Total 2,164 Science / R&D / Research job vacancies

Key Highlights:

• Office Hours: Monday - Friday
• Nearest MRT: Orchard Station
• Contribute to impactful environmental research by managing surveys, analyzing data, and offering insights that inform the development of policies along initiatives for a sustainable future.

Key Responsibilities:

• Manage and oversee the execution of surveys and data collection processes.
• Ensure the accuracy and completeness of data through regular checks and validation procedures.
• Analyze gathered data to generate actionable insights and provide recommendations.
• Conduct environmental scanning or literature reviews to support relevant research studies.

Key Requirements:

• A background or work experience in Statistics, Economics, Mathematics, Behavioural Science, or related fields.
• Proficiency in programming languages such as R, Python, or similar tools.
• Strong interest in data analysis, data visualization, and deriving insights.
• Good writing and communication skills, with the ability to present data-driven findings effectively.
• A genuine interest in environmental issues and sustainability.
• Strong ability to manage multiple priorities and stakeholders effectively.

Only shortlisted candidates are notified. Thank you.

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BGC Group Pte Ltd (Outsourcing Department)

EA 05C3053

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) at NTU Singapore, in collaboration with Wageningen University & Research (WUR), is part of the Singapore Indoor Farming System (SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance. The programme contributes to Singapore’s ambition of achieving 20 per cent local production of its fibre (vegetables, mushrooms, etc.) by 2035. The candidate will work in a multinational team at the forefront of Singapore’s agricultural innovation and food security.

We seek an innovative Research Associate to develop an automated imaging pipeline for autonomous crop growth systems in vertical farming. The successful candidate will design RGB-D camera setups and algorithms to extract biologically relevant crop traits from image and climate data, supporting mechanistic models for optimised light use and energy-efficient growth. Working closely with a modelling specialist, the candidate will help build a demonstrator system for autonomous, resource-efficient cultivation of leafy vegetables such as choy sum and kai lan.

Key Responsibilities:

• Set up cameras and climate sensors to monitor crop growth
• Develop processing pipelines for image analysis (e.g. segmentation) and trait quantification
• Design experiments to calibrate and validate growth estimation algorithms under dynamic climate conditions
• Support plant scientists in the project and collect ground truth data for traits such as biomass, area, and leaf area index

Job Requirements:

• A Master’s degree in plant science, biosystems engineering, or closely related fields
• Strong command of written and communication skills
• Experience in image processing, working with plants, and using AI is desirable
• Proven ability to collaborate effectively in a team environment, while also demonstrating strong independence, initiative, and work ethic

We seek a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret that only shortlisted candidates will be notified.

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) at NTU Singapore, in collaboration with Wageningen University & Research (WUR), is part of the Singapore Indoor Farming System (SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance. The programme contributes to Singapore’s ambition of achieving 20 per cent local production of its fibre (vegetables, mushrooms, etc.) by 2035. The candidate will work in a multinational team at the forefront of Singapore’s agricultural innovation and food security.

We seek a Research Associate who will design and execute a series of experiments to examine the interactions between temperature, humidity, and light conditions. The candidate will evaluate crop growth and development and identify key regulatory mechanisms and physiological bases underlying yield and quality responses to environmental conditions.

Key Responsibilities:

• Manage plant growth chambers

• Design and execute experiments, and measure underlying physiological mechanisms

• Collect and analyse data for this work package

• Write scientific papers and participate in international conferences

• Communicate and collaborate with colleagues from related work packages

Job Requirements:

• A Master’s degree in plant science, biology, agronomy, or related fields

• Strong command of written and communication skills

• Knowledge of plant physiology and plant developmental biology

• Demonstrated interest in quantitative approaches and crop modelling

• Strong presentation skills

We seek a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret that only shortlisted candidates will be notified.

Position Summary:
Support Adhesive R&D scientists in development, testing, and scale-up of new adhesive products.

Responsibilities:
Preparation of developmental samples.      Developmental product performance testing and data reporting. Laboratory equipment operation and maintenance.       Chemical storage and inventory, lab consumables management. Collects, organizes, and reports data and conclusions in WORD, EXCEL, and PowerPoint formats, utilizing appropriates charts and tables. Issues professional, formal reports upon completion of projects. Chemical list, sample list, and evaluation data, customer test feedback management, and documentation. Works safely and wears personal protective equipment in required areas. Assigned lab hands-on work.

Skills/Qualifications: ITE, Diploma in chemistry, chemical engineering, technology or science related.
Familiar with chemicals and raw materials handling.     0~3 years’ relevant experience in coating paint or adhesive industry is an advantage Strong attention to details and problem solving abilities. Able to carry equipment and raw materials up to 20kg.

Job Summary

Corporate and Investment Banking (CIB) at Standard Chartered Bank has embarked on an ambitious journey to incorporate the latest AI and data science capabilities in all aspects of our business. This includes our Financial Markets and Transaction Banking businesses. To that end, we are seeking a senior data scientist with strong background and experience in developing and deploying sound AI solutions using both the classical machine learning techniques as well as the latest Large Language Models.

Key Responsibilities

• Liaise with product owners and business stakeholders, identify pain points and business use-cases and gather requirements

• Understand business use-cases and develop AI/ML solutions for various business use-cases in collaboration with product owners and the wider team

• Productionize the developed solutions in collaboration with MLOps Engineer and the wider Tech and Data team

• Stay up-to-date with recent developments in Data Science and NLP domains: algorithms, best practices etc. and disseminate them across the team

• Mentor and upskill more junior team members

Strategy

• Support the development of data and AI solutions in cooperation with business stakeholders, IT teams and other relevant parties and to assure that solutions are aligned to the business strategy, released on time, on budget and with high quality.

Governance

• Ensure data quality (DQMF) is applied for data analytics and AI projects

• Adherence to Risk & Data Quality Management Requirements

• Risk and Audit Continuous management of the Trade Application System risk

• Proactively identify issues and actions

• Monitor and remediate issues and actions from audits

• Awareness of the regulatory requirements and ensuring these are catered for in the platform design

Regulatory and Business Conduct

• Display exemplary conduct and live by the Group’s Values and Code of Conduct.

• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.

• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key stakeholders

• Technology and Engineering teams across the bank

• Corporate and Investment Banking (CIB) business teams

• Digital, Data & Coverage Platforms (DDCP)

Our Ideal Candidate

• Degree in Computer Science, Software Engineering, IT, or related fields

• 6+ years of experience in machine learning, data science and/or other relevant quantitative roles -Banking,finance, fraud, risk

• Proficient in Object-Oriented Programming (OOP) in Python

• Experienced Data Scientist with in-depth knowledge of machine learning, deep learning and statistical analysis techniques

• Experience in NLP/DocumentAI, Entity Matching, Anomaly and Fraud detection would be an advantage

• Proficient in using ML, DL, and NLP libraries such as Scikit-learn, HuggingFace, LangChain and PyTorch

• Experience in using big data tools such as Hadoop, Spark and Hive in a cloud environment would be beneficial

• Familiar with CI/CD and MLOps frameworks and building end-to-end ML pipelines

• Experienced in leading and delivering data science projects and supervising/mentoring junior resources

• Experience in working in an agile environment

• Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders

• Self-driven and highly motivated professional with a strong sense of ownership and a passion towards delivering high-quality client solutions

Role Specific Technical Competencies

• Data Science

• Python

• NLP

• Deep Learning

• Stakeholder Management

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do

• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well

• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.

• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.

• Flexible working options based around home and office locations, with flexible working patterns.

• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits

• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.

• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment Assessments

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods for drone swarms. The role will focus on multi-agent visual perception techniques.

Group website: https://personal.ntu.edu.sg/wptay/

Key Responsibilities:

• Develop signal processing and machine learning algorithms and methods for drone swarms.

• Develop multi-agent visual perception techniques.

• Perform software/hardware implementation and empirical studies.

• Prepare report and conduct presentation at seminars.

• Assist PI in proposal writing and help supervise graduate students.

Job Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Statistics, or other related fields.

• Familiarity with machine learning and computer vision frameworks.

• Good written and oral communication skills.

• Interpersonal skill (e.g. Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)

Please send your CV to Tay, Wee Peng (wptay@ntu.edu.sg). We regret to inform that only shortlisted candidates will be notified.

Job Responsibilities:

• Support clinical research studies by coordinating and managing study activities
• Screen and recruit eligible participants according to study protocols
• Obtain informed consent and ensure participants understand study procedures
• Conduct study-related assessments, procedures, and sample collection
• Administer investigational products as required and monitor patient safety
• Coordinate with investigators, sponsors, and research teams for study progress
• Perform other duties related to research activities as assigned

Requirements:

• Registered Nurse with valid Singapore Nursing Board registration
• Strong attention to detail and documentation skills
• Good communication and interpersonal skills

Interested candidates are invited to email your resume to:

jen.ooi@recruitexpress.com.sg
Jenalyn Ooi Huai Sian (R1765551)
Recruit Express Pte Ltd | Company Reg. No. 199601303W | EA License Number: 99C4599

About Us

Founded by 2 expert young teachers, Math Vigilante is a tuition centre providing tutoring services for Math. We provide regular small group classes and 1-to-1 classes for students in primary, secondary and junior college levels.

Who We Look For

We are looking for someone who is passionate and committed to help students improve and cultivate their interest in teaching. Individuals who are proactive and takes initiative to inspire and nurture students to reach their academic potential.

We are looking for a candidate who is able to teach both Primary and Secondary Math, from PSLE Math to N-Level/ O-Level E-Math or A-Math.

Job Responsibilities

• Plan, prepare, and deliver lessons.
• Help out with admin and developing curriculum materials (eg. notes and revision worksheets).
• Create a positive classroom culture by nurturing positive relationships with students.
• Drive improvement and outstanding performance for students.
• Assess, record and report on development and progress of students.
• Provide regular updates to parents on students’ performance and progress.
• Ability to create social media deliverables, instagram/tiktok will be a bonus

Requirements

• Able to commit 4 weekdays and 1 weekend weekly.
• Post O-level graduate with good math academic records.
• Preferably with some teaching experiences.
• A good understanding of the MOE syllabus.
• Personable and able to work with children
• Good communication and interpersonal skills.

This is an exciting opportunity to join an early-stage biotech venture working at the forefront of yeast fermentation. As a Research Intern, you will support ongoing R&D efforts in strain engineering and bioprocess development to enable the production of innovative lipid ingredients via precision fermentation.

You will work closely with the CTO, Senior Strain Engineer, and broader technical team, gaining hands-on experience in genetic engineering, microbial cultivation, and experimental design in a fast-paced startup environment.

Job Description:

• Support routine laboratory operations, including keeping well-organized experimental records and preparation and maintenance of strains, reagents, and consumables
• Execute day-to-day experimentation, including molecular biology workflows and strain screening
• Assist in the design, construction, and testing of engineered microbial (yeast) strains
• Support lipid and fatty acid characterization through analytical assays
• Contribute to ongoing strain engineering and fermentation optimization projects

Ideal Qualifications:

• Currently pursuing or recently completed a Bachelor’s degree in Bioengineering, Chemical Engineering, Microbiology, Molecular Biology, or a related field
• Basic laboratory experience in molecular biology, microbiology, or biochemical engineering
• Familiarity with yeast systems or microbial fermentation is a plus
• Exposure to genetic engineering techniques (e.g.,cloning, transformation, CRISPR) is advantageous
• Singaporean and Singapore PR applicants only

Ideal Skills and Attributes:

• Strong interest in strain engineering, synthetic biology, and industrial biotechnology
• Good foundational knowledge in biochemistry and microbial metabolism
• Detail-oriented with good record-keeping and organizational skills
• Eagerness to learn, take initiative, and work in a fast-paced research environment
• Strong communication and teamwork skills

Location: The position is based out of Singapore. Singaporean and Singapore PR applicants only.

Application: Please send your resume and a cover letter outlining why you’d be interested in this position to shen@terraoleo.com with email subject "Research Intern 2026 - [Your Name]." Compensation will be commensurate with similar research internship roles.

About Terra Oleo:

Terra Oleo is a Singapore-based biotech venture harnessing microbial fermentation to develop sustainable alternatives to conventionally palm oil–derived ingredients and cocoa butter, with the goal of decarbonizing and advancing industries such as personal care, home care, food, and pharmaceuticals.

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) at NTU Singapore, in collaboration with Wageningen University & Research (WUR), is part of the Singapore Indoor Farming System (SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance. The programme contributes to Singapore’s ambition of achieving 20 per cent local production of its fibre (vegetables, mushrooms, etc.) by 2035. The candidate will work in a multinational team at the forefront of Singapore’s agricultural innovation and food security.

The Research Associate will take on a significant role in developing and applying simulation and machine learning models for Asian leafy vegetables to predict growth, transpiration, resource use, and yield under controlled environments, with a focus on production under higher temperature and humidity. The Research Associate will also build self-learning models using continuous sensor data, calibrate and validate them with experimental datasets, and collaborate with project partners to support predictive climate and crop control strategies for indoor farming in Singapore.

Key Responsibilities:

• Conduct climate room experiments by varying environmental conditions for the growth of pak choi

• Develop, calibrate, and validate an explanatory, dynamic crop growth model for pak choi

• Write scientific papers and participate in international conferences

Job Requirements:

• A Master’s degree in plant science, biology, agronomy, or related fields

• ​ Strong command of written and communication skills

• Knowledge of plant and crop physiology

• Experience or a demonstrated interest in a quantitative approach to crop growth Knowledge or experience in programming is preferred

• Strong presentation skills for both academic and non-academic audiences

• Good collaboration skills and ability to work effectively in a team

We seek a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Statistics-and-Data-Science%29/32353-en_GB/?st=6AAA9CF1EC5AC75CE5B99AF9E75B8B862174B57C

We regret that only shortlisted candidates will be notified.

Job Description

One Research Fellow position is currently available in the Department of Statistics and Data Science, National University of Singapore.  The successful candidate will work with Prof Zhou Wang on random matrix theory under a project on "Toward robustness against distribution shift in the open environment".

The main responsibilities of the position include to develop random matrix theory, especially for sample covariance matrices. Candidate with strong background in probability and machine learning would be a plus.

Qualifications / Discipline:  
•    The candidate should have a PhD degree in Statistics or related area.

Skills:  
•    The applicant is expected to develop random matrix theory, especially for sample covariance matrices.

Experience:   
•    The candidate should have research experience of 2 - 3 years.

The Perse School (Singapore) is seeking a dynamic and adaptable Teacher of Computer Science to join our expanding Senior School, opening in August 2025. The successful candidate will play a key role in establishing the Computer Science Department, initially delivering engaging lessons to Years 6 to 10, growing through to Year 11 and A Level/IB Diploma.

Ideally, applicants will have the ability to teach a second STEM subject up to Key Stage 3 or beyond.

As the school grows, this role may include leadership responsibilities within the Science Faculty, providing an exciting opportunity to shape the development of computing education within the Senior School. The post-holder will contribute to the delivery of the Cambridge International Computer Science Curriculum, ensuring students are well-prepared for IGCSE Computer Science and related examinations.

In addition to teaching responsibilities, the successful candidate will serve as a Form Tutor, providing pastoral care and fostering students' personal growth. They will also contribute to the school’s extracurricular programme, engaging students in coding clubs, robotics teams, and computing competitions.

Key Responsibilities:

• Develop and deliver a rigorous and engaging Computer Science curriculum, in line with the Cambridge International Curriculum and The Perse School ethos.
• Teach Computer Science across age ranges from Year 6 through to IGCSE, and A Level/IB Diploma, inspiring students to develop computational thinking and problem-solving skills.
• Support students in preparing for IGCSE Computer Science, for first examination in May/June 2027, delivering a well-structured and challenging course.
• Collaborate with Junior School teachers to ensure curriculum continuity and smooth progression from the Coding and Robotics course taught from Year 3.
• Teach a second subject (e.g., Mathematics, Physics, or another STEM subject) up to Key Stage 3 or 4, where applicable.
• Provide guidance and support as a Form Tutor, promoting students' personal and social development.
• Establish positive relationships with parents, keeping them informed of their child’s progress and addressing any concerns.
• Incorporate innovative teaching strategies and educational technology to enhance learning in Computer Science.
• Create an inclusive and stimulating classroom environment, catering to diverse learning needs, including EAL learners.
• Contribute to the extracurricular programme by leading coding clubs, robotics teams, hackathons, or cybersecurity competitions.
• Engage in professional development and mentor colleagues to promote best practices in computing education.

Person Specification:

Essential Skills and Attributes:

• Strong subject knowledge in Computer Science and effective teaching strategies to support diverse learners.
• Experience teaching Computer Science to students aged 11–16, with familiarity in preparing students for IGCSE or equivalent examinations.
• Excellent interpersonal and communication skills, fostering strong relationships with students, parents, and colleagues.
• Cultural sensitivity and awareness, with the ability to thrive in an international school setting.
• Strong organisational skills and the ability to manage responsibilities effectively in a dynamic environment.
• Proficiency in using technology, coding languages (Python, Java, etc.), and multimedia tools to enhance Computer Science education.
• Demonstrated ability to inspire and motivate students to achieve their full potential in computing.

Desirable Skills and Experience:

• Ability to teach a second STEM subject (Mathematics, Physics, or another relevant discipline) up to Key Stage 3 or 4.
• Experience in developing curriculum frameworks or leading a team within a Technology or Computing Department.
• Experience working with EAL learners, incorporating strategies to support language acquisition in technical subjects.
• Familiarity with concept-based, project-based, or inquiry-based learning approaches.
• Experience teaching in an international school context.
• Passion for integrating Computer Science into cross-curricular initiatives, including STEM projects, AI, and cybersecurity awareness.

Safeguarding:

The Perse School (Singapore) is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. All candidates will be subject to rigorous safeguarding checks, including reference checks, an enhanced DBS (Disclosure and Barring Service) check, and verification of qualifications and employment history.

As part of our commitment to safeguarding, all staff are required to uphold the school’s safeguarding policies, attend regular training, and promote a safe and inclusive environment for all students. Any gaps in employment must be explained, and candidates should be prepared to discuss their approach to safeguarding in education as part of the recruitment process.

Disclaimer

The statements above outline the general nature and scope of work for individuals in this classification. They are not intended to be a comprehensive list of all responsibilities, duties, and skills required. Personnel may be asked to perform tasks beyond their usual responsibilities as needed.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28DISA%29/32357-en_GB/?st=41085BF5874C402EC4DA49352CBB9F7BD4C5EDB7

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Information Systems and Analytics (DISA), School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Information Systems and Analytics.

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

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

Qualifications

• Bachelors or fresh Master’s degree in a relevant area
• Experience in research
• Comfort in reviewing and summarizing research papers
• Comfort in handling and analyzing large data sets
• Prior research experience preferred
• Strong command of English (written and spoken)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-in-cQED-devices/32356-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing. 

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at https://www.cqt.sg/

Job Description

Consolidate studies associated with using echo conditional gates to create quantum states and operations. Train new students in general lab operations, usage of common tools, and measurement processes. Complete data-taking and drafting of manuscript on the quantum simulation of nonlinear potentials. 

Qualifications

Comprehensive knowledge of the team’s infrastructure, tools, and standard workflow in the lab. in-depth experience on designing and testing cQED devices. 

Salary: up to $4500

Working Days & Hours: Mon-Fri Office Hours

Location: Queenstown

Job Description:
You will be responsible for the following:

Coordinate and conduct PROMs surveys for SNAP programs, ensuring timely follow-ups at different post-op time points.

Educate patients on the importance of PROMs and enhance their engagement in the process.

Manage AVBC collected data and prepare reports for stakeholders.

Support both appropriate care and VDO projects within AVBC

Job Requirements: Min Degree in Life Sciences or similar w min 2 yrs of relevant clinical research experience

Interested candidates, please submit your resume to: allylok@recruitexpress.com.sg

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

allylok@recruitexpress.com.sg