Total 2,109 Science / R&D / Research job vacancies in Overseas

Job Purpose

The primary responsibility of this role is to support the implementation, testing, and validation of the high-frequency ultrasound research platform through experimental setup, data acquisition, software development, and day-to-day technical execution of the project.

Key Responsibilities

• Assist in the development, implementation, and testing of signal processing and imaging algorithms for high-frequency ultrasound structural and functional imaging.
• Support experimental setup, data collection, phantom preparation, system calibration, and routine operation of imaging hardware and associated measurement equipment.
• Conduct bench top and phantom experiments according to defined protocols, and assist in organizing, processing, and documenting experimental data.
• Develop and maintain software scripts, processing pipelines, and visualization tools for imaging experiments and performance evaluation.
• Support system integration activities involving sensors, data acquisition hardware, software interfaces, and computational workflows.
• Help prepare technical documentation, reports, figures, and datasets needed for project reviews, publications, and presentations.
• Maintain laboratory records, inventory, and equipment logs, and support procurement, setup, and troubleshooting of components and consumables.
• Assist in training and supporting students or project users in the use of the developed systems and software.
• Perform other project-related technical duties assigned by the Principal Investigator or senior research staff.

Job Requirements

• MTech, MSc, or equivalent in Electrical Engineering, Biomedical Engineering, Medical Technology, Instrumentation, Computer Engineering, Signal Processing, or a related field.
• Good knowledge of signal processing, imaging, electronics, instrumentation, or medical device-related development.
• Hands-on experience in programming, preferably in Python, MATLAB, C/C++, or similar environments.
• Experience in experimental work, data collection, and system troubleshooting is desirable.
• Familiarity with ultrasound imaging, biomedical instrumentation, image processing, or machine learning is desirable.
• Ability to follow technical protocols accurately and to maintain clear documentation of work performed.
• Ability to work effectively both independently and under the guidance of senior researchers.

Key Competencies

• Technical aptitude and practical problem-solving ability.
• Good programming and data handling skills.
• Careful and systematic approach to experiments, testing, and documentation.
• Attention to detail and commitment to data quality and reproducibility.
• Willingness to learn new technical skills and adapt to evolving project needs.
• Good teamwork and communication skills.
• Ability to manage time effectively and support multiple concurrent project activities. 

Job Purpose

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. 

The primary responsibility of this role is to contribute to an industry innovation research project on developing artificial intelligence (AI) solutions for train operations and maintenance. 

Key Responsibilities

• Work closely with faculty members, researchers, students, and collaborators on research activities and technology development.
• Support research and development in Artificial Intelligence and related areas for train operations and maintenance.
• Assist in the coordination and management of the research project.
• Coordinate finance tracking, reporting, and communications with industry and research partners. 

Job Requirements

• Bachelor/Master/PhD degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or related disciplines.
• Experience in project management, research administration, or coordination of large-scale projects is highly preferred.
• Familiarity with finance management, budget tracking, procurement, or grant administration will be an added advantage.
• Experience in areas such as Machine Learning, Deep Learning, Computer Vision, Large Language Models, Data Analytics, or Intelligent Systems will be advantageous.

Key Competencies

• Prior experience in research project coordination and management
• Basic knowledge about finance tracking and reporting
• Capabilities of communication and organisational skills

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 Engineer to develop and deploy advanced AI systems that translate cutting-edge research into scalable real-world applications.

The successful candidate will work closely with research scientists to implement, optimize, and operationalize AI models across healthcare and biomedical domains. This role combines software engineering, machine learning, and systems engineering to bridge the gap between research and deployment.

Key Responsibilities

AI System Development

• Design, develop, and maintain machine learning and deep learning systems.
• Implement state-of-the-art AI algorithms from research prototypes into production-quality software.
• Build scalable data processing and model training pipelines.
• Develop multimodal AI systems integrating text, image, video, sensor, and structured data.
• Optimize model training, inference, and deployment workflows.

Research Translation

• Collaborate with AI researchers to translate novel algorithms into robust software solutions.
• Reproduce and benchmark research models.
• Develop reusable AI frameworks, libraries, and tools.
• Support experimentation, model evaluation, and performance optimization.

Software & Infrastructure Engineering

• Design scalable cloud and on-premise AI infrastructure.
• Develop APIs, backend services, and model-serving platforms.
• Implement automated testing, monitoring, and CI/CD pipelines.
• Support large-scale distributed training and inference systems.

Deployment & Integration

• Deploy AI solutions into healthcare, scientific, and enterprise environments.
• Integrate AI systems with operational workflows and external platforms.
• Develop monitoring tools for model performance and reliability.
• Support technology transfer and production deployment activities.

Requirements

Essential

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, or related disciplines.
• Strong programming skills in Python.
• Experience with PyTorch, TensorFlow, or similar machine learning frameworks.
• Experience in software engineering best practices.
• Familiarity with Linux, Git, and software development workflows.
• Strong problem-solving and system design skills.

Preferred

• Experience with:Large Language ModelsMultimodal AIComputer VisionMLOps platformsCloud Computing (AWS, Azure, GCP)Containerization (Docker, Kubernetes)Distributed ComputingGPU Computing

What We Offer

• Opportunity to work on cutting-edge AI technologies with real-world impact.
• Access to world-class computational infrastructure and research facilities.
• Collaboration with leading researchers, clinicians, scientists, and industry partners.
• A dynamic environment supporting innovation, learning, and career growth.

The Centre for Research and Development in Learning at Nanyang Technological University, Singapore (CRADLE@NTU) seeks applicants with a Bachelors (Honours) degree in Psychology, Cognitive Neuroscience or related field from a university of good standing for a Research Assistant Position.

The successful candidate will contribute to the coordination, implementation, and administration of research projects, working closely with researchers, collaborators, schools, and other stakeholders. This role involves supporting research activities, participant recruitment, data collection, project administration, and maintaining accurate research records.

Key Responsibilities:

• Coordinate and support the day-to-day operations and administration of funded research projects to ensure timely delivery of project objectives and milestones.

• Liaise and collaborate with project collaborators, schools, external institutions, and other stakeholders to facilitate project implementation and research activities.

• Organize and coordinate meetings with project stakeholders, including preparation of meeting materials and documentation of key outcomes.

• Conduct literature reviews and support the preparation of research reports, project updates, presentations, and other project deliverables.

• Prepare, submit, and maintain research ethics applications, amendments, and related documentation in accordance with institutional requirements.

• Support participant recruitment, scheduling, and study administration activities.

• Collect research data using psychological, cognitive, and neuroimaging methodologies, including cognitive assessments, MRI, and functional Near-Infrared Spectroscopy (fNIRS).

• Maintain accurate and organized project records, research databases, and documentation in compliance with research governance and data management requirements.

• Support data management, storage, cybersecurity, and data security processes in accordance with institutional policies.

• Assist with the procurement and inventory management of research-related equipment, materials, and services.

• Monitor project timelines and coordinate research activities to support the achievement of project milestones and reporting requirements.

• Prepare and coordinate research progress reports and other project-related documentation for internal and external stakeholders.

• Provide day-to-day guidance and coordination for undergraduate student assistants involved in project activities, where applicable.

• Undertake other research, operational, and administrative duties as assigned by the Principal Investigator.

Requirements:

Required Qualifications and Skills

• Bachelor's Degree (Honours) in Psychology, Cognitive Neuroscience, Neuroscience, Education, or a related discipline.

• Strong written and verbal communication skills, including the ability to prepare reports and communicate effectively with internal and external stakeholders.

• Good organizational and project coordination skills, with strong attention to detail and accuracy.

• Ability to work independently and manage multiple tasks within established timelines.

• Experience with data management, record-keeping, and administrative processes.

• Demonstrated ability to learn new research methods, tools, and technologies as required.

Preferred Qualifications and Experience

• Experience conducting cognitive, psychological, or neuropsychological assessments.

• Experience working with children or in school-based research settings.

• Experience with neuroimaging techniques such as functional Magnetic Resonance Imaging (fMRI) and/or functional Near-Infrared Spectroscopy (fNIRS).

• Experience supporting research administration, ethics submissions, or project coordination.

Additional Information

• The role may require travel to schools, partner institutions, or research sites for data collection and project activities.

• Occasional work outside standard office hours, including weekends, may be required to support research activities. Time-off arrangements will be provided in accordance with university policies.

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

Primary Science Tutor 

Location: 1187 Upper Serangoon Rd, The Midtown, Singapore 533971
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)

WhatsApp me your resume for quicker processing! ☺️
WhatsApp: https://wa.me/6596112291 (Kyra)
Voon Yih Boon Reg No: R22106724 | The Supreme HR Advisory Pte Ltd EA No: 14C7279

Primary Science Tutor 

Location: 1187 Upper Serangoon Rd, The Midtown, Singapore 533971
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)

WhatsApp me your resume for quicker processing! ☺️
WhatsApp: https://wa.me/6596112291 (Kyra)
Voon Yih Boon Reg No: R22106724 | The Supreme HR Advisory Pte Ltd EA No: 14C7279

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

We are seeking a motivated Research Engineer to join our team at a newly established Research Centre in Animal Feed, a facility dedicated to aquaculture and animal feed research, production, and capability development. The role is responsible for the reliable, safe, and efficient execution of feed research and production activities, and serves as a key enabler of service delivery, project execution, and capability transfer for the Centre.

You will support the day-to-day running of feed production, testing, and development activities, while developing an end-to-end understanding of feed production, from formulation through to finished feed. This role is ideal for an engineer eager to gain hands-on experience in applied feed science and to help build operational excellence within a growing research environment.

Key Responsibilities:

Feed Mill Operations

• • Ensure the uninterrupted and efficient operation of the feed mill.
  • Plan and execute production runs for R&D, pilot, training, and service activities.
  • Oversee formulation execution, extrusion, drying, coating, and quality control.

Technical Excellence & Standards

• • Establish and maintain operational standards for formulation, processing, and quality control.
  • Ensure compliance with safety, quality, risk and regulatory requirements.
  • Support the commissioning, validation, and optimisation of upgraded equipment.
  • Conduct routine laboratory analyses (e.g. proximate analysis, basic quality checks).
  • Support sample preparation and data generation for feed and ingredient testing.
  • Maintain good laboratory practices and basic QA/QC procedures.

People & Capability Development

• • Provide hands-on leadership and mentoring to technical staff.
  • Transfer operational know-how and best practices to build a competent team.
  • Support the training and upskilling of staff involved in feed production.
  • Communicate with internal and external stakeholders to ensure project deliverables are met.

Operational Integration

• • Work closely with the Centre Director on production planning, resource allocation, and prioritisation.
  • Support the Centre Director in the engagement of external parties.
  • Support the smooth integration of feed mill operations within the Research Centre’s broader project and service portfolio.
  • Any other ad-hoc duties assigned by Supervisors.

Job Requirements:

• Have relevant competence in feed production, processing, or a related technical field.
• Have a degree in Food Science, Animal Science, Aquaculture, Chemical/Process Engineering, or a related discipline.
• Experience in feed milling, extrusion processing, or laboratory analysis (e.g. proximate analysis, QA/QC) will be advantageous.
• Strong hands-on, problem-solving, and team-leadership skills will be advantageous.

The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer our understanding of emerging infections through world-class research that integrates immunology, infection biology, pathogen genomics, and computational approaches. This integration drives comprehensive studies of host–pathogen interactions across molecular, individual, and population scales to address emerging health challenges. 
The Coronavirus Lab, led by Assistant Professor Mart Lamers within the Signature Research Programme in Emerging Infectious Diseases (EID), is seeking a full-time Research Fellow / Senior Research Fellow in Computational Biology. Our group leverages cutting-edge technologies—including organoids, CRISPR/Cas9, single-cell and spatial omics—to study coronavirus–host interactions that influence pandemic potential and disease pathogenesis.

We welcome applications from candidates with a strong background in computational and quantitative biology. The successful candidate will play a key role in analysing high-dimensional datasets and fostering an interdisciplinary research environment at the interface of virology, genomics, and data science.

We are looking for a creative, innovation-driven individual who is eager to uncover hidden patterns within complex datasets—insights that can both strengthen our experimental findings and spark bold, testable hypotheses that push the boundaries of discovery in our lab. This role also offers the freedom to develop quantitative AI/ML pipelines for pathogen risk assessment, informed by insights from our wet lab scientists.

Main Responsibilities

• Perform tasks and support all aspects of the research project.
• Carry out algorithm development and data analysis, including (but not limited to) single-cell and bulk transcriptomics, spatial omics, proteomics, and genome-wide association (GWAS) data independently.
• Lead AI/ML-driven efforts to develop pathogen risk assessment pipelines.
• Collaborate with experimental scientists to integrate computational findings with biological hypotheses.
• Contribute to scientific writing and dissemination of results through publications, presentations, and grant proposals.
• Mentor junior lab members and contribute to collaborative team science efforts.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD Degree in a related scientific area (e.g., Bioinformatics, Computational Biology, Machine Learning/AI, Computer Science, Virology, Cell biology, or Immunology) with demonstrated hands-on experience in developing and/or applying algorithms for multi-omics data integration.
• Proven proficiency analysing bulk and single-cell transcriptomic datasets.
• Proficiency in R and/or Python coding.
• Familiarity with high-performance computing (HPC) environments and GPU programming.
• Have experience with spatial omics or GWAS analysis is strongly advantageous.
• Experience with AI/ML approaches for biological data analysis would be advantageous.
• Have excellent quantitative, analytical, and organizational skills.
• Collaborative, motivated, and adaptable, with a commitment to open and integrative team science.

We regret that only shortlisted candidates will be notified.

Job Purpose

Research Fellow (Connector) work with industry partners to co-create commercially viable solutions in healthcare innovation. They deliver on projects that help healthcare institutions and businesses to move up the innovation value chain, addressing critical challenges in Singapore's evolving healthcare landscape. While working on these projects, Research Fellow (Connector) will have the opportunity to be equipped with applied research skill sets and enhanced project implementation capabilities that are relevant to industry demands. The success of these initiatives will bring about deeper collaboration with key healthcare stakeholders that will translate the industry engagement into more innovation projects with SIT.

This role will play a pivotal role in advancing healthcare innovation research and projects. Collaborating closely with faculty, healthcare institutions, industry partners, researchers, and students, the role will co-create impactful, practical, and commercially viable solutions that address critical healthcare challenges in Singapore, such as (but not limited to) automating processes, AI implementation, workflow redesigning, technology empowerment and improving operational efficiency to tackle issues related to an aging population, chronic diseases, rising healthcare costs and shortage of manpower.

Key Responsibilities

Applied Research and Innovation

• Lead and manage projects focused on healthcare innovation and assess the outcome, such as adopting automation systems, implementing AI and analytics in healthcare settings, workflow redesign for productivity improvement, and technology solutions for operational challenges in healthcare institutions and professionals.
• Explore emerging healthcare technologies, frameworks, and practices to advance sustainable healthcare solutions in Singapore's healthcare ecosystem.
• Conduct needs assessments and operational efficiency analyses to address real-world healthcare challenges, particularly in varies areas related to allied health, nursing and community health.
• Conceptualize, design and implement innovative projects based on deep understanding of healthcare providers' needs and available technologies, matching both of them effectively, with emphasis on practical implementation and measurable outcomes.

Industry Engagement

• Collaborate with healthcare institutions, industry partners, and government agencies (e.g., MOH, HPB) to co-create solutions that enhance operations and support national healthcare transformation initiatives (e.g., Healthier SG, Age Well SG, 3 Beyonds).
• Identify emerging trends and opportunities in healthcare innovation to position SIT and its partners as key contributors to health technology advancement.
• Foster and maintain strong partnerships with healthcare businesses, institutes of higher learning, start-ups, and public sector stakeholders to develop impactful projects that improve healthcare delivery and population health outcomes.
• Serve as a technical and strategic liaison to frame projects with healthcare enterprises, identify required capabilities across the innovation ecosystem, and translate stakeholder needs into actionable initiatives.
• Work closely with internal teams (e.g., ICCAHI core team, IaaS, Innohub) and external partners to develop and implement collaborative projects, including co-funding arrangements and licensing opportunities.
• Support the attraction and development of high-value, industry-relevant projects for SIT, Polytechnics, and ITE applied research and innovation centres.
• Leverage industry networks to facilitate knowledge transfer, capability development, and technology adoption across healthcare and innovation ecosystems.
• Secure and identify funding sources through grants, proposals, and industry partnerships, and support stakeholders in grant applications (e.g., ICDG, EDG, LTIF), ensuring compliance with funding requirements and quality standards.
• Act as a liaison between internal and external stakeholders, including students, to gather feedback and translate insights into continuous improvements in projects and initiatives.

Project Management

• Oversee the planning, execution, and delivery of healthcare innovation and ICCAHI-related projects, ensuring timely completion and high-quality outcomes.
• Plan, coordinate, and manage day-to-day operations, including developing annual roadmaps and workplans.
• Monitor project progress, budgets, milestones, and KPIs, and prepare regular updates and reports for stakeholders.
• Prepare and manage budgets, financial reports, costing analyses, and project documentation in alignment with funding and institutional requirements.
• Oversee project agreements, working with TTO and relevant stakeholders to ensure intellectual property protection, compliance, and effective collaboration.
• Maintain proper documentation and shared repositories for project tracking and reporting.

Administrative and Operational Support

• Handle administrative functions such as account management, invoice processing, payment collection, operational duties as required, and any other administrative responsibilities within the scope of ICCAHI, as directed by Head of ICCAHI.

Professional Development and Expertise

• Stay updated with developments in healthcare innovation, including new technologies, market development, regulations, and industry practices in Singapore and internationally.
• Support the cluster in obtaining IAF-ICP and IAF-PP funding by leveraging industry knowledge and proposal development expertise.
• Curate innovation showcases and success stories that highlight the impact of Health Living Lab projects and initiatives.

Job Requirements

• A degree in Healthcare Management, Health Sciences, Engineering with healthcare experience, or a related field. Master in a relevant field (eg MBA) is preferred.
• At least 7 years of relevant industry experience in healthcare settings, with a proven track record in healthcare innovation, operational improvement, and technology implementation.
• Strong knowledge of healthcare technologies, resource management, and healthcare business practices in Singapore.
• Experience in healthcare workflow analysis, automation implementation, and healthcare metrics.
• Strong analytical, project management, and communication skills.
• Experience in writing project proposals, grants, and government tenders will be an added advantage.
• Extensive experience and knowledge of Singapore healthcare industry practices to bring industry perspective to SIT.
• Keen interest in healthcare innovation projects, with demonstrated ability in developing solutions to operational and technical problems in healthcare settings.
• Strong supervisory skills and enjoy working closely with students in an educational environment.
• Demonstrate proficiency to keep abreast of development in the healthcare field and pursue professional certification programs. Possession of industrial certifications in relevant healthcare areas will be an added advantage.

Key Competencies

• Strong understanding of the healthcare challenges faced by Singapore institutions and the market landscape in Singapore and the region, particularly regarding aging population, rising healthcare costs, and demand for efficiency.
• Ability to perform as a domain expert, contributing to the mapping and development of the healthcare industry ecosystem.
• Demonstrated ability to facilitate collaboration among diverse stakeholders, such as public agencies, POLITE, SIMTech, and IPI to advance healthcare innovation initiatives.
• Experience with or knowledge of various funds and grants (eg EDG, LTIF, NMRC, IAF-ICP, IAF-PP) and expertise in proposal development is preferred.
• Strong interpersonal and communication skills to collaborate effectively with industry partners, students, and stakeholders.
• Ability to work collaboratively in a cross-functional and multidisciplinary healthcare environment.
• Proactive approach to continuous learning and professional development.
• Proficient in presentation of healthcare innovation concepts and outcomes.
• Possess good analytical and critical thinking skills for healthcare problem-solving.
• Shows good initiative and takes ownership of work undertaken.
• Project management skills, including planning, execution, and monitoring of healthcare innovation projects.

Job Purpose

The Research Fellow / Research Engineer (with focus on MedTech / HealthTech Engineering) will support applied research and innovation in community and allied health by translating clinical and operational needs into engineering requirements, prototypes, technical evaluations, deployment support and evidence reports. The role focuses on hands-on medtech / healthtech engineering, project coordination and implementation support for healthcare projects.

This role is focused on MedTech / HealthTech Engineering. The candidate should have good project-management discipline and experience coordinating engineering, prototyping, testing or implementation workstreams with clear outcomes delivered. The Research Fellow / Research Engineer will support academic staff and project leads, and contribute his/her assigned share to team-level KPI targets through practical engineering and deployment outputs.

Key Responsibilities

Applied Research & Development

• Translate clinical needs assessment and workflow analysis into engineering requirements for organisational innovation transition, focusing on but not limited to community and aged care settings, nursing homes, hospitals, home-based care and palliative care settings.
• Develop medtech / healthtech solution concepts, technical specifications and prototype roadmaps for organisational transition, focusing on but not limited to long-term bedridden patient care, caregiver workload reduction, care automation and assistive technologies.
• Develop and execute healthcare innovation projects by supporting design, prototyping, testing, technical evaluation, data collection and implementation for Proof of Concept (POC) and deployment in community-care or healthcare settings.

Industry Collaboration

• Support collaborations with industry and healthcare partners to understand technical problem statements, user requirements, operating constraints and integration needs, and contribute to practical engineering solution development.
• Assist in project scoping by gathering engineering, technical, integration and validation inputs, and by identifying relevant capabilities within the ecosystem (IHLs, research centres, industry partners).
• Participate in industry meetings, discussions, and project engagements.

Project Execution & Support

• Assist Professional Officers, faculty and project leads in planning, coordinating and executing assigned medtech / healthtech engineering workstreams, including timeline tracking, documentation and follow-up on deliverables linked to the committed KPI areas: service volume, innovation initiatives, value capture, manpower training and ecosystem establishment.
• Generate technical reports, presentations, design notes, prototype records, test plans, validation summaries, deployment trackers and evidence documentation on the development, validation, deployment and value capture of healthcare solutions and applications.
• Contribute to grant proposals and project submissions where required.
• Track project progress and maintain proper documentation of milestones, deliverables, risks/issues, partner inputs, funding status and measurable outcomes for assigned projects.
• Support the IaaS Center for Community and Allied Health Innovation in achieving team-level KPI outcomes through assigned engineering, technical documentation and project support tasks.
• Contribute to assigned analytics workstreams and projects, including data analytics projects and digital dashboard development for industry partners, hospitals, aged care homes, and non-profit organisations, encompassing proposal development, partner engagement, analytics scoping, and project documentation.
• Coordinate assigned workstreams within the team's innovation portfolio, supporting the delivery and deployment of new or improved products, processes, and services to healthcare and community organisations, while monitoring implementation, adoption, and analytics evidence to support value-capture documentation.
• Support training, demonstration, and workshop delivery for company employees and healthcare professionals, contributing to the team's capability-building and knowledge-transfer goals.
• Role-specific skill focus — MedTech / HealthTech Engineering: translate user and clinical needs into engineering requirements; support design, prototyping, testing, validation, integration and deployment; prepare technical documentation and evidence for KPI and project-outcome reporting, including outreach to companies and/or healthcare providers; and translate engineering findings into practical recommendations for Professional Officers, faculty, project leads and healthcare partners.

Job Requirements

• Bachelor's degree with 5+ years experience OR Master's degree with 2+ years experience in Biomedical Engineering, Mechanical Engineering, Electrical / Electronic Engineering, Computer Engineering, HealthTech, MedTech, Product Development, Clinical Engineering or related disciplines with relevant experience in engineering, prototyping, product development or healthcare innovation related work.
• Strong knowledge and experience in clinical workflows, particularly in hospitals, nursing homes, home-based care, palliative care settings and other community care settings.
• Hands-on experience in clinical validation studies, including patient needs assessment and usability testing, is highly advantageous.
• Possess understanding of healthcare innovation concepts (e.g., medtech / healthtech development, prototyping, care automation, commercialisation, health economics and value capture).
• Strong analytical skills and attention to detail. Excellent written and verbal communication skills.
• Resourceful, meticulous and problem-solving attitude.
• Experience supporting or coordinating industry or applied research projects, preferably involving medtech / healthtech engineering, biomedical devices, assistive technologies, digital health, care automation, clinical workflow optimisation or healthcare innovation solutions.
• Ability to document project outputs, implementation progress, stakeholder benefits and other measurable outcomes for assigned work.
• Experience supporting project proposals, funded projects or partner engagements will be advantageous.
• For this MedTech / HealthTech Engineering role, relevant experience in engineering design, prototyping, testing, technical validation, product development, system integration, biomedical devices, assistive technologies, sensors, digital health solutions or equivalent engineering methods is required.
• All Research Fellow / Research Engineer must possess project-management skills and experience managing or coordinating projects/workstreams with good outcomes delivered, including scope, timeline, stakeholder coordination, risk/issue tracking and documentation.

Key Competencies

• Possess understanding of healthcare challenges faced by industries locally and globally, particularly in the community and aged care sectors.
• Strong interpersonal and communication skills to communicate effectively with industry partners and stakeholders.
• Ability to work collaboratively in a cross-functional and multidisciplinary environment.
• Proactive approach to continuous learning and development in the healthcare innovation field.
• Proficient in technical writing and presentation.
• Possess good analytical and critical thinking skills.
• Shows good initiative and takes ownership of work undertaken.
• Project management skills, including planning and execution of medtech / healthtech engineering and implementation projects.
• Project-management discipline to support assigned workstreams, monitor timelines and dependencies, escalate risks, and complete agreed tasks that contribute to team targets.
• Outcome orientation, with ability to document project outputs, stakeholder benefits, implementation progress and individual contribution within a team-based delivery model.
• Capability in medtech / healthtech engineering, including requirements translation, prototyping, testing, validation, integration, technical troubleshooting and preparation of concise reports.
• Ability to coordinate stakeholders, monitor timelines and risks/issues, and deliver assigned project outcomes with clear documentation.
• Ability to work as part of a coordinated delivery team, with clear documentation of assigned engineering outputs, validation evidence and project outcomes toward the overall KPI commitments.

Company Overview

D' CUISINES PTE. LTD.

Job Summary

Lead and manage kitchen operations by planning food preparation, supervising staff, controlling costs, and ensuring hygiene and safety standards to deliver high-quality culinary experiences across diverse cuisines.

Responsibilities

• Plan and direct food preparation and culinary activities across diverse cuisines to ensure consistent quality and customer satisfaction
• Modify existing menus or develop new menus that meet established quality and taste standards
• Estimate food requirements and calculate food and labor costs to implement effective cost control measures
• Supervise kitchen staff activities to maintain high hygiene standards and operational efficiency
• Coordinate equipment purchases and repairs to ensure kitchen functionality and safety
• Recruit, train, and manage kitchen staff to build a skilled and motivated team
• Resolve operational problems and customer complaints promptly to maintain service quality
• Apply garnishing techniques to enhance the presentation of prepared dishes before serving
• Perform administrative duties including purchasing and stock management to support kitchen operations
• Ensure compliance with nutrition, sanitation regulations, and safety standards to uphold food safety
• Maintain accurate timekeeping and payroll records for kitchen staff
• Foster a positive and professional work environment through effective collaboration with coworkers and customers
• Support management initiatives by contributing ideas and maintaining a cooperative, revenue-focused mindset
• Execute other ad-hoc duties assigned by the general manager to support overall kitchen operations

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

Roles and Responsibilities:

Credit Research sits within Global Markets, helping the group’s clients and internal stakeholders stay one step ahead in credit market developments. As a credit research analyst within OCBC Research, you will support the production of independent, high-quality fundamental credit research for the OCBC Research Credit Research Team, while also contributing to the generation of sector-level insights and thematic reports to support the sales and trading strategies for the group’s clients.

This position is ideally suited for an analytically curious and proactive individual who is developing expertise in credit research and seeks to build a long-term career as a sell-side analyst within a leading financial institution. The successful candidate will combine their analytical skills with solid written and verbal communication abilities to support the delivery of actionable investment views and market commentary that enhance the group’s client offering and internal decision-making processes.

Key Responsibilities:

• Fundamental Credit Research

Conduct fundamental and relative-value analysis on a defined list of corporate and/or financial services credits under the guidance of senior analysts. Monitor current developments in macro-economic and credit markets to assess evolving risk profiles. Maintain credit assessments and financial models for assigned issuers.

• Sector and Thematic Research

Contribute to sector outlooks and comparative analyses periodically and when necessary, by collecting and analysing market data that highlights key credit drivers, market trends, and relative-value opportunities. Monitoring structural, regulatory, or macroeconomic trends impacting credit markets to support the generation of thematic research pieces. Assist in the effective distribution of research through charts, data, and comparative analyses to support published reports, client calls, and presentations.

• External and Internal Client Engagement, Market Monitoring

Support client marketing initiatives, issuer and investor meetings, and public conferences that represent the group’s credit research capabilities. Contribute to relevant media outreach opportunities that build OCBC’s brand awareness across multiple platforms. Monitor relevant news flow, spreads, and primary/secondary market activity to identify material changes in credit sentiment and provide timely updates and summaries to internal stakeholders (sales, trading, strategy, and risk teams). Contribute to internal research briefings and strategy discussions as required.

• Research Production and Client Support

Ensure research outputs meet the group’s quality, compliance, and branding requirements. Address and resolve any compliance or distribution issues for the Credit Research team. Support client requests and queries in coordination with senior analysts and sales teams. Ensuring compliance with internal policies (in particular trading and conflict of interest) and MAS regulations as is relevant to research analysts.

Reporting to:

Head of Credit Research

Requirements

Relevant experience in credit research, fixed income, investment banking, or a related analytical role. Solid foundation in financial statement analysis, creation and analysis of credit metrics, and relative valuation methodologies. Familiarity with bond markets, capital structures, and rating agency frameworks. Proficiency in Bloomberg, Word, Excel, and PowerPoint; experience in data analytics or automation tools (e.g. Python, VBA) is a plus. Bachelor’s degree in Finance, Accounting, Economics, or related field; CFA or progress toward CFA designation preferred. Strong written and verbal communication skills. Familiarity and interest in sustainability topics is a plus.

Key Attributes

Analytical curiosity and a commitment to and interest in continuous learning. A self-starter and able to work independently on assigned tasks with a strong sense of ownership and accountability for assigned work. Equally important, however, is the ability to collaborate effectively with colleagues in a team environment and proactively contribute to team tasks. Ability to manage multiple priorities in a fast-paced environment. Willingness to build integrity, professionalism, and sound judgement in all aspects of research output and an excellent attention to detail and consistency in research output.

Who we are
As Singapore's longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.

Today, we're on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation.
But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia's leading financial services partner for a sustainable future.

We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career. Your Opportunity Starts Here.

What we offer
Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Equal opportunity. Fair employment. Selection based on ability and fit with our culture and values. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Biological-Sciences%29/33316-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Molecular Breeding Laboratory at the Lee Hiok Kwee Functional Genomics Laboratories, Department of Biological Sciences led by Associate Professor Chew Fook Tim, is currently looking for TWO Research Fellows with relevant PhDs, and TWO Research Assistants with BSc(Hons) degree or MSc in relevant fields and background, to join the project on the Molecular Breeding of Leafy Greens and Fruiting Vegetables / Seed Innovation Hub.

The work would include:

• Large-scale Global Germplasm Evaluation and Assessment,
• Key Deep Phenotypic Definition and Evaluation, including molecular, cell culture-based and biochemical bioassays,
• Characterization of Genetic Control, Genome-wide Associations, and Functional Characterization of Candidates,
• Crossing, Cultivar and Lines Development,
• Integration of Genomic Data into Cultivation Processes,
• Multi-Location Trial Evaluations, 
• Project Management of External Collaborations, and
• Scientific Communications and Publications.

Qualifications

PhD Degree in Science and in related fields.

Skills:

• Strong motivation and leadership in pursuing challenging scientific questions.
• An ability to work well with interdisciplinary colleagues.
• Experience in mentoring and training junior researchers (including undergraduates and polytechnic interns).
• Excellent written and interpersonal communication skills.
• Good time and resource management skills.

Experience:

• Experience in Bioinformatics / Genetics / Statistics is mandatory and should be able to code in R.
• In addition, experience in Plant Molecular Biology techniques including CRISPR and Functional Characterization of Genetic Control, Large Scale -omics Technologies, and Data Analysis, would be an advantage.