Total 345 assistant manager job vacancies in Education / Training category in d23 hillview dairy farm bukit panjang choa chu kang

• Provide direct support to the lead teachers in the conduct of lessons with the children
• Provide care, guidance and create positive learning experiences for the children
• Provide direct support for school events (e.g. Children's Day)
• Sign-on incentives available

Alpha Green Pre School's international curriculum focuses on outdoor learning through play. If you're enthusiastic about fostering a love for the great outdoors and creating a nurturing learning environment, we'd love to hear from you.

Responsibilities:

• Assist the class teachers in class preparation, follow-up and teaching
• Provide general assistance in all classes at the Mandarin Centre
• Attend in course preparation as assigned
• Participate in staff meetings
• Supervise informal activities as directed

Requirements:

• Diploma/Degree/Master in General Education or Early Childhood qualifications
• Minimum 2 years’ relevant experience in similar industry
• Excellent in Chinese (spoken and written)
• Energetic, passionate and good team player
• Enjoy working with children
• Willing to work in a Mandarin Centre located at Rochester Mall

Start Date: 1st March 2025

Interested candidates, please send your detailed resume with expected salary online. Only suitable candidates will be contacted.

Sequential has developed the world’s first at-home skin test, that deeply analyses your skin genetics and skin microbiome. Giving you a complete picture of what you’re born with (genetics) and the environment you are in (the microbiome). https://www.sequentialskin.com/.

We have a great opportunity for a laboratory technician role to join Sequential team.The core functions of this role are to assist in the daily operation of our Molecular Biology team. These functions include performing accurate molecular-based testing, develop and validate molecualr assays.

Key duties include:

• Assist in conducting laboratory experiments related to skin microbiome analysis, including sample collection, DNA extraction, and microbial culture.
• Support senior researchers in performing molecular techniques such as qPCR, DNA sequencing, and microbiome analysis.
• Help in managing and maintaining laboratory equipment and inventory.
• Contribute to data collection, organization, and initial analysis.
• Maintain accurate and detailed laboratory records.
• Provide support in preparing reports, documentation, and presentations.
• Stay updated on basic microbiome and molecular biology techniques.

Qualifications:

• Diploma or Bachelor’s degree in Microbiology, Biotechnology, Molecular Biology, or a related field.
• Familiarity with basic laboratory techniques such as pipetting, sample handling, and microbiology protocols.
• Strong organizational skills and attention to detail.
• Eagerness to learn and work in a team-oriented environment.
• Basic computer skills for data entry and record-keeping.

Experience

• Hands-on experience on performing DNA-based test, e.g. DNA extraction, PCR and qPCR.
• Practical knowledge of basic microbiological handling techniques is highly preferred.

Attributes

• Aseptic techniques to avoid the potential for contamination are a must.
• Good time management skills are a must, in order to keep up with the pace of a busy production environment.
• Proven ability to work efficiently without close supervision.
• Act with integrity at all times and maintain a high standard of work.
• Willing to learn and have a “can-do attitude”.
• Able to take initiative, and work in a fair and responsible way.
• Can communicate clearly and effectively across multiple teams.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Division of Allergy & Immunology at the Department of Paediatrics, Yong Loo Lin School of Medicine, NUS is looking for highly motivated and enthusiastic candidates with a keen interest in clinical translational research in allergic disease to join our team as a Research Assistant. We run large cohort studies, observational and population health studies in Paediatric Allergy and Immunology to better understand childhood allergic diseases such as atopic dermatitis (eczema) and food allergy, with the goal of understanding disease prevalence, natural history and endophenotypes; developing diagnostic tools and therapeutic strategies and advocating for clinical policy changes that would serve to improve health outcomes for children with allergic disorders.

Appointments will be made on an annual contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will be responsible to, and collaborate with, the Principal Investigator and study team members to conduct various research projects in the field of Paediatric Allergy & Immunology to ensure the successful completion of study measures in a timely manner to achieve high quality and impactful deliverables. The RA’s principal role will be to perform clinical research-related procedures such as subject screening and recruitment, subject follow-ups, coordinating the collection and processing of biological samples, data collection, management and processes, data entry, cleaning and analysis.

Main Duties and Responsibilities

The Research Assistant will be involved in conducting research visits and study procedures and will be accountable to the Principal Investigator (PI) and Project Lead.

The RA will :

1. Assist with Subject screening and recruitment, conduct study visits, perform study procedures and collection of data sets and in strict adherence to approved study protocols, ICH Good Clinical Practice and other applicable regulatory bodies;
2. Assist with biological sample processing, storage and analysis;
3. Maintenance and organization of the investigator site files (ISF), preparation and submissions of documents and/or reports (e.g study amendments, study status reports) to the ethics committee;
4. Assist with grant status reports and preparation of study progress slides during regular meetings with Co-Is and Collaborators;

Main Duties and Responsibilities

1. Assist with consolidation and management of data, data cleaning and data analysis;
2. Conduct literature review, manuscript preparation and administrative aspects in relation to grant write up and submissions;
3. Assist with any other duties of a similar nature that are delegated by the PI and/or Project Lead.
4. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures, and uphold a culture of camaraderie and excellence in the team

Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position

Qualifications

The applicant should:

1. Have a Bachelors in Biomedical science, Allied Health or related field
2. Have Basic Laboratory skills e.g pipetting, centrifugation
3. Be able to work independently and in a team, have an investigative nature, attention to detail, self-motivated with initiative
4. Have outstanding organizational skills and interpersonal communication skills
5. Have basic computer literacy in applications such as MS office (Word, Excel) PowerPoint and Adobe
6. Having experience in the conduct of clinical studies, maintenance of ISF, use of REDCap, GraphPad Prism, SPSS and related platform; performing skin prick tests, skin swabs, phlebotomy, data and sample collection will be advantageous

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Alicia Kang, at [email protected].

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.

Only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

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 for Saw Swee Hock School of Public Health

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a full-time, experienced research assistant to model the impact and cost-effectiveness of contact-transmissible infectious diseases. This role offers the opportunity to contribute to cutting-edge research, collaborate with a team of experts, and work on other infectious disease analyses.

Job scope:
• To undertake high-quality research, including contributing to drafting major grant proposals and/or leading in drafting small grant proposals;
• To develop and extend mathematical and economic models of contact-transmissible infectious diseases.
• To support ethics applications;
• To contribute to peer-reviewed publications and other outputs, including as lead author;
• To collaborate with modellers, economists, and epidemiologists at NUS and other institutions.
• Contribute to drafting grant proposals and co-authoring publications.
• To review the latest research on contact-transmissible infectious diseases regularly.
• To disseminate research findings through presentations at international conferences and meetings with key partners (e.g., WHO).
• To contribute to the broader research community through journal and grant reviews.
• To participate in mandatory NUS training and keep abreast of advancements in research methods.

Requirements:
• Bachelor's or Master's degree in Statistics, Biostatistics, Engineering, Economics, Pharmacy, Public Health, or Computer Science.
• Experience with quantitative research, preferably related to infectious disease modelling.
• Strong analytical and data management skills using electronic medical records, clinical trials, and observational data.
• Experience with statistical software (e.g., R) and programming languages (e.g., R, C/C++, Python).
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively within a team.
• Strong organizational skills and time management.

The following knowledge and experience would be advantageous:
• Experience contributing to research grant applications.
• Experience with teaching and assessment (desirable but not essential).
• Experience with epidemiological modelling of infectious diseases (especially sexually transmitted diseases).
• Experience with data analysis using statistical inference techniques.
• Experience with health economic evaluations.
• Experience with parallel and/or high-performance computing.

The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

Interested applicants are invited to apply directly at our NUS career portal and submit the following documents by 15 Feb 2025:
a. Cover letter highlighting career goals and relevant experience
b. Curriculum Vitae, containing details of three named referees

For further enquiries, please contact Dr Kiesha Prem ([email protected]).

Please note that only shortlisted candidates will be contacted.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

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 in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, 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 Research Assistant will be responsible for working closely with the Principal Investigator on one or more research projects. In particular, the research assistant is expected to have solid HCI skills including user study, interviews, usability testing, prototyping, workshop. It is a plus if the RA has hands-on research experience with virtual reality & augmented reality and machine learning system, and/or a strong publication record in top venues.

Qualifications

• A BSc or MSc degree in Computer Science or related field
• Experience in research and strong publication record
• Strong systems development skills
• Prior experience with virtual reality (VR), augmented reality (AR) and machine learning (ML) systems

Only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assistant Professor Andrea Phua’s lab on a range of projects, primarily “ Investigating a transcriptional role of primary cilia in striatal neural computation mediating cognitive flexibility”.

The main responsibilities of the position include:

• Performing confocal fluorescence microscopy experiments
• Conducting computational image processing and analyses
• Establishing and executing technical workflows for brain tissue processing in visualizing spatial protein and gene localization

Qualifications

The candidate should hold a Bachelor’s or Master’s degree in Bioengineering, Biomedical engineering, Biochemical Engineering or a related field.

Skills:

• Strong interest in neuroscience research, with motivation to pursue further academic training in the field
• Excellent time and resource management skills
• Excellent written and interpersonal communication skills
• Ability to work well with interdisciplinary colleagues

Experience:

• Demonstrated track record in confocal fluorescence microscopy and associated super-resolution techniques
• Proficient in image processing techniques (e.g. deconvolution, denoising) to enhance image resolution and quality for visualization and quantification
• Experience in implementing machine learning techniques for automated detection and quantification of events in microscopy images is required
• Familiarity with immunofluorescence and RNA-FISH techniques
• A good foundation in biostatistics, with the ability to apply statistical methods to analyze experimental data will be necessary
• Some experience in microfluidic device fabrication will be a plus

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Associate Professor Zhigang Yao on a project titled “Single Particle Cryo-Electron Microscopy: Reconstruction and Uncertainty Quantification”.

The main responsibilities of the position include:
• Collaborating with the research team to develop and apply neural network methods and manifold fitting theories for CryoEM 3D reconstruction.
• Conducting large-scale numerical experiments.
• Assisting with the preparation of research papers and presentations.

Qualifications

Qualifications / Discipline:
• A Bachelor degree in Mathematics, Statistics, or a related discipline.
• Solid foundation in mathematical concepts.

Skills:
• Proficiency in coding and programming (e.g., Python, MATLAB).
• Knowledge of neural networks and machine learning is advantageous.
• Strong problem-solving and analytical thinking abilities.

Experience:
• Experience with numerical methods or data analysis is preferred.
• Familiarity with manifold fitting theories is a plus.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

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 Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Computing Systems
• Programming Languages & Software Engineering

Job Requirements

• A Master’s degree in Computing; and
• Experience in research of LLM inference and training acceleration systems.
• Experience in paper and publications in LLM.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

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 Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Computer Vision
• Algorithms
• Circuits and Systems
• Programming Languages & Software Engineering

Only shortlisted candidates will be notified.

Qualifications

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

About AIDF

The Asian Institute of Digital Finance (AIDF) is a university-level institute at the National University of Singapore (NUS), jointly founded by the Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be at the forefront of research-driven Fintech innovation in Singapore by acting as an experimental site for developing digital financial technologies, as well as nurturing current and future Fintech researchers and practitioners in Asia.

The Credit Research Initiative (CRI), one of the flagship research initiatives under AIDF, is a non-profit undertaking founded in 2009. Pioneering the "public good" credit risk measure, the initiative is committed to advancing big data analytics and providing directly useful credit intelligence to academic and professional communities. Our clients include international regulatory authorities (such as the IMF and MAS) and multinational financial institutions around the world.

Position Overview

An exciting opportunity exists to join NUS-AIDF as a Research Assistant under different teams involved with big-data analytics. You will participate in the production of our data products and contribute to the ongoing research and development of the flagship NUS-CRI Probability of Default model. This opportunity will challenge successful applicants and is a great learning and development opportunity for those interested in finance and risk management.

Career Benefits:

• Gain a detailed understanding of a cutting-edge quantitative credit risk model.
• Further your knowledge in quantitative modeling and financial analysis.
• Involve yourself in emerging technologies (e.g. cloud/grid computing, GPU computing, FPGA) in the Fintech field.
• Benefit from a world-class research environment at the forefront of credit risk, with a motivated research team and a well-established network spanning across a multitude of industries.
• Opportunities to interact with and learn from financial and tech professionals, industry experts, and thought leaders.

Qualifications

• Fundamental quantitative skills, preferably those obtained during a bachelor’s degree in mathematics, computer science, economics, finance etc.
• Good programming skills (Julia, Python, Matlab, SQL, etc.) or financial fundamentals are ideal
• Good team player with strong sense of responsibility and strong communication skills
• Highly self-motivated
• Willing to learn new technical skills

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Mechanobiology Institute (MBI) at the National University of Singapore (NUS) is a leading multi-disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell, tissue and organ mechanics/dynamics and mechano-signal transduction. The institute operates on a fully integrated open-lab philosophy, with an extensive infrastructure supported by core facilities dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing.

A Research Assistant position is available in the Single-Molecule Biophysics Lab at the Mechanobiology Institute. The Research Assistant will assist in the research of the team by contributing to building and maintaining magnetic tweezers instruments and training other group members to use them. He or she will also share the workload of single-molecule manipulation experiments. Primary responsibilities will include:

• Building, testing, and maintaining magnetic tweezers instrument
• Share workload on single-molecule studies of mechanosensing proteins

Qualifications

1. Minimal Bachelor’s degree, college background in Physics;
2. Capable of building fluorescence microscopes independently;
3. Extensive undergraduate research experience related microscope building and optics.
4. Skillful in Labview and MatLab programming.
5. Skillful in imaging analysis and imaging correlation analysis.
6. Experiences in DNA and protein biochemistry as well as single-molecule manipulation

• Oversee and set the strategic direction for R&D and Sales, ensuring alignment with company goals to drive growth and innovation.
• Develop and implement sales strategies to increase revenue and expand market share.
• Ensure R&D efforts focus on creating products that meet customer needs and market demands.
• Lead and foster a collaborative culture between R&D and sales teams to ensure seamless product development and market delivery.
• Collaborate closely with marketing, production, and operations to ensure timely and efficient product launches.
• Monitor sales performance, set objectives, and analyze results to continuously optimize the sales process.
• Manage key performance indicators (KPIs) for both R&D and Sales teams, ensuring alignment with business objectives.
• Establish strong relationships with customers and external stakeholders to gather feedback and identify new market opportunities.
• Manage R&D and sales budgets, ensuring cost-effective operations while maintaining quality and performance standards.

Requirements:

• Bachelor’s degree in Food Science or a related field.
• A minimum of 10-15 years of experience in R&D and sales within a manufacturing environment.
• Fluency in Japanese to communicate effectively with Japanese clients and headquarters.
• Proven ability to lead high-performing teams with strong interpersonal and communication skills.
• Strong understanding of market trends, customer behavior, and the competitive landscape.
• Expertise in formulating and executing sales and R&D strategies aligned with business goals.
• Solid financial acumen, including budgeting, forecasting, and cost management.
• Excellent problem-solving, decision-making, and strategic thinking skills.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant (MACC) – SINGER Study Operation in the Department of Pharmacology, Yong Loo Lin School of Medicine.

Our academic and research staff have outstanding research publication and grant funding track records in research areas such as cancer pharmacology, neuropharmacology, immunopharmacology, pharmacokinetics, and drug discovery and development. Pharmacology is the anchoring department for the Drug Discovery and Optimisation Platform (DDOP), Memory Aging Cognitive Centre (MACC) at NUHS, and the NUS Neuroscience Phenotyping Core (NPC). The Department also has a strong presence in University-level research institutes including the Cancer Science Institute (CSI), and the Life Sciences Institute (LSI) Neuroscience and Immunology Programs.

More information on the department is available at www.macc.sg

Appointments will be made on a 1 year- contract basis with option to renew.

Purpose of the post

To assist investigators in conducting a large-scale lifestyle intervention study according to study protocol, Singapore Guideline for Good Clinical Practice (SGGCP) and other applicable regulatory and ethical requirements as well as institutional policies.

Main Duties and Responsibilities

Research patient/Subjects Management

1. Gate keeping of the recruitment progress. Assist investigators in the screening and recruitment of potential patients/healthy volunteers as according to trial protocol.
2. Assist investigators in obtaining informed consent
3. Maintain and update screening log & enrolment logs
4. Schedule appointments for patients/subjects
5. Perform delegated procedures as required according to trial/study protocol
6. Ensure patients’/subjects’ compliance to trial medication / intervention
7. Label and dispatch specimens to the relevant laboratory as per condition specified in the trial protocol

Research Patient/Subjects Management

1. Label and store specimens in the condition as specified in the trial protocol
2. Trace laboratory and diagnostic reports (if any)
3. Assist the investigator(s) in adverse events / serious adverse events reporting
4. Perform high quality data collection through data collection forms or tools; Handle data entry and validation of study data
5. Maintain confidentiality on subjects and study data

Clinical Trial Administration

1. Plan, organise and co-ordinate routine trial study activities workflow (i.e setting up recruitment strategies and material & etc)
2. Provide effective updates to the stakeholder on the work done
3. Liaise with the relevant departments for logistic and finances related matters
4. Document and tabulate financial payments received and / or made to support the study
5. Up keeping study materials including procurement and inventory tracking.
6. Maintain Investigator Site File, tracking logs and ensure that all study documents are complete and up to date
7. Attend trial-related initiation, close-up and other trial related meetings

Secondary Responsibilities and Duties (20%)

1. Perform administrative duties and ad-hoc project as assigned by the Director/Manager

Qualifications

Degree in life sciences, nursing, or equivalent; candidate with medicine background will be of advantage.

1. Able to work independently and meticulously
2. Good written and communication skills. Besides English, well-verse in Mandarin is a must as our study subjects are elderlies and a big portion of them can only speak Mandarin. Other common Chinese dialects will be an added advantage.
3. Possess strong interpersonal skills
4. Flexibility to work on weekends (if needed. i.e for outreach event)
5. Team player

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Yap Kwong Hsia at [email protected]

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 3 referees.

We regret that only shortlisted candidates will be notified.

Responsibilities:
Assist the Preschool Teacher in class

Assist in daily needs of children, including showering, meal time and toileting
Support classroom administration
Responsible for the upkeep of teaching resources, arrangement, appearance, decoration, and learning environment of the classroom.

Requirements:
WSQ Advanced Certificate in Early Years (WSQ ACEY)
Fundamentals Certificate in Early Childhood Care and Education
WSQ Higher Certificate in Infant Care (WSQ HCIC)

Culture at Workplace
Creative environment
Fast-paced environment
Join a high performing team
Personal mentoring from the top management
We reward top performers
We reward innovation
Opportunities for enhanced learning

Others:
Dynamic, dedicated and responsible with positive working attitude
Possess good interpersonal and communication skills

If you do not possess any relevant qualification and experience but have the passion and dream to work with young children, you may apply as a teacher trainee. We will assess your on the job performance and selected candidate will be offered a sponsorship to take up relevant courses in Early Childhood Education.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

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 Research Assistant will be responsible to work on problems at the intersection of information theory, statistics, and learning.

Job Requirements

• A Bachelor’s degree with Honours in a relevant area
• Strong background in mathematics
• Research experience in information theory

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

Research Assistant – Pharmacokinetics unit

Job Scope:

· Pharmacokinetics Function – Plasma and tissue sample measurement, ELISA assay development, NCA and PK simulation, flow cytometry analysis, cell-based functional assay, confocal microscopy, qPCR etc.

Requirements:

· Degree in Biomedical Science/Biochemistry/Chemical Biology/Biotechnology/Molecular Biotechnology or related field.

· At least 1-2 years of working experience in a related field is preferred but not necessary. Fresh graduates are welcome to apply.

· Familiar with basic laboratory procedures. Experience in one of the assays listed in the job scope of Pharmacokinetics: Plasma and tissue sample measurement, ELISA assay development, NCA and PK simulation, flow cytometry analysis, cell-based functional assay, confocal microscopy, qPCR etc.

Interested applicants are invited to email their detailed resume, qualifications, availability, current and expected salary to: [email protected]

For more information regarding our Company, you may refer to our website at:
http://chugai-pharmabody.com/

We regret that only short-listed candidates will be notified

我们正在寻找一名中文助教，可以协助幼儿园老师完成儿童护理工作，和担任课后托管老师。

要求：

• 身体健康
• 能够独立工作
• 注重细节
• 良好的沟通能力
• 团队合作精神
• 可靠且守时

工作时间：

• 周一至周五，上午1点至下午7点
• 提供13薪（AWS）
• 14天年假
• 医疗假报销及公司提供的假期旅行

职责：

1. 协助老师教育儿童，确保他们的身心健康，整理教学材料。
2. 始终运用积极的纪律技巧。
3. 维护并建立与儿童和家长的良好关系。
4. 从附近的小学接送孩子。
5. 指导小学生完成日常作业和课外练习册（主要是中文作业监督）。
6. 确保孩子的安全。
7. 其他由校长和管理层委派的临时任务。

如果您符合以上要求并对该职位感兴趣，我们期待您的加入！

We are looking for a Chinese Language Teacher Assistant who can assist the preschool teachers with child care duties and some days as a afterschool care teacher in the afternoon.

Requirements:

• Fit
• Ability to work independently
• Attention to detail
• Good communication skills
• Team Player
• Reliable and punctual

Working Hours:

• 1pm to 7pm Mon - Fri
• 13th month AWS provided
• 14 days of Annual Leave
• MC Claims and Holiday trip from company

Responsibilities:

• include assisting the teachers in the morning with educating children, ensuring their well-being and organizing teaching materials.
• Use positive discipline techniques at all times.
• Maintain and build relationships with children and parents.
• Fetch the children from a nearby primary school.
• Guide primary school children on their daily homework and assessment book (Mainly Chinese work supervision)
• Ensure safety of children.
• Any other ad-hoc duties as delegated by Principal and Management

我们正在寻找一名中文助教，可以在上午协助幼儿园老师完成儿童护理工作，并在下午部分时间担任课后托管老师。

要求：

• 身体健康
• 能够独立工作
• 注重细节
• 良好的沟通能力
• 团队合作精神
• 可靠且守时

工作时间：

• 周一至周五，上午9点至下午7点（提供午餐）
• 提供13薪（AWS）
• 14天年假
• 医疗假报销及公司提供的假期旅行

职责：

1. 协助老师教育儿童，确保他们的身心健康，整理教学材料。
2. 始终运用积极的纪律技巧。
3. 维护并建立与儿童和家长的良好关系。
4. 从附近的小学接送孩子。
5. 指导小学生完成日常作业和课外练习册（主要是中文作业监督）。
6. 确保孩子的安全。
7. 其他由校长和管理层委派的临时任务。

如果您符合以上要求并对该职位感兴趣，我们期待您的加入！

We are looking for a Chinese Language Teacher Assistant who can assist the preschool teachers with child care duties in the morning and some days as a afterschool care teacher in the afternoon.

Requirements:

• Fit
• Ability to work independently
• Attention to detail
• Good communication skills
• Team Player
• Reliable and punctual

Working Hours:

• 9am to 7pm Mon - Fri (Lunch provided)
• 13th month AWS provided
• 14 days of Annual Leave
• MC Claims and Holiday trip from company

Responsibilities:

• include assisting the teachers in the morning with educating children, ensuring their well-being and organizing teaching materials.
• Use positive discipline techniques at all times.
• Maintain and build relationships with children and parents.
• Fetch the children from a nearby primary school.
• Guide primary school children on their daily homework and assessment book (Mainly Chinese work supervision)
• Ensure safety of children.
• Any other ad-hoc duties as delegated by Principal and Management

Responsibilities:

• Ensure well-being of children at the centre especially safety and hygiene
• Prepare and organise teaching activities according to lesson plans
• Create a safe and fun environment for the children to learn and play
• Maintain and liaise closely with parents on children's development
• Conduct observation and assessment on children's learning progress

Requirements:

• Early Childhood related qualifications
• Basic computer skills

Benefits:

• Annual Leaves, Birthday Leave etc.
• Bonuses and Incentives
• Sponsorship for training and teaching qualification

We regret that only shortlisted candidates will be notified.

Overview

At AltSchool, we merge Montessori-inspired principles with therapeutic practices in a dynamic, classroom-like setting. As an Assistant Teacher, you’ll play a pivotal role in supporting our full-day programme, designed to provide consistency for children and a reliable schedule for parents. With a low teacher-to-student ratio of 1:3 or 1:4, we ensure each child receives individualised care, and you’ll gain hands-on experience working closely with children of diverse needs and abilities.

First 90 Days

• Immerse yourself in AltSchool’s approach, blending play-responsive methods, Montessori principles, and evidence-based therapies.
• Get up to speed with our policies, procedures, and digital tools, including our school management system and Individualised Education Plans (IEPs).
• Collaborate with and support lead teachers and therapists to implement tailored educational plans and set up classrooms for effective learning.
• Learn to manage behaviours, implement routines, and support children’s progress.
• Assist in documenting daily notes, progress updates, and class preparations to ensure a seamless educational experience.
• Build rapport with families to establish trust and communication channels.

Typical Expectations

• Work closely with lead teachers to manage classroom activities, behaviours, and daily routines.
• Prepare learning materials and adapt activities to meet individual needs.
• Collaborate with therapists and other professionals to address IEP goals.
• Track and document student progress, sharing meaningful insights with the team.
• Actively contribute ideas and solutions to improve classroom practices and team workflows.

Requirements

• A diploma or degree in Special Education, Early Childhood Education, Psychology, or a related field.
• At least 1 year of experience working with children, preferably in a special needs setting.
• Certifications in DIR Floortime or similar methodologies are a plus.
• Strong adaptability, creativity, and an eagerness to embrace challenges.
• Excellent communication and teamwork skills to thrive in a collaborative, self-managed team environment.
• A proactive and flexible approach to classroom duties

Core competencies (Jobs scorecard snapshot)

• Classroom Support: Confidence in assisting with daily operations and activities.
• Student Engagement: Ability to connect with and support children in a variety of learning contexts.
• Teamwork: Commitment to transdisciplinary collaboration with educators and therapists.
• Adaptability: Flexibility in addressing unique behaviours and challenges.
• Communication: Clear and compassionate communication with colleagues and families.

Why altSchool?

At AltSchool, we operate as a flat, self-managed organisation where every team member contributes ideas and solutions. We provide:

• Opportunities to work closely with therapists and explore innovative teaching practices.
• Regular training and professional development, including DIR Floortime certification pathways.
• A supportive team culture where creativity and initiative are encouraged.
• A chance to work on tailored curricula that adapt to individual strengths and needs.

We’re also expanding our offerings making this an exciting time to join a growing organisation redefining early intervention in Singapore.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The NUS Global Asia Institute (GAI) seeks a full-time Research Assistant/Associate to support faculty and researchers in carrying out projects related to business resilience, economic adaptation, and corporate history. The role focuses on the study of firms navigating adverse environments, as outlined in our forthcoming research project on business resilience across diverse industries and geographies.

We are looking for someone with exceptional writing and research skills, an innovative mindset, and the ability to work independently. The candidate will collaborate closely with world-class faculty and post-doc researchers, contributing to the development of case studies and actionable frameworks. This position offers hands-on experience in academic research, project management, and business writing, providing valuable exposure to historical and contemporary corporate strategies.

Salary benefits will be commensurate with skillset, experience and qualifications.

Qualifications

• At least a Bachelor’s degree from a reputable institution.
• Academic background in the social sciences or business-related fields.
• Strong interest in business writing and case writing.
• Highly organized, meticulous and detail oriented.
• Ability to multi-task and handle multiple projects concurrently.
• Proficient in Microsoft Office.
• Fluency in programming languages (such as R and Stata) will be an advantage.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assistant Professor Andrea Phua’s lab on a range of projects, primarily “Investigating the cognitive functions of neuronal cilia in dorsomedial striatum- mediated goal-directed learning”.

The main responsibilities of the position include:

• Conducting mouse behavior experiments
• Conducting mouse brain stereotaxic surgeries
• Managing mouse breeding colonies
• Performing molecular biology experiments e.g. virus vector production

Qualifications

The candidate should hold a Bachelor’s Degree in Biological Science, Biomedical Science, Biotechnology or Veterinary Technology. Polytechnic diploma holders with relevant skills and experience are also encouraged to apply.

Skills:

• Strong interest in neuroscience research
• Excellent time and resource management skills
• Excellent written and interpersonal communication skills
• Ability to work well with interdisciplinary colleagues

Experience:

• Experience in small animal care, surgery and husbandry
• Understands small rodent behavior
• Good knowledge of molecular biology e.g. genotyping, molecular cloning, virus vector production, mammalian cell culture

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Life Sciences Institute is a research centre dedicated to the understanding of fundamental biological pathways in human health and disease, environmental science and industrial processes.

We promote scientific discovery through creative and multidisciplinary approaches in an environment that is highly collaborative. We also seek to integrate our pioneering basic research with the application and exploitation of new research discoveries. LSI brings together scientists and clinicians from five NUS faculties and supports advanced core facilities and cutting-edge research infrastructure.

We are looking for an individual trained in cell culture, transfection and standard molecular biology assays such as confocal microscopy, flow cytometry, western blot, immunohistochemistry.

The job would include performing:

1. In vitro experiments with cell culture
2. Standard molecular biology assays such as immunostaining, convocation microscopy, flow cytometry, cryosectioning
3. Performing in-vivo experiments with rodents - involves rodent anaesthesia, perfusion, dissection
4. Helping out with purchasing items and laboratory housekeeping

Qualifications

Applicant should:

• Successfully completed Bachelor's Degree in Life Sciences
• Preferably have prior knowledge in tissue cryo-sectioning, preparation of paraffin-embedded tissues and familiar with immunofluorescence staining of animal tissues.
• Be comfortable with animal handling. Prior experience is preferred but not required
• Preferably have prior experience in basic laboratory techniques such as cell culture, histology, and confocal microscopy is advantageous.
• Proficient in English.
• Preferably be proficient in lists of software eg. ImageJ, GraphPad Prism and BioRender.
• Be highly motivated, independent, detail-oriented

Please include your cover letter, CV and names of 3 references (name, institution, email) upon application. Shortlisted candidates will be contacted.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The NUS Global Asia Institute (GAI) seeks a full-time Research Assistant/Associate to support faculty and researchers in carrying out projects related to business resilience, economic adaptation, and corporate history. The role focuses on the study of firms navigating adverse environments, as outlined in our forthcoming research project on business resilience across diverse industries and geographies.

We are looking for someone with exceptional writing and research skills, an innovative mindset, and the ability to work independently. The candidate will collaborate closely with world-class faculty and post-doc researchers, contributing to the development of case studies and actionable frameworks. This position offers hands-on experience in academic research, project management, and business writing, providing valuable exposure to historical and contemporary corporate strategies.

Salary benefits will be commensurate with skillset, experience and qualifications.

Qualifications

• At least a Bachelor’s degree from a reputable institution.
• Academic background in the social sciences or business-related fields.
• Strong interest in business writing and case writing.
• Highly organized, meticulous and detail oriented.
• Ability to multi-task and handle multiple projects concurrently.
• Proficient in Microsoft Office.
• Fluency in programming languages (such as R and Stata) will be an advantage.