Total 2,514 Others level Science / R&D / Research job vacancies

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

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

Responsibilities:

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

Requirements:

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

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

This authorizes us to:

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

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

Goh Yi Min, Mai - R22104617

ScienTec Consulting Pte Ltd – 11C5781

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Infectious-Disease-Modelling%29/29829-en_GB/?st=10D7DF6900EEA4DFBE1D5F37204E9A8E4AB59151

We regret that only shortlisted candidates will be notified.

Job Description

Qualifications

● A Ph.D. in a relevant field such as computer science, statistics, epidemiology, computational biology, bioinformatics, biostatistics, machine learning, or a related discipline.
● Strong background in at least one of infectious disease modelling, phylogenetics, or phylodynamics (background in computational statistics or machine learning is optional but highly relevant)
● Proficiency in programming languages (R, Python, C++, Java or Julia).
● Experience with mathematical and statistical methods applied to real-world, public health, and global health problems.
● Excellent written and verbal communication skills, including presenting complex concepts to diverse audiences.
● Demonstrated ability to work effectively in a multidisciplinary team and independently.
● Track record of publications in peer-reviewed journals

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Hydrodynamics-of-Coastal-Structures%29/33191-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The selected Research Fellow (RF) will be responsible to lead and manage research activities relating to the project titled Hydrodynamics of coastal structures. 

Key duties will include conducting offshore centrifuge modelling for Coastal Structures and aiding to supervise research assistants. He/she must also help in ensuring compliance with safety and ethical standards and contributing to the preparation of progress reports and grant documentation.

Job Requirements

•    Possess at least a PHD degree in relevant fields such as Civil Engineering, Ocean Engineering, Fluid Mechanics, Computer Science, or related disciplines. Applied Mathematics, Data Science, Electrical and Electronics Engineering, Earth Sciences, Remote Sensing, and Artificial Intelligence are also well-suited. (More details on PhD requirements can be found at: https://nusgs.nus.edu.sg/scholarships/nus-research-scholarship/)
•    Strong written and spoken communication skills. 
•    Open to fixed-term contract

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.

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.

Marketing Assistant Manager Job Description

Our company is looking to hire a marketing assistant who will be working closely with our marketing team to develop and implement marketing plans and strategies for our brands. As a successful hire, you will be tasked with helping identify marketing trends and opportunities for growth, as well as creating marketing materials such as white papers and case studies. You will be giving presentations about our ongoing campaigns and provide administrative support to our marketing and sales teams.

To be chosen for this role, you must have a bachelor's degree in marketing, business, or a related field. Prior work experience in administration, sales, or marketing is a plus. Effective written and verbal communication skills and a high level of attention to detail are both important keys to success in this role.

Marketing Assistant Manager Responsibilities:

• Collaborating with the marketing manager, internal teams, clients and partners on marketing strategy.

• Helping identify marketing trends and key opportunities for innovation.

• Learning and working with various types of software for digital marketing.

• Working closely with sales and marketing department.

• Creating marketing materials such as white papers, case studies, and presentations.

• Giving presentations.

• Maintaining a marketing database.

• Providing administrative support to the marketing and sales team.

• Preparing, formatting and editing a range of documents.

• Understanding company product and brand.

• General office duties.

• Creating and interpreting a variety of reports.

• Organizing market research.

• Analyzing questionnaires and other forms of feedback.

• Updating social media accounts.

• Perform any other duties assigned by the director.

Marketing Assistant Manager Requirements:

• Bachelor’s degree in marketing, business or related field.

• Administration or sales and marketing assistant experience.

• Effective written and verbal communication skills.

• A high level of attention to detail.

• Ability to work effectively within a team and independently.

• Experience using computers for a variety of tasks.

• Competency in Microsoft applications including Word, Excel, and Outlook.

• Good organization skills.

• Related job and internship experience.

• Digital marketing experience.

• The ability to work under pressure.

• Availability to work within opening hours (e.g. evenings, holidays, weekends).

The Business Development Manager at SPA D’RAVIVER focuses on supporting business growth and client engagement within the wellness industry. SPA D’RAVIVER is a professional spa dedicated to delivering high quality massage therapy and foot reflexology services in a calm and relaxing environment that promotes overall well-being and stress relief.This role involves identifying business opportunities, strengthening client relationships, and supporting promotional and partnership initiatives. It also focuses on enhancing service positioning and customer experience to support brand visibility and sustainable business growth.

Specific Responsibilities
1.Identify and develop new business opportunities to increase spa clientele and revenue growth

2.Build and maintain strong relationships with clients and partners

3.Promote spa services such as massage therapy and foot reflexology to potential customers

4.Support the development and execution of marketing and promotional strategies to enhance brand visibility

5.Conduct market research to identify customer needs, trends and competitor activities in the wellness industry

6.Assist in creating service packages and promotional offers to attract and retain clients

7.Coordinate with internal teams to ensure smooth delivery of services aligned with client expectations

8.Monitor customer feedback and recommend improvements to enhance service quality and customer satisfaction

9.Support partnerships and collaborations with hotels, wellness centers, and other wellness-related businesses

10.Prepare basic reports on business performance, client acquisition, and marketing outcomes

Technical Skills and Competencies
1. Business Development Skills

2. Communication Skills

3. Customer Service Skills

4. Problem-Solving Skills

5. Market Research Skills

6. Strategic Planning Skills

Duration of Traineeship/Attachment Offered - 6 months

Mature Mid Career Individuals - $3,800

This Position is open for mid career individuals (Mature, 40 years and above).

Mid Career individuals from any qualifications level can apply.

We are looking for individuals passionate in Research and Youth studies.

• Up to $4,000 per month
• ASAP - 30 Sept 2026
• Kent Ridge MRT
• Mon - Fri, office hours

What to expect:

• Perform statistical data analysis using relevant analytical tools and software to support microbiome and epidemiological research projects.
• Conduct literature reviews to support study design, data interpretation, and the development of research outputs.
• Assist in the preparation and development of scientific manuscripts, reports, presentations, and the dissemination of study findings.
• Collaborate with research team members and external stakeholders to support project implementation and research deliverables.
• Provide administrative and operational support for research activities, including documentation, coordination, and other duties as assigned.

Who we are looking for:

• Possesses minimum a Bachelor's Degree in Biomedical Science or relevant disciplines.
• Knowledge of microbiome and statistical analysis (e.g. R and SPSS) is advantageous.
• Independent team player who works well in a team.

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

This authorizes us to:

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

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

Goh Yi Min, Mai - R22104617

ScienTec Consulting Pte Ltd - 11C5781

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.

The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary for resilient, just, and sustainable Southeast Asian societies.

CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state-of-the-art scientific results into real world solutions for Singapore, and it will transfer these solutions to Southeast Asia (SEA) and beyond.

As part of this programme, Cluster 5 Climate and finance markets will measure and price climate risk in financial markets, design innovative risk financing solutions to climate change, and quantify economic impact of climate policies.

The Research Fellow will be based in the Nanyang Business School and will contribute to interdisciplinary research under Cluster 5, with a particular emphasis on empirical analysis, AI-enabled data construction, and policy-relevant research outputs.

Duties and Responsibilities:

• Design, develop, and execute empirical research projects related to climate risk, financial markets, and climate policy, in alignment with the objectives of Cluster 5: Climate and Finance Markets under the Climate Transformation Programme.

• Construct, clean, and analyze large-scale datasets combining financial, environmental, and policy information, including both structured and unstructured data sources.

• Apply artificial intelligence and large language model (LLM) tools to extract, structure, and analyze information from unstructured sources such as corporate disclosures, regulatory filings, policy documents, and project-level reports.

• Develop and maintain retrieval-augmented generation (RAG) pipelines and related AI-enabled research workflows to support dataset construction, empirical analysis, and evidence synthesis.

• Implement rigorous empirical and quantitative methods to measure and price climate-related risks in financial markets and to assess the economic and financial impacts of climate policies.

• Contribute to the preparation of academic manuscripts for submission to leading peer-reviewed journals, as well as policy-oriented reports and research outputs.

• Collaborate closely with faculty investigators, research staff, and interdisciplinary partners across the University and with external collaborators.

• Support project coordination activities, including documentation of research workflows, version control of code and data, and supervision or mentoring of research assistants where appropriate.

Key Competency and Qualifications Requirements:

• PhD (or PhD near completion) in Computer Science, Finance, Economics, or a related quantitative discipline.

• Strong training in quantitative, empirical, or computational research methods.

• Experience working with large-scale datasets, including unstructured text data.

• Familiarity with AI and large language model (LLM) tools; experience with retrieval-augmented generation (RAG) frameworks is an advantage.

• Strong programming skills (e.g., Python, R, or similar).

Interested applicants are invited to submit a full CV and cover letter in one document. Enquiries about this position can be made to Asst Prof Chen Zhimin.

We regret that only shortlisted candidates will be notified.

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-Engineer-%28Data-driven-understanding-of-hydroclimate-extremes%29/33189-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are requested for Research Engineer (RE) positions on climate change, risk assessment of compound droughts and floods using the latest AI techniques in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS).

The selected Research Engineer (RE) is required to work on:
•    drought and flood risk assessment under climate change.
•    land use optimization and reservoir-informed managed aquifer recharge assessment. 
•    multi-sector dynamics. 

Job Requirements

•    At least a bachelor’s degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs.
•    Master’s degree is preferred.
•    Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell.
•    Ability to construct and write papers for leading research journals and conferences. 
•    Good written and spoken communication.
•    Open to fixed-term contract. 

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-Engineer-%28Data-driven-understanding-of-hydroclimate-extremes%29/33190-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are requested for Research Engineer (RE) positions on climate change, risk assessment of compound droughts and floods using the latest AI techniques in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS).

The selected Research Engineer (RE) is required to work on:
•    drought and flood risk assessment under climate change.
•    land use optimization and reservoir-informed managed aquifer recharge assessment. 
•    multi-sector dynamics. 

Job Requirements

•    At least a bachelor’s degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs.
•    Master’s degree is preferred.
•    Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell.
•    Ability to construct and write papers for leading research journals and conferences. 
•    Good written and spoken communication.
•    Open to fixed-term contract. 

Some careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

We are currently seeking a high calibre professional to join our team as an Manager, Actuarial Services.

In this role you will:

• Be part of Par & Universal Life Fund Management and Experience Studies team.
• Be responsible for supporting experience monitoring, assumption setting, and   Universal Life fund management.
• Support the monthly and quarterly delivery of management information for internal stakeholders.
• Support in ad-hoc actuarial projects and enhancement project of existing processes.
• Work with internal and external stakeholders to deliver the assigned tasks.
• Maintain documentation as per HSBC guidelines.

To be successful you will need: 

• University graduate in a relevant discipline in Actuarial Studies, with good progress in actuarial exams of an international recognized actuarial body.
• Relevant Actuarial experience, candidate with less experience will be considered for Associate position.
• Good communication skills, both written and spoken.
• Ability to work independently, interact with other departments
• Good technical, analytical and problem solving skills; Experience in SQL/Python and/or Prophet is a plus.
• Team player with good interpersonal skills and positive attitude.

Opening up a world of opportunity

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Issued by The Hongkong and Shanghai Banking Corporation Limited.

https://www.youtube.com/embed/NIa2CodFG6E?si=sFOWeYmq5fs3vE5i%22

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Offshore-Centrifuge-Modelling%29/33193-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The selected Research Fellow (RF) will be responsible for leading and managing research activities related to the project titled “Offshore Centrifuge modelling.” 

Key duties will include conducting offshore centrifuge modelling for Coastal Structures and aiding to supervise research assistants. He/she must also help in ensuring compliance with safety and ethical standards and contributing to the preparation of progress reports and grant documentation.

Job Requirements

•    Possess at least a PhD degree in relevant fields such as Civil Engineering, Ocean Engineering, Fluid Mechanics, Computer Science, or related disciplines. Applied Mathematics, Data Science, Electrical and Electronics Engineering, Earth Sciences, Remote Sensing, and Artificial Intelligence are also well-suited. (More details on PhD requirements can be found at: https://nusgs.nus.edu.sg/scholarships/nus-research-scholarship/)
•    Strong written and spoken communication skills. 
•    Has proficiency in programming languages (e.g., Python, MATLAB) and experience with data analysis tools.
•    Ability to work both independently and collaboratively within a multidisciplinary team.
•    Open to fixed-term contract.

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-Assistant-%28Quality-Assurance%29/33198-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant (Quality Assurance (QA) Executive) in the Clinical Imaging Research Centre (CIRC), Yong Loo Lin School of Medicine. CIRC is a dedicated molecular imaging research centre. It is equipped with on-site capability for the preparation of PET radiopharmaceuticals in a state-of-the-art GMP-certified facility. CIRC is positioned to support both academic and commercially led clinical research programs, with dedicated clinical imaging facilities area advanced modalities of PET-CT and PET-MRI. For more details on what we do, do visit https://medicine.nus.edu.sg/circ/. Appointments will be made on a two-years contract basis with the possibility of extension.

Purpose of the post

This role provides QA support across document control, batch record management, training records, supplier documentation, audits, and quality system activities. Responsibilities include maintaining quality registers, tracking due dates and CAPA actions, supporting Bizzmine eQMS document control, checking Batch Manufacturing Records for completeness, and assisting with QA reporting and trending. Also supports GMP training, supplier qualification records, inspection readiness, and maintenance of key controlled documents. In addition, the role contributes to QA improvement work and is being trained to support investigational radiopharmaceutical release as an Authorised Person under supervision.

Main duties and responsibilities

The QA Executive will be able to:

1. Provide OMS Support – maintain and update registers
2. Assist in document management & eQMS (Bizzmine)
3. Support Batch Record (BMR) & QA Operations
4. Assist, arrange & support training and filing of training records, especially the annual GMP training
5. Assist & support in maintaining supplier and material documentation
6. Assist & support during audit & inspection period
7. Assist in QA related improvement projects and digital quality system activities
8. To take up the role of Authorised Person for the release of investigational radiopharmaceuticals in compliance with PIC/S GMP (Under supervision)

Qualifications

The applicant should:

1. Have a minimum of bachelor’s degree (Honours) or higher in Pharmaceutical Science, Chemistry, Life Sciences or related discipline;
2. Previous experience working in a PET radiochemistry facility is highly desirable. 
3. Typically, 1-3 years of relevant experience in QA/QC/QMS in a regulated environment (GMP/PIC/S GMP experience is strongly preferred). 
4. Excellent understanding of radiochemical and radiopharmaceutical processes, including material flows, quality controls, and critical parameters in GMP environments. 
5. Strong organizational and project planning skills, with the ability to manage multiple tasks and priorities in a regulated environment. 
6. Working knowledge of GMP principles and their application to equipment qualification, maintenance, and facility operations. 
7. Understanding of radiation safety principles and engineered controls for radioactive materials. 
8. Excellent communication and teamwork skills, with a collaborative approach to problem-solving across scientific, quality, and engineering disciplines. 
9. Working knowledge of PIC/S GMP and good documentation practices (GDP). 
10. Strong coordination skills; able to follow up across teams and manage multiple deadlines. 
11. Comfortable working with digital systems (experience with eQMS is advantageous). 
12. Clear written communication, with strong attention to detail and integrity in a GMP environment 
13. Need to be adaptable and flexible to perform required tasks beyond the job description 
14. Willing to accept exposure of low radiation levels (radiopharmaceutical manufacturing) & enter clean room/rotational function.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Emmalyn Chan Mei Mei at emma.chan@nus.edu.sg.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to the NUS Career Portal.

We regret that only shortlisted candidates will be notified.