Total 297 admin assistant job vacancies in Education / Training category in Singapore

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-%28Computer-Science%29/32470-en_GB/?st=268F709592288E636706A7A9A3F4FD9E1228D918

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The successful candidates will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. 

Only shortlisted candidates will be notified.

Job Requirements

•  Bachelor’s or Master's degree in Computer Science
•  Experience in Research
•  Demonstrated ability to carry out independent research or project work.
•  Excellent communication, documentation, and teamwork skills.

The School of Social Sciences (SSS) at Nanyang Technological University, Singapore (NTU) invites suitable applications for the position of Research Assistant (Psychology/Education) on a 24-month contract basis, renewable subject to performance and project needs.

Project Title: Profiling Academic Trajectories and Heterogeneity of Low-Progress Learners for Enhancing Learning Support (PATHS)

Project Introduction: The PATHS study is a Ministry of Education (MOE)-funded longitudinal investigation tracking 500–600 Primary 1 students enrolled in the Learning Support Programme (LSP) and/or Learning Support for Mathematics (LSM) across 20+ Singapore primary schools. Using person-centred analytic models, the study identifies heterogeneous learner subgroups across cognitive, literacy, mathematical, and socio-emotional domains, and examines how these profiles evolve and predict academic outcomes. Findings will inform more targeted, evidence-based support for low-progress learners.

The Research Assistant will support the day-to-day implementation of this large-scale study under the supervision of the Principal Investigator.

Key Responsibilities:

• Liaise with participating primary schools and coordinate day-to-day research operations

• Administer psychoeducational assessments and experimental tasks one-to-one with students

• Distribute, collect, and track parent and teacher questionnaires

• Maintain research records; support data entry, cleaning, and quality checking

• Assist with ethics documentation, literature searches, research reports, and stakeholder materials

• Train and coordinate part-time student research assistants during data collection

• Perform administrative and procurement tasks as required by the Principal Investigator

Job Requirements:

Essential:

• Bachelor's degree in Psychology, Education, Child Development, Sociology, or a related field

• Strong interpersonal and communication skills; good command of spoken and written English - essential for data analysis and communication with stakeholders

• Well-organised, self-motivated, and able to meet deadlines; willing to travel to school sites

• Proficient in Microsoft Office (particularly Excel and Word)

Preferred:

• Prior experience administering psychometric or psychoeducational assessments to children

• Experience conducting school-based research or working with young children (Primary 1–3 level)

• Familiarity with statistical software (e.g., SPSS/jamovi/JASP, R) and data management

We regret that only shortlisted candidates will be notified.

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)

Pay: Up to $6,000

Location: Queenstown

Work hours: Monday - Friday, office hours

 Job Scope

• Coordinate Medical Officer (MO) onboarding, rotations, and postings with departments

• Administer training, compliance, and required documentation for MOs and serve as main contact for MO-related queries

• Manage appraisals and ranking exercises with faculty and ministry

• Provide operational and administrative support to director and team

• Act as liaison between residents, faculty, and departments for training programmes

• Coordinate communications and admin processes for residency activities

• Manage Programme Letter of Agreement (PLA) documentation and compliance

• Administer faculty appointment letters

• Organize procedural courses, schedules, registrations, and logistics

• Handle departmental admin duties (onsite support, meeting minutes, course coordination)

 Requirements

• Minimum degree in any discipline

• Minimum 3 to 5 years’ work experience in an administrative related role, preferably in an educational/ healthcare institution

If interested, please email me at pharmascience@recruitexpress.com.sg or telegram @alexgohhl

Alex Goh Hock Leong

(CEI.No: R1763413 l Recruit Express Pte Ltd (Healthcare & Life Science) | 99C4599).

Key Highlights:

• Office Hours: Monday-Friday
• Nearest MRT: Caldecott Station
• Be a part of meaningful social services research, supporting data analysis, stakeholder engagement, and project implementation to drive impactful outcomes for specialized populations.

Key Responsibilities:

• Research Support: Assist in conceptualizing, planning, and executing both quantitative and qualitative research with specialized populations in the social service sector.
• Data Management: Set up and manage datasets of varying complexities (e.g., client-centric, time-series data), ensuring accuracy and quality control.
• Stakeholder Engagement: Engage with clients and stakeholders to facilitate data collection, building strong communication and client engagement skills.
• Data Analysis: Process and analyze data using tools such as Excel, R, SPSS, and other relevant software.
• Reporting & Presentation: Communicate research findings through data visualization and presentations to stakeholders.
• Collaboration: Work independently while collaborating effectively within a project team, contributing to research updates and the smooth implementation of research projects.
• Documentation & Process Support: Assist in the documentation of research processes and ensure the completion and quality of datasets.
• Capability Building: Contribute to the development of materials for corporate functions, such as infoposters and presentations.

Key Requirements:

• Bachelor’s degree in Psychology, Social Work, or a related social science discipline.
• Understanding of qualitative and quantitative research methodologies, with experience in statistical analysis.
• Familiarity with tools like Excel, SPSS, R, or similar data analysis software.
• Excellent interpersonal, written, and oral communication skills.
• Highly organized, with the ability to work independently and manage multiple deadlines.

Only shortlisted candidates are notified. Thank you.

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BGC Group Pte Ltd (Outsourcing)

EA 05C3053

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-AssistantAssociate-Policy-Analyst-Economic-Evaluation/32452-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Research Assistant/Associate Policy Analyst – Economic Evaluation

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a Research Assistant/Associate Policy Analyst. Rapid population ageing in Singapore underscores the need for effective interventions to support healthy and active ageing. This project aims to evaluate the impact of interventions (e.g. Age Well SG and related community-based programmes) on health outcomes, functional status, healthcare utilisation, and wellbeing among older adults. The study will draw on longitudinal and administrative datasets and will involve quantitative analysis and policy-relevant modelling to inform ageing and healthcare policies in Singapore. This is a full-time position based in Singapore.

Duties may include, but are not limited to: (1) providing programming support for research projects; (2) conducting statistical and econometric analyses using longitudinal and administrative data; (3) managing large and complex datasets; (4) evaluating programme impacts on health, frailty, and healthcare utilisation; (5) supporting cost and policy modelling; (6) conducting literature reviews; and (7) contributing to scientific manuscripts, reports, and dissemination of findings.

The appointed candidate should: (1) hold at least a bachelor’s degree; (2) be proficient in Stata or R; and (3) have training in statistics, mathematics, economics, computer science, quantitative social science, public health, epidemiology, or a related field. Experience with programme evaluation, longitudinal data analysis, or microsimulation modelling is preferred. Familiarity with C++ is advantageous but not required.

The ideal candidate should demonstrate the ability to work with large datasets and have strong knowledge of quantitative methods. Strong analytical thinking and work ethic, attention to detail, and problem-solving skills are essential. Excellent written and spoken English is required, as the candidate will engage with stakeholders and contribute to reports and publications.

The position is for one year but can potentially be extended. The grade of appointment will be accorded based on the candidate’s academic qualifications and years of relevant experience.

Applicants should send the following to the NUS Career Portal:
1) Cover note introducing themselves (no more than 500 words);
2) A two-page Curriculum Vitae (only including relevant information), containing details of two named referees;
3) A sample of published work and their roles in the projects, if applicable.

Interviews will be face-to-face for candidates. We are accepting applications until the position is filled.

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-AssistantAssociate-Policy-Analyst-Retirement-Adequacy/32451-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Research Assistant/Associate Policy Analyst – Retirement Adequacy

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a Research Assistant/Associate Policy Analyst. Rapid population ageing in Singapore raises important questions about financial resilience and retirement adequacy. This project aims to examine how life-course transitions in employment, health, caregiving, and housing shape income, expenditure, and financial vulnerability in later life. The study will draw on longitudinal datasets, including the Retirement and Health Study and will involve quantitative analysis and policy-relevant modelling to inform retirement and ageing-related policies in Singapore. This is a full-time position based in Singapore.

Duties may include, but are not limited to: (1) providing programming support for research projects; (2) conducting statistical and econometric analyses using longitudinal data; (3) managing large and complex datasets; (4) constructing indicators of retirement adequacy and financial vulnerability; (5) supporting policy modelling; (6) conducting literature reviews; and (7) contributing to scientific manuscripts, reports, and dissemination of findings.

The appointed candidate should: (1) hold at least a bachelor’s degree; (2) be proficient in Stata or R; and (3) have training in statistics, mathematics, economics, computer science, quantitative social science, public health, epidemiology, or a related field. Experience with longitudinal data analysis or microsimulation modelling is preferred. Familiarity with C++ is advantageous but not required.

The ideal candidate should demonstrate the ability to work with large datasets and have strong knowledge of quantitative methods. Strong analytical thinking and work ethics, attention to detail, and problem-solving skills are essential. Excellent written and spoken English is required, as the candidate will engage with stakeholders and contribute to reports and publications.

The position is for one year but can potentially be extended. The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

Applicants should send the following by email to the NUS Career Portal:

1) Cover note introducing themselves (no more than 500 words);
2) A two-page Curriculum Vitae (only including relevant information), containing details of two named referees;
3) A sample of published work and their roles in the projects, if applicable.

Interviews will be face-to-face for candidates. We are accepting applications until the position is filled.

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-in-Quantum-Algorithms-and-Machine-Learning/32457-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing. 

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at https://www.cqt.sg/

Job Description

We are seeking a promising Research Assistant to join an advanced research project at the intersection of quantum computing and machine learning, focused on developing scalable and coherent training methods for quantum models.

This project tackles one of the central challenges in quantum machine learning: how to train quantum systems efficiently and reliably on scaling quantum hardware. The research will develop novel optimization frameworks based on quantum dynamics and apply them to advanced learning architectures.

The successful candidate will contribute to both theoretical advances and experimental implementations, with opportunities to co-author publications and engage with leading researchers in the field.

Main Responsibilities:

• Develop and implement quantum learning models
• Design and evaluate novel quantum optimization and training algorithms
• Perform large-scale simulations using frameworks such as Qiskit and PennyLane
• Potentially execute experiments on state-of-the-art quantum hardware
• Benchmark quantum models against classical and hybrid baselines
• Contribute to research publications at leading venues
• Develop reusable, high-quality research code and contribute to open-source tools

Qualifications

• Master’s or PhD in Computer Science, Physics, Mathematics, or a closely related field
• Mathematical foundation, particularly in linear algebra, probability, and optimization
• Background or strong interest in quantum computing, quantum information, or quantum algorithms
• Knowledge of machine learning (e.g., deep learning, optimization, or learning theory)
• Programming skills in Python and experience with scientific computing (e.g., NumPy, SciPy, PyTorch)
• Experience with numerical simulations, algorithm design, or high-performance computing is advantageous
• Familiarity with quantum software frameworks (e.g., Qiskit, PennyLane, Cirq) is preferred
• Experience with research or advanced technical projects
• Analytical thinking, problem-solving skills, and intellectual curiosity
• Ability to work both independently and collaboratively in a research environment
• Strong scientific writing and communication skills

More Information

Interested applicants should submit the following documents to the NUS Career Portal:

• Curriculum Vitae (CV)
• Academic transcripts
• Cover letter (1-2 pages) outlining research interests and relevant experience
• Sample of technical work (e.g., paper, report, or code repository)
• Contact information for 2 referees (Letters may be requested at a later stage)

For more information, please reach out to lpira@nus.edu.sg

We encourage applications from candidates with diverse backgrounds. Applicants who do not meet all the listed criteria but are interested in the role are encouraged to apply.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• To independently undertake research in 3D computer vision and visual generation.

• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.

• To provide guidance and support to any students associated with the project.

• To attend, contribute, and where necessary lead relevant meetings.

• To undertake any other duties relevant to the programme of research.

Job Requirements:

• Preferably Bachelor’s degree in computer engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

MAJOR DUTIES AND RESPONSIBILITIES

(A) SPECIFIC (90%)

1. Liaison person with Principal Investigator (PI) and site-PI.
2. Liaison person with various departments for clinical research procedures e.g. Specialist Clinics, Laboratory, wards, etc.
3. Adherence to protocol procedure.
4. Screening and recruiting suitable candidates as research participants.
5. Explain protocol to research participants and ensure that informed consent is taken as per International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) Guideline for Good Clinical Practice (GCP) and Human Biomedical Research Act (HBRA) requirements
6. Contact and schedule appointments for research subjects within the time frame required in the protocol.
7. Centrifuge blood specimens and send specimens to laboratory.
8. Tracing and returning of case notes, blood results and all other results required in the protocol.
9. Responsible for data collection and performing research procedures.
10. Maintain documentation of patient reimbursement logs, hardcopy and electronic case report forms.
11. Maintain source documentation for each patient accordance to protocol requirements.
12. Identify, document and submit protocol deviations to Institutional Review Board (IRB) according to hospital and sponsor procedures.
13. Inform PIs and collaborators on any adjustments based on protocol change.
14. Complete, report and follow up on unanticipated problems involving risk to subjects and adverse events and/or serious adverse events
15. Work with in-house Research Database IT Specialist on extraction of patient medical records and data mining.
16. Traveling to research participants’ house may be required.

(B) GENERAL (10%)

1. To participate in projects and activities as assigned by Director, Clinical Research Unit

JOB REQUIREMENTS

(A) EDUCATION, TRAINING AND EXPERIENCE

• Minimum Diploma in Biomedical Science or equivalent
• Experience as a Research Assistant will be preferred

# Convenient work location nearby MRT Station (North/Central)

# Salary up to $4500 + Great Benefits

# 5 days work week

A primary healthcare institution in Singapore is currently seeking candidates to join them as a Research Support Assistant.

Job Responsibilities:

• Support grant administration, including submissions, budget planning, utilisation tracking, and claims.
• Coordinate external research collaborations and review research agreements.
• Manage submissions for ethics approval and research funding.
• Monitor research activities, prepare reports, and support temporary research staff.
• Assist in budget tracking, research programme planning, policy implementation, and committee secretariat support.
• Collaborate with internal and external stakeholders to ensure smooth conduct of clinical research.
• Assist in the planning and development of research spaces within clinics and office environments.
• Oversee the maintenance and management of research data storage drives.
• Manage and update research-related content on the company website.

Job Requirements:

• Degree in Nursing, Health Science, Social Sciences or related
• 1-2 years of experience in research related duties
• Knowledge of Good Clinical Practice, medical and research terminology and ethics

Looking for a new job or career opportunity? Please email your detailed resume in MS Word Format to tammi.ng@celecti.com.sg

Tammi Ng Yi Ning (Ms.)

Talent Acquisition Consultant

CEI Registration No.: R24119611

Contact No.: + 65 9669 8981

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-%28LKYSPP%29-%2832429%29/32429-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a full-time Research Assistant (Quantitative Analysis) to work on empirical research in the area of population aging, mortality, and pensions, with an active focus on Singapore and Asia. The project is part of a larger interdisciplinary research program aimed at developing a better understanding of how aging beliefs and mortality expectations may influence financial decision-making among participants in a pension scheme. The Principal Investigator of this project is Associate Professor Joelle Fong. 

The LKY School of Public Policy is part of the National University of Singapore, which is Asia’s top university in the QS World University Rankings.

Candidates should have a background in Statistics, Economics, or Risk Management & Insurance.  Knowledge of mortality analysis and life table methods is required. Candidates with also some knowledge and experience in how pension systems function will be a good fit. The successful candidate must demonstrate good overall competence in quantitative research methods and be proficient with statistical software such as STATA or R.  Due to the nature of the role, excellent written and spoken English is essential. 

Other responsibilities include:

• Assist with drafting literature review and questionnaire design
• Assist with data analysis in R and STATA (data collection / cleaning)
• Research administration support 
• Other ad-hoc duties as assigned

The full-time position will have a 12-month term.

Qualifications

• Master’s degree or equivalent in Statistics, Economics, or Risk Management & Insurance, from a reputable university
• Familiar in working with large datasets for statistical analysis
• Demonstrate good organisational and analytical skills
• Responsible and detail oriented
• Must be able to self-motivated, able to work independently, as well as in a team

The candidate is expected to be physically present in office during the stipulated working hours, and able to commit to at least 1 year of service. 

Benefits:

• Internationally competitive salary, 1-year contract
• Salary and appointment will be commensurate with the candidate’s qualifications, track record, potential, experience
• Highly collegial working environment with an internationally diverse group of scholars
• Excellent research support provided by the School and NUS

Application Procedure:

Interested applicants are invited to send the following list of documents via the NUS Career Portal.

• Cover letter
• Curriculum vitae
• Three writing samples

Your cover letter should include details such as your highest qualifications, past research experience, last drawn salary (if applicable), expected salary, and country of citizenship. Please also state when you can begin work, if you are selected for the role.

Applications will be accepted until the position is filled. Should you be shortlisted, a faculty member or an administrator will contact you directly for an interview. 

You will be joining the Maple Bear team where you will receive training designed to inspire and equip you as you work hand in hand with us to give the best care to the children entrusted to us.

You will be an Assistant Pre-School Teacher attached to different classes caring and teaching children who are aged 18 months to 6 years of age. This will give you the opportunity to understand and learn some of the basic care giving skills required by being immersed in the working environment and day-to-day operations of a child care centre.

You will be assigned to observe and work with toddlers and preschoolers with the supervision of a trained teacher to gain practical experience. The job trial will enable you to decide if they have the personal attributes and basic skills to take on employment and be trained as a certified Early Years Educator.

Upon completion, successful applicants will be given the option of being sponsored by the company to undergo a preschool diploma training programme under the place and train scheme.

We are looking for energetic, fun-loving, passionate teachers

• who enjoy interacting with children and understand that they learn in different ways
• who will cheerfully assist the english and chinese teacher in caregiving duties
• who takes initiative and exhibits professionalism and integrity in all aspects of work and interaction
• who is considering whether to attend the early childhood training course
• who enjoys being a part of a close-knit team

#SGUnitedJobs

Working Hours : 9am - 6pm

Locations : MapleBear Hillview

MapleBear Hillview

63 Hillview Avenue, 02-08, Lam Soon Building, Singapore 669569

Location: Raffles Place

Duration: 6 months contract

Working Hours: 8:30 - 6, Mon - Fri

Salary: Up to $15/hour

Job Responsibilities:

• Manage end-to-end course registration (e.g. enrolments, confirmations, attendance tracking)
• Coordinate training logistics (e.g. scheduling, venue booking)
• Prepare training materials, attendance sheets, and evaluation forms 
• Maintain and update learning records and trackers
• Liaise with internal stakeholders, trainers, and external vendors
• Consolidate training feedback and generate basic reports
• Handle ad-hoc administrative and coordination tasks

Job Requirements:

• Minimum Diploma/Degree in any field with admin experience

Ally
The Outsourcing Team
Recruit Express Pte Ltd
EA: 99C4599

Requirements:

• Possess a Diploma/Degree in related field of study (Psychology, Social Work) and have completed SDESN
• Diploma in Special Education by National Institute of Education (NIE)
• Minimum 3 years working experience with young child with neurodevelopmental and diverse needs in an early intervention setting
• Knowledge of AEPS would be an advantage
• Proficient in writing and communicating in English language
• Converse in Mandarin would be an advantage and able to speak to Mandarin speaking parents and caregivers
• Able to handle the physical demands of the role, such as lifting and carrying the students and equipment, and cleaning and maintaining equipment and facilities.
• Salary will commensturate with qualifications and experience

Responsibilities:

1. Leadership in Curriculum Development

• Design, plan, and implement individualized curriculum, lesson plans, and IEPs for all students, ensuring alignment with academic and developmental goals.
• Deliver tailored lessons while overseeing the effective execution of the curriculum by all teachers to maintain consistency in quality and approach.
• Proactively oversee curriculum mapping and differentiation, ensuring lessons meet the diverse needs of all students.

2. Programme Evaluation and Development

• Manage the enrolment and internal assessment processes for all students, ensuring timeliness and comprehensiveness.
• Utilize assessment data to inform curriculum planning and interventions, proactively aligning lesson plans with students' academic, social, and developmental goals.

3. Behavioral and Social-Emotional Interventions

• Lead the planning and implementation of social, emotional, and behavioral interventions, ensuring they are tailored to individual learning objectives.
• Provide ongoing behavioral support strategies and guidance to teachers on effectively managing student behavior.

4. Mentorship and Teacher Development

• Mentor teachers and assistant teachers in curriculum execution, lesson delivery, classroom management, and behavioral interventions.
• Lead regular in-house training sessions to enhance instructional quality and ensure the consistent application of evidence-based practices.

5. Classroom Management

• Oversee classroom management to create a supportive and engaging environment for all students.
• Proactively guide teachers on behavior documentation, reporting, and intervention strategies while monitoring overall classroom dynamics.

6. Collaboration and Transdisciplinary Approach

• Facilitate regular meetings with the Early Intervention Team, Allied Health Professionals (AHPs), parents, and external stakeholders (preschools) to coordinate interventions for all students and ensure a transdisciplinary approach.
• Organize center events, outdoor learning opportunities, and lead caregiver training sessions to empower caregivers in supporting home-based learning.

7. Operational Support

• Share responsibilities in sourcing, purchasing, and inventory management of classroom resources, ensuring a safe and conducive learning environment for all.
• Ensure adherence to safety standards, including regular health checks and incident reporting.
• Provide class coverage and additional support to teachers as needed to maintain smooth instruction and classroom dynamics.

8. Student Recordkeeping

• Maintain accurate documentation of student progress, assessments, and interventions, ensuring timely reporting to relevant stakeholders.