Total 3,517 job vacancies in PASIR GUDANG

We are looking for a Social Media Specialist with a passion for live streaming to join our team!

Job Description:

• Build and maintain social media communities for our top games, including platforms like Facebook, Twitter, Instagram, Discord, TikTok, and YouTube. Monitor social media of rival products and special occasions to produce high-quality content.
• Expand our games' presence on other social media platforms and channels such as Snapchat, Reddit, Pinterest, etc.
• Focus on social media operations and promotion activities
• Develop new partnership opportunities with other industries and agencies.

Job Requirements:

• Degree in Marketing, Business or a related field.
• Min 1 year of live streaming experience and must be comfortable appearing on camera.
• 1-2 years of experience in building and maintaining social media communities across major platforms, especially Facebook, Discord and TikTok.
• Familiarity with daily social trends, the latest pop culture, popular games, and TikTok content trends.
• Fluency in English is required to handle queries, questions, and feedback related to social media operations and promotional matters.
• Innovative, able to work independently, and committed to constant self-improvement.
• Experience in the gaming industry would be welcomed.
• Videos production or live streaming experience is a plus.

Benefits:

• Career progression
• Be part of a young, fun and dynamic team
• Flexi health & well-being benefits including family
• Annual Wage Supplement (AWS)

The Genome Institute of Singapore (GIS) is Singapore"s flagship institute for the genomic sciences. The Agency for Science, Technology, and Research (A*STAR) is the parent funding body for the GIS and has a long-term commitment to advance science and develop innovative technology to further economic growth and improve lives. As one of the world"s premier genomic centres, the GIS integrates genetics, genomics, high-throughput biology, and data science to gain fundamental, translational, and clinical insights into human disease and health (https://www.a-star.edu.sg/gis/).

We welcome applications at all levels, including candidates seeking their first independent Principal Investigator position (equivalent to first-time Assistant Professor at academic institutions) and execptionally qualified established leaders in their fields (at the level of Associate/Full Professor) to develop their independent research programmes in the following domains:

• Develop novel high throughput technologies for unveiling new insights into the biology of DNA or RNA. Candidates with an established track record in sequencing methodology development, genomics, functional genomics (studied using saturation mutagenesis), and molecular engineering are highly welcome.
• Develop novel technologies in RNA therapeutics (including either using RNA as medicine or targeting RNA in diseases). Candidates with an established track record in targeting RNA or engineering RNA for protein production, decay, and localization in health and disease systems are strongly encouraged to apply.
• AI to leverage state-of-the-art artificial intelligence to design and implement or use generative models targeting RNA, DNA, and cellular systems,
• Computational biology, to develop/use the latest machine learning strategies and computational analytics to analyze genomic and multimodal data to enable novel insights into biology and human health.

Principal investigators will be able to leverage GIS' strong sequencing facility, technology platforms, novel computational analytics, and outstanding biological systems to create scientific and societal impact.

Qualified candidates should have an MD, PhD, or equivalent degree in the biological, genomic, or computational sciences, and a demonstrated ability to conduct cutting-edge team-based research with a strong record of peer-reviewed publications, and external funding. Past successes in intellectual property creation will be an advantage. You must be comfortable working in a dynamic research organization. Strong communication skills and a willingness to work collaboratively in a multidisciplinary environment are critical for success. The successful candidate will drive an expansion into the indicated research areas and complement programs at GIS and synergise with ongoing larger-scale efforts at A-STAR. In particular, we welcome applications from energetic and enthusiastic candidates seeking their first independent Principal Investigator position (equivalent to first-time Assistant Professor at academic institutions).

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

Maximising Potential I Transforming Lives

Join Maitri School’s team of educators and professionals empowering students with autism spectrum disorder to live better, learn continually, and contribute meaningfully. As Singapore embraces inclusive education, your expertise will make a meaningful difference right here in our community.

Your role as Behavioural Analyst/Therapist:

• Conduct comprehensive behavioural assessments to identify areas of need, and develop individualised intervention plans grounded in ABA principles. These plans should include clearly defined goals, targeted intervention strategies, and progress-monitoring methods to address challenging behaviours and promote positive social and academic outcomes.

• Collaborate closely with teachers, parents, and other professionals to ensure a holistic and coordinated approach to supporting each student's progress.

• Maintain detailed records and documentation of students’ progress to evaluate the effectiveness of interventions and make necessary adjustments. Provide regular updates to stakeholders on progress and outcomes.

• Coach key partners about ABA principles and how to apply educational and behavioural techniques to carry out intervention plans in class and at home to support the students’ progress.

• Facilitate training for staff to improve understanding on ABA.

• Contribute to the development and refinement of the school's behavioural support programmes and resources. To positively influence the development of programs, policies and procedures to promote best practice.

• Stay up-to-date with the latest research and best practices in the field of behavioural analysis and therapy.

• Attend IEP meetings with teachers when necessary.

Why choose Maitri School:

1)      Competitive compensation package with performance bonus

2)      Career progression opportunities

3)      Manageable class size

4)      Work life harmony

Requirements:

• A Master's degree in Applied Behaviour Analysis, Psychology, or a related field, prefer candidates with BCBA / BCaBA / QBA / QASP-S qualifications.

• Minimum 3 years of experience in providing behavioural analysis and therapy services, preferably in an educational setting with experience working with ASD students.

• Excellent communication and interpersonal skills, with the ability to effectively collaborate with a diverse range of stakeholders

We regret that only short-listed applicants will be notified for an interview.

Work Location:
2026 and 2027 - 95 Jalan Eunos, 2028 - 20 Pasir Ris Street 51

About Oncoshot

Oncoshot is a federated data company transforming oncology research by enabling secure, privacy-preserving collaboration between cancer institutions and pharmaceutical partners. Our Federated Data Platform connects real-world patient data across institutions without moving or exposing sensitive information.

We are expanding our AI team in Singapore to strengthen our privacy-preserving machine learning and data infrastructure capabilities.

Role Overview

We are looking for a Python Engineer who thrives on solving complex data and AI challenges. You will work directly under the CTO on initiatives that ensure privacy, reliability, and scalability of AI solutions within Oncoshot’s federated ecosystem.

This role offers exposure to cutting-edge work in PII masking, real-time data pipelines, LLM validation, and AI governance.

Key Responsibilities

• Develop and deploy a transformer-based model for PII data masking across clinical datasets.
• Build and maintain real-time data pipelines between partner cancer institutions and Oncoshot’s Federated Platform.
• Design validation frameworks for evaluating and monitoring the accuracy and consistency of LLM-based outputs.
• Contribute to AI governance and security, ensuring compliance with internal and external data protection requirements.
• Participate in code reviews and ensure high-quality, well-tested, and maintainable code.
• Collaborate closely with other engineers, data scientists, and stakeholders to deliver production-grade AI tools.

Requirements

• 2+ years of hands-on Python experience, including OOP and async programming.
• Strong discipline for unit testing and passion for handling edge cases.
• Familiarity with ML model evaluation metrics (precision, recall, F1, R², etc.).
• GitHub workflow experience (branches, pull requests, code reviews).
• Working knowledge of Hugging Face, JIRA/Confluence, and VS Code.
• Solid organizational skills and ability to switch between multiple active projects.
• Bonus: Background in mathematics, statistics, or machine learning.

Why Join Oncoshot

• Work on real-world AI and data privacy problems that impact cancer research globally.
• Collaborate with a small, focused team of AI engineers and researchers.
• Contribute to meaningful technology that protects patient data while accelerating clinical research innovation.
• Office conveniently located in one-north, Singapore’s innovation district.

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated Machine Learning Engineer to join our Model Engineering Team, focused on building, training, and improving computer vision models used in real-world systems. In this role, you will engineer models for improved accuracy, speed, and reliability, and work across experimentation, data, and production-facing ML pipelines.

You will collaborate with experienced engineers to translate research ideas and experiments into practical improvements that impact deployed systems.

You will also work with production-level machine learning systems, contributing to how models are evaluated, deployed, and monitored in real-world environments.

What You’ll Do:

Model Engineering & Training

• Assist in training, fine-tuning, and evaluating computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and video understanding.
• Contribute to model engineering efforts, including modifying architectures, adjusting backbones or heads, and tuning training strategies to improve accuracy, stability, and inference speed.
• Experiment with training techniques such as data augmentation, loss functions, optimisation methods, and learning rate scheduling.
• Explore and evaluate modern vision models, including open-vocabulary or multimodal approaches where relevant.

Research & Experimentation

• Read, discuss, and apply insights from relevant research papers, technical blogs, and internal technical documentation.
• Prototype and evaluate new models, approaches, or techniques, comparing them against established baselines through structured experiments.
• Analyse experimental outcomes and document insights on performance trade-offs, limitations, and failure modes.

Evaluation & Failure Analysis

• Analyse model performance beyond headline metrics, including long-tail behaviour, edge cases, and real-world impact.
• Debug model failures such as false positives, false negatives, or unstable predictions.
• Improve robustness through targeted data improvements, inference logic, or model adjustments.

Data & Experimentation Infrastructure

• Work with large-scale datasets, including preprocessing, augmentation, validation, and quality checks.
• Follow established workflows for dataset versioning, experiment tracking, and reproducibility.
• Write clean, maintainable experiment code and configuration-driven training setups.

Production & MLOps Exposure

• Assist with model deployment and monitoring under the guidance of senior engineers.
• Work with training, evaluation, and inference pipelines used in production.
• Apply model lifecycle practices such as versioning, retraining, validation, and rollback.
• Consider performance and efficiency constraints, including latency, GPU memory usage, and inference cost.

Minimum Requirements

• At least a degree in Computer Science, AI, Machine Learning, or a related technical field, or equivalent practical experience.
• 1 – 2+ years of relevant hands-on experience with deep learning and computer vision through professional work, research, or substantial projects.
• Proficiency in Python.
• Experience with PyTorch and/or TensorFlow.
• Familiarity with Linux environments (CLI usage, basic shell commands).

Bonus Skills

• Exposure to multimodal or open-vocabulary models.
• Experience modifying models beyond configuration-level changes (e.g. layers, heads, loss functions).
• Familiarity with experiment tracking or MLOps tools (e.g. Git, Docker, MLflow, Weights & Biases).
• Experience with model optimisation or export (e.g. ONNX, TensorRT, quantization).
• Experience working with video data or tools such as OpenCV or FFmpeg.

Personal Competencies

• Strong interest in engineering and improving machine learning models, rather than treating them as black boxes.
• Curiosity about how architecture, data, and training strategies affect real-world performance.
• Comfortable experimenting, debugging, and iterating in a collaborative engineering environment.
• Ability to take ownership of model components appropriate to experience level and project needs.

Note: Due to the nature of the role, the position is considered only for candidates who are already based in Singapore.

Responsibilities:

• As an Innovation and Applied-AI Engineer, you will proactively identify opportunities, experiment with new concepts, and drive them end-to-end, from ideation to real-world deployment, with a high degree of autonomy and creativity.
• You will design and build AI-driven software solutions, leveraging GenAI to enhance internal workflows and create new product capabilities, while prototyping and validating ideas through proofs of concept (POCs).
• You will continuously evaluate new AI and GenAI technologies, assessing their relevance and deciding whether to adopt, adapt, or discard them. This includes applying insights from research, experimenting with models, exploring agentic AI, and developing demo applications.
• You bring a strong software engineering foundation, with the ability to build end-to-end applications across front-end and back-end, and collaborate effectively within a distributed, multidisciplinary team in a dynamic and fast-evolving environment.

Requirements:

• Bachelor’s, Master’s, or PhD in Computer Science (or equivalent)
• Software Engineers with electives or majors in AI/ML, deep learning, or agentic AI.
• 3-5 years of working experience is required.
• Proficiency in software development using one or more of JavaScript, Java, Swift, or Python.
• Solid background in AI/ML, with the ability to understand and apply AI theory to real-world problems, including GenAI adoption in daily practice and new product features.
• Strong analytical skills, with an interest in reading academic papers and translating research into practical, innovative solutions.
• Familiarity with full-stack development and rapid prototyping using frameworks such as Flask, FastAPI, or React.
• Familiarity with generative AI frameworks (e.g., Hugging Face, LangChain, OpenAI APIs) and agentic AI systems.
• Familiarity with cloud platforms (AWS, Azure, or GCP), CI/CD pipelines, and containerization tools.

• More than 3 years work experiences.
• Experience in demand and supply planning, as well as inventory management
• Basic proficiency in Excel for data handling and analysis
• Ability to communicate effectively, as a regional role, with stakeholders from diverse backgrounds across Southeast Asia, both within and outside the organization

 Job description

• Manage sales and supply operations for printer products, including demand and supply planning and inventory management as Regional HQ
• Develop sales and supply plans in coordination with consolidated subsidiaries across the region (South East Asia)
• Work closely with logistics and order management (shipping) teams, as well as coordinate production and shipment schedules with HQ(Factory)
• Support order management for tenders in collaboration with the Area Marketing team
• Provide timely and accurate reporting to management

We are looking for a dynamic and results-oriented Beauty Salon Manager to oversee the overall operations and performance of the salon. The successful candidate will be responsible for leading the team, driving sales growth, ensuring exceptional customer experiences, and maintaining high operational standards.

Job Responsibilities

• Oversee daily salon operations and ensure smooth workflow.
• Lead, train, and supervise salon staff.
• Deliver excellent customer service and handle customer feedback.
• Drive sales and achieve outlet targets.
• Manage staff scheduling, inventory, and salon cleanliness.
• Ensure compliance with company policies and hygiene standards.

Requirements

• Minimum 2 years of managerial experience in the beauty, spa, or wellness industry.
• Strong leadership and communication skills.
• Customer service and sales-oriented.
• Able to work weekends and public holidays.

Associate - Business Operations

• Office Location: Buona Vista, Singapore
• Working Hours: Monday - Friday 8.30am - 5.30pm
• Monthly Salary: Hourly Rate
• Employment Type: Full time, Permanent Contract

Company Overview

The company is a specialized clinical research unit based in Singapore, focusing on early‑phase human trials and innovative health technologies. It integrates biomedical expertise with modern digital tools to advance drug development and support global healthcare progress.

Responsibility

• Business Development & Partnerships – Act as the key contact for sponsors and external partners, managing RFIs/RFPs, showcasing CRU capabilities, and addressing capability gaps with management.

• Study Costing & Contracting – Develop and maintain study costing models, track expenses, and manage contracts/NDAs with external collaborators in alignment with legal and trial teams.

• Capacity & Resource Planning – Forecast CRU capacity needs, plan resources based on protocol requirements, and analyze utilization data to improve productivity.

• Digital Marketing & Outreach – Support social media and website presence, ensuring compliant content and effective digital campaigns to enhance visibility.

• Operational Data Analytics – Generate, analyze, and report operational metrics to provide insights into study performance and support strategic decision‑making.

• Supplemental Roles – Contribute to organizational initiatives such as health and safety, records management, and data protection responsibilities.

Requirement

• Minimum Diploma in science or health-related field.
• Good interpersonal and communication skills, with the ability to coordinate effectively.
• Candidate who can start immediately or within short notice will be preferred

We regret to inform you that only shortlisted applicants will be notified.

Recruit Lync Pte Ltd | EA License Number: 22C1000

Chen Hoe Nam | EA Personnel License: R25158678

A global organization has openings for Executive Personal Assistant and Personal Assistant in our newly set up business verticals. We welcome seasoned and/or progressive experienced individuals who are resourceful and savvy with office technologies to apply. Our vacancies offer the opportunity to work in a fast-paced, dynamic, newly renovated business environment; working closely with senior leadership,supporting strategic priorities, managing key stakeholder engagements, and ensuring smooth coordination across regional teams and business functions.

Executive Personal Assistant (PA) and Personal Assistant manage high-level administrative and operational support for Company Executives and Senior leadership. The role acts as a trusted gatekeeper, involving complex calendar management, gatekeeping communications, travel logistics coordination, and handling highly confidential information to maximize the leader's productivity.

Key Responsibilities

• Calendar & Schedule Management: Manage complex diaries, resolving scheduling conflicts and arranging meetings across multiple locations.
• Communications & Gatekeeping: Serve as the primary point of contact by screening appointments, and drafting correspondence on the executive's behalf.
• Travel & Logistics: Organize detailed travel itineraries, flights, and accommodations.
• Meeting Preparation: Compile briefing materials, create presentation decks (e.g., PowerPoint), attend meetings to take minutes, and track action items.
• Reporting & Administration: Process expense reports, manage files, and handle ad-hoc projects or research.

Essential Skills

• Discretion: Ability to manage sensitive and confidential corporate or personal information.
• Organization: Exceptional time management and the ability to multitask in a fast-paced environment.
• Communication: Bilingual in English and Mandarin. Clarity in written and verbal communication skills
• Tech-Savviness: High proficiency in the Microsoft Office Suite, digital calendars, and virtual meeting platforms.

Requirements:

• Prior experience supporting senior executives or leadership teams for a minimum of 5 years; seasoned candidates will be considered for Executive PA position.
• Strong communication, organizational, and stakeholder management skills
• Ability to work independently in a fast-paced environment
• High level of professionalism, discretion, and adaptability
• Comfortable managing multiple priorities and timelines simultaneously
• Fluent in Mandarin will be advantageous

Education:

• Degree/ Diploma in Business Administration, Secretarial Studies, or a related field.

Our newly renovated office is 5 mins walk from MRT station, surrounded by excellent heart lander food.

Job Description:

• Efficiently handle daily islandwide delivery and collection tasks.

• Load, unload, transport, and deliver cargo/goods, ensuring proper handling and secure placement.

• Ensure timely and accurate delivery of goods/cargo to all destinations.

• Conduct regular vehicle maintenance checks and ensure the vehicle is in good working condition.

• Perform other ad-hoc duties as assigned by the supervisor.

Job Requirements:

• Possess a valid Singapore Class 4 driving license.

• Physically fit and capable of lifting heavy cargo (up to 25kg).

• Familiar with Singapore roads and committed to adhering to traffic rules and regulations.

• Demonstrate responsibility and effective time management skills.

• Willing to work overtime when required.

Position Summary

The Engineer, Product Development is responsible for the development and establishment of new product and transfer process into production.

Responsibilities

• New product development as requested by customer and internal roadmap, and transfer into production
• New material, process & machine development and qualification, and transfer into production
• Troubleshoot process issues and improve process capabilities, yield and cycle time from customer NPI stage to LVM/HVM stage.
• Establish, review and update specifications, workflow, quality and safety related documentation for new products and transfer to production line.
• Coordinate and liaise with vendor/suppliers on process issue or quality issue.
• Support customer NPI activities and internal engineering activities.
• Handle and manage customer audits and 8D reports.
• Any other ad-hoc duties as assigned.

Requirements

• Bachelor’s Degree in Materials Science, Microelectronics, Electrical, Chemical engineering or similar disciplines
• At least 3 years of experience in product development or NPI work in area of Wafer-level Fanout packaging production line or LCD/FPD production line, focusing on processes such as:

1. Die Preparation/ Recon
2. Lithography

• Knowledge in process engineering, process control engineering and yield enhancement
• Experience in DOE, FMEA, and 8D reports

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-Associate-%28Biostatistics-and-Modelling%29/33200-en_GB/?st=141BEF5F2248FFEB18DC476F6C0C960C34CB32A1

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:
Research Associate (1 year in the first instance)

A research associate position is available in the Saw Swee Hock School of Public Health to support the Principal Investigator, Assistant Professor Hannah Clapham, in research projects in the areas of Biostatistics and Modelling. This post will work on a project studying dengue disease dynamics and burden using mathematical and statistical models.

The research associate will work on statistical and mathematical modelling projects. Major duties and responsibility of the post includes:
- analysing data using statistical and mathematical modelling techniques,
- writing reports, presentations, and publication of results and findings in peer-reviewed journal,
- supervising junior staff as required

Candidate must:
- have two years of research experience in mathematical or statistical modelling applied to the field of epidemiology
- be an independent worker who is well- organized and has an eye for detail.
- possess excellent written and verbal communication skills,
- possess the ability to work effectively with colleagues to achieve team goals,
- have good proficiency in Statistical software (R),
- have experience in the application of quantitative methods to epidemiology and public health questions,

It would be desirable for the candidate to:
- have relevant research experience as part of a degree or post-degree in academia or in industry.
- have research experience beyond that listed above
- have experience of literature reviews and/or analysing epidemiological data

Recruitment is open immediately, and will continue until the position is filled. Applicants should send a brief statement of interest, CV, three named references, and other supporting documents during the application.

For further enquiries, please contact Dr Hannah Clapham at hannah.clapham@nus.edu.sg

We regret that only shortlisted candidates will be notified.

Qualifications

Possess a masters level degree in Computer Science, Mathematics, Statistics, Engineering, Physics

Position Summary

The Engineer, Product Development (Fresh Grad) is responsible for the developmentand establishment of new product and transfer process into production.

Responsibilities

• New product development as requested by customer and internal roadmap, and transfer into production
• New material, process & machine development and qualification, and transfer into production
• Troubleshoot process issues and improve process capabilities, yield and cycle time from customer NPI stage to LVM/HVM stage.
• Establish, review and update specifications, workflow, quality and safety related documentation for new products and transfer to production line.
• Coordinate and liaise with vendor/suppliers on process issue or quality issue.
• Support customer NPI activities and internal engineering activities.
• Handle and manage customer audits and 8D reports.
• Any other ad-hoc duties as assigned.

Requirements

• At least a Bachelor’s Degree in Materials Science, Microelectronics, Electrical or Chemical engineering.
• Knowledge in process engineering, process control engineering and yield enhancement preferred
• Knowledge in DOE, FMEA, and 8D reports.
• Prior experience in the semiconductor industry would be an added advantage.

Able to provide full hair services such hair cut, hair wash, hair colour, straighten, perm, treatment, etc.

Manage clients' appointment, store opening and end of day closing.

Keep the salon clean and tidy.

At least 1 year experience.

Fresh grads from ITE who are serious with a hairdressing career are welcome to apply.

44 hour work week.

Basic salary + commission. Replacement off-in-lieu for Public Holidays.

Annual leave, sick leave, 13th month.