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).