Job Description & Requirements

We are looking for experienced Math/ Science teacher/tutor to teach Secondary subjects

Who are we looking for?

• Someone with a Bachelor degree
• Has experienced in teaching the subject.
• At least 2 Year(s) of working experience in the related field. Someone who has experience working in a tuition centre will be an added advantage
• Enthusiastic, patient and passionate in helping students to excel
• Dedicated and a team player

The role:

• Assist to prepare some materials and curriculum
• Conduct lessons
• Evaluate and monitor students’ progress
• Assess each child’s educational and development needs

Other Information:

• Location: near Clementi MRT
• This can be a part time (3 or 4 day week) or a full time (5 day week), with 1 weekend.
• Working hours: weekday 1 pm to 9pm; weekend 8.45am to 6pm
• Salary commensurate with qualifications and experience
• Annual leave & medical

Interested applicants, please send your resume to us by detailing your qualification and experience, and expected salary.

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 Prof HUANG DEJIAN on Prolamin passed scaffold under a project on Sustainable Production of Cultivated Meat: Media, Scaffolds and Bioprocess.

The main responsibilities of the position include:

1. Coordinate activity of progress of sub-projects of this grant funded by government (Singapore Food Agency).
2. Lead development of plant proteins as new edible biomaterials for scaffold fabrication and coating materials to improve cyto-affinities.
3. Write progress reports of the grant.
4. Write invention disclosures.
5. Write manuscripts for publication.
6. Write grant proposals related to the plant protein work.
7. Supervise junior students.

Qualifications

Qualifications / Discipline:

• PhD degree majoring in Food Science and Technology or closely related fields.

Skills:

• Skilled at extraction of plant proteins and natural products, Food analysis methods such as HPLC, SDS-PAGE, proximate analysis, cell culture skills, imaging, molecular biology experimental skills. Good communication skills in writing and spoken English. Excellent skills in scientific writing including creative graphic preparation.

Experience:

• 0 -3 years of working experience.

Job description

gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.

Qualifications

Job responsibilities

• Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with deep knowledge of Machine Learning (ML) and statistics.
• Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem and own the development of modeling framework.
• Engage stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution.
• Work with customers and internal teams to translate data and model results into tactical and strategic insights that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes.
• Collaborate with Product/Engineering teams to increase and optimize capabilities of our Applied Data Science team, employing methods which create opportunities for scale, proactively helping to drive innovation.

Minimum qualifications

• Bachelor's degree, or equivalent practical experience.
• 1 year of experience in a Data Science field.

Preferred qualifications

• Master's degree in Statistics, Mathematics, Bioinformatics, Economics, another quantitative field, or equivalent practical experience.
• Experience with data extraction and modeling tools (SQL, Python).
• Experience delivering insights from AI/ML and statistical solutions to clients, including problem scoping/definition, modeling and interpretation.
• Experience with statistical software (such as Python, R or MATLAB) and database languages (such as SQL) with understanding of Artificial Intelligence/Machine Learning (AI/ML).
• Understanding of the statistical algorithms typically used in Marketing Analytics.

Contract period:

• 1 Feb 2025 to 31 Dec 2025

Deployment:

• Mon to Thurs: 7.30am to 5.00 pm
• Fri; 7.30 am to 4.00 pm
• Service not required on Sat, Sun and PH's

Scope of Works:

• Assist in preparing materials and equipment needed by teachers for all curricular and co-curricular activities.
• Assist teachers in distribution and collection of worksheets and notes, materials, and equipment to ensure smooth running of activity.
• Assist in preparation of laboratory apparatus, equipment, and teaching materials for scheduled laboratory activities.
• Assist in classroom management in the science lab (e.g group work activities)
• Responsible for the setup, clean up and general maintenance of the science laboratories and Science areas.
• Assist in maintaining the Science lab equipment and resources (stock-taking)
• Assist teachers in ensuring students’ safety in the labs and during fieldtrips.

Other Duties:

• Assist in school duties when necessary.
• Assist and support in the running of school activities involving pupils.
• Assist in providing frontline counter duties (e.g., answering phone calls, contacting parents of pupils who are unwell and need to be taken home
• Perform any other duties as assigned by Principal/ Vice-Principal/ Key Personnel

Fun Learners’ School Tampines

Company Overview

Fun Learners’ School is an education institution that redefines education. It trains learners with focus on learning skills and brings fun to learning. Such an organisation requires staff of a different mindset. Whether it is in teaching, curriculum, facilitating, operations or marketing, there is a common purpose binding these departments together. That is to be the best in whatever we do. This is so as to underpin the success of the organisation with achievements of every staff and learner.

Education Executive (Math & Science)

(Tampines area, opposite Tampines Hub and near Tampines MRT)

Expertise & Experience You Stand To Gain:

1. Industry-leading strategies in curriculum and pedagogy

2. Online and hybrid class teaching

3. Overseas markets

4. Teacher training

5. Marketing operations, e.g. social media

6. Online education platform development and management

Requirements:

1. Passion in education of children and teenagers

2. Recognised degree

3. Competent in math and science (primary or secondary)

4. Teaching experience will be advantageous

5. Potential for managerial roles

Benefits:

* Medical claim

* Workplace insurance

* Professional training opportunity

* Attractive career progression and options for ownership

* 7-day Annual Leave (1-day addition with each year)

* 14-day Festive Leave (Chinese New Year and Christmas)

* Additional off days depending on performance and workload

* Increment and Bonus

Working Days:

Wed-Fri 11.30am-9pm

Sat 8.30am – 6pm

Sun 8.30am – 6pm

Monday & Tuesday Off

Starting salary:

SGD 3500 to 4500

Role and Responsibilities:

Prepare resources, and chemical solutions, assemble apparatus, and deliver equipment to labs as required.

Assist teachers and students with technical advice and resources during lessons.

Inventory management of all science equipment, apparatus, and consumables.

Source and recommend equipment to replace damaged ones.

Be responsible for clearing, storing, and maintaining equipment and fume hood units.

Clear, tidy up, and put away glassware and equipment in labs daily.

Fix broken equipment or seek assistance for repair/replacement.

Support other departments in administrative jobs during school holidays.

Requirements:

Qualification- A degree or diploma in a relevant scientific field (e.g., Chemistry, Biology, Physics) or equivalent practical experience.

Experience:- Previous experience working as a laboratory technician in a high school or educational setting is preferred.

Experience with high school-level science experiments, equipment, and safety protocols.Skills and Abilities:- Strong understanding of laboratory safety practices and procedures.

Ability to troubleshoot, repair, and maintain science laboratory equipment.

Excellent organizational skills, attention to detail, and multitasking skills.

Ability to work independently and as part of a team.

Good communication skills to interact with staff, students, and parents as needed.

Proficiency in English (both written and spoken) is required, as this is the language of instruction.

Contract Period:

• 2 Jan 2025 to 31 Dec 2025 (12 Months) + 1 Year Optional renewal by school.

Deployment:

• Mondays to Fridays: 8.30am to 2:00pm, inclusive of 0.5hr lunch break
• Service not required on Saturdays, Sundays and gazetted public holidays

Scope of Works:

1. Assist teachers in the preparation of teaching and learning resources and specimens needed.
2. Assist in the preparation of resources for science practical examinations.
3. Maintain all live specimens and laboratory equipment.
4. Conduct periodic stock-taking on laboratory supplies in science laboratory and advise Science HOD / LH on stock level
5. Conduct daily cleaning of the Life Science and Physical Science laboratories.

Primary Responsibility

•Defining requirements for exercise and health-tech projects.

•Assist in Project Management.

•Developing exercises for the elderly consumers.

•Developing health-tech product for elderly consumers.

•Perform data analytics for efficacy of intervention methods.

Secondary Responsibility

•Assist in designing and collaboration with sports science researchers.

•Assist in designing and collaboration with health-tech researchers.

Requirement

•Sports Science degree of diploma.

•Familiar with running projects and exercise programs. Preferably for elderly subjects.

•Must have interest in a total system development.

•Problem solving skillset is a must.

Benefits

•Work in a dynamic pace and product rich environment.

•Able to work with and experience best-of-breed software design and implement experts.

•Abundance of deep-tech learning experience.

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

Job Purpose
The mission of the Cancer Science Institute (National University of Singapore) is to better understand the causes of human cancer across Asia and thereby improve its detection, treatment, and prevention. Our outstanding researchers and exceptional facilities create an energetic environment for ground-breaking science and world-class training.

A Research Assistant position is available immediately in the Yvonne Tay team which studies RNA biology in cancers. You may refer to https://csi.nus.edu.sg/researcher/yvonne-tay/ for more information.

Interested applicants should include the following documents in the job application
1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. 3 referees including their name, contact information (email) and relationship to applicant

Duties & Responsibilities
Research:

• Carry out assigned experiments under initial guidance and then independently
• Organize, preserve, and present the results of the experiments in a logical manner
• Record all assigned experiments and results properly and systematically
• Analyse data and design subsequent experimental workflow
• Assist in supervising, training and guiding attachment/undergraduate students as required

Administrative duties:

• Assist with lab housekeeping and administrative duties as needed
• Ensure that standard operating procedures and safety regulations are followed

Qualifications

• Bachelor’s or Master’s degree in molecular biology, cancer biology, bioinformatics, computational biology, computer science, or related field
• Interest in pursuing a research career in studying RNA biology in cancer
• To be a team player with the ability to work collaboratively with other members of the lab.
• Experience in running projects independently is preferred.
• Experience in laboratory management is preferred but not essential.
• Ability to communicate fluently in written and spoken English
• Knowledge in cell culture and basic molecular biology techniques (western blotting/ RT-PCR etc)
• Proficiency/ expertise in data analysis (R or equivalent)

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 incumbent will provide administrative support to the Undergraduate Studies Section, Dean's Office, Faculty of Science. Duties and responsibilities include, but are not limited to the following -

1) Faculty Co-ordinator for timetabling

• Keep abreast of Science Faculty Curriculum Committee (SFCC)/Board of Undergraduate Studies (BUS)/University Committee on Educational Policy (UCEP)/Senate approved proposals to facilitate planning and scheduling of classes and examinations.
• Coordinate with departments for planning of following academic year's timetable in the Class and Examination Timetabling System (CMIS).
• Update class and examinations timetable changes as and when required.
• Work with departments to verify accuracy of data and resolve any issues for the purpose of Student Feedback Exercise.

2) Pre-examination preparation and during examination support

• Plan and coordinate examination activities for each Academic Year according to the timelines and deadlines stipulated by Registrar's Office.
• Coordinate system updates for examinations related information and ensure data is appropriately entered.
• Act as liaison between Registrar's Office and departments to ensure that all necessary information are disseminated and shared with all parties involved.
• See to the examinations logistical requirements as well as arrangements for students with special needs.

3) Post-examination activities

• Coordinate and work closely with departments to complete the necessary checks and comply with the examinations processing schedule stipulated by Registrar's Office.
• Perform the duties of Faculty's Board of Examiners Secretariat and ensure that decisions made are updated accurately and quickly in Edurec and followed through.
• Plan, conduct and prepare report for examinations audit.

4) Undergraduate Studies Section duties

• To be rostered for section duties such as taking notes of regular section meetings, replying to email enquiries from students, and counter duties.

5) Others

• Provide assistance at University/Faculty level events such as Open House, Freshmen Orientation Briefing, and Commencement.
• Any other duties as assigned by the Vice Dean.

Qualifications/Requirements/Other Info

• Degree holder with positive learning attitude.
• Experience in timetabling and scheduling will be advantageous.
• Proficient in Microsoft applications.
• Ability to work under pressure and multi-task in a fast-paced environment with multiple timelines and demands.
• Ability to exercise tact and discretion in handling sensitive and confidential information.
• Possess effective oral and written communication skills.
• Mature, independent, adaptive and meticulous.
• A team player with the ability to interact well with all levels of stakeholders.

- Remuneration is based on a 12-month salary structure, with annual variable bonus which is subject to incumbent’s performance and the University/School’s prevailing remuneration policies.

- The incumbent will be emplaced at an appropriate appointment grade based on his/her individual merits.

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

(JR:18151)
The position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://www.csi.nus.edu.sg/web/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 3 referees including their name, contact information (email) and relationship to applicant

Qualifications

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

• Firm understanding of the principles of clonal evolution
• Experience analyzing DNA sequencing data
• Strong Python and/or R programming skills
• Proficient with standard statistical analyses
• Strong publication record
• Excellent written and spoken English

PREFERENCES

• Experience using Amazon Web Services
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

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 position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://www.csi.nus.edu.sg/web/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 3 referees including their name, contact information (email) and relationship to applicant

Duties And Responsibilities

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

• Firm understanding of the principles of clonal evolution
• Experience analyzing DNA sequencing data
• Strong Python and/or R programming skills
• Proficient with standard statistical analyses
• Strong publication record
• Excellent written and spoken English

PREFERENCES

• Experience using Amazon Web Services
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

Location: Hougang

Working Hrs: 40hrs/weekly

Responsibilities:

1. Manage day-to-day lab operations

2. Assist students and teachers during science lessons

3. Prepare equipment and materials for hands-on activities

4. Maintain lab equipment, materials, and specimens

5. Keep inventory and breakage records

6. Ensure lab safety and tidiness

7. Care for creatures in the lab (butterflies, chicks)

8. Support CCAs (E2K, Green Club)

9. Distribute teaching resources to science teachers

10. Handle chemicals safely

11. Provide first aid/CPR/AED (preferably certified

Qualifications:

• A minimum of 3 years of company experience in handling manpower services, working in an educational institution providing Science lab assistance.

• An equivalent combination of education and work with a minimum GCE ‘O’ level academic qualification.

• Able to work independently AND has work experience of at least 3 years with Primary school children, age 8- 12 as a Science lab assistance

Skills:

1. Laboratory management

2. Technical assistance

3. Organization and record-keeping

4. Safety protocols

5. Communication and teamwork

6. Basic first aid/CPR/AED knowledge

Location: Bukit Panjang

Working Hrs: 41hrs/weekly

Responsibilities:

• Provide customer service at the reception counter to support staff, parents, students, and visitors, including answering phone calls and addressing inquiries.

• Maintaining and updating of data records, filing of documents, inventories etc.

• Preparation of resources for the teaching of Science and Math Department (where applicable) and General Office.

• Assist in any general and ad-hoc duties as assigned by the Admin Manager and School Leaders.

Qualifications:

• At least 3 GCE ‘O’ level passes including English

• Good communication and inter-personal skills

• Good team player

• Proficient in Microsoft Office Application

• At least have 2 years of experience working in a school

environment

Key Responsibilities:

1. Preparation and Setup:Prepare and organize laboratory materials, equipment, and samples.
   Set up laboratory apparatus for experiments and tests.
   Ensure all required chemicals, tools, and equipment are ready and functioning.
   
2. Assisting in Experiments:Assist in practical lessons in carrying out experiments and tests.
   Take measurements and record data accurately during research projects.
   Operate laboratory equipment under supervision, following safety protocols.
   
3. Sample Management:Collect, label, and store samples according to standard procedures.
   Ensure that samples are correctly handled and maintained for future analysis.
   
4. Equipment Maintenance:Clean, maintain, and troubleshoot laboratory equipment.
   Ensure that all instruments are calibrated and in good working condition.
   Assist in the setup and disassembly of experiments and equipment.
   
5. Data Management:Record, compile, and process data accurately.
   Prepare reports or assist in preparing research summaries for review.
   Enter experimental data into databases or spreadsheets.
   
6. Safety and Compliance:Follow laboratory safety protocols and adhere to safety standards to ensure a safe working environment.
   Handle hazardous materials and chemicals safely, with proper disposal practices.
   Assist in the maintenance of lab documentation and compliance with regulations.
   
7. Inventory and Supply Management:Monitor inventory levels of laboratory supplies, chemicals, and equipment.
   Order new supplies when needed and manage stock to avoid shortages.
   

Skills and Qualifications:

• Educational Requirements: Minimum high school graduate in science stream. or equivalent is typically required; however, a postsecondary degree or certification in a scientific field (e.g., biology, chemistry, or laboratory technology) may be preferred. Retired personnal are welcome too.
• Technical Skills: Familiarity with laboratory instruments and techniques is important. Basic computer skills for data entry and analysis are also necessary.
• Attention to Detail: Accurate data recording and adherence to protocols are essential.
• Communication: Ability to communicate in English.

Location: Jurong West

Working Hrs: 44hrs/weekly

Responsibilities:

a) Provide support to teachers in teaching and learning

b) Assist in the preparation of apparatus, equipment and reagents for laboratory lessons

c) Maintain general cleanliness of equipment and workplace

d) Simple administrative and office work as and when request

e) Any other duties assigned by Science HOD or School

Qualifications:

• Candidate to preferably possess at least a GCE “O” Level qualification

• Good interpersonal and communication skills

• Ability to multitask, work both independently and as a team

• Prefer candidates to have at least 3 years of working experience as a Science Laboratory Assistant

• Preferably first aid trained

• Preferably competent in MS Office

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 job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Bachelor Degree in Engineering or relevant field
• Experiences of (small-scale) simulations of air pollutant dispersion, meteorology modelling, data processing
• Demonstrating as a fast learner of conducting literature study and literature summary
• Experiences of handling big data via R, Python, Matlab, etc.
• Experience with UNIX-based operating systems and bash script or similar
• Strong interests in applying machine learning models and applications to atmospheric research
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

Location: Geylang East

Working Hrs: 27.5hrs/weekly

Responsibilities:

1. Prepare Science teaching & learning resources based on:

a. Workbook requirements

b. Teaching needs e.g. pull out plant model display when the P3s are learning about plants to be showcased in the lab

2. Maintain cleanliness of the two labs and the equipment

3. Arrange for feeding of the fish in the aquaponics system (both indoor and outdoor), pond at eco-garden

4. Stock-take of equipment at least twice a year

5. Assist in the inventory taking when the external audit asset team comes by

6. Assist teachers in the lab during lab sessions if required

7. Assist teachers in innovative learning lab for Science-related activities whenever possible including setting up of projector to play video in canteen during recess time

8. Assist teachers in preparation of activities for Environmental and Science club

9. Look into the display and loaning of Science books to the students on an ad-hoc basis, either in lab or in the canteen

10. Help to assist in recess activities during Science department events such as integrated learning week

11. Help to assist during Science practical test days, will be required to work longer on some days in Term 2 to prepare and to assist during the days. (Up till 2:30pm, 2 – 3 days prior and after the

practical test days)

Qualifications:

1. Min GCE ‘O’ or ‘A’ Level

2. Have experience working in similar work environment (prior

working experience in a school will be an added 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

We are looking for an experienced and proactive Genomics and Data Analytics Core (GeDaC) Facility Manager to lead and expand our team at Cancer Science Institute of Singapore. The ideal candidate will bring together a scientific background, business development expertise, and operational leadership skills to drive growth, build partnerships, and ensure the financial sustainability of GeDaC. This position will be key to advancing our facility’s presence in the genomics and data analytics fields, particularly in supporting cancer research initiatives. This is a unique opportunity to shape the future of bioinformatics research through a cutting-edge core facility. If you are a passionate and motivated individual with a strong business acumen, we encourage you to apply.

Strategic Leadership and Operational Oversight:

• Lead the day-to-day operations of the GeDaC facility, ensuring high-quality service delivery and operational efficiency.
• Develop and implement strategic initiatives to enhance GeDaC's impact within the Cancer Science Institute and across Singapore’s research community.
• Identify and address operational bottlenecks and areas for improvement, optimizing workflow to increase productivity and client satisfaction.

Marketing and Business Development:

• Create and execute a comprehensive marketing plan to promote GeDaC’s genomics and data analytics services, targeting both academic and industry partners.
• Establish and maintain relationships with key stakeholders, including principal investigators, research labs, healthcare professionals, and corporate partners.
• Conduct market research to stay abreast of advancements and emerging trends in genomics and bioinformatics, using insights to inform service offerings and identify new revenue opportunities.
• Represent GeDaC at conferences, workshops, and networking events, showcasing the facility’s capabilities and building a strong client network.

Financial Management and Revenue Growth:

• Develop and manage the facility’s budget, monitoring revenue and expenditure to ensure financial sustainability.
• Lead contract negotiations with clients and vendors, setting pricing structures that reflect market value and service costs.
• Track service utilization and generate periodic performance reports, using data to drive business strategies and make informed decisions about resource allocation.
• Oversee billing, invoicing, and collection processes, ensuring timely and accurate payments.

Product Development and Client Relations:

• Collaborate with scientific and technical teams to develop new services and products that meet the evolving needs of the genomics and data analytics research community.
• Engage with clients to understand their research objectives, providing tailored solutions and ensuring high levels of satisfaction.
• Act as the primary point of contact for client inquiries, addressing concerns promptly and fostering long-term partnerships.

Qualifications

• At least Master's Degree in Genomics, Bioinformatics, Data Science, or a related field, with a strong foundation in cancer genomics or biomedical research.
• Proven experience in business development, marketing, or management roles within a scientific or technical services environment, preferably in core facilities or research institutes.
• Demonstrated ability to create and execute business strategies that drive growth and financial sustainability.
• Strong leadership skills with a proactive and collaborative management style.
• Deep understanding of genomics, bioinformatics, and data analytics, with the ability to translate scientific capabilities into client-focused solutions.
• Proficiency in budgeting, forecasting, and revenue tracking, with a track record of managing financial performance.
• Excellent written and verbal communication skills for engaging diverse audiences, including researchers, clinicians, and corporate clients.
• Forward-thinking with the ability to foresee industry shifts and adjust strategies accordingly.
• Committed to providing exceptional service and fostering long-term client relationships.
• Ability to manage multiple tasks effectively while maintaining a high level of attention to detail.

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

A Lab Technician position is available in Professor Chng Wee Joo’s research group at the Cancer Science Institute of Singapore. This role will involve processing various types of patient samples, managing the sample inventory, and supporting animal work experiments. The successful candidate will play an essential role in the lab’s ongoing research in haematological malignancies, focusing on understanding the pathogenesis of cancers like multiple myeloma, acute myeloid leukemia, and NK/T-cell lymphoma.

Key Responsibilities:

• Sample Processing:Process a range of patient samples, including bone marrow, peripheral blood, and buccal swabs, with accuracy and adherence to standard operating procedures.
  Prepare samples for downstream analyses such as genomics and proteomics studies to aid research into cancer biomarkers and therapeutic targets.
  
• Inventory Management:Organize and maintain a detailed inventory of patient samples, ensuring proper labeling, storage, and tracking.
  Document and record all sample processing details accurately to contribute to research data integrity.
  
• Animal Work Support:Assist in handling laboratory mice, including breeding, monitoring, and performing procedures such as blood collection and organ harvesting.
  Support researchers in setting up animal experiments that model cancer progression and response to treatments.
  
• Lab Maintenance:Maintain a clean, safe, and organized laboratory environment, following all safety protocols and biosafety guidelines.
  Ensure proper maintenance and calibration of lab equipment to support sample processing and animal work.
  
• Team Collaboration:Work closely with researchers and other lab members, communicating effectively to ensure efficient sample flow and workflow.
  Contribute to team discussions by providing feedback on sample processing methods and laboratory procedures.

Qualifications

• Minimum Diploma in Life Sciences, Biomedical Sciences, or a related field.
• Previous experience in a laboratory setting is preferred, especially with sample processing and/or animal handling.
• Familiarity with laboratory procedures, including sample processing and inventory management.
• Knowledge of laboratory safety protocols and biosafety practices.
• Strong attention to detail and organizational skills to handle high volumes of samples accurately.
• Effective communication skills and a collaborative team approach.

Desirable Attributes:

• Experience working with cancer research samples or models.
• Interest in cancer biology and translational research.
• Ability to adapt in a dynamic research environment and support multiple projects.

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

• To perform safety-related work such as

(a) Conduct safety training / briefing for personnel who needs to work in the cleanroom;

(b) Carry out periodic emergency response drill to familiarize personnel with standard evacuation and response procedure;

(c) Carry out periodic inspection of safety facility such as eyewash & shower, chemical spill absorbent, fire extinguisher, etc.

(d) To monitor users’ activities on CCTV for any irregularities.

• To respond to an emergency call during and after office hour. The emergencies can be a building fire alarm, a fab evacuation alarm which can be a hazardous material spill or a leak or a medical emergency situation.
• To assess the situation and discuss a coordinated response plan with both Safety Manager and Lab Manager based on Emergency Response Plan (ERP)
• To be on standby / on-site for ad-hoc / extended hours lab operations request;
• To learn and have some understand of the chemistry for each individual tools and new projects to ensure Industrial Hygiene for the lab and users are met.
• To follow up, understand changes and make assessment on the safety aspect for tool continuous improvement process (CIP)
• To liaise with supplier for maintenance / procurement of ERT equipment / supplies;
• To perform risk assessments for the research activities related to E5 Cleanroom process and equipment.
• Support the development and implementation of Safety & Health Management System for AMAT-NUS Corp Lab conducting materials research.
• To support on Safety audits
• Any other duties as assigned.

Qualifications

• Diploma/ Degree knowledge and demonstrated experience in the laboratory safety management.
• Awareness of local safety regulations and some experience in developing and implementing Workplace Safety & Health Management System and Programmes.
• Understanding of the scientific and safety-related issues of materials research protocols and ability to review the risk assessments of such protocols.
• Knowledge and understanding of material safety principles, policies, and procedures.
• Effective communication (verbal and technical writing) skills, excellent customer service skills with attention to detail.
• Well verse with Microsoft office and good documentation control. IT application knowledge will be an advantage.

Responsibilities Of The Role

• Directly contributes to the design and development of scaled Data Science algorithms.
• Applies technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building to deliver accurate and impactful algorithms.
• Quantifies improvement in business areas resulting from u algorithms. Works with Data and Software Engineering teams to productionize algorithms
• Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.

Job Qualifications

• At Least Bachelor Degree in Analytics, Data Science or related field.
• 1+ year of experience in Python, Cloud and ML Alorithms
• Hands on Machine Learning project experience by Python
• Good understanding about Data Analytics and Business Intelligence
• Exposure in model validation, back-testing, and other model risk management activities.
• Proven Foundation across full spectrum of ML Techniques (Traditional Methods, Deep Learning, Bayesian, etc), Statistics, Data Modeling, and Optimization.
• Strong written and verbal communication skills to influence others to act
• Ability to balance multiple priorities
• Good social skills, self-motivated, dynamic and can-do attitude
• Strong enthusiasm and curiosity about the intersection of business and technology

About Us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

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 Summary

The Haematological Malignancy Genomics Laboratory, led by Professor Chng Wee Joo, focuses on using advanced genomics and proteomics methods to study the clinical and biological complexities of haematological malignancies such as multiple myeloma (MM), acute myeloid leukemia (AML), and NK/T-cell lymphoma (NKTL). This translational research program aims to discover diagnostic markers, identify novel therapeutic targets, and uncover molecular mechanisms of disease, advancing our understanding of cancer pathogenesis and potential treatments.

We are seeking a Research Assistant to support ongoing research in murine models. This role involves assisting in studies on mouse models to validate discoveries in haematological malignancies, with a focus on preclinical validation of novel therapeutic targets, therapeutic resistance mechanisms, and biomarker identification. This is a hands-on laboratory position requiring proficiency in animal handling, genotyping, and familiarity with experimental protocols involving mouse models.

Job Description

• Animal Model Handling:
  Conduct routine handling and care of laboratory mice, ensuring adherence to ethical and welfare standards.
  Support experimental setups in mouse models to study disease pathogenesis, progression, and therapeutic responses in haematologic malignancies.
  Perform injections, tissue sampling, and necropsies as required for experiments.
• Data Collection and Analysis:
  Assist in collecting and processing biological samples (e.g., blood, tissue) from mouse models for downstream molecular analyses.
  Maintain accurate records of experiments, data collection, and sample inventory in a clinical database for integrated bioinformatics analysis.
• Genomic and Proteomic Support:
  Assist in sample preparation for genomics and proteomics studies, including DNA/RNA extraction and preparation for sequencing and protein assays.
  Support preclinical validation of molecular markers and therapeutic targets identified from genomic studies.
• Laboratory Support and Maintenance:
  Ensure lab equipment related to mouse work is well-maintained and calibrated.
  Follow all safety protocols and maintain a clean, organized work environment.
  Assist in the maintenance of a comprehensive tissue bank, ensuring high-quality source material is available for research.
• Collaboration and Reporting:
  Collaborate closely with senior researchers, assisting in the analysis of data from mouse models.
  Report findings and observations to the research team and contribute to discussions on the impact of preclinical findings on clinical applications.

Requirements

• Bachelor’s degree in Biomedical Sciences, Molecular Biology, or a related field.
• Prior experience in laboratory animal handling, preferably with mouse models.
• Experience in haematological research or genomics/proteomics is an advantage.
• Knowledge of standard laboratory procedures for working with mouse models.
• Strong organizational skills, attention to detail, and ability to maintain accurate data records.
• Familiarity with molecular biology techniques such as DNA/RNA extraction, PCR, and Western blotting.
• Effective communication skills and ability to work collaboratively within a research team.

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 Coastal Protection and Flood Resilience Institute (CFI) Singapore at the National University of Singapore is hiring a Research Fellow (RF). The successful candidate will conduct research and technology scan on current and future trends in coastal protection and flood management solutions, including increasing use of AI in computational fluid dynamics, extreme event prediction and condition monitoring. He/she will also conduct research in some of the abovementioned topics and write research proposals to secure grants for CFI.

Job Requirements

• Possess a recognised PhD degree in civil engineering, mechanical engineering, computer science, or a related discipline
• R&D experience in coastal/offshore/structural engineering and/or AI and machine learning.
• Strong writing and communication skills.
• Ability to work independently and in a team .
• Open to fixed-term contract.

Job Description

- Adopt innovative teaching methods and create an engaging learning experience for children/youths

- Create worksheets and lesson material

- Prepare and deliver lessons that facilitate active learning experiences
- Perform required classroom administration responsibilities

- Maintain a professional and proactive relationship with caseworkers

Job Requirements

- Bachelor's degree or equivalent

- Up-to-date with the latest MOE syllabus

- At least 2-3 years of relevant teaching experience

- Passion for teaching and nurturing students

- Able to travel

- Pleasant and friendly personality

- Lesson timings would be anytime between 2pm – 9pm on weekdays during school term, depending on the availability of clients

Rate:

Hourly rate of $30 to $75