Total 638 Junior Executive level Education / Training job vacancies

Our client is a local leading education provider. They are looking for a Student Care Teacher / Assistant for the next phase of their business. They are located at East – Easily Accessible.

Student Care Teacher : Up to $3.5k

Assistant Teacher : Up to $2.5k

Responsibilities:

• Guide Primary 1–6 students with homework and academic support

• Deliver centre programmes and enrichment activities

• Monitor students’ progress and maintain communication with parents

• Prepare teaching materials and maintain a conducive classroom environment

• Ensure students’ safety, including school pick-up arrangements

• Support other duties assigned by the Centre Director

Requirements:

• Diploma or higher qualification in Mathematics, Science, or a related discipline

• At least 2 years of teaching or tutoring experience with primary school students

• Ability to teach primary-level subjects confidently

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/CV.

We regret that only shortlisted candidates will be notified.

Email Address: jobs@recruitpedia.sg
EA License No: 19C9682
EA Personnel No: R22104769
EA Personnel Name: Ong Boon Kiet (Travys)

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-%28Urban-StudiesQuantitative-Focus%29-Cities-Foresight-Lab%28CFL%29%2CNUS-Cities/32258-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Singapore Household Archetyping & Town Geodemographic Modelling (SGHA-TGM) project, commissioned by the Ministry of National Development, aims to build foundational knowledge in Singapore population geodemographics, with a particular emphasis on understanding household lifestyle preferences and their relationships with the built environment. The project is intended to develop the knowledge and technical capabilities to surface insights into the diverse socio-spatial contexts of urban living in Singapore, to support urban planners in anticipating evolving needs, sensemaking sentiments on the ground, and fostering a more inclusive and liveable urban environment.

We seek a highly motivated Research Assistant to contribute to the quantitative components of the SGHA-TGM project. You will develop computational models to enable the discovery of latent population structures, archetypes, and typologies from large-scale datasets. You will work alongside qualitative researchers to interpret and evolve the representational fidelity of groupings and insights derived from data to connect to lived experience and reflect real diversity in urban social life. These outputs will support forecasting frameworks and help planners anticipate evolving household needs at finer spatial scales.

Responsibilities
•    Clean, process, and integrate large population datasets from multiple sources (demographics, survey, behavioral, or administrative data), with differing schemas and granularity.
•   Implement clustering, classification, scenario simulation/projection, and probabilistic modeling techniques (such as statistical matching, spatial disaggregation, generative models) to derive household/resident archetypes from heterogeneous data sources.
•    Prototype, test, and refine different models/algorithms.
•    Collaborate with social science & urban studies researchers to ground quantitative findings in real-world population dynamics.
•    Coordinate with other technical teams to align modeling outputs with downstream projection needs and improve end-to-end workflows.
•    Contribute to data/method documentation, visualisations, and writing reports/publications.

Qualifications

•    Bachelor’s or Master’s Degree in Data Science, Statistics, Computer Science, Urban Analytics, or related quantitative disciplines.
•    Proficiency in Python and/or R, including data manipulation and analysis packages (e.g. SPSS/SAS).
•    Experience with clustering, classification, and supervised ML techniques, and relevant ML libraries (e.g., sklearn, PyTorch)
•    Familiarity with working on large and multi-source datasets; both structured and unstructured.
•    Resourceful and critical with good communication skills; able to work independently while collaborating effectively with interdisciplinary teams of social scientist and planners.

Preferred
•    Experience working with population data (e.g., census), as well as behavioural (e.g., travel survey, choice experiments) and/or spatial data structures.
•    Familiarity with probabilistic models, generative models, graphical models, and/or deep learning.
•    Familiarity with data fusion techniques such as statistical matching and/or marginal fitting.
•    Interest in social/urban applications of data science.

Application Procedure 
Interested applicants should submit a dossier consisting of the following to the NUS Career Portal:
•    a cover letter (maximum 3 pages)
•    up-to-date CV
•    a statement describing their research trajectory, interests and career ambitions
•    contact details for three referees. Only short-listed applicants will be invited to submit reference letters. 

The anticipated start date for the position is 27 April 2026. We will begin evaluating candidates immediately, but the position will remain open until a suitable candidate is found. Further enquiries should be sent to nixiesap@nus.edu.sg (please indicate “Research Assistant (Urban Studies / Quantitative Focus) Application for SGHA-TGM” as the subject heading).

Our client is a local leading education provider. They are looking for a Student Care Teacher / Assistant for the next phase of their business. They are located at East – Easily Accessible.

Student Care Teacher : Up to $3.5k

Assistant Teacher : Up to $2.5k

Responsibilities:

• Guide Primary 1–6 students with homework and academic support

• Deliver centre programmes and enrichment activities

• Monitor students’ progress and maintain communication with parents

• Prepare teaching materials and maintain a conducive classroom environment

• Ensure students’ safety, including school pick-up arrangements

• Support other duties assigned by the Centre Director

Requirements:

• Diploma or higher qualification in Mathematics, Science, or a related discipline

• At least 2 years of teaching or tutoring experience with primary school students

• Ability to teach primary-level subjects confidently

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/CV.

We regret that only shortlisted candidates will be notified.

Email Address: jobs@recruitpedia.sg
EA License No: 19C9682
EA Personnel No: R22104769
EA Personnel Name: Ong Boon Kiet (Travys)

You will be assisting the Centre Instructor in ensuring the smooth operation of the Centre.

Your key areas of responsibility will include, but are not limited to the following:

• Guiding students
• Marking & recording of worksheets
• Packing of worksheets
• Administrative work
• Maintain cleanliness of the centre

Requirements:

• GCE “O” level holders & above
• Able to work on Mon, Tue, Fri 3.30pm-8.30pm & Sat 10am-2pm
• Enjoy working with children
• Must be fully vaccinated

Job Title: Customer Service Assistant
Location: Tampines 528893

About the Role:
DB Golf Center is seeking a Part-Time Customer Service Assistant to join our team. The role will primarily focus on customer service at the new location, with occasional shifts at our Tampines center. If you have a passion for customer service and enjoy contributing to a dynamic and growing golf facility, we would love to hear from you!

Alternate shifts on weekdays and weekends, with 2 days off per week.

Key Responsibilities:

• Customer Assistance: Provide exceptional service to customers, ensuring a smooth and positive experience.
• Facility Navigation: Guide customers through the facility, assisting them with golf range, simulators, and event areas.
• Booking & Scheduling: Assist in managing bookings for lessons, simulator sessions, and events.
• Product Knowledge: Offer information on DB Golf Center’s services.
• Administrative Support: Help with operational tasks, including maintaining the customer service area and ensuring equipment functionality.
• Collect Payments: Handle customer payments for bookings, services, and products, ensuring accurate transactions and receipts.
• Customer Feedback: Gather and report customer feedback to management for continuous service improvement.

Qualifications & Experience:

• Required:
  Previous customer service experience, preferably in a sports or leisure setting.
  Strong communication skills and a friendly, approachable attitude.
  Ability to stay organized and manage multiple tasks efficiently.
  Willingness to work primarily at the new North location, with occasional shifts at the Tampines center.
• Preferred:
  Knowledge of golf or prior experience in a golf-related environment.
  Comfortable with basic administrative duties and processing digital payments.

Additional Requirements:

• Flexibility to work shifts on weekends and public holidays as needed.
• A positive, professional attitude with excellent customer service skills.

If you're passionate about delivering exceptional customer experiences and excited to join our expanding team, apply now!

Job Responsibilities

• Provide administrative support including filing, data entry, and document management
• Assist in scheduling appointments and managing calendars
• Handle basic correspondence and communication with internal teams
• Maintain records and update databases accurately
• Support day-to-day office operations to ensure smooth workflow

Job Requirements

• Min GCE ‘N’/‘O’ Levels, ‘A’ Levels, Diploma and above
• Keen interest in the healthcare/medical industry
• No experience needed, full training will be provided
• Basic knowledge of Microsoft Office
• Able to start work immediately

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

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

Tsin Chien Yee Sally

R25127272

Recruit Express Pte Ltd

EA License No. 99C4599

Job Description

The laboratory of Dr. Koji Itahana within the Signature Research Programme in Cancer and Stem Cell Biology (CSCB) at Duke-NUS is recruiting a Research Assistant with strong enthusiasm and interest in tumor suppression. The KI lab’s scientific focus is to understand the diverse roles of p53 in tumor suppression and cancer metabolism. Dr Itahana’s laboratory uses a wide range of state-of-the-art molecular biology techniques and investigates the molecular mechanisms underlying cancer development.

The selected candidate will perform a variety of functions related to research under the supervision of the Principal Investigator or his/her designate: -

• Perform tasks and support all aspects of the research project.
• Conduct accurate monitoring, documenting and reporting of experimental results and research findings.
• Evaluate and interpret collected data and prepare oral presentations or written reports/ scientific manuscripts/literature for publication and analyses setting forth progress, adverse trends and appropriate recommendations or conclusions.
• Contribute to some project management, provision of guidance to undergraduate/medical students.
• Assist with general upkeep of laboratory needs, maintain safety protocols, provide technical support and establish work procedures to ongoing research projects.
• Perform other related duties incidental to the work described herein.

Job Requirements

• Bachelor’s or Master’s degree in Biology, Biomedical Sciences, Molecular Biology, or related field.
• Demonstrated basic knowledge, skills and expertise in supporting various research activities.
• Knowledge of the scientific background relevant to the research area.
• Laboratory experimental skills.
• A strong team player who is open-minded, energetic, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.

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-Assistant-%28Economics%29/32230-en_GB/?st=352FAAFA9107D11AEF26480100AE1680A0F7B206

We regret that only shortlisted candidates will be notified.

Job Description

Work with Asst. Profs. Siddharth George and Martin Mattsson

We seek to hire one full-time research assistant to support our research agenda, “Evaluating Public Sector Governance in Asia” in Development Economics, Public Economics, and Political Economy. For more information about our research see our websites www.martin-mattsson.com and https://sites.google.com/view/siddharthgeorge/home.

This is an excellent opportunity for anyone interested in cutting-edge quantitative social science and/or graduate work in economics. The research assistant will work directly with us and learn about how handle data and code systematically, econometric methods, how to visualize quantitative research results, and how research papers in economics are developed and written.

Job responsibilities

• Clean, analyze, and collect data
• Create visualizations of research results
• Read and summarize research papers
• Assist in administrative tasks related to the research process

Required skills and interests

• A genuine interest in doing quantitative social science research in economics or related fields. If you do not have this interest you will not enjoy the work and will not find the skills you learn on the job useful
• Stata or R coding experience
• Good English written and oral communication skills
• Knowledge of Hindi, Bengali and/or other Indian languages

Desired skills and interests (these are a plus but not required):

• Degree in Economics, Mathematics, Computer Science or related fields
• An interest in development economics
• Knowledge of econometrics and economic models
• Experience with LaTeX and/or LyX
• Experience with web scraping

Time period and location

The RA should be able to start work in Singapore sometime in May 2026 and work full-time for at least one year. They will have weekly meetings with Siddharth and Martin.

Admin Assistant

Working hours: 5 days (Mon - Fri 815am - 530pm)
Location: Joo Koon (Transport from Lakeside / CCK / Joo Koon MRT) 
Salary: $2000 - $2500

Responsibilities:

• Provide general administrative support
• Handle data entry, filing, and document management
• Prepare reports and documents using Microsoft Office (Word, Excel, PowerPoint)
• Manage emails, phone calls, and scheduling
• Assist with other ad-hoc administrative duties

Interested applicants can also send your resume to WA:+65 83472904 (Mr Samuel) and allow our Consultant to match you with our Clients.

No Charges will be incurred by Candidates for any service rendered.

Samuel Siaw

The Supreme HR Advisory Pte Ltd

EA No: 14C7279

Reg No: R2412474

Our client is a local leading education provider. They are looking for a Student Care Teacher / Assistant for the next phase of their business. They are located at East – Easily Accessible.

Student Care Teacher : Up to $3.5k

Assistant Teacher : Up to $2.5k

Responsibilities:

• Guide Primary 1–6 students with homework and academic support

• Deliver centre programmes and enrichment activities

• Monitor students’ progress and maintain communication with parents

• Prepare teaching materials and maintain a conducive classroom environment

• Ensure students’ safety, including school pick-up arrangements

• Support other duties assigned by the Centre Director

Requirements:

• Diploma or higher qualification in Mathematics, Science, or a related discipline

• At least 2 years of teaching or tutoring experience with primary school students

• Ability to teach primary-level subjects confidently

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/CV.

We regret that only shortlisted candidates will be notified.

Email Address: jobs@recruitpedia.sg
EA License No: 19C9682
EA Personnel No: R22104769
EA Personnel Name: Ong Boon Kiet (Travys)

Job Description & Requirements:

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-%28Quantitative%29/32170-en_GB/?st=B0D96B26845809F1978CF44462D0B0302EDA974A

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 Assistant

We are looking for research assistants with a quantitative background for ongoing research in Public Health.
They will be working within the team under the Principal Investigator Dr Shihui Jin alongside multiple collaborators and experts.
Methods include agent based/individual based modelling, SEIR modelling, geospatial statistics, Bayesian statistics, burden mapping, measuring the impact of the environment on disease among others. The PI has projects in both infectious and chronic disease, measuring the impact of interventions.

Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming. We will also consider candidates who have extensive C++ or Python coding knowledge as these are transferrable to R.

The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array of methods to infer statistical relationships and health outcomes. Further mathematical modelling will also be carried out when necessary involving diagnostic flows and where appropriate, disease spread and/or illness progression.

The Principal Investigator(s) is seeking for an independent worker who is well-organized, analytical and codes competently. They will however be receiving support from a team of mathematicians, epidemiologists and statisticians, and have a diverse portfolio of tasks. Under the team’s guidance, they will be expected to co-lead their own publications.

We welcome academic creativity and will be highly supportive of candidates who wish to either pursue academia or desire for career progression provided they show self-motivation to showcase their problem-solving abilities.

Responsibilities:

• Disease modelling
• Statistical analyses
• Academic writing and publication of results
• Preparation of meeting materials for stakeholders

Requirements:

• Completed a BSc in a quantitative discipline (statistics, mathematics, computational biology, data science).
• Strong programming skills (R preferred)
• Statistical competence (Bayesian is advantageous)

Please email the PI at jinshihui@nus.edu.sg for further details.

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%2C-Dept-of-Finance/32165-en_GB/?st=210AF4875C297D7054478E3FBA4FE7568D15C4B1

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for highly skilled and motivated individuals to work with as full-time research professionals for a period of at least one year.  You will work with us on a variety of tasks, including data collection and analysis, statistical programming and data visualization, conducting literature reviews, summarizing research findings and policy documents, and editing research papers.

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-%28Generative-AI-for-Blockchain-Designs%29/30242-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

In the era of rapidly advancing artificial intelligence, the project aims to explore how to leverage the power of large language models for meaningful blockchain consensus designs. The project will also look into applications in supply chain finance and is supported by DTC Singapore.

Job Requirements

•    Holding a Bachelor’s degree in Computer Science, Industrial Engineering, Mathematics, Finance, Financial Engineering or other related Engineering or Science disciplines.
•    Background in Natural Language Processing (NLP): Candidates should have some understanding of machine learning principles, particularly in the field of NLP. The candidate should be familiar with transformer architectures, such as BERT, GPT, or T5, and have experience in fine-tuning and training these models on large datasets.
•    Proficiency in Blockchain and Cryptocurrency: Prior exposure to understanding of blockchain mechanisms, especially consensus, is essential. The candidate should be proficient in writing smart contracts for specific purposes.
•    Programming Skills: Strong programming skills are preferred, particularly in languages commonly used in machine learning and smart contracts, such as Python and Solidity. Candidates should be adept at libraries and frameworks like TensorFlow, PyTorch, Hugging Face Transformers, and Scikit-learn.

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-%28Implementation-Science%29/32171-en_GB/?st=4021AFAF4E33E3B324E8950E04518E6544585521

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 within the Telehealth Core:

Research Assistant (Implementation Science)

At the Telehealth Core we leverage technology & design to accelerate research and improve outcomes in behavioural health & chronic diseases. We focus on delivering tailored interventions in healthcare by building digital tools and harnessing the insights from users and patients.

If you are seeking purpose and impact in your career, we may be the right team for you. Research Associate (Implementation Science).

Job Summary:

We are seeking a highly motivated Implementation Science Researcher with expertise in rehabilitation services to lead and support research aimed at bridging the gap between evidence-based practices and real-world clinical application. This role focuses on improving the adoption, integration, and sustainability of rehabilitation interventions across healthcare systems. This position plays a critical role in improving patient outcomes by ensuring that effective rehabilitation interventions are successfully implemented and sustained in real-world settings, ultimately enhancing quality of care and health system performance.

Responsibilities:
• Design, conduct, and evaluate implementation research projects within rehabilitation settings (e.g., physical therapy, occupational therapy, speech-language pathology).
• Develop and apply implementation frameworks, models, and strategies to enhance uptake of evidence-based rehabilitation practices.
• Collaborate with clinicians, healthcare administrators, policymakers, and patients to co-design and implement interventions.
• Conduct mixed-methods research, including qualitative and quantitative data collection and analysis.
• Evaluate program effectiveness, scalability, and sustainability in diverse healthcare contexts.
• Identify barriers and facilitators to implementation and develop strategies to address them.
• Prepare grant proposals, research reports, and peer-reviewed publications.
• Translate research findings into practical recommendations, guidelines, and policy briefs.
• Support capacity building and training initiatives for healthcare professionals in implementation science.
• Ensure compliance with ethical standards and regulatory requirements.

Application Process:
Interested applicants should submit the following documents through the NUS Career Portal link in this post :
1. Cover letter outlining research experience and qualifications that meet this job description. Please also note salary expectation.
2. Curriculum vitae (maximum four pages).
3. Two writing samples (e.g., research essays, reports, articles with quantitative analysis that you conducted).

Note: Only shortlisted candidates will be contacted for interviews.

Company Overview
We are a research group and service core that develops eHealth projects. Our mission to create patient-centered technologies for great health and wellness outcomes. We believe innovation and impact are driven by great user experiences. View our projects at https://medicine.nus.edu.sg/nuhscg/core-facilities/telehealth-core/about-us/

Recruitment is open immediately, and will continue until the position is filled.

Please note that only shortlisted candidates will be contacted.

Qualifications

Qualifications:

• Master's Degree: Possess a Master's degree in Implementation Science, Rehabilitation Science, Public Health, Health Services Research, or a related field.
• Demonstrated experience in implementation science research, preferably in rehabilitation or allied health.
• Experience working in clinical or healthcare delivery settings.
• Track record of peer-reviewed publications and/or funded research.
• Experience with implementation frameworks (e.g., CFIR, RE-AIM, PARIHS) is highly desirable.

Preferred Qualifications:
• Experience working with diverse populations and health systems.
• Knowledge of digital health or tele-rehabilitation implementation.
• Experience in policy engagement or health system transformation initiatives.
• Familiarity with data science or health informatics tools.