data extracts where available. The role will support supervised fine-tuning, reinforcement learning or preference alignment experiments, and model evaluation against clinical templates, guideline compliance, safety constraints and usability requirements.

Key Responsibilities

• Prepare model-ready datasets from clinical vignettes, synthetic consultation cases, longitudinal records and guideline-derived tasks.
• Develop and run fine-tuning, instruction-tuning, preference-alignment and/or retrieval-augmented generation experiments for GP-oriented clinical tasks.
• Implement evaluation scripts for guideline adherence, factuality, safety alerts, medication recommendations, missing-data handling and structured output quality.
• Support multimodal and longitudinal data modelling where patient histories, lab trends, medications, notes and care plans need to be represented over time.
• Work with clinical collaborators to translate hypertension and multimorbidity requirements into model tasks, prompts, labels and acceptance criteria.
• Document experiments, datasets, model cards, limitations and reproducibility steps for internal review.

Required Qualifications and Skills

• PhD Degree in computer science, AI, biomedical informatics, computational science, data science or a related quantitative field.
• Hands-on experience with Python and modern deep-learning frameworks such as PyTorch, Hugging Face Transformers, vLLM or equivalent.
• Working knowledge of LLM fine-tuning, prompt engineering, retrieval-augmented generation, evaluation pipelines and reproducible ML experimentation.
• Ability to process structured and unstructured clinical data safely, including tabular records, notes, medications, lab values and guideline documents.
• Good understanding of model evaluation, error analysis, data quality control and responsible AI practices in healthcare or other high-stakes domains.

Preferred Experience

• Experience with clinical NLP, medical LLMs, healthcare datasets, FHIR/EMR-style data, or guideline-based decision support.
• Experience building synthetic data, simulation-based cases, or benchmark datasets for healthcare AI.
• Familiarity with primary-care chronic disease management, especially hypertension, diabetes, lipids, CKD risk and medication safety.
• Experience with GPU-based model training, experiment tracking, and deployment-oriented inference optimization. 

Job Summary

About Us

At the Institute of High Performance Computing (IHPC), A*STAR, we drive innovation at the intersection of artificial intelligence and healthcare. Our mission is to build large language models (LLMs), agentic AI and multimodal foundation models that can transform clinical decision support, biomedical discovery, and public health. We are looking for AI (Senior)Scientist strong applied AI skills ready to build large-scale systems, and you will contribute to innovations that make real impact in healthcare.

Key Responsibilities

• Research & DevelopmentDevelop novel architectures, training strategies, and optimization methods for LLMs, agentic AI, vision foundation model and multimodal foundation models.Advance instruction tuning, reinforcement learning (RLHF/GRPO), retrieval-augmented generation (RAG), and knowledge-grounded reasoning in medical AI.Design and implement multimodal learning pipelines that integrate text, imaging, omics, and real-world clinical data.
• Translation & CollaborationPrototype AI systems for clinical and biomedical applications (e.g., decision support, conversational AI, population health, drug discovery).Benchmark models against state-of-the-art healthcare AI datasets and evaluation frameworks.Collaborate with industry and healthcare partners to enable translation, licensing, and commercialization.
• Scientific LeadershipPublish in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, AAAI, ACL) and high-impact biomedical journals (e.g., Nature Medicine).Contribute to open science initiatives (datasets, model releases, benchmarks).Secure funding through collaborative research proposals with academia, healthcare institutions, and industry.

Qualifications

Minimum Qualifications

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
• Strong publication record in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL) or high-impact biomedical journals.
• Deep expertise in LLMs, vision foundation models, or multimodal AI.
• Strong skills in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed/HPC training.

Preferred Qualifications

• Experience in large-scale LLM and/or foundation model training and deployment.
• Experience with medical or biomedical data (EHR, clinical notes, imaging, genomics).
• Familiarity with biomedical ontologies and knowledge graphs (UMLS, SNOMED CT, PubMed).
• Understanding of AI ethics, safety, and regulatory considerations in healthcare.

What We Offer

• Opportunity to push the frontiers of AI research while delivering real-world healthcare impact.
• A multidisciplinary environment with leading AI scientists, clinicians, and industry partners.
• Access to large-scale compute resources and unique biomedical datasets.
• Support for publications, conference participation, and translational pathways including licensing and spin-offs.

Job Summary

About the Role

The Institute of High Performance Computing (IHPC), A*STAR, is seeking a highly motivated Senior Research Scientist to conduct cutting-edge research in Artificial Intelligence and Machine Learning, with a focus on advancing AI-driven scientific discovery across healthcare, life sciences, biology, and biomedical research.

The successful candidate will lead the development of next-generation AI technologies, including foundation models, multimodal learning systems, scientific machine learning, generative AI, and agentic AI systems that accelerate scientific discovery and translate research innovations into real-world impact.

Key Responsibilities

Research & Innovation

• Develop AI models and platforms that accelerate discovery in healthcare, life sciences, and biomedical research.
• Advance foundation models that learn from large-scale biological, clinical, molecular, and scientific datasets.
• Develop AI systems for:
• Multi-omics analysis
• Drug discovery and therapeutic development
• Precision medicine
• Biomarker discovery
• Disease prediction and prognosis
• Scientific knowledge extraction and reasoning
• Build agentic AI systems capable of hypothesis generation, experiment design, scientific reasoning, and autonomous discovery.
• Develop methodologies that integrate experimental data, simulations, scientific literature, and domain knowledge to support scientific decision-making and discovery.

• Collaborate with clinicians, biologists, healthcare researchers, and domain scientists to translate AI innovations into real-world applications.
• Drive the development of reusable AI platforms, foundation models, and scientific discovery systems.
• Contribute to technology transfer, intellectual property generation, and commercialization opportunities.
• Lead collaborations with academic institutions, healthcare organizations, government agencies, and industry partners.

Scientific Leadership

• Publish high-impact research in leading AI, machine learning, healthcare, and scientific journals and conferences.
• Contribute to grant proposals, project planning, and strategic research initiatives.
• Mentor junior researchers, engineers, and students.
• Represent IHPC in collaborations with academic, healthcare, government, and industry partners.

Requirements

Essential

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Computational Biology, Biomedical Engineering, Computer Engineering, or a related discipline.
• Strong track record in AI/ML research demonstrated through publications, patents, or impactful projects.
• Strong programming skills in Python and modern machine learning frameworks such as PyTorch or TensorFlow.
• Experience developing and evaluating machine learning and deep learning models.
• Experience working with large-scale datasets and computational infrastructure.
• Strong interest in applying AI to scientific discovery, healthcare, and life science challenges.

Preferred

• Experience in one or more of the following areas:Foundation Models for ScienceComputational Biology and Multi-OmicsDrug Discovery and Molecular ModelingBiomedical AIPrecision MedicineScientific Knowledge GraphsScientific Reasoning and Agentic AI SystemsHealthcare AI and Clinical Decision SupportGenerative AI for Scientific Discovery

What We Offer

• Opportunity to work on nationally significant AI for Science, Healthcare, and Life Sciences initiatives.
• Access to world-class computational infrastructure, large-scale scientific datasets, and advanced research facilities.
• Collaboration with leading AI researchers, clinicians, scientists, and industry partners.
• A dynamic environment supporting both fundamental AI research and translational impact.
• Opportunities to shape the future of AI-driven scientific discovery and healthcare innovation.

Job Summary

Role Overview

You will lead the institute’s efforts to identify emerging technology trends, market opportunities, and ecosystem shifts. In this role, you will oversee technology and market intelligence, assess the institute’s strengths against external opportunities, and shape clear recommendations on where to build, partner, or step back.

Key Responsibilities

• Oversee market and technology sensing to identify emerging trends, industry shifts, policy changes, and partnership opportunities.
• Lead technology intelligence — assessing emerging scientific areas, technical trajectories, maturity, standards, and competitive activity.
• Lead market intelligence — assessing industry needs, adoption barriers, value pools, investment trends, and partnership opportunities.
• Map the institute’s research strengths, platforms, talent, and partnerships against emerging opportunities.
• Develop clear recommendations on where to build, deepen, partner, or deprioritise capabilities.
• Build and lead a high-performance, engaged, multi-disciplinary team.

Requirements

• Advanced degree in science, engineering, or a related field. Postgraduate training is advantageous.
• Strong experience in market intelligence, technology intelligence, technology strategy, foresight, consulting, or innovation management.
• Ability to assess technology maturity, market opportunities, industry demand, competitive activity, and ecosystem developments.
• Strong analytical and communication skills, with the ability to turn intelligence into actionable strategic recommendations.
• High proficiency with Generative AI tools will be an advantage.

Career Growth & Impact

• Be the first to see what’s next. You will lead intelligence efforts across emerging technologies — from generative AI to quantum computing and green energy — with direct access to world-class researchers and labs.
• Build an unrivalled professional network. You will engage regularly with industry leaders, startups, government agencies, and international research partners.
• Turn insights into action. Your recommendations will directly determine where the organisation builds, partners, or steps back — a rare level of strategic influence for an intelligence role.
• Open doors across industries. This role is a springboard into technology strategy, corporate development, venture capital, or innovation policy.