Total 4,782 job vacancies in PASIR GUDANG

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-Professor-%28Presidential-Young-Professor-%28PYP%29%29/33168-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Political Science at the National University of Singapore invites applications for the tenure-track position of Presidential Young Professor (PYP) at the rank of Assistant Professor, to commence in July 2027. Applications are invited from all major subfields of political science including, but not limited to, comparative politics, international relations, and public policy.  

The NUS Presidential Young Professorship and NUS Presidential Fellowship Awards support and empower the brightest and most promising young academics in the early stage of their careers to develop into world-class scholars who make a significant impact in their field.  Applicants should have a clear research programme which uses innovative methods (eg  experimental methods, application of computational social science, AI) that answer big questions in political science, and who demonstrate an ability to publish in the top journals. As a young academic at NUS, you will have the opportunity to work alongside a diverse and dynamic community of scholars and students, to pursue excellence and innovation with a positive societal impact. Successful PYP candidates are awarded a start-up grant package of either SGD 250,000 or SGD 750,000, depending on the demands of their research program. Successful PYP candidates are also granted an award of an additional SGD 250,000 for discretionary spending. You can find out more about the PYP program here. 

The NUS Department of Political Science is a leading global political science department, with a vibrant research culture and located in a cosmopolitan hub. It is one of 15 departments within the Faculty of Arts and Social Sciences. Southeast and East Asia are geographic areas of departmental strength, but our 20+ faculty members have research interests which range across the subfields of political theory, international relations, comparative politics, and governance and public policy. In addition, the world-renowned Asia Research Institute (ARI) at NUS engages political scientists as part of its interdisciplinary community, as do our many area studies departments. Our department is committed to promoting equity, diversity, and inclusion as integral values in our strategic development. We also offer a competitive remuneration package, including housing and relocation benefits for eligible overseas candidates. The typical teaching load is three courses per academic year. 

Interested applicants are invited to apply directly at our NUS Career Portal. Application dossiers should include:
●    A brief cover letter explaining why the position at NUS is of interest and discusses the ambition of your research program
●    A comprehensive CV with a complete list of publications, awards, grants, and courses taught
●    A research statement with a three-year research plan
●    Two signature publications with the applicant as the lead author
●    Letters from at least three referees. If the applicant is two or more years post-PhD, the referees should not be limited to supervisors. The referees should compare the research performance of the applicant to specific individuals at equivalent and top institutions and/or programs. Please send all referee letters directly to the NUS Career Portal.

Review of applications will begin on 1 July 2026, and continue until an appointment is made. We regret that only shortlisted candidates will be notified. If there are any questions, please email the search committee at POLPYPSearch@nus.edu.sg.

Qualifications

Doctorate

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-%28Epidemiology-and-Modelling%29/33196-en_GB/?st=8BBC1E9510488D1EBDE40715BA0979C8232077DA

We regret that only shortlisted candidates will be notified.

Job Description

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is seeking multiple determined full-time Research Associate(s) to join a new group led by Dr Angkana T Huang.

Successful candidates will have the opportunity to work on one of several research projects using computational methods to understand the mechanisms underpinning the ecology and evolution of dengue and related arboviruses across Asia and globally. The long-term goal is to generate insights that enable interventions to be better designed, more effectively deployed, and resilient to an ever-evolving infectious disease landscape. Candidates with ambitions to define and pursue independent research questions of mutual interest are strongly encouraged to apply.

Research in the group spans a broad and multidisciplinary scope, for example:

• Macro-processes reshaping who gets infected and when
• The molecular basis of differences in virus properties, such as antigenicity
• Development and validation of computational methods to infer epidemiological quantities

Embedded within the Centre for Epidemic Research and Modelling (CERM) at SSHSPH, researchers will work among a community of motivated, purpose-driven scientists collaborating closely with regional partners and world-leading international collaborators.

Major duties and expectations:
All appointees:
• Conduct and contribute to the design, execution, and interpretation of research projects
• Perform computational analyses, including data processing, modelling, and interpretation of results
• Contribute to the preparation of manuscripts, reports, and presentations
• Participate in team meetings and collaborations with internal and external partners
• Critically appraise evidence and their own results with intellectual honesty, and engages constructively with differing perspectives

Qualifications

All appointees:
• Proficiency in at least one programming language, such as Python or R
• Experience with mathematical or statistical modelling
• Excellent written and verbal communication skills
• Highly organised, with the ability to work effectively both independently and as part of a team

Research Associate:
• Master’s degree or equivalent experience in Epidemiology, Biostatistics/Statistics, Computational Biology/Bioinformatics, Infectious Disease Modelling, or a closely related field

The grade of appointment will be accorded based on qualifications and work experience. Interested applicants are invited to apply directly at our NUS career portal with the documents below. For further enquiries, please contact Dr Angkana T. Huang via huangat@nus.edu.sg.
a. Cover letter highlighting career goals and relevant experience
b. Curriculum Vitae, containing names and contact details of three named referees

We are committed to open science, equitable partnerships, and scientific rigour. Candidates who share these values are strongly encouraged to apply.

[This role is based in Singapore and fully on-site]

[Your Singapore Citizenship or Singapore Permanent Resident status MUST be stated clearly within your CV]

[Only Singapore Citizen or Singapore Permanent Resident candidates with bachelor’s degree and minimum 8 years of working experience in finance related role should apply]

About CSSD

China-Singapore Suzhou Industrial Park Development Group Co., Ltd. (CSSD) is the joint-venture master developer set up by the governments of Singapore and China in 1994, to develop the flagship bilateral project Suzhou Industrial Park (SIP). In 2019, CSSD was successfully listed on the Shanghai Stock Exchange. Today, CSSD is one of the largest township developers in China, and has replicated the successful SIP model, with multiple locations in Mainland China (Nantong, Chuzhou, Jiashan, Yinchuan and Changshu) under its portfolio of large-scale township development projects. CSSD has 3 main subsidiaries (that focuses on business park spaces, sustainability and investments) that support its overall vision and growth strategy.

Outside of China, together with our strategic partner JTC Corporation, CSSD has established the “CSSD International Business Cooperation Centre” (IBCC), a 4700 sqm facility located in Singapore's one-north district. IBCC focuses on creating a business platform for inbound Chinese investments into/ through Singapore and Singapore-based companies planning to venture into the China market.

For more information on CSSD and CSSD Singapore, please visit the following sites:

https://cssd-ibcc.sg

https://www.linkedin.com/company/cssd-international-business-cooperation-centre-pte-ltd

http://www.cssd.com.cn

Role we are hiring for

We are looking for 1 candidate to join CSSD Singapore in the following position:

· Principal Executive/ Deputy Head (Finance & Accounting) - minimum 8 years of working experience in finance related role

This role will report to the General Manager of CSSD Singapore.

Primary responsibilities of role

• Oversee financial management functions, including developing, reviewing, and submitting budget proposals and five-year strategic plans
• Analyse financial budget execution, review and adjust significant variances, and provide recommendations for management improvements
• Research tax-related policies, manage tax filing, analysis, and planning, and oversee tax risk assessment and control
• Assist in administrative management, including developing and implementing internal management policies, and overseeing daily asset and logistics operations
• Actively contribute to ad-hoc projects tasked to CSSD Singapore by higher management
• Oversee daily accounting operations and financial management and coordinate with various business units to ensure standardized and orderly financial processes
• Be responsible for monthly and annual financial closing, and prepare financial statements, management reports, and relevant statistical reports
• Organize and implement fund management activities, including bank reconciliations, cash planning, cash flow forecasting, and intercompany reconciliation
• Support and coordinate annual audits, budget preparation, financial forecasting, tax filings (including GST), and fixed asset management, ensuring compliance with group policies and regulatory requirements
• Maintain and enhance financial information systems, participate in business unit performance analysis

Requirements / Key Attributes

• Singapore Citizen or Singapore Permanent Resident, with minimum 8 years of working experience in finance related role
• Minimum education qualification of bachelor’s degree from reputable Singapore local universities or top 100 ranked universities
• Degree in finance, accountancy, or economics. And preferably possess ACCA or Chartered Account qualifications
• Fluency in mandarin (both spoken and written) is essential, due to the nature of work which involves significant amount of communication with various stakeholders based in China
• Demonstrates integrity, strong professional ethics and a high sense of responsibility. Possesses excellent teamwork, communication, and coordination skills. Detail-oriented, resilient, and logical
• Excellent interpersonal and effective communication skills
• Preference will be made for candidates that have Corporate Secretary qualifications
• Be familiar with accounting policies, tax rules and annual audit process in Singapore
• Preferably with experience in China-corporate accounting principles
• Able to work well independently and as part of a team who is willing to learn and take on additional roles in a dynamic shared service environment with multiple business units

Interested applicants, please send your resume to recruitment@cssd.com.sg by 21 June 2026 with the email subject heading and resume file name in the following format: “CSSD_FIN_YearsofWorkExperience_CandidateName” (Example: CSSD_FIN_8Years_AliciaTeo).

Selected candidate should be prepared to undergo 2 rounds of interviews (with a written test being part of the 1st round interview) by the recruiters in-person.

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.

YOUR NEW JOB

As a Security Implementation Engineer, you will work alongside senior consultants and project teams to deliver successful implementations of Google SecOps and/or SentinelOne platforms, ensuring customers are onboarded effectively and solutions are configured according to project requirements.
You will support the deployment, configuration, and implementation of modern cybersecurity solutions across enterprise customer environments.
This is a 12-month renewable contract role based with one of the region's leading technology & systems integrators.

WHAT YOU’LL BE DOING

• Support the implementation and deployment of Google SecOps and/or SentinelOne solutions for enterprise customers
• Assist with solution configuration, onboarding, and integration activities
• Participate in customer workshops, requirement gathering, and technical discussions
• Perform testing, validation, and troubleshooting during implementation projects
• Document implementation procedures, technical configurations, and deployment activities
• Work closely with project managers, senior engineers, and customer stakeholders to ensure successful project delivery
• Provide post-implementation support and issue resolution where required
• Stay updated on product features, cybersecurity trends, and vendor best practices

WHAT IS NEEDED FROM YOU

• At least 1 year of hands-on experience with Google SecOps and/or SentinelOne solutions
• 1–3 years of IT infrastructure, cybersecurity, or systems implementation experience
• Basic understanding of SIEM, endpoint security, threat detection, and security operations concepts
• Experience supporting technical deployments, implementations, or system integrations
• Familiarity with Windows, Linux, networking, and cloud environments
• Strong troubleshooting and problem-solving skills
• Diploma or degree in Information Technology, Computer Science, Cybersecurity, or related field
• Good communication skills and ability to work directly with customers and internal teams

WHAT WILL MAKE YOU STAND OUT

• Relevant certifications from Google, SentinelOne, Microsoft, or other cybersecurity vendors
• Exposure to cybersecurity projects within enterprise environments
• Experience working for a systems integrator, managed services provider, or IT services organisation
• Familiarity with scripting or automation tools such as Python, PowerShell, or APIs
• Experience supporting SOC, SIEM, EDR, or threat monitoring environments

Packing Operator (Manufacturing Line)

• Office Location: Loyang, Singapore
• Working Hours: Mon – Fri 7.30am – 5pm
• Monthly Salary: Basic up to $1600 + Allowance + AWS + VB
• Employment Type: Full time

Company Overview

The company specializes in delivering high-precision solutions for complex moulding applications, supporting clients from initial concept through to full-scale production. With a strong focus on quality and collaboration, the company helps transform ideas into commercially viable products. As the company continue to grow, the company remain dedicated to advancing our capabilities and driving progress within the industry.

Responsibility

• Packing & Standards – Pack finished goods in line with company quality and safety requirements.

• Order Preparation – Pick and prepare items accurately for delivery or production use.

• Material Handling – Ensure proper handling of materials to maintain product integrity and workplace safety.

• Operational Support – Assist with daily warehouse tasks and ad‑hoc duties assigned by supervisors.

Requirement

• Good interpersonal and communication skills, with the ability to coordinate effectively.
• Candidate who can start immediately or within short notice will be preferred

Email resume to harrychen@recruitlync.com or WhatsApp +6588583584 (Texting only No calling, thanks!) Good Luck!

We regret to inform you that only shortlisted applicantswill be notified.

Recruit Lync Pte Ltd | EA License Number: 22C1000

Chen Hoe Nam | EA Personnel License: R25158678

ISO QA Engineer

• Office Location: Loyang, Singapore
• Working Hours: Mon – Fri 8am – 5.30pm,
• Monthly Salary: Basic up to $4000 + AWS + Variable Bonus (VB)
• Employment Type: Full time, Permanent Contract

Company Overview

The company specializes in delivering high-precision solutions for complex moulding applications, supporting clients from initial concept through to full-scale production. With a strong focus on quality and collaboration, the company helps transform ideas into commercially viable products. As the company continue to grow, the company remain dedicated to advancing our capabilities and driving progress within the industry.

Responsibility

• Supplier Partnership Management – Lead onboarding, evaluation, audits, and agreement reviews to strengthen supplier relationships.

• Performance Monitoring – Assess supplier performance, identify improvement opportunities, and drive quality enhancements.

• Qualification Support – Oversee new supplier and material qualification, ensuring documentation accuracy and compliance with standards.

• Issue Resolution – Coordinate with suppliers and internal teams on material issues, SCAR processes, and corrective actions.

• Quality Assurance – Implement inspection standards, manage CAPA closure, and address non‑conformance reports and customer complaints.

• Compliance & Continuous Improvement – Lead MRB meetings, maintain ISO documentation, conduct audits, and develop action plans for ongoing compliance.

Requirement

• Diploma in Quality Management / engineering / Manufacturing or related field
• Minimum 2 years of relevant working experience in handling audits and ISO documentation in manufacturing industries.
• Familiarity with supplier management processes
• Familiarity with Quality Management Systems including ISO 9001, ISO 14001, ISO 13485, and ISO 22301
• Proficient in quality tools such as PFMEA, Control Plans, and Gage R&R (Repeatability & Reproducibility)
• Proficient in structured problem-solving tools such as 8D and 5 Whys methodologies.
• 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

Manager - CRU Operations

• Office Location: Buona Vista, Singapore
• Working Hours: Monday - Friday 8.30am - 5.30pm
• Monthly Salary: Basic up to $14000 + Completion Bonus
• Employment Type: Full time, 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

• Study Portfolio Alignment – Work closely with management to align and oversee the CRU’s study portfolio.

• Cross‑Functional Integration – Drive coordination across CRU teams to deliver study requirements effectively.

• Operational Leadership – Provide leadership in study execution, participating in protocol reviews, execution meetings, and liaising with sponsors/CROs to resolve issues.

• Subject Matter Expertise – Act as a resource on CRU processes, IRB, and regulatory requirements; provide input on study design and feasibility.

• Project Oversight – Lead implementation of high‑priority clinical studies and oversee non‑clinical projects impacting CRU operations.

• Documentation & Improvement – Ensure proper documentation of decisions and share process improvements; conduct root cause analysis and implement CAPAs.

• Regulatory Compliance – Ensure adherence to protocols, IRB/regulatory requirements, GCP, global policies, and SOPs.

• Audit & Inspection Support – Perform self‑assessments and actively participate in audits and regulatory inspections.

• Equipment & Systems Oversight – Manage equipment lifecycle, act as system owner where appropriate, and oversee IRB submissions and SOP reviews.

• People Management – Attract, coach, and manage team members; define objectives aligned with organizational priorities and drive performance outcomes.

Requirement

• Minimum Degree in science or health-related field.
• Minimum 8 years of experience in clinical research with project management and/or project management experience.
• 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

Executive Support

• Manage and maintain schedule of Executive Chairman & Group Managing Director and ensure that he/she is prepared beforehand
• Handle and screen all forms of correspondences, including calls, emails, faxes, post, etc. on behalf of Executive Chairman & Group Managing Director
• Conduct research, analysis on subject matters and advise Executive Chairman & Group Managing Director on appropriate responses and next steps
• Assist Executive Chairman & Group Managing Director in other aspects such as personal finance, social and community engagements
• Co-ordinate with senior managers on corporate activities

General Administration

• Prepare reports, letters, memos, proposals, presentations and other documents
• Document all correspondences neatly and securely, and ensure accessibility
• Organise and attend meetings, and record minutes
• Arrange travel activities of Executive Chairman & Group Managing Director, including visas and accommodations

People Management

• Supervise and verify attendance of dispatch cum personal driver assigned to Executive Chairman

Requirements

• Degree in Business Administration or other relevant fields
• At least 5 years of relevant experience
• Knowledge of office management and basic accounting procedures
• Familiar with research methods and reporting techniques
• High level of integrity and initiative
• Excellent interpersonal skills
• Highly organized and energetic

Job Description:

• Conduct AML/CFT Transaction Monitoring (TM) investigations generated from alerts, and deliver high standards (e.g. consistency, process adherence, productivity).
• Responsibilities focus primarily on transaction monitoring, but may involve other aspects of customer due diligence (where required).
• Timely closure of alerts within stipulated timeline as L1 and L2 reviewers.
• Actively adhere to standard operating procedures and record keeping documents.
• Support other ad-hoc projects where required.

Requirements:

• A Diploma/Bachelor's Degree in any field
• At least 2 years of AML Transaction Monitoring experience is preferred
• Familiar with MAS guidelines (MAS 626)
• Familiar with end to end AML value chain, including trigger event, periodic reviews and name screening etc.
• Excellent verbal and written communication skills
• Flexible, adaptable, meticulous, team player and attention to details
• Ability to multitask, prioritise and manage time effectively
• Good working knowledge of MS Office (Excel, Word, google sheets)
• Added advantage for candidates with AML Certifications

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.