Total 2,438 Science / R&D / Research job vacancies

Job Description & Requirements

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recycling antibody®, sweeping antibody®, bispecific antibody, various Fc engineered antibodies, and other new antibody engineering technologies that are under development.

The Senior Accounts Officer role involves comprehensive financial management responsibilities across four key areas:

Key Responsibilities

Financial Report Preparation

• Maintain accurate and complete accounting records in compliance with current accounting standards
• Execute monthly closing processes

Regulatory and Reporting Compliance

• Assist the team in meeting financial reporting requirements and tax compliance obligations
• Serve as liaison with external stakeholders including auditors, tax agents, and government authorities

Process Improvement

• Analyse and enhance business process efficiency and effectiveness

Accounting System Administration

• Manage user access rights and system configurations

Required Qualifications

Education & Experience

• Bachelor's degree in Accountancy
• Relevant work experience, preferably in Accounts Payable (AP)

Technical Skills

• Strong understanding of local accounting standards and tax obligations
• Experience with SAP B One and SAP S4 Hana systems (preferred)

Personal Attributes

• High attention to detail and strong organizational skills
• Ability to work independently and meet deadlines
• Excellent verbal and written communication abilities

This position offers an opportunity to work in a comprehensive accounting role with both technical and administrative responsibilities, requiring both accounting expertise and system management skills.

Interested applicants are invited to email their detailed resume, qualifications, availability, current and expected salary to: recruitment@chugai-pharmabody.com

For more information regarding our Company, you may refer to our website at: http://chugai-pharmabody.com/

We regret that only short-listed candidates will be notified

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-%28Computational-Chemistry%29/30502-en_GB/?st=DC3A8BC5AE7C20880C78594D9FA30DEC0C8DE875

We regret that only shortlisted candidates will be notified.

Job Description

A postdoc position is available in the Department of Materials Science and Engineering at the National University of Singapore under the direction of Dr. Peichen Zhong. This role involves using computational chemistry and machine learning to model electrochemical systems while collaborating with experimentalists.

Qualifications

• Ph.D. in Computational Chemistry/Physics/Materials Science, or related field (completed by start date).
• Strong oral and written communication skills in English.
• Strong background in statistical mechanics and thermodynamics
• Proficiency in density functional theory calculations (e.g., VASP, Quantum Espresso, Q-Chem, PySCF)
• Proficiency in at least one mainstream deep learning framework (PyTorch or JAX)
• Expertise in atomistic thermodynamic & kinetic simulations in electrochemistry
• Expertise in rare-event sampling, free energy calculation, and reaction network modeling
• Ability to independently design and execute research projects, with a track record of high-quality publications.

Responsibilities

• Responsible for operations, maintenance, engineering aspects of Instrumentation & Control (ELV) systems and insfrastructure. 
• Manage daily operations to ensure systems are operating in optimal conditions.
• Respond to and perform troubleshooting for all system failures or deficiencies.
• Respond to Issues, Complaints and Queries in a timely fashion, keeping relevant stakeholders abreast.
• Plan and manage maintenance activities in accordance to OEM or regulatory requirements.
• Manage vendors/contractors on outsourced services to meet the fulfillment of contract terms and agreement.
• Involvement in facilities related projects such as Facilities Upgrading, Improvement Projects and Tool Hook-Up. Close liaison with consultants, authorities, contractors, stakeholders and etc to ensure seamless and timely completion of projects.
• Prepare RFQ / tender documents for all purchase requests.
• Compliance to EHS and regulatory requirements for all activities carried out.
• Active contribution in energy conservation program and initiatives.

Qualifications and work experiences

• An engineering degree. Diploma / ITE cert holders with many years of relevant working experience may be considered too.
• Min. 3 years of relevant work experience preferably in a wafer-fab or similar industry.
• Good experience in electrical, ELV and building automation systems.
• Project management skills; Familiar with government procurement policies and procedures is a major plus
• Good working knowledge on other facilities for e.g. HVAC, mechanical systems typical in a wafer-fab is a plus.
• Familiar with the local codes from BCA, URA, SCDF/FSB, NEA and other statutory requirements
• Analytical skills to trouble-shoot basic facilities systems.
• Able to work independently

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.

Work Timing
• Mondays to Thursdays: 7:30am to 4:30pm, inclusive of 30min lunch break

• Fridays: 7:30am to 4:00pm, inclusive of 30min lunch break

Roles & Responsibilities

a. Management of Resources

Conduct regular inventory management in the Science Laboratories, including stock-taking, replenishment, repairs, and replacement of equipment.

Assist the Head of Department (Science) in liaising with vendors on procurement matters related to laboratory inventory.

Ensure all resources in the Science Laboratories are well-organised and clearly labelled.

Support teachers in facilitating student discussions during laboratory sessions.

Maintain cleanliness and tidiness of the Science Laboratories.

b. Preparation of Resources

Coordinate and manage loan requests from teachers for laboratory resources.

Prepare and set up laboratory materials in accordance with the scheme of work and teachers’ specifications.

Handle printing and photocopying tasks in the Printing Room.

Prepare teaching aids, including cutting and laminating materials, for use in the Science Laboratories.

Administrative Duties

Provide support for ad-hoc administrative tasks and assist in the preparation of resources as required by the school and/or department.

We are seeking Research Assistant to join a university-level research centre collaborating with industry. Successful candidates will be involved in a project that is related to object detection. The key responsibilities include the following:

• Participate in lab work and support on data-efficient object detection with key techniques in few-shot learning, transfer learning, image synthesis, etc.

• Assist in preparing technical documentation, reports, and research reports and/or publications as required by the funding body or for dissemination to the wider academic community.

• To undertake any other duties relevant to the programme of research.

Job Requirements:

• Bachelor’s degree (or near completion) in Computer Science, Electrical/Computer Engineering, or a related field.

• Basic understanding of machine learning and computer vision principles.

• Familiarity with Python and at least one deep learning framework (e.g., PyTorch, TensorFlow, or Keras).

• Interest in research and willingness to learn and explore new concepts.

• Good communication skills and ability to work both independently and as part of a team.

• Strong motivation, initiative, and a passion for solving technical challenges.

We regret to inform that only shortlisted candidates will be notified.

New Product Development

• Proceeds development according to implement plan
• Makes functional specification
• Proceeds electrical, or firmware design
• Plans and proceeds prototype model evaluation and prepare evaluation to reports.

Re-design of Products

• Supports Lead Engineer to estimate return and investment.
• Proceed re-design according to implementation plan.
• Proceeds electrical, mechanical or firmware design.
• Plans and proceeds prototype model evaluation and prepare evaluation report.
• Makes up product manufacturing standard.

Technical Support

• Prepares technical information for parts localize and price negotiation.
• Supports production line if necessary according to superior’s direction.
• Supports parts faculty/investigation according to superior’s direction.

Requirements:

• Bachelor of Mechanical Engineering or its equivalent.
• Experience in analog or digital electrical hardware design.

Electronics Manufacturing Industry

East/Bedok

5 days work week

Interested Applicants, kindly email your detailed resume via email to hr@tempserv.com.sg

Tempserv Pte Ltd

License No: 06C3745

Tel: 62226441

Attention: Audris Teo / EA Personnel No: R1102063

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-in-Middle-East-Institute/32511-en_GB/?st=CEC2C77AAA55306C3E1A3D6E86A41CCCF84908B8

We regret that only shortlisted candidates will be notified.

Middle East Institute (MEI)

The Middle East Institute (MEI) is looking for outstanding researchers for the position of Research Fellow.

As a Singapore-based research institute, MEI is well-positioned between the Middle East and East Asia. We are therefore on the look-out for researchers who not only have an in-depth knowledge of the Middle East but also understand Northeast or Southeast Asia.

In particular, we seek researchers with expertise in the following areas of relevance to the Institute’s Research Clusters:

1.    Global and geopolitical dynamics of the Middle East, including China, Iran and Turkey.

2.    Economies of the Gulf states, and the social, religious and cultural reforms they are undergoing.

Job Description

The Institute’s Research Fellows work under the supervision of the Director and Deputy Director. You may therefore be asked to:

1. Participate in current cluster projects and be encouraged to lead a project.
2.  Assist with organising workshops and conferences.
3. Participate in the Institute’s outreach activities.
4. Contribute to academic research via peer-renewed journals, books, and chapters where requested.

As a Research Fellow at MEI, you will be asked to contribute regularly to our publications and other communications platforms. Some activities you can expect to undertake include:

1. Being actively involved in the activities of your chosen research cluster and those of the wider Institute Contributing at least three in-house publications.
2. Write detailed analyses of current events for our stakeholders.
3. Call for, and edit, papers offering in-depth analysis of a single subject, for quarterly publication.
4. Providing short commentaries to our social media platforms.
5. Where appropriate, accepting requests for commentary from local and international media.
6. Participating in our outreach activities.

Job Requirements

1. You must have fulfilled all requirements of securing a PhD from a reputable university.
2. You may apply even if you are still a PhD candidate. If you are successful, your graduation must be confirmed by the time you join the Institute. An official letter from the Registrar’s Office of your university will be required to confirm the award of your PhD degree.

Terms of Appointment

1. The appointment is for two years only.
2. You will be paid a fixed monthly salary. This is an all-inclusive sum of stipends for housing and living expenses.
3. You will receive a one-time travel assistance payment.
4. Housing is NOT PROVIDED. You are expected to make your own private arrangements.
5. All salary and benefits-in-kind are subject to tax as required by Singapore’s tax laws.
6. You will be eligible for support for research fieldwork and conference attendance.
7. For further information on benefits, about working in NUS and living in Singapore, go to 'Why Join Us'.

Application Process

To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column in the NUS Career Portal when submitting your application:

1. Covering Letter;
2. Curriculum Vitae;
3. Copies of Certificates and Degrees (in English);
4. Two samples of published work in English; and
5. Two Letters of Reference

Additional Application Information

1. Only fully completed applications will be considered including the submission of the two letters of reference.
2. Only successful candidates will be notified (via email). If you are not contacted within ten weeks after the closing date of the advertisement, the position has been filled.
3. Appointment is conditional on approval by the National University of Singapore (NUS) and the Ministry of Manpower granting you an Employment Pass or other applicable work passes.

The Singapore Centre for Environmental Life Sciences Engineering (SCELSE) is a leading interdisciplinary research centre jointly hosted by Nanyang Technological University (NTU) and the National University of Singapore (NUS). SCELSE brings together expertise from the life sciences, engineering, and natural sciences to advance the understanding, engineering, and control of complex microbial communities, including biofilms and microbiomes.

Positioned at the intersection of discovery and application, SCELSE leverages emerging technologies and cross‑disciplinary innovation to address pressing global challenges in health, sustainability, and environmental resilience.

Role Focus

This role will contribute to cutting‑edge research aimed at developing innovative strategies to modulate the gut microbiome for human health. The successful candidate will work within a highly collaborative, forward‑thinking research environment, translating foundational science into impactful insights with potential clinical, nutritional, and therapeutic applications.

SCELSE is seeking a highly motivated Senior Research Fellow to lead and coordinate a strategic research program focused on developing and validating the effects of bioactive components on the gut microbiome and biofilms.

The successful candidate will:

• Provide scientific and operational leadership for the project, including co‑developing study objectives, work plans, timelines, and experimental strategies in close collaboration with internal teams and external partners.

• Design, lead, and execute experimental workflows, from concept through validation, ensuring scientific rigor and reproducibility.

• Perform and oversee advanced data analysis, translating complex biological data into meaningful insights that support innovation and application.

• Contribute hands‑on experimental support where required, while guiding junior researchers and fostering a high‑performance research culture.

• Engage actively with stakeholders across academia, industry, and other partner organizations to align research outcomes with broader translational and societal impact goals.

Requirements & Qualifications

• PhD in Biological Sciences or a closely related field.

• Minimum of 5 years of relevant research experience in microbial ecology and molecular biology, with strong expertise in microbiomes and/or biofilms.

• Demonstrated experience in research or project management, with working knowledge of biostatistics, data analytics, and intellectual property considerations in a research or innovation environment.

• Proven ability to work independently, solve complex scientific problems under tight timelines, and deliver high‑quality outcomes with strong attention to detail.

• Excellent organizational and time‑management skills, with the flexibility to manage multiple priorities in a dynamic setting.

Leadership & Professional Competencies

• Strong leadership and influencing skills, with the ability to build productive relationships and credibility with stakeholders at all levels.

• Collaborative mindset with experience working effectively in fast‑paced, multidisciplinary, and cross‑functional teams.

• International research or professional experience is highly desirable, along with an established regional or global professional network.

• Excellent written and verbal communication skills, including scientific writing and presentations.

• Outstanding interpersonal skills, cultural awareness, and a strong commitment to teamwork, mentorship, and continuous learning.

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-AssociateAssistant-%28Infectious-Disease-Modelling-&-AI-for-Public-Health%29/32509-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

About the Role
The Centre for Epidemic Response & Modelling (CERM) at NUS Saw Swee Hock School of Public Health is recruiting two Research Associates/Assistants to support a diverse portfolio of research projects at the intersection of infectious disease modelling, Bayesian inference, AI, and public health. Projects span AI-driven epidemic forecasting, transmission modelling in the ASEAN region, social network dynamics and use for large language models for public good. Successful candidates will be embedded in a multidisciplinary team working with epidemiologists, clinicians, biostatisticians, data scientists, and public health agencies.

We welcome candidates with complementary skill profiles. One position is oriented towards computational/statistical modelling; the other towards data engineering, visualisation, and software development. Both positions involve hands-on research work and will suit candidates looking to build a strong research track record before or alongside a PhD. The postholder will work with Asst. Prof. Swapnil Mishra (Deputy Director, CERM and AI for Public Health Programme) and engage an active network of collaborators spanning CERM, NUS, Imperial College London, Ashoka University, the Communicable Diseases Agency Singapore (CDA), the National Environment Agency Singapore (NEA), the Machine Learning & Global Health Network (MLGH), and wider regional and global partners.

Key Responsibilities
• Implement and test statistical and computational models for infectious disease dynamics (compartmental models, Bayesian inference, phylogenetic analysis, or machine learning pipelines depending on profile).
• Process, clean, and analyse large-scale epidemiological, genomic, and/or mobility datasets.
• Develop data visualisation tools and contribute to interactive surveillance dashboards.
• Support the preparation of manuscripts, reports, conference presentations, and workshops.
• Collaborate with internal team members and external partners across institutions and countries.
• Contribute to code documentation and reproducible research workflows.

Additional Opportunities
Exceptional candidates may have the opportunity to pursue a PhD at NUS. The group actively supports career development through conference travel, training workshops, and mentorship from senior researchers and international collaborators.

Qualifications

Research Associate (higher band): Master's degree in a relevant discipline (statistics, epidemiology, computer science, bioinformatics, computational biology, biostatistics, or related) with two years of relevant work experience.

Research Assistant (entry band): Bachelor's degree with strong analytical training; candidates with no experience are welcome to apply.

• Solid quantitative background; familiarity with Bayesian inference or machine learning is an advantage.
• Proficiency in Python and/or R; experience with probabilistic programming (Stan, PyMC, NumPyro) or deep learning frameworks (PyTorch, JAX) is desirable but not required.
• Ability to work with real-world datasets and to communicate findings clearly in writing and presentations.
• Demonstrated ability to work both independently and as part of a team.
• A publication or pre-print record (for Research Associate level) is an advantage but not essential.

Interested applicants should submit the following documents:
• A cover letter explaining your interest in the position, and relevant experience,
• A comprehensive curriculum vitae.
• Contact information for two professional references (letters may be requested).

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-Engineer-%28Environmental-Microbiology-and-Biotechnology%29/32492-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking for a highly motivated and collaborative Research Engineer with demonstrated skills in environmental engineering, microbiome, and bioinformatics. The position involves developing novel biotechnologies for nutrients removal and pollutants detoxification in bioreactors, engineered systems, waterbodies and the environment, in particular cultivation and characterization of functional microbes, predictive understanding of microbiome dynamics and functioning in engineering systems such as bioreactors in lab and pilot scale. The selected Research Engineer will be responsible for sample collection or management, culturing, microbiome analysis, data processing, integration, etc. He/she will also be encouraged to collaborate with other laboratory members on diverse research projects.

Job Requirements

•    Possess a bachelor’s degree in environmental engineering.
•    Master’s degree is preferred. 
•    At least 3 years’ of relevant working experience  
•    Prior research experience in one or more areas such as environmental microbiology and biotechnology, chemical analysis; 
•    Multidisciplinary knowledge and research experience in engineering, chemical analysis, environmental biotechnology, bioinformatics, statistics, data mining, machine learning.
•    Independent, motivated, resourceful and able to work in a team.
•    Strong written and spoken communication skills. 
•    Excellent quantitative, writing, and presentation skills.
•    Experience in publishing peer-reviewed publications.
•    Demonstrated ability to direct and run independent research project(s).
Experience collaborating with industrial teams.
•    Open to fixed-term contract 

Responsibilities:

•             Providesassistance to the research team

•             Screensand recruits suitable patients to participate in the research project

•             Briefspatients on research background and rationale and to obtain their consent ofparticipation

•             Collectsdata from patients' medical records and research statistics

•             Helpsdocument adverse events / reactions that arise

•             Performsphlebotomy and venepuncture when required

Requirements:

•             MinimumDegree/ Diploma in Nursing

•             Min 3years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume inMS Word to

nurse@recruitexpress.com.sg

Anthea Lim

Outsourcing Team

Company Reg. No. 199601303W

EA Licence No. 99C4599

Responsibilities:

•        Provides assistance to the research team

•        Screens and recruits suitable patients toparticipate in the research project

•        Briefs patients on research background andrationale and to obtain their consent of participation

•        Collects data from patients' medical records andresearch statistics

•        Helps document adverse events / reactions thatarise

•        Performs phlebotomy and venepuncture whenrequired

Requirements:

•        Minimum Degree/ Diploma in Nursing

•        Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume inMS Word to

valerie@recruitexpress.com.sg

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

Job scope:

In charge of all inventories in the warehouse

Handles inventory operations.

Ensure operational efficiency and identify gaps to improve existing operations.

Resolving issues arising from operations.

Responsible to maintain cleanliness and tidiness of the workplace.

Follow strictly to proper handling of food items according to food hygiene and safety guidelines.

Requirements:

Fast Learner with good supervisory skill

Ability to work in a fast-paced and dynamic environment

Able to work independently

Able to work in freezer

Job Description

We are seeking highly qualified and experienced IB Mathematics and Science Instructors to join our academic team in Singapore. The ideal candidates will have a strong academic background and proven experience teaching International Baccalaureate (IB) programmes, delivering rigorous and engaging lessons that support students in achieving top academic outcomes.

Key Responsibilities

• Deliver high-quality instruction for IB Mathematics, Physics, and/or Chemistry (MYP / DP levels)
• Prepare students for IB internal assessments (IA), extended essays (EE), and final examinations
• Design and adapt lesson plans aligned with IB curriculum standards and assessment criteria
• Provide targeted academic support, including exam strategies and concept mastery
• Monitor student progress and deliver detailed, data-driven feedback
• Conduct small group classes and one-on-one sessions
• Contribute to curriculum development and academic excellence initiatives

Requirements

• Bachelor’s degree in Mathematics, Physics, Chemistry, or a related field (Master’s degree preferred)
• Minimum 3 years of teaching experience in IB programmes or equivalent international curricula
• Strong familiarity with IB syllabus, assessment criteria, and grading standards
• Proven track record of helping students achieve strong academic results
• Excellent command of English (spoken and written)
• Strong analytical, communication, and classroom management skills
• Ability to teach high-achieving students in a rigorous academic environment

Preferred Qualifications

• Experience teaching IB Diploma Programme (DP) students
• Familiarity with Higher Level (HL) subjects
• Experience guiding students in Internal Assessments (IA) and Extended Essays (EE)
• Teaching certification (e.g., PGCE, QTS, or equivalent)
• Experience in international schools or premium academic institutions

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-%28Supply-Chain-Management%29/32507-en_GB/

We regret that only shortlisted candidates will be notified.

Job Role/ Core Capabilities

• Experience with logistics and supply chain processes, including transport operations, fleet management, and operational readiness frameworks
• Model & Algorithm Development: Design, build and implement optimisation models for various transportation contexts, and machine learning classifiers
• Heuristics & Solvers: Develop and refine custom heuristics and metaheuristics (e.g., Tabu Search, Genetic Algorithms) to find high-quality solutions for large-scale, real-world problems. Utilise commercial and open-source solvers (e.g., Gurobi, CPLEX, Google OR-Tools).
• Formulate and solve Mixed-Integer Linear Programmes (MILP) for real-time vehicle–task assignment including objective function design and constraint modelling
• Design, implementation, and delivery of simulation data science solutions to perform system-of-systems discrete event simulations for significantly complex operational processes (e.g., AnyLogic, AnyLogistix, FlexSim, Arena, Demo 3D, etc.)
• Data Analysis & Feature Engineering: Analyse historical and real-time data from multi-source inputs
• Experience analysing large datasets and applying data-cleaning techniques along with performing statistical analyses leading to the understanding of the structure of datasets
• Machine Learning & AI: Train, evaluate, and deploy supervised classification models (e.g., XGBoost, LightGBM), design ensemble pipelines combining rule-based, probabilistic, and ML components; apply explainability tools (e.g., SHAP, LIME) to produce interpretable, auditable decision outputs
• Experience with data visualisation and visualisation tools (e.g., MS Power BI, Tableau), including design and delivery of operational KPI dashboards covering driver–task mismatch rates, fleet health distribution, fatigue heatmaps, and dispatch allocation efficiency

Requirements

Education

• PhD in industrial engineering, Operations Research, Computer Science, Operations Research or an equivalent field

Experience

• Min 1–2 years of experience in logistics and supply chain management
• Experience in research or applied engineering environment delivering optimisation, simulation, or decision-support systems for operational contexts
• Track record of end-to-end model delivery: problem formulation: data pipeline, algorithm design, implementation, validation, stakeholder communication

Technical Skills

• Experience or familiarity with optimisation packages such as Gurobi, CPLEX, OR-Tools, and Python PuLP for MILP formulation and solver configuration
• Experience or familiarity with simulation tools such as AnyLogic, AnyLogistix, FlexSim, Arena, AIMMS, Demo 3D or similar tools
• Proficiency in Python including pandas, numpy, scipy, scikit-learn, XGBoost, PuLP/OR-Tools, and pytest; proficiency in SQL for data queries and operational log extraction
• Experience with MS Power BI, Tableau
• Familiarity with MLflow or equivalent experiment tracking tools for ML retraining pipelines
• Proficiency in MS Office