Summary

We are seeking an AI/ML Researcher to lead the research and development of large language models (LLMs) solutions. The ideal candidate will have a minimum of 2 years of experience in NLP research and a deep understanding of core LLM components, including LLM modeling, information retrieval, entity-relation extraction, agentic frameworks, and reasoning. The role involves leveraging AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative LLM solutions. Responsibilities include designing and conducting scientific experiments, utilizing NLP techniques and LLM core components to develop novel LLM solutions in cloud or on-premises environments. The candidate will also be expected to collaborate with the team, participate in code reviews, architecture discussions, and create comprehensive documentation. The ideal candidate should possess a strong foundation in statistical analysis, machine learning, deep learning, generative AI, and text representation techniques. Additionally, the candidate should have excellent communication skills, a strong work ethic, and a passion for delivering high-quality, innovative solutions.

Responsibilities:

• Leading in designing the research and experiment methodology, specifically in LLM core components.
• Conduct independent research and report experiment results, research findings to stakeholders, e.g., ...
• Collaborate with engineering team in various data engineering tasks, including data collection, preprocessing, quality control, and augmentation, to curate high-quality datasets essential for model training,
• Utilize analytical techniques to extract meaningful insights from large datasets
• Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.
• Publishing research papers in reputable journals and conferences is valued, it is not a strict requirement for this role.
• Contribute to other program-related projects.
• Collaborate with engineering team to translate researched technology (low TRL) to engineering (high TRL).
• Candidates applying for senior staff positions are expected to mentor and support team members (or cross-team members) in technical advising.

Requirement:

• PhD or Master degree in Computer Science, Computer Engineering, Statistics, Engineering, or related field.
• 2-4 years of experience in research and development, specifically in one or more of the following areas:

1. Natural language processing, specifically in large language model (LLM) core component, e.g., joint entity relation, information retrieval, prompt engineering, reasoning, sentiment analysis, vulnerabilities in LLM, etc....
2. Generative AI, specifically in generating synthetic data.

• Demonstrate an analytical mindset with adept problem-solving skills.
• Keep abreast of the latest advancements in program-related techniques and methodologies,
• Exhibit a strong drive to deliver optimal solutions within tight timelines.
• Strong communication and organizational skills.
• Comprehensive documentation of technical specifications, architectural designs, and best practices.

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.

STARCHAMPS @ Toa Payoh is looking for a passionate part-time Teacher for Primary Math or Science to join the Team! Teaching materials and training will be provided. Hourly rate ($25 - $50/ hr) depending on number of students per class.

Job Description:

• Delivering lessons in accordance with StarChamps's curriculum for students using various teaching methods to ensure a high quality of learning
• Marking students' work and going the extra mile for weaker students
• Classroom administration
• Completing student progress reports for students each term
• Establishing and maintaining good relationships with students and parents
• Providing term updates to parents on students’ performance and progress
• Create and maintain a safe and conducive learning environment for students, safeguarding their safety and health at all times

Job Requirements:

• Minimum 1 yr of teaching experience
• Must have the passion to teach
• Has to be comfortable with use of technology in class
• Classes available on weekdays 330pm~ & weekends 9am~
• Able to start from Jan 2025 and to commit till end Nov 2025

Please submit your application your resume online.

We regret to inform that only selected candidates will be contacted for interview.

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.

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.

STARCHAMPS @ Toa Payoh is looking for a passionate part-time Teacher for Secondary Math or Science (Chemistry or Physics) to join the Team! Teaching materials and training will be provided. Hourly rate ($30 - $60/ hr) depending on number of students per class.

Job Description:

• Delivering lessons in accordance with StarChamps's curriculum for students using various teaching methods to ensure a high quality of learning
• Marking students' work and going the extra mile for weaker students
• Classroom administration
• Completing student progress reports for students each term
• Establishing and maintaining good relationships with students and parents
• Providing term updates to parents on students’ performance and progress
• Create and maintain a safe and conducive learning environment for students, safeguarding their safety and health at all times

Job Requirements:

• Minimum 1 yr of teaching experience
• Must have the passion to teach
• Has to be comfortable with use of technology in class
• Classes available on weekdays 330pm~ & weekends 9am~
• Able to start from Jan 2025 and to commit till end Nov 2025

Please submit your application with your resume online.

We regret to inform that only selected candidates will be contacted for interview.

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.

Deployment:

• Mondays to Thursdays: 7:30am to 1:30pm, inclusive of 30 mins lunch break

• Fridays: 7:30am to 3:30pm, inclusive of 1 hour lunch break

• Service not required on Saturdays, Sundays and gazette public holidays.

Scope of Service:

a) Assist in the daily operations of the assigned science laboratories, science gardens, aquaponics, hydroponics and pond.

b) Responsible for the setup, clean up and general maintenance of the science laboratories and Science Areas.

c) Responsible for the cleanliness of the Recycling Corner.

d) Assist in preparation of laboratory apparatus, equipment and teaching materials for scheduled laboratory activities.

e) Assist in stock taking exercise and maintenance of equipment.

f) Typing of worksheets and notes.

g) Supporting and assisting in departmental events, activities and programmes.

h) Any other duties assigned by the School.

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

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 Assoc Professor Alexandre THIERY on representation learning and high-dimensional time series under a project on particle methods for data-assimilation.

The main responsibilities of the position include:
• Methodology development
• Implementation of the methods
• Publication in journals and conferences
• Presentation of work in conferences

Qualifications

Qualifications / Discipline:

• PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:

• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
• Strong background in statistical modeling and machine learning
• Proven ability to develop and implement complex algorithms
• Excellent written and verbal communication skills
• Capable of conducting independent research and working collaboratively

Experience:

• Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
• Demonstrated experience in developing novel methodologies in representation learning
• Strong record of presenting at international conferences and workshops

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 Associate (Data Scientist / Artificial Intelligence Specialist) in the Department of Biochemistry, Yong Loo Lin School of Medicine. Specifically, utilising data science approaches involving machine learning and artificial intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application, as well as for drug discovery in model organisms. Appointments will be made on a two-year contract basis, in the first instance, with the possibility of extension.

Purpose of the post

The successful candidate should have a strong background in advanced machine learning, artificial intelligence, and bioinformatics techniques with practical applications to biological / -omics data. Specifically, he or she will be responsible for data analysis and for developing advanced computational models, algorithms, and tools to analyse and interpret complex biological datasets derived from multi-omics data. The ideal candidate will combine a strong understanding of advanced statistical, and state-of-the-art artificial intelligence and machine learning methods, as well as expertise in programming languages such as R and/or Python with training in biology, biochemistry or a related discipline.

Main Duties and Responsibilities

The Research Associate will work with other team members to develop and validate biological ageing clock algorithms, and will be accountable to the Principle Investigator (PI). The Research Associate will be able to:

1. Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale biological datasets (e.g. clinical, genomics, transcriptomics, proteomics);
2. Collaborate with experimental biologists to design and analyse experiments, and interpret results;
3. Stay up-to-date on new computational methods and tools, and apply them to ongoing research projects;
4. Communicate research findings through publications, presentations, and reports;
5. Collaborate with cross-functional teams to integrate computational biology approaches with other disciplines (e.g. clinical medicine).

Qualifications

The applicant should:

• Have a Master’s degree or equivalent in Computational Biology, Bioinformatics, Bioengineering and/or Biology;
• Strong programming skills in relevant languages such as R and/or Python;
• Experience with biological data analysis and interpretation;
• Knowledge of biological systems and processes;
• Excellent communication and collaboration skills;
• Strong problem-solving skills and ability to work independently.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Jan Gruber 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.

We regret that only shortlisted candidates will be notified.

The APAC Biological Product Science & Technology (BPS&T) Strategy Leader provides a critical link between the Regional Commercial Units (RCUs) and the Crop Health, Product Science & Technology (CH PS&T) R&D global function. With the direction of the PS&T R&D LT, the APAC BPS&T Strategy Leader coordinates the design and execution of Product Science & Technology R&D activities aligned with research projects spanning discovery through post-launch stages.

The incumbent will define and conduct research across multiple project areas using in-depth knowledge and proactive application of scientific principles, theory and experimental design. In addition, the incumbent will perform research across multiple disciplines while developing and implementing technical solutions through hands-on experimentation.

Core Responsibilities:

· Understands RCU strategies to ensure that CH PS&T is aligned and resourced to deliver. Communication channel from the RCU back to the CH PS&T function to strengthen the functions’ ability to contribute. Effectively works with leaders in both organizations to resolve conflicts.

· Assesses and interprets RCU goals and initiatives into functional strategies and competencies for the broader CH PS&T function and deliver the results required.

· Develops robust communication strategies and implements a range of effective communication methods that inform and influence; effectively utilizes organizational networking to influence decision making.

· Facilitates the evaluation of new product technologies to meet RCU business needs and interfaces with the CH PS&T Global Formulation Portfolio Leaders to communicate these opportunities. Responsible for the effective communication of specific RCU needs to the CP PS&T Global Formulation Portfolio Leaders to ensure needs are incorporated into product development.

· Develop expertise within the APAC PS&T RL team for biologicals product & Integrated solution development.

· Implement capabilities at Singapore Lab to support these RD projects.

· Leads multi-disciplinary teams of scientists to deliver key technical milestones of large projects.

· Participates in the innovation process as it applies to specific projects and contributes to the innovation process through new opportunity identification. Collaborates with other functions in PS&T R&D and across R&D to explore, test and reduce to practice novel delivery concepts.

· Develops value-creating solutions for our customers and stakeholders (manufacturing, regulatory, biology, commercial) in response to presented problems with broad scope and impact.

· Supports and participates in PS&T peer reviews and other inclusive processes to ensure diversity of thoughts and robust participation of functional partners benefits the projects and RCU.

· Coaches others in identifying opportunities and how to understand and articulate value of Corteva Agriscience technologies in different concepts. Coaches and mentors junior level researchers and technologists in the areas of technical and career development.

· Develops strategies for using external contact network; demonstrates influence to external organizations that impact and contribute to business success.

· Partners with regulatory functions to identify and address regulatory constraints and requirements and communicates proactively with PS&T project leaders to ensure these constraints / requirements are incorporated into product design.

· Drives the definition of the molecule support requirements for the RCU, anticipates product support needs and implements steps to use product support to differentiate Corteva Agriscience from the competition. Works closely with the PS&T Product Technology Expertise Center Leader to ensure molecule support needs are adequately resourced.

· Monitors the competition and market trends in the RCU and communicates the information to PS&T project leaders and CH PS&T Global Formulation Portfolio Leaders.

· Maintains university / 3rd party research organizations contacts to keep technologies at state-of-the-art level and bring suitable technologies in house.

· Participates in organizing and chairing industry conferences and committees and influences key outcomes from those organizations.

Qualifications:

Educational Requirements:

· Ph.D. in chemistry, chemical engineering, material science or related field

· Fluency in English is a must for this position. Additional language skills (e.g. Chinese or Japanese) would be an advantage.

Technical / Functional Knowledge:

· Minimum of 10 years expertise in crop protection or biological formulation design and development.

· A solid track record of documentation. Ability to work independently and drive projects to completion. Demonstrated significant involvement in designing studies, carrying out experiments, interpreting data, etc. to meet project milestones.

Organizational Knowledge:

· The incumbent needs to be familiar with the R&D organization and the roles performed by each R&D function. The incumbent needs to be familiar with the Operations organization and Commercial organization for Agriscience.

Innovation:

· An ability to think ‘out of the box’ to develop novel, creative solutions for product and regulatory challenges and to inspire innovation in others is critical, as innovation will be the key to future breakthrough improvements in product development.

Interpersonal Effectiveness:

· Strong interpersonal and leadership skills. Build extensive network outside the CH PS&T R&D function. Excellent verbal and written communication skills. Ability to delivers presentations that distill complex ideas and proactively communicates results and progress to technical teams, supervision, management, and business leadership.

Leadership:

· Ability to successfully partner with team members and stakeholders from multiple backgrounds and cultures.

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 Laboratory Executive will serve as a central contact for Safety and Operations matter within National Initiative on RNA Biology & Its Applications (NIRBA) labs. This role will be responsible for maintaining lab facilities, ensuring the safety and compliance of lab activities, managing critical equipment, and supporting the needs of research teams. This position plays a pivotal role in ensuring both the operational efficiency and safety of NIRBA’s research environment. We are seeking a dedicated individual who can manage complex lab systems while fostering a culture of safety and compliance.

Operations Support

• Oversee designated NIRBA lab operations and facilities, ensuring smooth, uninterrupted operations.
• Serve as the primary contact for all equipment and facility issues; coordinate prompt repairs and maintenance.
• Manage cryostorage facilities, including tanks and freezers, schedule regular freezer defrosting, and maintain Temperature Monitoring System (TMS) contacts.
• Conduct regular upkeep and allocation of lab assets, ensuring facility integrity and functionality.
• Plan, assign, and oversee roster duties for lab personnel, and provide support for procurement activities as needed.

Safety Management

• Act as the Safety and Health Coordinator for designated labs, ensuring compliance with all NUS and legal safety regulations.
• Regularly update and maintain safety documents; monitor and assist with license applications, renewals, and terminations.
• Organize safety committee meetings, safety management reviews, and internal audits to prepare for external inspections.
• Conduct safety training sessions, coordinate safety drills, and promote a culture of safety within the lab community.
• Assist in investigating and documenting safety incidents, implementing corrective actions to prevent future occurrences.

Administrative Support

• Manage the PPMS software system for NIRBA, CSI, and N2CR core facilities, including invoicing and record-keeping.
• Perform additional tasks as assigned by management to support the lab’s operational and safety objectives.

Qualifications

• Bachelor’s degree in Life Sciences, Engineering, or a related field; relevant certifications in lab safety or operations are a plus.
• Proven experience in lab operations, safety oversight, or facilities management, ideally within a research or academic environment.
• Strong organizational skills, with a proactive approach to problem-solving and the ability to handle emergency situations calmly.
• Excellent communication skills to coordinate effectively with researchers, vendors, and external inspectors.

Job description

Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.

Additional job description

The APAC Platforms and Growth team is on a mission to connect users to the magic of YouTube, full-funnel lifecycle programs across owned and operating marketing inventory to drive awareness, acquisition, retention, and engagement channels of core product offerings. The role of the Platforms function is to build the channels, tools and operations, working with the Growth team who drive deep end-to-end acquisition and retention for our most strategically important product areas.

Qualifications

Job responsibilities

• Design and develop regional performance scorecards and reports to monitor key on-platform metrics and trends across priorities business areas.
• Analyze user behavior on our platform by conducting in-depth analysis of user interactions across key areas of the business to identify opportunities for improvement.
• Collaborate in quarterly planning and forecasting, providing data-driven recommendations to prioritize campaigns and optimize finite inventory and impression caps.
• Monitor and analyze campaign performance across initiative teams; providing actionable recommendations to stakeholders to optimize inventory.
• Design and implement new dashboards and BI tooling, empowering marketers to self-serve various cuts of data for informed decision-making. Collaborate with stakeholders to understand data requirements and provide ongoing support and training.

Minimum qualifications

• Bachelor's degree in a research or quantitative field (e.g., Social Sciences, Statistics, Mathematics, Bioinformatics, Economics, etc.) or equivalent practical experience.
• Experience designing, scoping, executing, and delivering research and analysis projects.
• Experience managing research and measurement agencies.
• Experience translating research findings and insights into marketing recommendations.
• Experience with SQL techniques or exposure to data modeling or machine learning concepts, scripting, or data dashboard.

Preferred qualifications

• Experience with qualitative research methods and approaches, designing experiments, analyzing data from experiments and summarizing findings.
• Passion for the web video/YouTube ecosystem and digital culture or experience in eCommerce or subscription business.
• Familiarity with data pipeline tools, data warehousing, or infrastructure processes.

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 Research Assistant position is available immediately in the Li-Ren Kong and Sanjay De Mel research team. The position is funded by a thematic grant under NUS Centre for Cancer Research (N2CR) to investigate the key drivers in multiple myeloma, with the eventual goal to develop a ex vivo screening model for drug development.

Duties & Responsibilities

Research:
- Handling and processing clinical samples for genomics and proteomics analyses, including the establishment of long-term culture models for in-depth molecular characterization and functional studies.
- Organize and document experimental results systematically.
- Analyse data and summarise findings for the research team.

Administrative duties:
- Assist with lab housekeeping and administrative duties as needed.
- To maintain the N2CR Avatar portal, including registering & updating new entries and keeping track of the usage of the portal.
- To assist with administrative or ad hoc duties under the N2CR organoid interest group.

Qualifications

- Bachelor’s or Master’s degree in molecular biology or cancer biology.
- Knowledge in cell culture and basic molecular biology techniques.
- Effective communication and presentation skills, with ability to work independently.
- Prior experience on handling human patient material or organoid culture is preferred.
- Experience in laboratory management is preferred but not essential.
- Ability to communicate fluently in written and spoken English

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

Key Responsibilities

• Planning, preparing and delivering lessons to students following the in-house curriculum
• Monitoring and marking of work assigned to students
• Promoting general holistic development of individual students
• Maintaining good order and discipline amongst students while safeguarding their physical and emotional well-being at all times

Ideal Candidate

• Subject matter expert in Science (a must)
• Has the ability to make young learners smile or laugh at the start and end of each lesson
• Able to create a learning environment which encourages creativity, critical thinking and a love for learning
• NIE-trained teacher
• At least 3 years of teaching experience in the Singapore primary school system
• Strong knowledge and familiarity with the current MOE syllabus
• Loves working with young learners and cares for them
• Committed to developing the academic and emotional fitness of their charges
• Is serious and yet possesses a sense of humour

The Genome Research Informatics and Data Science Platform is looking for a full Stack Software Developer to design, build and operate software systems in support of Institute and hosted programs. Your primary responsibilities include FE and BE Software Development and to ensure compliance with standards and policies (A*STAR, ISO etc)

Requirements

• Bachelor/Master Degree in IT/Computer Science
• Experience in scientific software development and full stack software DevOps
• Possess skills in Javascript for FE and BE, Java and Python
• Knowledge in Containerization and Serverless on Cloud (e.g. AWS Lambda) would be 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.

The Genome Research Informatics and Data Science Platform is looking for a full Stack Software Developer to design, build and operate software systems in support of Institute and hosted programs. Your primary responsibilities include FE and BE Software Development and to ensure compliance with standards and policies (A*STAR, ISO etc)

Requirements

• Bachelor/Master Degree in IT/Computer Science
• Experience in scientific software development and full stack software DevOps
• Possess skills in Javascript for FE and BE, Java and Python
• Knowledge in Containerization and Serverless on Cloud (e.g. AWS Lambda) would be 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

We are looking for a dedicated and bioinformatics-trained Research Assistant/Research Associate to join our team! If you are passionate about contributing to ground-breaking research and have expertise in bioinformatics and related techniques, we want to hear from you.

Duties & Responsibilities

• Perform bioinformatics analyses related to RNA biology.
• Assist in data processing, storage, and management.
• Apply computational tools to analyze large-scale NGS datasets.
• Contribute to the design and implementation of research protocols.
• Collaborate with team members to publish results in scientific journals.

Qualifications

• Bachelor's or Master’s degree in Bioinformatics, Computational Biology, Genetics, or a related field.
• Experience in RNA biology research or (epi)genomic data analysis is highly desirable.
• Proficiency in programming languages (e.g., Python, R) for data analysis.
• Familiarity with (epi)genomic databases and RNA sequencing data processing tools.
• Strong problem-solving skills and the ability to work both independently and collaboratively.

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 Professor XIA Yingcun on Statistical learning of complicated health data under a project on Tensor dimension reduction for multimodal data and its application in EEG analysis.

Qualifications

• Qualifications / Discipline: PhD in Statistics and Data Science.

• Skills: The successful candidate needs to have experience in large-scale data analysis, advanced probability and statistical techniques, and strong computer programming skills.

• Experience: 2 years of research experience in machine learning methods.

Responsibilities

. Report to Academic Head (Higher Education)

· Prepare and develop teaching and learning materials according to module descriptor

· Develop lesson plan and create assessment brief

· Complete marking of all assessment papers and to moderate academic results

· Conduct lesson to be delivered face-to-face

· Adopt the use of Information Technology tools to enhance learning by students

· Regular feedback to Academic Head regarding students’ academic performance and behaviour

Requirements:

· Possess Master’s or Doctorate Degrees in IT, Computing, Data Science and AI

· With at least 5 years of relevant working or teaching experience in data science field

· Possess strong interpersonal and communications skills, passionate in sharing knowledge and interacting with students

· Strong sense of professionalism and commitment in completing assigned tasks efficiently and in a timely manner

Location: Jurong West

Requirements:

• Diploma in Science or its equivalent
• At least 1 year of experience supporting school operations.
• Preferred experience as a lab assistant in science laboratory school environment.
• Experience in creating digital resources such as presentations and videos according to Science Experiential Learning Experiences using powerpoint.

Scope of works:

• Preparation of resources / materials for Science laboratory activities and enrichment programme.
• Label and keep records of teachers’ desk copies, reference books, lab apparatus and chemicals
• Pack and organise the resources in the Science Rooms.
• Ensure lab equipment, materials and specimens are in good working conditions.
• Conduct stock-take at least twice a year and Maintain a stock book.
• Ensure safety of pupils in the Science rooms. Report any incident to Science HOD.

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are joining forces with universities, public agencies, and industry for the advancement of future technologies.

Our large-scale Food Science program, ‘Proteins4Singapore,’ funded by Singapore’s National Research Foundation (NRF), is a collaborative effort between the Technical University Munich (TUM), Nanyang Technological University (NTU), the Singapore Institute of Technology (SIT), and A*STAR’s Singapore Institute of Food and Biotechnology Innovation (SIFBI). As part of the Proteins4Singapore team, you will work alongside renowned scientists in plant and food technology, food chemistry, materials science, and business sustainability. Through interdisciplinary collaboration, the program aims to develop state-of-the-art methods and techniques to ensure a sustainable protein supply for highly urbanized environments.

Please visit www.tum-create.edu.sg for more information about TUMCREATE.

Job Title

Research Fellow in Soft Materials Science (Biophysical Characterisation of Food Textures)

Job Summary

We are seeking a highly motivated and skilled Research Fellow to join our dynamic research team focusing on the biophysical characterisation of food textures and their molecular building blocks. As part of the Proteins4Singapore project, the Research Fellow will contribute to innovative methodologies for nano- and micro- scale structural characterization of complex soft matter. This position plays a critical role in advancing sustainable protein solutions for urban environments through interdisciplinary collaboration, drawing expertise from physical chemistry, food science, and soft matter physics. This is a fixed term contract until March 2027.

Key Responsibilities

• Conduct experimental studies on protein hydration, emulsification, gelation, and phase separation in food systems.
• Perform experimental work related to nano- and micro- structuring, utilizing advanced biophysical characterization techniques such as X-ray, neutron, and light scattering, as well as other spectroscopic and imaging methods.
• Develop and apply new methods for studying nanoscale wetting, protein hydrophobicity, and viscoelastic properties of complex food textures using acoustic and scanning probe techniques.
• Elucidate on protein-protein interactions and self-assembly processes, aiming to control structure formation at micro- and nanoscales in food matrices.
• Collaborate with cross-disciplinary teams to integrate multiscale structural analysis with food processing techniques, including 3D printing and extrusion, thereby contributing to the project’s long-term goals of advancing sustainable food technologies and developing innovative methodologies for food texture analysis
• Engage in collaborative research, data analysis, and interpretation, while contributing to the writing of research papers, reports, and presentations for dissemination at conferences and in peer-reviewed journals.
• Participate in lab meetings, seminars, and collaborative research discussions to align with project goals and objectives.
• Supervise junior group members including undergraduate and doctoral students.

Key Competencies

• Experience in studying soft matter and colloidal systems, including colloidal interactions and structure formation.
• Strong understanding of molecular self-assembly and phase behaviour in soft matter systems.
• Expertise in biophysical characterization techniques, such as X-ray, neutron, and light scattering, as well as atomic force, confocal laser scanning, or electron microscopy for structural resolution of soft matter systems
• Strong analytical skills, with experience in using statistical tools for experimental design and data optimisation.
• Excellent communication skills, both written and verbal, in particular communication of complex scientific concepts to both specialists and non-specialists in a multidisciplinary research environment.
• Proven ability to conduct independent research and collaborate in multidisciplinary teams including working effectively within deadlines.
• Self-motivated and adaptable, with strong problem-solving skills and the ability to thrive in a dynamic, fast-paced research environment.

Qualification Requirements

• Ph.D. in Chemistry, Chemical Engineering, Materials Science, Food Science or cognate discipline from a reputable university.
• At least 1 year of experience in experimental soft matter research.
• Excellent written and verbal communication skills in English.

What we offer

• A collaborative and inclusive world class research environment.
• Access to state-of-the-art laboratory facilities and equipment.
• Opportunities for professional development and career growth.
• Engagement with a leading research team committed to advancing an emerging topic of global relevance.

Applications

Please send your complete application, including cover letter, CV, university transcripts, and degree certificates, [email protected].

Only shortlisted candidates will be contacted.

We are looking forward to your application!

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 Academy for Healthy Longevity, a world-leading education and research group in geroscience and geromedicine, is seeking passionate and innovative Research Assistants (Exercise Science) to join our dynamic team. This exciting role offers a unique opportunity to contribute to groundbreaking research in the field of healthy longevity medicine, working at the forefront of clinical trials for gerotherapeutic interventions aimed at measuring and slowing biological age.

As part of the Healthy Longevity Translational Research Programme (HLTRP) within the NUS Yong Loo Lin School of Medicine, you will be at the heart of our mission to add healthy years to life by delaying aging, prolonging disease-free life, and enhancing quality of life. This position presents an unparalleled chance to shape the future of healthcare and make a lasting impact on global health outcomes.

Purpose of the Role

In the Research Assistant (Exercise Science) role at the NUS Academy for Healthy Longevity, you will play a crucial role in advancing our understanding of healthy aging through clinical trials and research initiatives. Your expertise will be instrumental in supporting groundbreaking studies aimed at measuring and slowing biological age, with a focus on gerotherapeutic interventions.

This dynamic position offers an exciting blend of clinical research and exercise science application. You will have the opportunity to work within multidisciplinary teams, contributing to the development, implementation, and evaluation of innovative protocols and interventions designed to improve health outcomes in middle-aged and older adults.

Your role will involve conducting exercise testing, prescribing personalized exercise regimens, and collecting vital data for our ongoing research projects. As we push the boundaries of geroscience, your analytical skills and exercise science knowledge will be key in interpreting results and contributing to the advancement of healthy longevity research.

This position presents a unique chance to be at the forefront of translating research into practice, potentially shaping future healthcare strategies and interventions. Join us in our mission to add quality years to life, working alongside world-renowned experts and utilizing state-of-the-art equipment in our pursuit of transformative discoveries in the field of geroscience and geromedicine.

Main Duties and Responsibilities

The Research Assistant (exercise science) is expected to:

• Work with the clinical and research teams to manage the day-to-day activities of the various services including their development, delivery, and evaluation.
• Perform routine clinical assessments according to Standard Operating Procedures in clinical practice and ongoing research studies.
• Interpret participant tests and procedures, including physiological measurements, such as VO2max, anthropometric measurements, as well as prescribe aerobic and resistance exercises based on current clinical guidelines.
• Perform recruitment of clinical service participants for research studies, and scheduling for study visits.
• Support the research and clinical teams with other activities when required.
• Maintain clinical documentation, including Standard Operating Procedures, data records, equipment maintenance.

Main Duties and Responsibilities

• Assess and validate new assessment methods before implementing into clinical practice and research.
• Train new staff and students on Standard Operating Procedures.
• Mentor and identify training needs for junior staff.
• Comply with clinical inventory management procedures.
• Comply with good clinical practice.
• Coordinate with team to help ensure that clinical research and related activities are performed in accordance with national regulations, university/institute and sponsoring agency’s policies and procedures.

Qualifications

The applicant should have:

• Bachelor’s degree in exercise science and/or allied health with a strong interest in implementing exercise testing and prescription for adults.
• Minimum 2-3 years of relevant clinical experience is preferred.
• Understanding of or experience with human clinical studies and or observational longitudinal studies
• Experience in routine clinical assessments in research studies is advantageous.
• Excellent organisational skills and the ability to undertake a range of tasks concurrently.
• High level of verbal and written communication skills with the ability to convey complex information in easily understood format for a variety of audiences.
• Ability to speak a second local language would be an advantage as you may need to interact with patients who only speak their mother tongue.
• Ability to work independently and as part of a multidisciplinary team linking different fields (e.g. exercise sciences, geroscience, nutrition).

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).