Total 47 F&B / Tourism / Hospitality job vacancies

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).

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SHEE YOKE RU|R26161758 | The Supreme Hr Advisory Pte Ltd EA No: 14C7279

Events & Research Coordinator (3-Month Temp) #HMS

About the Role

Are you passionate about applying psychological research to drive meaningful social impact? We are seeking an Associate Psychologist to support programme development, implementation science initiatives, and evidence-informed practice improvements within the social service sector.

This role is ideal for Psychology graduates with strong analytical skills who are interested in research, data analysis, and programme evaluation while contributing to initiatives that strengthen professional practices and service delivery.

Key Responsibilities

• Conduct literature reviews and evidence syntheses to support programme development and evaluation initiatives.

• Collect, analyse, and report data to inform programme improvements and implementation efforts.

• Set up and manage datasets of varying complexity and develop dashboards for research and operational insights.

• Support the design and execution of implementation and evaluation projects, including developing surveys and interview guides.

• Collaborate with internal and external stakeholders to identify innovative practices and technological solutions to enhance professional practice and work processes.

• Prepare reports, presentation materials, and knowledge-sharing resources for internal and external stakeholders.

Requirements

• Degree in Psychology or a related Social Science discipline.

• Good understanding of data management practices and basic statistical analyses.

• Strong interpersonal, written, and verbal communication skills.

• Proficiency in Microsoft Office applications, particularly Word and Excel.

• Ability to work independently and manage multiple priorities within tight timelines.

Preferred Qualifications

• Degree with at least Second-Class Honours or equivalent.

• Familiarity with implementation science concepts.

• Experience with data visualisation tools such as Power BI or Tableau.

• Knowledge of data analysis software such as SPSS, R, or STATA.

• Familiarity with AI-related tools.

• Experience in digital communications or design tools such as Canva, Adobe Photoshop, Piktochart, or video editing software.

• Prior research experience through academic projects, internships, or employment.

Why Join Us?

• Gain valuable experience in programme development and implementation science.

• Work alongside experienced psychology professionals in a collaborative environment.

• Develop expertise in research, data analytics, and evidence-informed practice.

• Contribute to initiatives that create positive social impact in Singapore.

We are seeking a proactive and detail-oriented professional to lead the administration and governance of industry and research collaborations.

• Basic Up to $6,500 + Attractive Bonuses
• West Area
• Permanent role

Responsibilities:

• Lead the full lifecycle management of College-level research agreements, including pre-contract advisory, drafting, internal clearance, negotiation support, execution, amendments, extensions, and project closure.
• Advise faculty and stakeholders on appropriate agreement structures, templates, and collaboration processes, ensuring alignment with University policies and governance requirements.
• Review agreements and key contractual clauses, identifying governance, compliance, operational, intellectual property, liability, and risk considerations prior to legal submission.
• Coordinate with Schools, faculty, central offices, and external stakeholders to facilitate timely negotiations, issue resolution, execution of agreements, and proactive management of bottlenecks or risks.
• Support College-level research initiatives and partnerships through the preparation of strategic reports, briefing notes, presentations, and summaries for leadership, senior management, and funding agencies.

Requirements:

• Possesses a Bachelor's Degree with 3 - 5 years of relevant experience in research administration, research agreements, research partnerships.
• Experience in managing complex research or industry agreements and engaging multiple internal and external stakeholders.
• Familiarity with Singapore’s research, innovation, and enterprise (RIE) ecosystem, including public-sector research funding and collaboration frameworks, would be advantageous.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec ‘s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Goh Yi Min, Mai - R22104617

ScienTec Consulting Pte Ltd – 11C5781

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.

Job Summary

About the Role

The Institute of High Performance Computing (IHPC), A*STAR, is seeking an outstanding Senior Research Scientist to lead cutting-edge research in Artificial Intelligence, Computer Vision, Vision-Language Models (VLMs), Multimodal AI, and Agentic AI Systems.

The successful candidate will drive the development of next-generation AI technologies for healthcare, biomedical, and scientific applications, translating fundamental AI advances into impactful real-world solutions.

Key Responsibilities

Research & Innovation

• Lead and conduct high-impact research in Artificial Intelligence, Machine Learning, and Computer Vision.
• Develop novel algorithms and models in areas such as:
• Multimodal Learning
• Foundation Models
• Generative AI and Large Language Models
• Computer Vision
• Agentic AI Systems
• Design scalable AI systems capable of integrating heterogeneous data sources, including imaging, sensor, text, and clinical data.
• Develop methodologies for prediction, reasoning, decision support, and knowledge discovery.

Translational AI

• Drive the development of reusable AI platforms, foundation models, and intelligent agent systems.
• Translate AI innovations into healthcare, biomedical, and scientific applications.
•  Lead collaborations with clinicians, scientists, academic institutions, government agencies, and industry partners.
• Contribute to technology transfer, intellectual property generation, and commercialization opportunities.

Scientific Leadership

• Publish high-quality research in leading AI, machine learning, and application-domain conferences and journals.
• Contribute to grant proposals, project planning, and intellectual property development.
• Mentor junior researchers, engineers, and students.
• Represent IHPC in collaborations with academic, clinical, government, and industry partners.

Requirements

Essential

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Biomedical 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.

What We Offer

• Opportunity to work on nationally significant AI initiatives.
• Access to world-class computational infrastructure and research facilities.
• Collaboration with leading researchers, clinicians, scientists, and industry partners.
• A dynamic environment supporting both fundamental AI research and real-world translation.

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 Description

The Senior AI Research Scientist will be working on clinical multi-agent CDS engineering workstream. The role will design and implement the MAS harness that coordinates GP, pharmacist, specialist, guideline/evidence, medication-safety and workflow agents for primary-care decision support. The system should support pre-consult briefs, iterative re-inference during consultation, safety checks, and structured next-best-action recommendations.

The scientist will be responsible for translating clinical workflow requirements into an executable architecture: agent contracts, orchestration logic, memory/state management, tool interfaces, retrieval layers, evaluation harnesses and observability. The role will also lead simulation-based testing and validation using clinical vignettes, synthetic cases, public benchmarks and protected clinical data pathways where approved.

Key Responsibilities

• Design and implement the MAS/CDS harness, including agent roles, orchestration policies, memory/state handling, tool calling, guardrails and error recovery.
• Build simulation-based evaluation workflows that generate cases, run multi-agent consultations, compare outputs with labels or clinician review, and record failure modes.
• Engineer validation pipelines for guideline compliance, medication safety, role adherence, hallucination detection, uncertainty handling, and workflow usability.
• Integrate clinical foundation models, retrieval components, guideline knowledge bases, structured patient data and clinician feedback loops into a coherent CDS prototype.
• Lead technical design for pre-consult briefs and iterative consultation support, including re-inference when new patient information, lab results or clinician inputs are added.
• Collaborate with clinicians, product/workflow teams and evaluation teams to define acceptance criteria, benchmark scenarios, safety thresholds and pilot-readiness evidence.
• Mentor junior researchers/engineers and establish engineering standards for reproducible MAS experiments, audit trails, dataset versioning and model/system documentation.

Required Qualifications and Skills

• PhD degree in AI, computer science, machine learning, biomedical informatics, computational science or a related field.
• Strong hands-on experience building LLM applications, agentic systems, orchestration frameworks, evaluation harnesses or production-grade AI research prototypes.
• Deep understanding of LLM evaluation, retrieval-augmented generation, tool use, safety guardrails, observability, state management and experiment reproducibility.
• Ability to design validation approaches for clinical AI systems, including synthetic and real-world data evaluation, clinician review workflows and error analysis.
• Strong software engineering skills in Python and modern AI system stacks; able to convert research ideas into maintainable prototypes and reusable platforms.

Preferred Experience

• Experience with clinical decision support systems, medical LLMs, healthcare workflow integration, FHIR/EMR/eHINTS-like data pathways or regulated AI evaluation.
• Experience with multi-agent frameworks, simulation environments, LLM-as-judge systems, benchmark construction, or safety testing for high-stakes AI.
• Knowledge of primary-care chronic disease management and clinical safety issues such as polypharmacy, contraindications, formulary constraints and care-gap detection.
• Track record leading small technical teams, mentoring junior researchers, and coordinating with clinical, product and governance stakeholders.

Job Summary

About the Role

The Institute of High Performance Computing (IHPC), A*STAR, is seeking a highly motivated Research Scientist to conduct cutting-edge research in Healthcare AI Safety, Trustworthy AI, and Responsible AI Systems.

The successful candidate will lead the development of methodologies, frameworks, and technologies that ensure AI systems are safe, reliable, robust, transparent, and clinically trustworthy for deployment in healthcare settings. The role will focus on advancing AI safety research while enabling the responsible translation of AI innovations into clinical practice and healthcare operations.

Key Responsibilities

Research & Innovation

• Conduct original research in Healthcare AI Safety, Trustworthy AI, Machine Learning, and Artificial Intelligence.
• Develop novel methodologies and frameworks in areas such as:
• AI Safety and Alignment
• Trustworthy and Responsible AI
• Explainable and Interpretable AI
• AI Evaluation and Benchmarking
• Robustness and Reliability
• Human-AI Collaboration
• AI Governance and Risk Management
• Design techniques for detecting, mitigating, and monitoring AI failures, biases, hallucinations, and unsafe behaviors.
• Develop methods for uncertainty quantification, confidence estimation, and risk-aware decision-making.

• Develop safety frameworks for foundation models, large language models, multimodal AI systems, and agentic AI systems used in healthcare.
• Design methodologies to evaluate clinical safety, reliability, fairness, and generalizability of AI systems across diverse patient populations and healthcare settings.
• Develop monitoring systems for post-deployment surveillance, model drift detection, and continuous safety assessment.
• Build mechanisms for human oversight, escalation, and safe human-AI collaboration in clinical workflows.
• Develop evaluation frameworks for clinical decision support systems, healthcare copilots, and autonomous healthcare agents.
• Advance approaches for safeguarding patient privacy, data security, and responsible use of healthcare data.

Translational AI Safety

• Collaborate with clinicians, healthcare providers, regulators, policymakers, and industry partners to support safe deployment of AI systems.
• Contribute to healthcare AI governance frameworks, safety standards, regulatory science, and best practices.
• Translate AI safety research into practical tools, platforms, and operational frameworks for healthcare organizations.
• Support technology transfer, intellectual property generation, and commercialization opportunities.

Scientific Leadership

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

Requirements

Essential

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Biomedical Informatics, Healthcare Informatics, 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.
• Strong interest in AI safety, responsible AI, healthcare applications, and trustworthy AI systems.

Preferred

• Experience in one or more of the following areas:
• AI Safety and Alignment
• Trustworthy and Responsible AI
• Explainable AI (XAI)
• Foundation Models and Large Language Models
• Agentic AI Systems
• Healthcare AI and Clinical Decision Support
• AI Evaluation and Benchmarking
• Human Factors and Human-AI Interaction
• Regulatory Science and AI Governance
• Healthcare Data Privacy and Security

What We Offer

• Opportunity to shape the future of safe, trustworthy, and responsible AI in healthcare.
• Access to world-class computational infrastructure, healthcare datasets, and research facilities.
• Collaboration with leading AI researchers, clinicians, healthcare providers, regulators, and industry partners.
• A dynamic environment supporting both fundamental AI safety research and real-world deployment.
• Opportunities to influence national and international healthcare AI safety standards and frameworks

About NATi

The Nucleic Acid Therapeutics Initiative (NATi), hosted by A*STAR, is Singapore's national platform dedicated to advancing RNA-based medicines and revolutionising drug and vaccine development. NATi's mission is to establish Singapore as a globally recognised hub of excellence in nucleic acid therapeutics research, clinical translation, and commercialisation.

NATi focuses on key RNA modalities such as antisense oligonucleotides (ASOs), small interfering RNA (siRNA), and messenger RNA (mRNA). To drive this vision, NATi is building a biotech-like translational engine focused on asset and technology development spanning discovery to clinical development.

We are actively seeking passionate and committed RNA scientists with deep translational expertise to join us in advancing the next generation of RNA-based therapeutics.


Position Overview

The Scientist / Senior Scientist (Infectious Diseases), Vaccines & Immunotherapeutics will develop mRNA immunotherapies across multiple therapeutic programs. This role is important in NATi"s development of immunotherapy candidates from discovery/pre-clinical to IND-enabling stages. The successful candidate will have prior experience and proven track record in the academic or biotech laboratory settings.

Key Responsibilities

• Support and execute the Vaccines R&D strategy in a creative, innovative manner. 
• Develop and optimise laboratory methods for characterisation of the different RNA therapeutic modalities (e.g., mRNA, circRNA, saRNA, gRNA), focusing on protein translation and stability. 
• Design and conduct in vitro assays to assess vaccine-specific responses and identify and quantify cellular targets and efficacy readouts for infectious diseases.
• Stay current with immunology, vaccinology literature and emerging platforms and provide scientific expertise in the areas of cellular and humoral immune responses to vaccines.
• Independently write protocols, procedures and develop and maintain SOPs to ensure reproducibility, compliance, and readiness for IND submission, contribute to CMC documentation. 
• Prepare technical reports, presentations, and documentation to support internal decision-making and external regulatory submissions. Communicate results orally or written, internally or externally. 
• Train and mentor junior lab personnel.
• Collaborate with scientists across multiple functions.
• Maintain accurate records using LIMS/ELN systems to support data integrity and reproducibility.
• Support tech transfer activities to external CDMOs, including preparation of reports, training, and troubleshooting support.

Qualifications & Experience

• PhD in Immunology or a related field with minimum of 8+ years of experience. Industry experience preferred.
• Detailed knowledge in immunology and cellular biology, mechanisms underlying autoimmune, allergy and inflammatory diseases with deep expertise in T-cell function and with emphasis on cytokine signalling, tolerance mechanisms, and immunopathology. 
• Proven proficiency in immunophenotyping, particularly extensive hands-on experience with multi-color flow cytometry including panel design, staining fluency, compensation, and data analysis/interpretation.
• Strong record of accomplishment in advancing immunology-focused therapeutics and leading translational/biomarker initiatives.
• Proven ability to develop, validate and troubleshoot assays.
• Ability to work independently and collaboratively in a cross-functional, fast-paced multidisciplinary environment to effectively deliver results within reasonably established timelines.
• Knowledge and experience with in vivo models.
• Expertise developing mRNA-LNP therapeutics is highly desirable.
• Ability to work well with CROs.

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.

We are an education centre located in Ang Mo Kio & Hougang, looking for passionate and experienced part-time Primary and Secondary level Math Teachers to join us!

All Materials and Training will be provided. Back to back classes arranged. Maximum of 8 students a class.

The shortlisted candidate must have relevant classroom teaching experience. Please indicate the subjects and levels you have taught in your resume.

Attractive hourly rates: Starting from $30/hr to $60/hr

Commencement: 21st June 2026 (Take over existing classes from another Teacher)

Available Classes:

Location: 232 Ang Mo Kio Avenue 3

1. P5 Master Math (Mon, 5-7pm)

2. P6 Super Science (Mon, 7-9pm)

3. Sec 4 E Math (Sun, 10am-12pm)

Location: 678 Hougang Avenue 8

1. P1 Master Math (Tue, 4-5.30pm)

2. P3 Master Math (Tue, 5.30-7pm)

3. P6 Master Math (Tue, 7-9pm)

4. Sec 1 Math (Sat, 10am-12pm)

Job Highlights

• Fun and friendly working environment
• Flexible working hours with training provided

Job Description

• Deliver engaging and interactive Math lessons in accordance with StarChamps’ curriculum for students in the Primary and Secondary level.
• Be observant and responsive to each student’s learning pace and level of understanding.
• Use a variety of teaching methods to cater to different learning styles and ensure active participation in class.
• Mark students’ work and provide additional support to weaker learners.
• Handle classroom administration and maintain proper student records.
• Establish and maintain good relationships with students and parents.
• Provide term progress reports and updates on students’ performance and progress.
• Create and maintain a safe, conducive, and positive learning environment for all students.

Job Requirements:

• A Degree in any discipline (Math or Education-related preferred)
• Minimum 2–3 years of Math and/or Science teaching experience
• Must be an engaging teacher who can capture students’ attention and make learning enjoyable
• Must have a keen eye for observing students, understanding their learning needs, and adapting lessons accordingly
• Passionate about helping every child learn with confidence
• Comfortable with the use of technology in class (e.g. Laptop, Projector, tablets)
• Classes available on weekdays from 4 pm onwards and weekends from 10 am
• Must be able to commit for one full academic year (until 30 November 2026)

Important Application Instructions
Please indicate clearly in your résumé:

• The subjects and levels you have taught (e.g. Primary 3 Math, Primary 5 Science)
• Your available teaching days and time slots in 2026

Interested candidates are invited to apply online with a comprehensive résumé. Only shortlisted applicants will be contacted.

Retirement, Estate & Family Wealth Track

We're building a specialist practice helping clients plan for two of the most important stages of financial life: a secure retirement, and the legacy they pass on afterward. We're looking for a small number of capable people to groom into this space, backed by a real fixed salary during ramp-up and a development track built for advising clients on long-term wealth, not just selling products.

This is a relationship-led advisory role — retirement income planning, wealth preservation, and estate and legacy structuring. It rewards depth and trust over pressure selling.

What you'll do

• Advise clients on retirement planning — income strategies, CPF/SRS optimisation, wealth accumulation and drawdown — and on legacy and estate planning as their needs evolve
• Run in-depth financial needs analyses covering how a client's wealth is built, protected, drawn down, and eventually passed on
• Build and deepen long-term relationships with clients and their families
• Host and curate retirement and legacy planning events and briefings
• Work alongside specialists — lawyers, fund houses, and investment trainers — who deliver ongoing technical training
• Develop into a senior advisory or leadership role as you build your book

The package

• Fixed monthly salary of up to $4,000 (based on experience) for your first 3 months — probation period
• A fully sponsored Certified Estate Planner certification, plus ongoing monthly training from lawyers, fund houses, and investment specialists — a deep, continuous development track, not a single course
• After probation: a commission-based model with no ceiling. Advisers who establish themselves in this practice typically build toward $5,000+/month as their book matures
• A defined progression path into senior advisory and leadership roles

The support behind you

This isn't a brochure-and-phone practice. You're plugged into a systematized advisory operation built to handle long-term client relationships:

• Tools that turn hours of portfolio and policy review into minutes, so you walk into every meeting already knowing where the gaps are
• A market and intelligence system that keeps you genuinely informed for substantive client conversations
• Client-facing modelling tools to present retirement income and legacy scenarios live, clearly, on screen
• A structured pipeline system so client relationships are nurtured, not forgotten

Who this is for

• Diploma / Degree / full A-Levels in any field — career-switchers from corporate, banking, sales, or service backgrounds do well here
• Strong communicators who can make complex retirement and estate concepts simple
• People with the maturity to earn clients' trust on long-term financial decisions
• Patient, relationship-driven, and comfortable with longer advisory cycles
• Self-directed, organised, and able to manage shifting priorities

Job Description 

We are seeking a talented and experienced robotics scientist to join our team in advancing Embodied AI for robotics, with a strong focus on Learning from Demonstration for contact-rich manipulation and intelligent skill acquisition. The successful candidate will conduct applied R&D to develop, implement, and validate robot learning algorithms integrating motion, force/torque, and multimodal perception for real-world industrial applications. This role involves designing experimental setups, collecting and analysing demonstration data, translating research outcomes into functional prototypes, and contributing to the strategic development of Embodied AI and humanoid robotics capabilities, while working closely with multidisciplinary teams and stakeholders to drive innovation, technical excellence, and impactful deployment in advanced manufacturing environments.

Roles & Responsibilities

• Conduct applied R&D in Embodied AI for robotics, focusing on Learning from Demonstration (LfD) for contact-rich manipulation and skill acquisition.
• Design and execute experiments to collect, process, and analyse demonstration data for training intelligent robotic behaviours.
• Apply machine learning techniques, including deep-learning methods, to enhance robot control and decision-making processes, making our robots more adaptable and intelligent.
• Translate research outcomes into functional prototypes and deployable robotics solutions for industrial applications.
• Contribute to the strategic development of Embodied AI and humanoid robotics capabilities
• If applicable, leverage computer vision to improve robot perception and object recognition capabilities.
• Continuously research and implement state-of-the-art algorithms and methodologies to improve robot performance and efficiency.
• Collaborate with cross-functional teams, including hardware engineers, software developers, and researchers, to achieve project goals.
• Support stakeholder engagement and technical discussions with industry partners, providing expert input on system capabilities and limitations.

Job Requirements

• PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
• At least 5 years of experience
• Strong background in robot learning, Embodied AI, Learning from Demonstration, or related AI-driven robotics techniques.
• Knowledge of deep learning frameworks like TensorFlow and/or PyTorch.
• Proficiency in programming languages such as Python, C++
• Hands-on experience with ROS2, simulation environments (e.g. Isaac Sim), and robotic hardware platforms.
• Familiarity with industrial automation or manufacturing environments is an advantage.
• Strong communication skills to collaborate effectively with colleagues and present technical findings.
• A passion for robotics and a desire to stay updated with the latest developments in the field.
• Strong commitment to solving technical challenges in the field of robotics, approaching obstacles with a positive and determined mindset.

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.

Benefits Included:

Weekly salary disbursement

CPF contributions

Job Description:

Fixed 5.5 working days weekly

Flexibility to use your own bike or rent ours

No previous experience needed

Must possess a Class 2B licence

⚠️ Limited intake — act quickly!

- A

Project Manager / Senior Project Executive

Location: Tanjong Pagar
Working Days: 6 days (Monday - Saturday)
Working Hours: 9:00 AM – 6:00 PM
Salary Range:

• Project Manager: $4,000 – $6,000

Role Overview

Responsible for managing office fit-out / workplace projects end-to-end, from planning and site mobilisation through completion and handover. Accountable for delivery in accordance with approved timelines, budgets, specifications, and contractual requirements.

Key Responsibilities

1. Project Management

• Manage the full project lifecycle from commencement to completion and handover

• Develop and maintain project schedules, work plans, and progress tracking

• Coordinate internal teams, subcontractors, and vendors

• Ensure delivery aligns with approved timelines, budgets, and specifications

2. Client & Contract Administration

• Act as the primary point of contact for assigned clients

• Manage project scope changes, variation orders (VOs), and contractual documentation

• Maintain formal records of client instructions, approvals, and correspondence

• Coordinate client meetings, site meetings, and approvals

3. Technical & Site Coordination

• Review and coordinate architectural, technical, and shop drawings

• Resolve construction and coordination issues across multiple trades

• Ensure works are executed in accordance with approved design intent and specifications

4. Budget & Cost Control

• Monitor project budgets, cost reports, and procurement activities

• Prepare, evaluate, and manage variation orders

• Review quotations and negotiate with vendors and subcontractors

• Ensure cost control throughout the project lifecycle

5. Team Supervision

• Supervise Project Executives (Senior PE, PE II, PE I)

• Allocate tasks and monitor progress to meet project timelines

• Provide site-based guidance related to coordination and execution

6. Documentation & Compliance

• Ensure complete and accurate project documentation and records

• Enforce standard operating procedures and internal workflows

• Ensure compliance with safety, regulatory, and contractual requirements

7. Handover & Close-Out

• Manage defect rectification and final inspections

• Coordinate project handover and client sign-off

• Ensure submission of complete close-out documentation

Requirements

Education

• Minimum Diploma in Construction Management, Building, Civil Engineering, Architecture, Interior Design, or a related discipline.

• Project Manager:

  • Minimum 5 years of relevant experience in office fit-out / workplace projects.

Proven experience managing projects from site mobilisation to completion and handover.