Total 4,356 job vacancies in Singapore

❤️Sales Associate (100% Customers Provided)

(Looking For New Career Opportunity + No Relevant Experience Required)

❤️Earn $3000 Salary + High Active Comms = $8000-$10000 Income Monthly, Excluding Other Monetary Rewards - Incentives, Recurring Comms, Year Bonus, Loyalty Benefits, Career Progression Etc

(It Is Common For New Personnels Without Experience To Fetch At Least $8000 Monthly Income Over Here)

Job Summary

The Market Research Analyst is responsible for collecting, analyzing, and interpreting market data to help the company understand industry trends, customer preferences, competitor activities, and business opportunities. The role supports management in making informed strategic and operational decisions through data-driven insights.

Key Responsibilities

• Conduct market research and analyze industry trends, customer behavior, and competitor activities.
• Gather data from various sources including surveys, reports, databases, and online research.
• Prepare market intelligence reports and present findings to management.
• Monitor market developments, emerging trends, and changes in customer needs.
• Analyze sales, pricing, and product performance data to identify growth opportunities.
• Support product development, marketing campaigns, and business expansion initiatives with research insights.
• Design and manage surveys, questionnaires, and other research methodologies.
• Evaluate competitor products, pricing strategies, and market positioning.
• Develop forecasts and recommendations based on research findings.
• Maintain and update market research databases and reporting tools.

Requirements

• Bachelor's Degree in Marketing, Business Administration, Economics, Statistics, or related field.
• Proven experience in market research, business analysis, or related roles.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel, PowerPoint, and data analysis tools.
• Excellent report writing and presentation skills.
• Ability to interpret complex data and provide actionable recommendations.
• Strong attention to detail and organizational skills.
• Good communication and stakeholder management abilities.

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/Assistant-Manager%2C-Contracts-&-Admin-Management/33092-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The candidate will be responsible for developing printable inks based on natural material-derived precursors, such as natural materials-derived calcium phosphate, or related biomineral materials. The work will involve optimizing ink rheology, printability, shape fidelity, and structural stability for extrusion-based 3D printing. The candidate will also design and fabricate porous scaffold architectures with controlled pore size, porosity, and interconnectivity, while optimizing printing parameters such as nozzle size, extrusion pressure, printing speed, and layer height.

A key part of the project will involve post-processing and material conversion of the printed constructs. The candidate will develop and optimize sintering or thermal treatment protocols to convert printed structures into bone-relevant ceramic phases. Through this process, the candidate will help tune the phase composition and mechanical performance of the scaffolds, with the goal of producing reproducible and scalable bone implant prototypes.

Qualifications

•             Bachelor’s degree in mechanical engineering, materials science, or a related field

•             Demonstrated experience in material characterization

•             Team player, able to work collaboratively in a team environment

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University of Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are partnering with universities, public agencies, and industry to advance future technologies.

The HEARTwise project is a public-private research initiative funded by Singapore's National Research Foundation, bringing together clinical cardiologists (CADENCE / NUHS, NHCS), engineers from TUM and TUMCREATE, and MedTech partners. The project develops a multimodal platform for non-invasive, early decompensation detection in ambulant HF patients – combining wearable mobility sensing, heart and lung sound recognition, and integration with additional digital biomarker sources.

As a member of the HEARTwise team, you will collaborate within an interdisciplinary consortium comprising leading experts in cardiology, telemedicine, biomedical engineering, acoustics, data privacy, and industry.

Please visit www.tum-create.edu.sg for more information about TUMCREATE.

Background & Scientific Context

Heart failure (HF) affects 2.5% of Singapore's population and is the leading cardiac cause of hospital admission – presenting a decade earlier and more aggressively than in Europe or North America. The 30% rehospitalization rate within 90 days of discharge is both a major clinical burden and a window of opportunity for early, data-driven intervention.

Job Summary

We are seeking a highly motivated and skilled researcher with proven expertise in machine learning for audio analysis. Within HEARTwise at TUMCREATE, you will lead the development of artificial intelligence algorithms for audio classification of heart and lung sounds. Through multimodal integration with data from mobility sensing and other biomarkers, you will create a reliable tool for early decompensation detection in ambulant HF patients. You will be working in a team developing a tool for audio data collection in the clinic, running a clinical study for data collection, working with clinicians to create an annotated database, and validating your classification prototype in a pilot clinical diagnostic study.

This is a fixed-term contract until March 2029 when applicable.

Key Responsibilities

• Develop prototype algorithms for audio classification of heart and lung sounds.
• Contribute to clinical data collection, database building, multimodal data analysis,clinical prototype app development.
• Verify the technology against requirements and validate in a pilot clinical study.
• Collaborate with experts in cardiology, telemedicine, biomedical engineering, acoustics, and data privacy
• Write scientific manuscripts, contribute to project reports, and present findings at international conferences and stakeholder meetings.

Key Competencies

• At least 1 year of proven expertise in deep learning signal analysis,preferably with audio data.
• Excellent written and verbal communication skills in English, with the ability to communicate complex analytical results to multidisciplinary teams.
• Demonstrated ability to work independently and collaboratively in a fast-paced, international research environment.

Qualification Requirements

• We are seeking a researcher with a PhD degree in electrical engineering,physics, data science, computer science, or similar, and a proven track record in machine learning and (audio) signal processing. Fresh graduates and PhD candidates will also be considered.
• Proficiency in Python/Matlab and anaconda (or similar).
• Experience in C/C++ and database interfacing and in user or clinical studies is desirable.
• Ideally, the candidate has an interdisciplinary education including acoustics that facilitates collaboration with biomedical engineers.

What we offer

• A collaborative and inclusive world-class research environment.
• Opportunities for professional development.
• Engagement with a leading international team addressing interdisciplinary challenges in heart failure management.

Applications

Please submit the following compulsory documents to hr@tum-create.edu.sg:

• Cover letter
• CV
• University transcripts

Only shortlisted candidates will be contacted.

We look forward to your application!

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University of Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are partnering with universities, public agencies, and industry to advance future technologies.

The HEARTwise project is a public-private research initiative funded by Singapore's National Research Foundation, bringing together clinical cardiologists (CADENCE / NUHS, NHCS),engineers from TUM and TUMCREATE, and MedTech partners. The project develops a multimodal platform for non-invasive, early decompensation detection inambulant HF patients – combining wearable mobility sensing, heart and lung sound recognition, and integration with additional digital biomarker sources.

As a member of the HEARTwise team, you will collaborate within an interdisciplinary consortium comprising leading experts in cardiology, telemedicine, biomedical engineering, acoustics, data privacy, and industry.

Please visit www.tum-create.edu.sg for more information about TUMCREATE.

Background & Scientific Context

Heart failure (HF) affects 2.5% of Singapore's population and is the leading cardiac cause of hospital admission – presenting a decade earlier and more aggressively than in Europe or North America. The 30% rehospitalization rate within 90 days of discharge is both a major clinical burden and a window of opportunity for early, data-driven intervention.

Job Summary

We are seeking a highly motivated and skilled researcher with proven expertise in signal processing, in user or patient research studies, and in creating software for participant testing. You will collaborate with clinicians and be responsible for audio data collection of heart and lung sounds in the clinic, for creating an annotated database, and for validating sound classification prototypes in a pilot clinical diagnostic study. You will work on prototype algorithms for classification of heart and lung sounds and develop approaches for integrating multimodal data from mobility sensing and other biomarkers to create a reliable tool for early decompensation detection in ambulant HF patients.

This is a fixed-term contract until March 2029 when applicable.

Key Responsibilities

• Work on classification algorithms of heart and lung sounds, on multimodal data analysis and fusion, and on verifying the technology against requirements.
• Work with clinicians on data collection from heart failure patients and build a database under consideration of data protection and ethical requirements
• Develop a tool for audio data collection in the clinic, advance it into a clinical audio classification prototype and validate it in a pilot clinical study.
• Collaborate with experts in cardiology, telemedicine, biomedical engineering, acoustics, and data privacy
• Write scientific manuscripts, contribute to project reports, and present findings at international conferences and stakeholder meetings.

Key Competencies

• At least 1 year of proven expertise in signal processing, user or patient studies, and in creating software for participant testing.
• Excellent written and verbal communication skills in English, with the ability to communicate complex analytical results to multidisciplinary teams.
• Demonstrated ability to work independently and collaboratively in a fast-paced, international research environment.

Qualification Requirements

• We are seeking a researcher with a PhD degree in hearing research, electrical engineering, biomedical engineering, human factors engineering, (medical) physics, computer science or similar and a proven track record in (audio) signal processing and in developing and conducting research studies with users or patients. Fresh graduates, PhD candidates and Engineers in similar fields will also be considered.
• Proficiency in C/C++,Matlab/Python and anaconda (or similar).
• Experience in machine learning and database interfacing is highly desirable.
• Ideally, the candidate has an interdisciplinary education including acoustics that facilitates collaboration with biomedical engineers.

What we offer

• A collaborative and inclusive world-class research environment.
• Opportunities for professional development.
• Engagement with a leading international team addressing interdisciplinary challenges in heart failure management.

Applications

Please submit the following compulsory documents to hr@tum-create.edu.sg:

• Cover letter
• CV
• University transcripts

Only shortlisted candidates will be contacted.

We look forward to your application!

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

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

We are looking for a highly motivated Research Fellow to lead AI for Science (AI4S) research, to develop AI software powered by large language models (LLMs) for process engineering and materials discovery, to mentor students, and to contribute to grant writing and publications.

Key Responsibilities:

• Participate in the conduct of research project with research team members to ensure completion of deliverables

• Develop LLM-based AI software to support process engineering and materials simulation and accelerate the discovery of novel materials

• Mentoring students in academic research related to AI4S

• Assist or write high quality reports and documents that consolidate research findings

Job Requirements:

• PhD in Computer Science, Artificial Intelligence, Process Engineering or related domains, with a research focus on LLMs.

• At least 1 year of experience in AI4S. International collaboration experience is preferred.

• Familiarity with legal and ethical compliance in AI4S.

• Good written and oral communication skills. Candidates with publications in both computer science and materials science are preferred.

• Proficiency in technical skills, including but not limited to Linux, Python, and PyTorch.

• Excellent leadership, communication, and organizational skills. Experience leading research projects is a plus.

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

The role of the Research Officer is to identify research streams, variables, data collection techniques and analysis methods that will be viable in translating research findings into clinical implementation. You will oversee the smooth running and track progress of the research study related activities and projects by working closely with the Principal Investigator and other members of the research team. You will monitor the project to make sure it follows the requirements and regulations and adhere to Standard Operating Procedures (SOPS), maintain data security, ensure quality control of experiments and comply to lab safety terms.

- Knowledgeable in various molecular and genomic biology techniques required for the conducting of research activities which include Spatial genomics sample prep, Cryosectioning, H&E staining, library prep as well as ultra-high throughput NGS sequencing workflows.

Your responsibilities include:

- Familiar with entry and validation of research data, filtering of relevant information, analysis of experimental data to extract relevant findings and presentation of them in a clear manner. Maintenance of existing database and compliance to data storage and security.

- Aware of the various reagents and consumables in the lab and check their stock take daily.

- QC various equipment in the lab to ensure they are in running smoothly. To highlight when stock is low, or maintenance is faulty to lab members to allow for troubleshooting and procurement of essential items to keep the lab running.

- Alert to lab safety procedures and compliance by adhering to the SOPS required for conducting research activities in a safe manner in a safe environment.

- Record proper documentation of all processes and documentation of lab equipment in accordance with quality requirements.

- Strongly encouraged to identify steams of research activities where procedures can be further optimized and to design improved experimental protocols where necessary.

- Participate in lab meetings, presentations, manuscript preparations, journal clubs to facilitate the exchange of knowledge among the team.

- Lead and mentor junior staff in sample processing, experiments, data analysis, and database updates. Supervise and train research attachment interns and assist their queries.

- Support the team with ad hoc activities which can include taking meeting minutes, tracking the progress of various projects ongoing in the lab, liaising with stakeholder to establish research needs, managing workload of the lab and any other duties as assigned.

Requirements:

- Degree/Diploma in Life Science or its equivalent.

- Prior work experience in a healthcare or research field setting would be prioritized.

- Knowledge in cryosectioning, paraffin sectioning, IHC staining, H&E staining, blood sample processing, western blot, and DNA/RNA extraction for next-generation sequencing will be a plus.

- Previous experience in handling small animals would be advantageous.

- Strong technical wet lab skills, able to troubleshoot, and meticulous in data analysis/experimental design would be preferred.

- Proficient in Microsoft Office applications.

- Proficient in English.

- Good interpersonal and communication skills; and comfortable interacting with healthcare professionals.

- Meticulous, a good team player, independent and self-motivated with good time management abilities.

- Good memory and strong organization skill with and eye for detail; able to take initiative and perform under pressure and tight deadline.

- Responsible and passionate about oncology clinical research.

At Optiver we operate without bureaucracy, without hierarchy and without egos. We are a trading firm that combines diverse skill sets, unique minds and the desire to be better. We’re passionate, driven and collaborative when it comes to tackling interesting problems. That’s where you come in.

Optiver is looking for an Commodities Analyst to join our growing Singapore office in the Commodities trading team.

WHO WE ARE

Optiver is global electronic market maker. We use our own capital, at our own risk, to trade on major financial markets around the world, 24 hours a day. We aim to always provide prices for a wide range of products including listed derivatives, equities, ETFs, bonds and foreign exchange. As such, we have no clients but provide liquidity services to the financial markets on which we trade. We do this by developing our own trading strategies and systems, using originally developed code and cutting-edge technology.

Optiver Asia Pacific represents one of three business units of the Optiver group (the others being Europe and the US). The Asia Pacific business unit includes the following locations: Sydney (regional headquarters); Hong Kong; Shanghai; Singapore; Taipei and Mumbai. The business in Singapore is deemed to be an integral part of the APAC strategy over the coming years with anticipation of significant growth.

WHAT YOU’LL DO

As a Quantitative Research Analyst, you’ll provide analysis in the commodity space. Your main responsibilities include:

• Conducting research for improving predictions in the commodities markets
• Using data to gather insights, improve decision making and performance
• Being a subject matter expert on your given market and asset class
• Driving continuous improvement
• Developing position-taking strategies on key markets leveraging fundamental and quantitative analysis
• Making good risk reward trading decisions based on analyzing large and complex data sets
• Collaborate with other trading members to improve other strategies from a quantitative perspective

WHO YOU ARE

To succeed in this role, you’ll need to have the below skills and experience:

• Strong analytical and quantitative skills with the ability to work with data to look for creative trading solutions to real world events
• Exceptional analytical skills, particularly in terms of identifying opportunities when analysing large data sets
• Extensive mathematical and statistical modelling skills, utilising a range of techniques
• Strong programming or scripting skills to develop your own robust models and algorithms to offer the best price on the products traded
• Ability to build tools and conduct analysis that take trading strategies to the next level
• Passion for trading and research and a strong desire to continuously improve
• Strong communication skills and ability to work in a fast paced environment
• Collaborative attitude and continuous improvement mindset

WHAT YOU’LL GET

• The chance to work alongside diverse, intelligent, and driven peers in a rewarding environment
• Competitive remuneration, including an attractive bonus structure and additional leave entitlements
• Training, mentorship and personal development opportunities
• Gym membership plus weekly in-house chair massages
• Daily breakfast and lunch
• Regular social events including an annual company trip
• A work-from-home allowance and support
• Guided relocation, a competitive relocation package and visa sponsorship where necessary.

As an intentionally flat organisation, we believe that great ideas and impact can come from everyone. We are passionate about empowering individuals and creating diverse teams that thrive. Every person at Optiver should feel included, valued and respected, because we believe our best work is done together.

Optiver encourages Singaporean nationals and Permanent Residents to apply. Our commitment to diversity and inclusion is hardwired through every stage of our hiring process, we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities.

Job Description & Requirements

1. Purpose of Position

This role contributes to research-based activities in the field of Cybersecurity at Curtin Singapore.

2. Accountabilities and Responsibilities

Leadership & Service

• Contribute to the development of a collegial and supportive working environment.

• Foster and promote relationships with industry and affiliated associations, and the wider community.

Research

In conjunction with the Head of School of Science, Technology, and Engineering, agree on a program of research that may include but is not limited to:

• Undertaking high-quality research in cybersecurity.

• Work closely with industry partners on key projects as agreed with the Head of School of Science, Technology, and Engineering.

• Participating in applications for competitive funding as appropriate.

• Disseminating research findings through seminars, workshops, and conferences.

• Publishing in high-quality refereed journals in a manner consistent with disciplinary practice.

• Where appropriate, providing effective co-supervision of research students.

Other

• Engage in appropriate professional development and mentoring programs.

• Undertake administrative functions associated with research activities as required.

• Model a high standard of professional behaviour consistent with the University Code of Conduct and its Vision, Mission and Values.

• Undertake other activities as directed by the Head of School of Science, Technology, and Engineering and/or the PVC and President.

3. Selection Criteria

Applicants are not required to address each element of the selection criteria but should provide sufficient information in their application to enable the selection panel to make an informed assessment of their suitability for the role.

Selection Criteria for Curtin Singapore Research Fellow

Essential

1. A doctoral qualification in Cybersecurity.

2. Evidence of quality research outputs consistent with the discipline (relative to opportunity).

3. Demonstrated high-level communication and interpersonal skills with a commitment to the development of a collegial and supportive working environment and the ability to interact with students and staff with cross-cultural sensitivity.

Desirable

1. Demonstrated ability to supervise HDR students (relative to opportunity).

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/Senior-Manager-%28IT-Project-and-Product-Management%29-Faculty-and-Research-Systems/32747-en_GB/

We regret that only shortlisted candidates will be notified.

About NUS IT

NUS Information Technology is the cornerstone to providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning.  

We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a "can-do" attitude.  We embrace collaboration, open communication and knowledge sharing. If you see yourself thriving in a dynamic environment and breaking new grounds with innovative ideas, you will find yourself at home in NUS IT.  

As part of our team, you can look forward to an empowered work environment that allows you to take charge of your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future.  

https://nusit.nus.edu.sg/ 

Job Description

You will lead product development, AI delivery, and digital partnership for Faculty and Research systems at NUS. Working closely with faculties, vendors, and cross-functional IT teams, you will translate business needs into technology outcomes that advance NUS' academic and operational goals. This is a hands-on leadership role suited to someone equally comfortable with strategy and delivery.

Duties and Responsibilities

Product Development & Lifecycle Management

• Own the product roadmap for Faculty and Research platforms across the full lifecycle - from discovery and requirements through to delivery, launch, and iteration.
• Develop and maintain a product roadmap aligned with user needs, NUS IT direction, and relevant market developments - engaging regularly with business users and stakeholders to spearhead, gather, clarify, and prioritise requirements into a well-structured product backlog.
• Work cross-functionally with architecture, security, and engineering teams to ensure products are scalable, compliant, and fit for purpose.
• Use prototypes and proof-of-concepts to validate ideas early and reduce delivery risk.
• Drive continuous product improvement through post-launch data analysis and structured user feedback.

AI Solution Delivery

• Identify opportunities where AI can improve processes, enhance user experience, or unlock new capabilities across Faculty and Research domains.
• Translate business needs into clearly defined AI use cases, shaping functional requirements, solution approaches, and measurable success criteria.
• Apply practical understanding of AI approaches - including generative AI, predictive analytics, and workflow automation - to support solution design and implementation.
• Lead end-to-end delivery of AI solutions, from discovery and prototyping through implementation, rollout, adoption, and continuous improvement.
• Drive the design and implementation of agentic workflows and AI-powered automations using orchestration platforms such as n8n, integrating them with enterprise systems, data sources, and business processes where appropriate.

Project Delivery

• Manage end-to-end project delivery - scoping, planning, execution, UAT, and go-live - ensuring targets, quality standards, and NUS governance requirements are met.
• Handle procurement activities including tender preparation, vendor evaluation, and contract management.
• Produce and review project artefacts to ensure compliance with NUS IT policies and audit requirements.
• Coordinate vendors and internal teams to keep delivery on track and within scope.
• Lead and motivate project teams, balancing resource optimisation with team wellbeing.

Strategic Partnership & Faculty Engagement

• Serve as the primary IT account manager for assigned faculties and departments - building trusted relationships with Deans, Heads, and administrative leaders to understand their priorities and co-develop technology plans.
• Align faculty technology needs with NUS IT strategy through bi-annual digital planning cycles, ensuring investments are well-prioritised and outcomes are tracked.
• Facilitate faculty digitalisation efforts by identifying opportunities, championing adoption of new tools, and supporting change management on the ground.
• Represent faculty interests in university-wide IT governance and planning forums.
• Conduct regular service and strategic reviews with stakeholders to ensure IT remains responsive and forward-looking.

Operations & Continuous Improvement

• Oversee application maintenance and support for Faculty systems, ensuring SLAs are consistently met and issues are resolved efficiently.
• Drive a proactive operations model - using data and system analytics to identify trends and address issues before they escalate.
• Collaborate with faculty partners on enhancement prioritisation, progressively automating routine processes to free capacity for higher-value work.
• Manage vendor performance with accountability, ensuring support obligations are met and improvement opportunities are acted on.
• Ensure ongoing compliance with audit, security, and data governance requirements.

Qualifications

• Degree in Information Technology, Computer Science, Computer Engineering, or equivalent.
• At least 10 years of IT experience, including 3+ years in a technical role and 7+ years in project or product management.
• Strong grasp of modern IT technologies, methodologies, architectures, and best practices.
• AI FluencyHands-on experience delivering AI or data-driven initiatives in a complex, multi-stakeholder environment.Practical understanding of modern AI concepts - including generative AI, agentic AI, and predictive/machine learning approaches.Relevant AI certifications, hands-on experience with AI platforms/orchestration tools, or demonstrated continuous learning in the AI domain will be an advantage.

• Strong analytical and communication skills — able to engage credibly with both technical teams and senior business stakeholders. The ability to understand the business questions that users are trying to answer is essential.
• Self-driven, organised, and comfortable managing multiple workstreams with competing priorities.
• PMP, CITPM, or CSPO certification is an advantage.
• Certifications in AI are highly preferred and will be considered an added advantage.
• Experience in the higher education sector is a bonus.

• Assists in scheduling appointments for patients and/or provides information related to appointments to patients respectively
• Performs administrative duties such as filing referral documents, department's records, updating rosters and department statistics reports
• Performs other duties assigned by supervisor

WA me at http://wa.me/+6598326219 or tele me at @sallytsin

For interested candidates, please send your most recent and updated resume to sallytsin@recruitexpress.com.sg

Tsin Chien Yee Sally
R25127272
Recruit Express Pte Ltd
EA License No. 99C4599

Sales & Marketing Associate

Join a dynamic team specializing in events, roadshows, and brand campaigns. Gain valuable experience in communication, sales, and leadership while working in a fast-paced environment.

Responsibilities

• Represent brands at events and campaigns
• Engage customers through face-to-face interactions
• Support marketing and campaign execution
• Develop leadership and management skills

Requirements

• Positive attitude and willingness to learn
• Strong communication skills
• Team player with a growth mindset
• No experience required; training provided

Benefits

• Performance-based earnings
• Structured training and 1-to-1 mentorship
• Clear career progression
• Travel opportunities
• Fun, supportive and energetic team culture

Fresh graduates and career switchers are welcome to APPLY!

Job Scope

• Performing reception and front desk duties.
• Portering and Triaging duties such as transfer of patients from one location to another.
• Attending to all enquires of patients and visitors including phone enquiries.
• Perform any duties as assigned.

Requirements

• Minimum GCE N Levels/O levels/A Levels/Diploma in any discipline
• No working experience required as on-the-job training is provided
• Good communication and interpersonal skills

Working Hours: AM Shift 730am - 330pm / PM Shift 12pm-9pm/ MN Shift 9pm - 9am (5 days per week)

For interested candidates, please send your most recent and updated resume tosallytsin@recruitexpress.com.sg

WA me at http://wa.me/+6598326219 or tele me at @sallytsin

Tsin Chien Yee Sally
R25127272
Recruit Express Pte Ltd
EA License No. 99C4599

About Us:

From business process re-engineering to global business expansion for Japanese corporations, ABeam Consulting has served our clients through more than 40 years of growth. With our vision of being the No.1 global consulting firm from Asia, ABeam Consulting helps our clients take on the challenge of business transformation. With 4,400 consultants in Japan, and3,100 in overseas offices concentrated in Asia, our 7,500 consultants and global alliance partners provide truly comprehensive services.

Responsibilities:

• Plan and oversee the Local Settlement MX Migration project following the official announcement expected in early 2026, including requirements confirmation, impact analysis on operations and systems, system development, and testing.
• Coordinate with branches to ensure ownership of planning tasks, including potential buddy bank testing if requested by local authorities.
• Manage the ISO20022 Hybrid Address Format System Enhancement and SWIFT Standards Release2026 projects, monitoring timelines, deliverables, and dependencies across branches.
• Identify, escalate, and resolve delays or risks, while preparing and consolidating weekly or monthly project status reports for stakeholders.
• Facilitate communication and issue resolution by coordinating cross-functional teams such as IT, Compliance, and APAC branches.
• Create clear and impactful deliverables in PowerPoint and Excel to visualize project progress and provide stakeholders with concise reporting materials.
• Organize issues and discussion points, compare potential solutions, and prepare decision-support materials for clients.
• Analyse information required for decision-making and present findings using graphs, charts, and other visual formats.

Requirements:

• Bachelor's degree in any related fields.
• Minimum 5 years of experience in similar roles involving stakeholder coordination within a financial institution, preferably banking.
• Demonstrated proactive communication and relationship-building skills, actively engaging with bank staff, local site personnel, and stakeholders to maintain frequent communication and foster strong working relationships that support consultation and alignment.
• Proven self-driven project management capability, independently identifying key issues, engaging stakeholders, driving tasks forward, and preparing materials to support decision-making, even when counterparts are not deeply involved in daily operations.
• Ability to prepare structured materials tailored for multiple audiences, including progress reports for management, operational documentation for staff, and coordination materials for stakeholders.
•  Strong issue structuring and problem management skills, with the ability to analyze background, root causes, impacts, action plans, and decision points beyond simple task tracking.
• Business-oriented PMO and project execution capability, ensuring alignment of system-related tasks with user-side and operational requirements to drive projects in line with business operations.
• Effective review and quality assurance capability, providing clear instructions to junior staff, reviewing deliverables, ensuring quality, and supplementing external communication when necessary.
• Good communication skills in English are required. Proficiency in Japanese language will be an added advantage to support coordination and reporting with headquarters, FCCD, and Japanese-speaking stakeholders across different regions.
• A business process improvement mindset, with the ability to identify improvement opportunities, prioritize issues, and propose solutions beyond basic operational support.

Why Join Us

At ABeam Consulting, we place a strong emphasis on collaboration, and helping our employees grow and develop their skills, offering a supportive and empowering work environment. With a presence in multiple countries and a diverse range of clients, ABeam Consulting offers an exciting and dynamic workplace for individuals looking to build a career in consulting. ABeam Consulting has also recently joined SAP’s regional strategic partner initiative as their first regional partner in the region and has also been recognized by UiPath as a Diamond Partner in providing RPA solutions. With such accolades, we aim to continue driving enterprise and digital transformation initiatives in order to transform the way people work and communicate in the digital age. In addition, our industry team is working tirelessly in order to bring more solutions to the banking and finance sector.

We regret only shortlisted candidates will be notified.

Office Hours, 5.5 days

*Must commit for up to 6mths

Job Description:

• Performs picking/packing of medications under Bin Coding System

• Supports Medication Delivery Service (MDS) and PILBOX/EZYBOX Services for remote collection of medications

• Assists in patient management of Scriptless Dispensing workflow
• Perform other ad-hoc duties as assigned

Requirements:

• Minimum Diploma in any courses
• No experience required, job training will be provided

$2000 fixed salary
Office hours, 5.5days

Interested candidates, please forward your resume to kevynhuang@recruitexpress.com.sg

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

Job Responsibilities:

• Supervising residents on a daily basis, overseeing their welfare, discipline, and adherence to institutional standards.
• Providing assistance during emergency shifts.
• Implementing Trauma-informed practices in daily interactions.
• Ensuring the safety and security of premises, including conducting body and property checks, performing security patrols, inspecting dormitories, and conducting urine tests when necessary.
• Managing and catering to the daily living needs of residents in the Hostel.
• Planning and executing engagement activities in educational and recreational programs for residents.
• Cultivating positive relationships with residents.
• Facilitating proactive and restorative circles, demonstrating competence.
• Participating in the admission process.
• Contributing to taskforces to assist and carry out necessary tasks.

Job Requirements:

• Ability to work rotating shifts.
• Independence, resourcefulness, and responsibility.
• Strong commitment to upholding standards and responsiveness in dealing with individuals.
• Excellent analytical and problem-solving skills.
• Effective communication and writing skills.
• Proficiency in MS Word, Excel, etc.

Responsibilities

• Assist in the collection of payment for discharging patients

• Conduct financial counselling for inpatient stay/charges

• Perform discharging procedures for patients

• Obtain follow up appointment for Inpatient patients

• Help in additional responsibilities as assigned by supervisors

Working hours: 2/3 Shifts & Office hours available

For interested candidates, please send your most recent and updated resume to sallytsin@recruitexpress.com.sg

WA me at http://wa.me/+6598326219 or tele me at @sallytsin

Tsin Chien Yee Sally
R25127272
Recruit Express Pte Ltd
EA License No. 99C4599

Responsibilities:

• Greet and register patients
• Schedule patient appointment
• Coordinate specialists' consultation referrals
• Handle payments and respond to patient enquiries in a courteous and professional manner
• Manage patient concerns, ensuring timely resolution and escalation when necessary
• Communicate effectively with patients to provide a high level of customer service
• Will be stationed at Health monitoring station based on roster. Involved in taking height / weight and blood pressure for patients at Health monitoring station

Requirements:

• Minimum GCE ‘N’ level
• No exp needed, training provided
• Healthcare experience will be an advantage but not compulsory

$2500 (Fixed salary)

Interested candidates, please forward your resume to kevynhuang@recruitexpress.com.sg

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

Job Description:

This role is ideal for individuals seeking real-world exposure in sales, marketing, and leadership development. You will be trained to execute campaigns and grow with the company based on performance.

Key Responsibilities:

• Support marketing and customer acquisition campaigns
• Represent brands at events and outreach activities
• Build communication and people-management skills
• Work closely with team leaders to achieve targets

Who Should Apply:
• Individuals who are goal-driven and performance-oriented
• No prior experience required

Benefits:

• Performance-based rewards
• Clear career advancement opportunities
• Ongoing coaching and leadership development

Role Overview

The Operations Specialist role provides end‑to‑end exposure to core hedge fund operational functions, with responsibilities spanning Middle Office & Fund Accounting and Compliance.

This role is open to both fresh graduates and experienced hires. Responsibilities and level of supervision will be calibrated based on the candidate’s prior experience, with a common expectation of independent role ownership by Year 3.

The role is designed to develop professionals who can operate independently within a licensed fund management environment and contribute meaningfully to the firm’s operational, compliance, and governance framework.

Role Structure and Responsibilities

1. Middle Office & Fund Accounting

·      Support daily NAV and P&L review processes to ensure accuracy and completeness

·      Validate trades, corporate actions, and lifecycle events

·      Perform position, cash, and performance reconciliations

·      Liaise with fund administrators, prime brokers, and counterparties

·      Identify, investigate, and resolve breaks in a timely and controlled manner

·      Maintain appropriate documentation to support audit and control requirements

2. Compliance

·      Conduct daily and post‑trade compliance monitoring

·      Support ongoing surveillance of trading and research activities

·      Maintain compliance logs, monitoring records, and internal documentation

·      Assist with internal audits, external audits, and regulatory reviews

·      Support the implementation and maintenance of compliance policies and procedures

Progression and Development

Years 1–2: Integration and Functional Rotation

·      Build operational proficiency across middle office and compliance functions

·      Execute day‑to‑day operational routines with increasing independence

·      Develop a strong understanding of how investment activities interface with operational and compliance requirements

·      Gradually take ownership of defined processes

Year 3 Onwards: Independent Ownership and Broadening Exposure

By Year 3, the Operations Specialist is expected to:

·      Operate independently across assigned middle office and compliance responsibilities

·      Act as a reliable point of contact for internal stakeholders and external service providers

·      Support the COO on operational and governance matters as required

At this stage, the firm encourages exposure to adjacent areas such as:

·      Investor and management reporting

·      Portfolio and risk analytics

·      Marketing and client communications support

·      Operational process improvement and automation initiatives

Required and Preferred Qualifications

Required

·      Degree in Accounting, Finance, Business, or a related discipline

·      Strong attention to detail and execution discipline

·      Willingness to support Japanese market trading hours and follow the Japan trading calendar

·      Proficiency in Japanese (spoken and written) to support communication with Japanese stakeholders, counterparties, and/or review of Japanese-language materials.

·      Professional attitude suited to a regulated fund management environment

Preferred

·      Prior experience in fund accounting, middle office, compliance, or asset management operations

·      Familiarity with hedge fund workflows, service providers, or regulatory expectations

·      Ability to work effectively in a small, high‑accountability team

What Alcea Offers

·      Structured exposure across core hedge fund operational functions

·      Early responsibility within a regulated investment management platform

·      Direct interaction with senior management and service providers

·      A professional environment focused on long‑term development and institutional standards

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.

Role Overview

The Junior Execution Trader role provides direct exposure to the execution function within a hedge fund, supporting the CIO in implementing investment decisions across Japanese equities.

This role sits at the intersection of portfolio management, trading, and market microstructure, with responsibilities spanning trade execution, market monitoring, and trade lifecycle coordination. The position is suited for both fresh graduates and candidates with relevant experience, with responsibilities scaled based on prior exposure and performance.

The role is designed to develop a disciplined and reliable execution professional who can independently manage order flow, interact with counterparties, and contribute to best execution practices within a regulated fund management environment.

Role Structure and Responsibilities

1. Trade Execution & Order Management

·      Execute equity orders in accordance with CIO instructions and strategy requirements

·      Manage order entry, amendments, and allocations across OMS/EMS systems

·      Monitor live orders and market conditions to optimise execution outcomes

·      Apply judgment on execution tactics within defined guidelines

·      Ensure timely and accurate booking of trades

2. Market Monitoring & Execution Support

·      Monitor Japanese equity markets, including price action and liquidity

·      Provide real-time feedback to the CIO on market conditions and execution progress

·      Track order status, fills, and outstanding exposures

·      Coordinate with brokers to source liquidity and manage execution risk

3. Trade Lifecycle & Post-Trade Coordination 

·      Verify trade details against broker confirmations and internal records

·      Liaise with middle office, fund administrators, and brokers to resolve issues 

·      Assist in monitoring settlement cycles and handling trade exceptions 

·      Maintain accurate execution records and audit trails 

4. Broker & Counterparty Interaction 

·      Develop working relationships with broker trading desks 

·      Support evaluation of broker performance and execution quality 

·      Coordinate trade inquiries and allocations with counterparties 

5. Risk Control & Compliance 

·      Adhere strictly to trading limits and internal compliance policies 

·      Support pre-trade and real-time risk checks 

·      Maintain discipline around MNPI awareness 

·      Ensure proper documentation aligned with regulatory expectations 

Progression and Development

Years 1–2:

·      Build core competency in order execution and trading systems

·      Develop familiarity with Japanese market structure

·      Execute trades under supervision with increasing autonomy

Year 3 Onwards:

By Year 3, the Operations Specialist is expected to:

·      Execute trades independently

·      Act as a dependable execution partner to the CIO

·      Manage broker relationships and contribute to best execution outcomes

·      Support improvements in execution processes

Required and Preferred Qualifications

Required

·      Degree in Finance, Economics, Business, or related discipline

·      Strong attention to detail and ability to operate under pressure

·      Willingness to support Japanese market trading hours

·      Proficiency in Japanese (spoken and written)

·      High level of discipline and professionalism

Preferred

·      Prior experience in trading or capital markets

·      Familiarity with equities trading and OMS/EMS platforms

·      Understanding of hedge fund strategies

·      Ability to work effectively in a small, high‑accountability team

What Alcea Offers

·      Direct exposure to the CIO

·      Hands-on experience in execution

·      Early responsibility in a front-office role

·      Interaction with brokers and market participants

·      Professional environment focused on long-term development

Project Overview

The "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)" five-year project was initiated in July 2023. It is driven by the goal of investigating the nature of work, redefining our relationship with technology, and exploring how institutions can adapt to foster liveability, sustainability, innovation, and social welfare.

Successful applicants will have the opportunity to work on cutting-edge projects that aim to develop state-of-the-art AI to create future smart cities. This Postdoctoral Associate position is until June 2028 under the M3S program at SMART. The SMART team seeks to advance the frontier of AI research, apply it to society and cities, and demonstrate the concrete social impacts of the AI algorithms with broad public acceptance in Singapore.

Responsibilities

The SMART-T7 project concerns the design of human-machine systems for the scheduling and allocation of valuable resources in ways that accommodate and optimize for the needs and capabilities of both humans and machines. The project aims to solve diverse use cases in a broad set of application contexts.

The management of large-scale service and infrastructure systems—such as airport operations, urban mobility, last-mile logistics, robotic fleet management and other smart city applications—requires making tightly coupled scheduling and resource allocation decisions under significant operational complexity. These systems are characterized by high-dimensional, combinatorial decision spaces (e.g., assigning flights to gates, vehicles to multi-service tasks, lockers to dynamic demand, or robotic agents to coupled tasks), where interactions and coordination requirements between entities—such as connecting passengers, pooled service requests, customer time windows, and robotic tasks—often introduce intractable structures. At the same time, decision-makers must balance multiple, often conflicting objectives across stakeholders, including efficiency, reliability, and equity, while accounting for dynamic and stochastic demand patterns. The project addresses these challenges through a combination of advanced optimization methods (e.g., flow-based models that strengthen tractability, decomposition methods), learning-enhanced approximations (e.g., embedding-based representations of complex interactions, passenger flow estimation using generative techniques), and artificial intelligence (e.g., AI-powered digital twin simulations). Together, these approaches enable scalable, real-time decision-making in complex environments, while explicitly capturing trade-offs between operational performance and user-centric outcomes, such as passenger experience, system utilization, and service responsiveness.

The SMART-T7 team is led by Professors Alexandre Jacquillat, Jinhua Zhao, Hamsa Balakrishnan, Amedeo Odoni, and Jason Jackson from MIT, and Professor Hai Wang from Singapore Management University.

The successful candidate will work closely with Professors Alexandre Jacquillat (MIT), Hai Wang (Singapore Management University) and Bo Lin (National University of Singapore). The broad objective of the research will be to harness the power of operations research, AI, data science, and other disciplines to enhance the efficiency and effectiveness of human-machine systems. The primary application areas are smart city operations and robotic fleet management. The research will work at the interface of large-scale optimization, data-driven decision-making, the AI-optimization interface, and digital twin simulation. We invite applicants who hold or about to get a doctoral degree in Operations Research, Computer Science, Artificial Intelligence, Data Science, Industrial Engineering, or other related disciplines. We particularly welcome candidates with expertise and experience in the integration of AI and decision-making:

Key Responsibilities

• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Publish research results in top-tier journals and conferences and disseminate research findings through presentations and other means.
• Mentor graduate and undergraduate researchers involved in related projects.
• Assist with grant writing, project management, and administrative research duties.
• Perform other duties as needed. 

Requirements

• Ph.D. in Operations Research, Computer Science, Artificial Intelligence, Data Science, Industrial Engineering, or other related disciplines by the start of the appointment.
• Expertise 1: Experience with general methods in decision-making under uncertainty, including integer and combinatorial optimization, stochastic and robust optimization, dynamic programming, large-scale optimization, and simulation-based optimization; and/or
• Expertise 2: Experience with general methods in artificial intelligence and machine learning, including reinforcement learning, deep learning, generative AI, multimodal AI, and LLM.
• Experience in the integration of artificial intelligence and decision-making.
• Strong publication record in top-tier conferences and journals.
• Excellent communication and collaboration skills.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified

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.