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

We are as reputable financial institution dedicated to providing money exchange and money transfer services to our customers. As part if our commitment to excellence, we are seeking dedicated individuals to join our team.

As a HR Assistant, you report directly to the management. Your main duties includes:

• Assist with day to day operations of the HR functions and duties
• Apply/renew/cancellation of work permit
• Staff Scheduling
• Compile and update employee records (hard and soft copies)
• Process documentation and prepare reports relating to personnel activities (staffing, recruitment, training, grievances, performance evaluations etc)
• Deal with employee requests regarding human resources issues, rules, and regulations
• Assist in payroll preparation by providing relevant data (absences, bonus, leaves, etc)
• Communicate with public services when necessary

Requirements:

O levels and above ( Fresh School Leavers welcome)

Roles & Responsibilities

Scope :

All finance and accounting matters relating to our business.

Accountabilities/Responsibilities :

-Maintaining accurate and up-to-date records of financial transactions, including accounts payable and receivable, general ledger entries, and bank reconciliations.

-To prepare invoices for reporting.

-Preparing all Final Disbursement Accounts (FDA) accurately and within deadlines.

-Prepare and arrange 'Cash To Master (CTM)' with vendors.

-Process payment to suppliers and staff reimbursement.

-Prepare monthly AP journals, postings and schedules.

-Any other adhoc tasks as assigned by your immediate supervisor

Skills and Qualifications :

Proficient in Microsoft Excel and D365

Numerical Skills and attention to details

Diploma in Accountancy or its equivalent

Job Description

• Managing inventory and warehouse equipment.
• Overseeing the production of goods to meet timelines and standards.
• Coordinating processes with all departments and point persons involved.
• Creating reports and analyses for reporting to management.
• Optimising transportation and delivery processes.
• Managing conflicts such as equipment malfunction, bottlenecks, and client complaints.

Job Description:

RECRUITMENT

· Recruitment and selection. Drafting of the job advertisement, post on various platform, follow up to identify suitable candidates, conduct interviews, get Management approval.

· Handles all the foreign work pass application, renewals and cancellation for employees/candidates including medical examination arrangement.

HANDLE PRE-BOARDING, ON-BOARDING AND EXIT-CLEARANCE PROCESS

TRAINING

· Monitor and make registration for the employee who need to attend Basic/Refresher Food Safety Level 1 course.

· Identifying the training needs of the organization. Searching and conduct training course for employees for specific jobs.

MANPOWER PLANNING

· Monitor foreign worker quota closely.

· Computation the number of quota in advance.

· Analysis and find solution to maintain/increase number of quota.

INVENTORY

· Manage inventory of staff uniforms, shoes, medicine, facemask, etc.

PAYROLL

· Prepare, check and process payroll for submission to Finance Department ensuring that salary is paid timely and accurately.

STAFF WELFARE

· Carry out employee reimbursement. Check benefits claims against entitlements.

· Birthday welfare arrangement.

HR POLICY, SALARY & BENEFIT

· Study competitors of the organisation. Compare organisation's compensation and benefits programmes against industry practices.

· Review and work with Management on HR policies and procedures, employee rewards & benefits.

STAFF PERFORMANCE AND DISCIPLINARY MANAGEMENT

· Monitor closely on staff performance during employment. Support line managers in dealing with grievances and disciplinary issues.

PWM (PROGRESSIVE WAGE MODEL)

· To ensure the company pay the employee at least the minimum monthly wage for their respective levels to ensure compliance with the PWM.

MOM SURVEY

· Participate in MOM surveys and ad-hoc surveys.

GOVERNMENT GRANT / CLAIM

· Prepare applications for various relevant grants/claim offered by the government agencies. Eg. Childcare leave, foreign worker levy waives, SG United programmes, etc.

INSURANCES

· Handle insurance process including report and claim with related party (MOM & Insurance agency) when it is necessary.

· Renew Work Injury Compensation Insurance and Foreign Worker Medical Insurance timely. Review and compare quotations from different insurance agency upon renewal.

ADMINISTRATION WORK

· Process and prepare all types of employment-related letters including employment contracts, confirmation letters, termination letters, promotion letter, increment letters, warning letter, etc.

· Administer and update employees’ personnel database.

· Organized and maintain filling system (hard & soft copy)

· Any other task assigned by Management.

Job Requirement:

· Degree/Diploma in any disciplines and/or Professional Diploma in Human Resources Management/At-least 2 – 3 years of HR experience.

· Good working knowledge of Singapore Employment Act and local HR practices

· Good knowledge of Government legislations (MOM, CPF and IRAS)

· Effective interpersonal and communication skills and ability to work with all levels

· Organized, independent and able to seek solutions

· Strong people skills

· Ability to organize and multi task in a fast pace environment

· Possess integrity, “Can Do” attitude with passion and a global mindset

· Attentive to details and reliable

• Responsible to oversee the day-to-day planning, management, operations and safety of facilities management works and service with adequate administrative staff.
• Responsible to carry out systems' heath and obsolescence monitoring, obsolescence management, crisis management, fire safety management, investigation and carry out rooy cause analysis of the incident, not limited to accident, power outage, and systems failure.
• Shall be full-time on-site

FULL-TIMER REQUIRED FOR PROTECTION OFFICER

8 HOURS PER SHIFT

TO ESCORTS VIP

WITH SECURITY PASS AND BEST TO HAVE EXECUTIVES PROTECTION CERT

WE PAY $4K GROSS SALARY

MUST BE FIT AND PRESENTABLE

MOST WELCOME FOR THE EXPERIENCE OFFICER

INTERESTED PARTIES PLEASE CALL CHAN @91821268

Responsibilities:

• Support the crewing operations in performing the schedules and planning of crew changes and follow up with relevant parties.
• Assist in travel arrangement of the mobilization and de-mobilization of the crewing staff, including Air Tickets, Visa application, hotel accommodation, etc.
• Ensure candidates are equipped with the relevant requirements (medical, competence certificate / qualification docuemnts).
• Assist on all crew issues.
• Perform data entry, recording, printing and filing duties.
• Maintain a proper and user-friendly filing and document control system for recording and tracking of all documents for the department.

Requirements:

• Minimum Diploma holder in any discipline.
• Experience: at least 1 year of relevant experience in a similar role preferably in the Maritime industry.
• Pleasant personalities mature, with good written and verbal communication and interpersonal skills.
• Proactive, take initiative and well organized.
• Able to work fast under pressure.
• Proficient with Microsoft Office Suite.
• Ability to multi-task and work independently

• Responsible to oversee the day-to-day planning, management, operations and safety of facilities management works and service with adequate administrative staff.
• Responsible to carry out systems' heath and obsolescence monitoring, obsolescence management, crisis management, fire safety management, investigation and carry out rooy cause analysis of the incident, not limited to accident, power outage, and systems failure.
• Shall be full-time on-site

Job Description & Requirements

Responsibilities

• Assist in overtime and payroll calculation
• Answer employee queries regarding leave, salary and overtime
• Update and maintain leave records in Info-Tech system
• Update and maintain employee records in Info-Tech system
• Coordinate document submission with site staff
• Assist in recruitment
• Assist in all foreign worker matters
• Assist in recommending, sourcing and booking of training courses for staff development
• Provide advice to The Management regarding employment legislation and HR practices
• Any other ad-hoc work

Requirements

• Knowledge and understanding of MOM employment law
• Higher Nitec with 2 years work experience, ideally in a construction related field
• Knowledge of Info-Tech software
• Able to communicate effectively with local and foreign employees of all levels
• Willing to learn and grow
• Able to work in a team
• Good work ethics
• Positive character and attitude

Other information

• Working hours: Mon - Fri, 8.30am to 6pm
• Working location: Tampines West

• Responsible to oversee the day-to-day planning, management, operations and safety of facilities management works and service with adequate administrative staff.
• Responsible to carry out systems' heath and obsolescence monitoring, obsolescence management, crisis management, fire safety management, investigation and carry out rooy cause analysis of the incident, not limited to accident, power outage, and systems failure.
• Shall be full-time on-site
• Contract period Jan’25 – Jun’25

Job Description

Job Scope & Responbilities :

* Handle for full set of account

* Financial month end closing

* Coordinate and liaise with external parties like auditors, tax agents and tax authorities

* Responsible for all duties related to Human Resources,

* Monthly payroll preparation, CPF submission

* Responsible of IRAS AIS,IR8A, Corporate tax, Income tax etc.

* MOM WPOL/EPOL/ matter

* Handling other admin duties

* Perform any other ad hoc duties when required.

Job Requirements :

* Candidate must possess at least diploma or equivalent.

* Language: Bilingual in English and Chinese Mandarin (read, write and speak) as the incumbent needs to liaise with Mandarin-speaking associates in the course of work.

* At least 1 Year(s) of working experience in the related field is required for this position.

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

JOB DESCRIPTION

Medical Officers are conditionally or fully registered doctors

Major Duties and Responsibilities:

1. Management of all patients under their care, including but not limited to:

· Active involvement in daily ward rounds

· Ordering and reviewing of investigations and treatment

· Performing and/or assisting in procedures and interventions

· Communicating with patients, relatives, and colleagues

· Obtaining informed consent for major procedures

2. Assisting and supervising House Officers in their team

3. Reviewing and/or clerking all new cases in their assigned wards/teams and performing emergency treatment

4. Updating and completing case records of all patients under their care

5. Assist in the running of Specialist Outpatient Clinics

6. Counselling patients who wish to be discharged against medical advice

7. Writing medical reports and signing death certificates

8. Participating in department training activities and meetings

JOB REQUIREMENTS

· Graduation from one of the medical schools recognized by the Singapore Medical Council

· Completion of housemanship

· High standards of professionalism and ethical conduct

· Good communication skills

Overview and Objective of the Position

The Marketing Officer will work collaboratively with the Marketing and Admissions team in the execution and evaluation of marketing strategies that contribute to growth of domestic student enrolments at Curtin Singapore.

A key focus of this role will be in executing recruitment and conversion activities to drive increased domestic student enrolments. This will be achieved by supporting partnership management, development and execution of sales and marketing strategy, and tactical execution of lead conversion strategies.

Key Result Areas:

• Participate in student recruitment activities including, but not limited to, training, events, education fairs, handling enquiries, campus tours and student conversion
• Liaise with applicants, education agents onshore and offshore and Navitas Source Country Offices in regard to applications and enrolments such as:

1. Implement interaction through various communication channels
2. Manage or respond to enquiries or applications with relevant stakeholders
3. Provide information packs to stakeholders
4. Identify and allocate applicant enquiries to relevant stakeholders
5. Facilitate resolution of issues raised by relevant stakeholders

• Work closely with the Admissions team regarding student applications and acceptance process
• Contribute to student recruitment targets and provide input on forecasts against key initiatives and enrolment targets
• Provide input into the development of annual marketing plans, recruitment targets and budget
• Provide support on data collection for market and competitor research
• Provide support in building and nurturing relationships with agents, schools/ institutions, industry, and governments
• Ensure compliance with internal and external regulatory framework
• Domestic travel may be required

Qualifications and Selection Criteria Essential

• Relevant qualifications and demonstrated work experience within the education industry or related area
• Demonstrated commitment to the provision of a high quality client-focused service and develop sales and recruitment strategies that deliver against agreed student targets
• Demonstrated ability to manage a high volume of tasks with competing priorities in an organized manner and within strict deadlines
• High level interpersonal, communication, negotiation and presentation skills including Business level written and oral capability in English and Mandarin
• Ability to demonstrate innovative thinking and proactive work habits including an eye for detail
• Proven ability to work autonomously and collaborate as a team player
• Flexible attitude to work including a willingness to work outside of normal office hours in support of recruitment activities
• High level computer skills including an understanding of and experience in using various student management systems

Desirable

• Success in a sales role within the Higher Education sector, within Singapore or internationally
• Knowledge of admissions policies and procedures pertaining to administration, Singapore Immigration & Checkpoints Authority policies for Student’s Pass
• Experience of working effectively within a matrix structure to ensure competing demands are met
• Familiarity with lead automation systems, Marketo, Salesforce, or Power BI

• Responsible to oversee the day-to-day planning, management, operations and safety of facilities management works and service with adequate administrative staff.
• Responsible to carry out systems' heath and obsolescence monitoring, obsolescence management, crisis management, fire safety management, investigation and carry out rooy cause analysis of the incident, not limited to accident, power outage, and systems failure.
• Shall be full-time on-site
• Contract period Jan’25 – Jun’25

- Supervising and coordinating account staff and cashiers, assigning duties, and preparing work schedules

- Managing a company's accounts payable and receivable, and working directly with customers to manage their accounts

- Providing support during audits and tax preparation

- Keeping accounting records up to date and accurate, and tracking expenses

- obtained accounting certification

Research Fellow (Postdoctoral) positions are available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Demonstrated ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings. Basic knowledge of cell biology or pathology is beneficial.
• Ability to present and articulate research findings at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated scientists or recent Ph.D. graduates eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• At least 5 years of relevant experience
• Strong team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Quick learner with the ability to adapt to new technologies and methodologies.
• Robust understanding and knowledge of scientific and engineering principles.
• Excellent scientific and technical writing skills, coupled with outstanding communication abilities.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.
• Previous experience in AI and image analysis projects, whether in an industrial or academic setting, is advantageous.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Research Fellow (Postdoctoral) positions are available in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI and machine learning solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Demonstrated ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings. Basic knowledge of cell biology or pathology is beneficial.
• Ability to present and articulate research findings at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated scientists or recent Ph.D. graduates eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Strong team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Quick learner with the ability to adapt to new technologies and methodologies.
• Robust understanding and knowledge of scientific and engineering principles.
• Excellent scientific and technical writing skills, coupled with outstanding communication abilities.
• Proven experience or strong interest in working within cross-disciplinary teams, including collaborations with hospitals and clinical researchers.
• Previous experience in AI and image analysis projects, whether in an industrial or academic setting, is advantageous.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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

In 2021 the Singapore Hybrid-Integrated Next-Generation micro-Electronics (SHINE) Center was established.

One of the projects in SHINE focuses on developing the technology and demonstrating Radio Frequency (RF) and microwave applications on flexible substrates.

As part of this project, we have a position for a research engineer with proven knowledge and experience in researching, designing, and testing of microwave circuits and subsystems.

Qualifications

• Possess a Bachelor or Master degree in Electrical Engineering
• Experience in the simulation and design of microwave circuits and subsystems.
• Experience with tools such as ADS and HFSS.
• Experience with measurement of microwave circuits using VNAs.
• Able to work independently and in a team.
• Open to fixed-term contract.

1. Job Summary:

We are looking for a dynamic and innovative assistant R&D Chef to assist & lead recipe development, ensure quality control, and oversee product approval processes. Reporting to the Production Manager, the assistant R&D Chef will collaborate closely with production, sales, and cross-functional teams to create high-quality, market-ready products. The ideal candidate will take full accountability for QA/QC compliance, product sign-off, and customer satisfaction.

2. Key Responsibilities:

a. Recipe Development and Product Innovation:

• Create and test innovative recipes tailored to market trends and customer demands.

• Ensure recipes are scalable for production efficiency while maintaining exceptional quality.

b. Quality Assurance and Control (QA/QC):

• Establish and implement robust QA/QC protocols.

• Conduct product trials to ensure consistency, compliance, and safety standards.

• Resolve quality issues during development and production.

c. Product Approval and Accountability:

• Oversee product approval, ensuring all items meet company standards for taste, presentation, and compliance.

• Sign off on finalized recipes and processes, assuming full accountability for product quality.

d. Collaboration with the Sales Team:

• Partner with the sales team to understand customer feedback and market needs.

• Assist in presenting products to clients, including demonstrations and tastings.

• Support customization for specific customer requests.

e. Production Alignment and Management:

• Collaborate with the Production Manager to align recipes with operational capabilities.

• Train production staff on new recipes and processes.

f. Market and Trend Analysis:

• Research food trends, customer preferences, and competitor products to inform recipe development.

• Innovate and propose new product concepts for market differentiation.

g. Documentation and Reporting:

• Maintain thorough records of recipes, ingredient specifications, and QA/QC protocols.

• Provide updates to the Production Manager and sales team on project progress and approvals.

3. Qualifications:

• Minimum of 2 years of culinary experience, focusing on R&D, QA/QC, or product development.

• Expertise in scaling recipes for production.

• Knowledge of food safety regulations and quality standards.

• Strong collaboration skills with production and sales teams.

• Excellent problem-solving and organizational skills.

4. Education:

• Degree/Diploma in Culinary Arts, Food Science, or a related field.

• Certifications in quality management or culinary innovation are a plus.

5. Key Competencies:

• Accountability in managing product quality, approvals, and customer satisfaction.

• Creative and innovative thinking with a strong focus on operational alignment.

• Ability to manage multiple projects within tight deadlines.

6. Benefits:

• Competitive salary and performance incentives.

• Opportunities for career growth and skill development.

• Collaborative and innovative work environment.

7. Work Schedule:

• 5-day work week on an alternative-day schedule.

• 10-hour shifts, including a 1-hour break.

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

Principal Investigator: Associate Professor Catherine ONG, Department of Medicine

The Infectious Diseases Research Laboratory at the Department of Medicine, Yong Loo Lin School of Medicine is looking for highly motivated and well-qualified candidates for the post of Research Fellow to work on Murine models of Tuberculosis. The lab works on translational research i.e. spanning cellular, murine and human TB research. This position provides an excellent opportunity for persons looking to further experience in translational research including robust interactions with clinicians.

https://medicine.nus.edu.sg/medi/catonglab/index.html

https://discovery.nus.edu.sg/5460-catherine-w-m-ong

Main Duties and Responsibilities

The Research Fellow will design and execute experiments in M. tuberculosis infection of mice, processing of samples, and associated readouts including flow cytometry, immunohistochemistry, molecular biology including immunofluorescence. State-of-the art techniques include spatial transcriptomics and bioinformatics can be learnt and applied. Spatial transcriptomic work is also expected from human tissues. The person will lead in the day-to day running of experiments in the Biosafety Level 2 (BSL2) and BSL3 setting, and is expected to work independently, in coordination with other junior and senior team members in the laboratory and clinicians. Supervision of junior lab members such as undergraduates and postgraduate PhD students is expected. Work with live M. tuberculosis is expected in a BSL3 setting. BSL3 experience would be advantageous but not a requirement.

Qualifications

Applicants should have:

• A PhD degree in life science and skilled in handling murine models
• A minimum of 2 years of BSL2 experience with skills in molecular biology and immunohistochemistry/immunofluorescence
• Ability to help mentor and train junior staff members and students
• A proven track record of outstanding written, oral presentation and communication skills
• Excellent skills in project management
• Ability to work on grant proposals including writing, meeting with collaborators, and reviewing proposal opportunities

All interested applicants should send their job application interest, full CV with the cover letter and the reference letters of three referees with the referees’ contact details to the NUS Career Portal.

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 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.

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

Duties & Responsibilities
1.Recruit, train, assess and supervise personnel performing recruitment and interviewing to ensure quality of the participant data.
2. Manage the recruitment listings and study visit scheduling to ensure response rates and operating capacity are maximised, and project timelines are being met
3. Design, test, implement and review new workflows or surveys
4. Recontact participants to verify and rectify collected information
5. Ensure participant information in the operations database is updated and accurate and the completed consent and data forms are accounted for and securely stored
6. Record and track the submission, rework or rejection of consent forms and questionnaires and generate reports on data quality
7. Investigate participant complaints and incidents and implement appropriate actions for continual improvement of processes and service
8. Supervise and guide callers, interviewers and recruiters on professional conduct and responsiveness to ensure participant satisfaction and willingness to contribute for the long-term
9. Compute monthly payments to the recruiters
10. Manage the cash and vouchers for the reimbursement to participants of various projects

Qualifications

• A degree holder, preferably from a biomedical or life science discipline
• Minimum 3 years of working experience and 1 year of supervisory experience
• Clear and good communication skills
• Careful and meticulous with data management
• Fluent in English and at least 1 other local language (for examples Malay or Chinese) to be able to understand and communicate with research participants who are only able to speak Malay or Chinese
• Proficient in Microsoft applications