Total 483 Science / R&D / Research job vacancies in BUKIT PASIR

Key Responsibilities:

1. Preparation of project documentation (VO/Omission including justification, progress claim and etc)
2. Assist project personnel in issuance of PO including getting comparison quote and discussion required
3. Certification of contractor’s payment claim
4. Conduct site walk to verified work done on site
5. All contract related matters
6. Closure of Project Final Account

Requirements:

• Min Diploma in Quantity Surveying
• Minimum 2 years of relevant experience in interior renovations/construction fields is an advantage
• Strong interpersonal skills
• Proactive, responsible, and able to take initiative
• Able to start work immediately
• Singaporeans / PRs only

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/Senior-Research-Scientist-%28Cancer-Science-Institute%2C-Prof-Ashok's-Lab%29/33179-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Duties & Responsibilities

•    Participate, coordinate, planning and executing research programme  
•    Supervising team of up to 5 researchers
•    Manage project deadlines, reporting and presentations internally and to external stakeholders

Requirements

• PhD with 3 years’ relevant post-doctoral experience
• Possess a strong track record of research achievement evidenced by high-quality publications in a relevant field
• Have a high-level experience in hands-on use of a wide range of relevant research methods including molecular and cell biology, somatic cell genetics, protein & nucleic acid biochemistry, advanced fluorescence microscopy and flow cytometry
• Able to work independently and creatively to solve experimental problems
• Have an effective communication and presentation skills, with experience in communicating scientific work including scientific papers, presentations and reports

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-AssistantAssociate-%28Food-Science-&-Technology%29/33173-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Zhou Weibiao on nutritional profile analysis and in vitro digestion of food materials under a project on alternative proteins, funded by the Singapore Food Story R&D Programme 2.0.

The main responsibilities of the position include:
The candidate shall join a multidisciplinary team at NUS to support the development of plant-based meat products with improved digestibility, nutritional quality, and functionality. This position will focus on establishing an advanced in vitro digestion approach to evaluate protein digestibility and conduct comprehensive nutritional profile analysis of alternative protein products.

In addition, he/she will help supervise final year undergraduate projects.

Qualifications

• Qualifications / Discipline:
B.Sc. (for Research Assistant appointment) or M.Sc. (for Research Associate appointment) in Food Science, Food Technology, or a closely related field from an internationally reputable university

• Skills:
Strong wet laboratory and analytical skills
Demonstrated capability of independent researcher
Good team player
Good scientific writing skills

• Experience:  

Research experience with good track record, including:
(1) hands-on experience in food analysis,
(2) lab safety and maintenance, 
(3) report preparation,
(4) working experience in a cross-disciplinary team.

Working experience with antinutrients analysis and/or in vitro digestion is highly desirable.

This position is only open to Singaporeans and Singapore Permanent Residents. 

Interested applicants are invited to apply directly at the US 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-%28Department-of-Materials-Science-and-Engineering%29/33183-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Perform research in neuromorphic computing devices.

Qualifications

The successful candidate should possess the following:
•    A PhD in Materials Science, Chemical Engineering, Chemistry, Physics, or related fields
•    Highly motivated, committed, and capable of working independently as well as collaboratively
•    Strong publication record in peer-reviewed journals
•    Good communication skills in English (both written and oral)
•    Prior experiences with the following will be a plus
•    Optical instrumentation, single-molecule/ super-resolution microscopy, magnetic/optical tweezers, ultrafast spectroscopy, or other in-situ operando imaging tools
•    Machine learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL
•    Organic synthesis, polymer chemistry, synthesis of inorganic nanomaterials, micro/nano-fabrications, genetic engineering of microorganisms
•    Techno-economic analysis of sustainability technologies

For postdoctoral fellows, compensation and benefits package will be internationally competitive (including annual base salary, performance-based bonus, medical insurance and vacation leave), and will be commensurate with experiences and qualifications. 

Interested candidates are encouraged to email a copy of CV (with a list of publications), reprints of three selected publications, as well as contact information of 2-3 references to the NUS Career Portal.

Job Summary
As a Senior Postdoctoral Scholar, you are expected to establish a computational pipeline to achieve catalyst prediction for CO2 electrocatalytic reduction reactions.

This is a multi-step approach, where first DFT will be used to understand reactions, then explore the use of machine learning potentials towards kinetic and large length scale/time scale simulations and eventually integrate into the experimental workflow.

You will be based in at the BEARS Consortium in Singapore at CREATE and will work in a highly collaborative environment as part of the AxCIS team in Singapore, addressing challenges at the interface of materials chemistry, high-throughput synthesis, artificial intelligence, and robotic automation.

Duties & Responsibilities:

• Perform electronic structure calculations on bulk, surfaces, nanostructures as necessary.
• ⁠Develop AI/ML models to predict materials reactions using data-driven approach.
• ⁠Develop codes as necessary to assist existing and new code frameworks for advanced property prediction and analysis.
• ⁠Analyze and present results in meetings or conferences.
• ⁠Disseminate research outputs through high-impact publications, presentations, and data releases in accordance with open science practices.
• ⁠Collaborate with experimental team members, including partners in academia, industry, and national laboratories.
• ⁠Mentorship of junior team members, which can include undergraduate and graduate students.

Qualifications:

• PhD in a relevant discipline (e.g. Chemistry, Materials Science and Chemical Engineering).

Other Desired Qualifications / Experiences / Skills:

• >5 years Post-PhD experience
• Expertise in Artificial Intelligence/Machine Learning models
• Expertise in density functional theory calculations for catalysis applications

Job Summary
We are seeking a hands-on postdoctoral researcher at BEARS under AxCIS Project (AI xploration of Catalysis with Inorganics and Surfaces) in Singapore. This project uses AI and laboratory automation to develop integrated pathways for producing chemicals and fuels in a holistic approach to decarbonization. This role centers on integrating an LLM-driven agentic platform for electrocatalyst discovery and developing novel machine-learning algorithms (e.g., reinforcement learning) for materials discovery and process optimization. You will work closely with multidisciplinary team and  architect and ship end-to-end, closed-loop workflows that connect instruments, edge devices, data backends, and AI agents.
Duties & Responsibilities

• Integrate instruments and IoT devices with reliable drivers/APIs; build autonomous/robotic testing workflows.
• Design LLM agents for planning, tool-use, and experiment control with safety interlocks.
• Develop and deploy RL/BO/active learning for closed-loop optimization.
• Build data pipelines, dashboards, and provenance; analyse and present results.
• Publish in peer review Journals and conferences, and coordinate with sponsors/collaborators.

Qualifications

• Ph.D.  in Computer Science/ Electrical Engineering/ Robotics/ Chemical Engineering /Mechnical Engineering or related.
• Strong in Python, with experience with hardware and software integration (serial/TCP/IP, MQTT, API).
• Practical ML background, including RL/BO; Docker/Linux/Git familiarity.
• Track record in automation or autonomous labs; good communication and collaboration skills.

Scope of Responsibilities and Deliverables 

1. Oversees and coordinates ecosystem activities for quantum computing and technologies:

1. Supports the Executive Director of the National Quantum Office in developing and executing a go-to-industry strategy that will support the growth of a vibrant quantum ecosystem in Singapore.
2. Leads the National Quantum Office’s response to key companies interested to deepen collaboration on Quantum with our national-level quantum programmes such as the National Quantum Computing Hub, and coordinate with the Singapore’s ecosystem to secure stakeholders’ support.
3. Maintains a positive and productive relationship with partners, resolving partnership and technical issues on behalf of the Executive Director.
4. Provides industry domain expertise and advice to the Executive Director on industry and enterprise development aspects for quantum technologies.
5. Represents the Executive Director at various stakeholder platforms on ecosystem development matters.

Requirements

1. At least 10 years of working experience in a similar capacity, with background in science or engineering and an understanding of quantum technologies.
2. Good communication (written and verbal) and interpersonal skills for good relationship management.
3. Strong problem solving, analytical and systems thinking abilities
4. Resourceful and independent
5. Able to work collaboratively with internal and external stakeholders

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. 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-%28Healthy-Longevity-TRP%29/33180-en_GB/?st=85BD52711C8E3993F670E5AFFC6D000B3F0C691E

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant for Geroprotectors in Reproductive Ageing in Professor Brian Kennedy’s Centre for Healthy Longevity (CHL) lab in Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine. CHL focuses on translational research targeting healthy aging, with particular emphasis on the use of repurposed drugs and natural compounds to improve reproductive healthspan. Model organisms include Caenorhabditis elegans (C. elegans) and mice. This position is offered on a one-year contract, with the possibility of renewal based on performance and funding.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the rigorous execution of experimental protocols and timely progression of project milestones. The RA’s role will be to screen for compounds that will increase reproductive health using the C. elegans model, and to study the effects of the compounds with aged mice models.

Main duties and responsibilities

The Research Assistant will work closely with the team to:

1. Perform large-scale compound screening using the C. elegans model;
2. Conduct mechanistic investigation on hit compounds in C. elegans;
3. Manage and maintain the mouse colony, including:

• Ensuring sufficient feed
• Monitoring animal health and breeding status
• Tracking estrus cycles
• Performing weaning and basic phenotyping
• Conducting downstream biochemical and molecular assays

1. Carry out literature reviews, data analysis and detailed documentation of experimental results and project progress;
2. Maintain the highest standard of professional conduct and documentation practices in accordance with institutional policies and procedures;
3. Assist with any other duties of a similar nature that are delegated by the Principal Investigator.

Qualifications

The applicant should:

1. Have a Bachelor’s degree with good results in Life Sciences, Biomedical Sciences or related disciplines, with a strong academic track record;
2. Be able to work independently and in a team, have an investigative nature, exercise sound judgment and handle multiple tasks with precision and accountability;
3. have strong organizational and documentation skills, attention to detail and scientific curiosity
4. Be a highly motivated team player with good communication skills, and willingness to learn and take initiative;
5. Previous experiences with laboratory animals, particularly mice, is strongly preferred. The role involves extensive hands-on work with mice.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Dong Lu at lu_dong@nus.edu.sg.

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 to the NUS Career Portal.

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-Assistant-%28IDS%29/33172-en_GB/

We regret that only shortlisted candidates will be notified.

Overview

We are looking to recruit a Research Assistant for the project “LU-STM: Large Urban Spatial Temporal Model for Urban Planning and Governance”, which will be hosted at the Institute of Data Science (IDS), National University of Singapore (NUS) and led by Prof Ng See Kiong. This project aims to orchestrate end-to-end analytical workflows by using AI foundation models, and demonstrating how workflows extend human capabilities by uncovering patterns, simulating scenarios, and synthesizing information across spatial, temporal, and semantic dimensions.

Only shortlisted candidates will be notified. Please include links to your GitHub repositories showcasing your best project relevant to these topics in your CV/cover letters.

Job Description

Job Summary: The Research Assistant will support research and engineering activities for developing analytical workflows by using AI foundation models, and demonstrating how workflows extend human capabilities by uncovering patterns, simulating scenarios, and synthesizing information across spatial, temporal, and semantic dimensions. You will help design, implement, and evaluate analytical workflows; build and maintain software prototypes and experimental testbeds; and assist with data, documentation, and stakeholder engagement. This role provides hands-on experience across AI research and practical deployment at IDS.

Responsibilities:

• Design and write robust, readable, and reusable code components and applications to implement state-of-the-art research outcomes in machine learning, artificial intelligence, and big data.
• Perform data engineering tasks including data cleansing and processing for analysis of real-world datasets.
• Assists with the editing and preparation of manuscripts, reports and presentations.
• Participate in presentations and demos for exhibiting work at appropriate events.

Requirements

• Bachelors or Masters in Computer Science with a focus in AI, Machine Learning and Big Data.
• Solid programming and application development skills (Python preferred) and experience with ML frameworks (e.g., PyTorch, TensorFlow) and modern development practices (Git, testing, CI/CD).
• Ability to develop robust systems and prototypes with fast turn-around.
• Possesses research background with ability to read and understand methodologies in research papers.
• Fluent in English and good team-player.
• Prior AI expertise with knowledge and interest in spatio-temporal foundation models and urban data analytics is preferred.

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-Sustainable-Finance-%28SGFIN%29/33177-en_GB/?st=9150308994CF31FCAACEE319707B32B09BE6EC1E

We regret that only shortlisted candidates will be notified.

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS.  SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in the financial sector, particularly in the area of sustainable, responsible, and green investing and valuation. The responsibilities of the role will include designing and developing a framework to distill various information regarding corporate sustainability efforts and performance into various metrics that can be analyzed further to support decision making in the corporate, financial, and societal spheres.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Duties and Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Weina Zhang) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of research hypotheses
• Plan and contribute to the collection and organization of corporate financial and sustainability disclosures
• Plan and contribute to the collection and organization of information regarding government policies and regulations in the sustainability space
• Contribute to qualitative and quantitative analyses of existing frameworks, to extend existing frameworks to develop a more comprehensive framework
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• Guide, mentor, and supervise research analysts on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

Qualifications

• Academic background in the following subjects is preferred: finance, accounting, economics, business, sustainable/green finance, sustainability management, or related disciplines. A bachelor’s degree is required, a master’s degree in one of these subjects is highly preferred, with a PhD degree preferred
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is required.
• A thorough knowledge of the research field of sustainable economics or finance is highly preferred.
• Quantitative analytical and/or financial econometric skills, including knowledge of advanced statistical software packages, are highly desired, along with experience with empirical research methods, including developing, conducting and supporting research and data analysis of research projects.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Excellent verbal and interpersonal communication skills, along with strong written communication skills.

Core responsibilities include R&D project execution, experimentation and benchmarking, development of model training strategies, and drafting of technical documentation, proposals and project scoping materials. The position entails working in a highly interdisciplinary R&D team in close collaboration with experts in NLP, LLMs, clinicians, population health, and other health ecosystem stakeholders on AI systems that have the potential to transform patient care and deliver improved health outcomes

Appointments will be based in Singapore for 3 years duration.

Qualifications and Field of Study

Qualifications

• PhD in Computer Science, Machine Learning, NLP, Biomedical Informatics, or a related field
• Strong experience in LLM pre-training and fine-tuning (CPT, SFT, DPO, RLHF-style methods)
• Experience with large-scale training frameworks (PyTorch, DeepSpeed, FSDP, HuggingFace, etc.)
• Experience handling noisy real-world clinical or biomedical text data
• Strong experimental design and benchmarking skills
• Familiarity with cloud-based GPU training environments

Desirable:

• Experience with medical reasoning LLMs
• Background in medical NLP or healthcare AI
• Publications in ML/NLP/health AI journals/conferences

Experience

2-4 years post-PhD with track record in domain deployment oriented projects in applied health or other domains, and in publishing research in leading digital health venues. Experience in healthcare, corporate or application-oriented environments desirable.

Other Requirements (e.g. Skills, Competencies)

Competencies

• Keen experience and intuition for working with large, complex real-world health datasets
• Ability to innovate with advanced NLP and FM methodologies as well as to direct prototyping for demonstrating research ideas
• Exposure to varied digital health study designs, research methods, human computer interaction frameworks, and clinical evaluation approaches
• Cross-disciplinary experience spanning clinical needs definition, clinical workflow understanding, R&D problem formulation, health or medical technology evaluations, impact evaluation and/or real-world implementation.
• Ability to work independently as well as in multidisciplinary teams with strong interpersonal skills
• Good communication skills for publications, reports and proposals.
• Quick learner; able to acquire the necessary domain knowledge
• Agility in dynamic project environments with impact-oriented mindset

Drive to keep pace with AI/LLM R&D developments, work with full stack data engineering and deployment teams for real world projects, and with healthcare ecosystem partners on clinical translational studies highly desirable.

Skills

• Experience with LLM/FM frameworks as well as NLP/LLM toolkits
• Experience with ETL processes and dataset curation for FM training, especially for large or multimodal health datasets
• Strong programming abilities, particularly in Python and Bash for LLM pipelines, clinical data preprocessing, and ETL workflows. Experience with SQL/PostgreSQL and large-scale data processing (e.g., PySpark) is advantageous.
• Strong quantitative skills including statistics, probability, machine learning, and deep learning, with the ability to design rigorous evaluation frameworks for LLM reasoning quality, trustworthiness, and clinical safety.
• Comfort with biomedical knowledge representation and model evaluation
• Comfort within cloud-based data engineering and ML environments
• Exposure to FMOps/DevOps infrastructure and pipelines for deploying AI/LLM solutions for healthcare applications 

Motivated applicants with significant AI expertise and strong programming skills who are looking to switch into domain related roles and committed to building robust and scalable approaches for national scale healthcare impact will also be considered.

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.

Company Overview

D’perception, established in Singapore since 1991, is a leading commercial interior design consultancy in the Asia-Pacific region. We deliver exceptional office, retail, and hospitality interiors that integrate business solutions with design excellence and budget adherence.

Job Summary

Support the design team by producing detailed drawings, preparing presentations, sourcing materials, and assisting project management to deliver high-quality interior design solutions.

Responsibilities

• Assist in detailed design drawings using AutoCAD to support project requirements
• Assist in design presentations incorporating visual aids such as color schemes and material boards
• Assist in sourcing competitive quotes, materials, and samples to meet project specifications and budget
• Assist in developing and updating construction specifications and design documentation for project execution
• Assist Project Manager in processing variation orders and closing project accounts
• Present design concepts clearly and effectively to clients to facilitate decision-making

Preferred competencies and qualifications

• Currently Pursuing Diploma or Degree in Interior Design or other relevant fields
• Creative conceptual design skills to develop innovative interior solutions
• Proficient in technical and detailed coordination of drawings for accurate project delivery
• Competent in AutoCAD, Photoshop, PowerPoint, Excel, and other design software to enhance presentations and documentation
• Skilled in space planning, conceptual design, and interior detailing to optimize functional layouts
• Strong teamwork and proactive communication skills to collaborate effectively with colleagues
• Client management skills to maintain positive relationships and understand client needs

We are seeking a skilled and proactive IT & Network Engineer to support, maintain, and optimize our organization’s IT infrastructure and network systems. The ideal candidate will be responsible for ensuring system reliability, security, and performance across all IT environments, while providing technical support to end users and participating in infrastructure projects.

Job Description & Requirements:

• Networking skills (basic understanding, configuration, and settings of routers, switches, Wi-Fi access points, VLANs, routing, and troubleshooting)
• L2/L3 Windows administration (basic understanding, configuration, and settings of the full Wintel stack: AD, DNS, DHCP, GPO, and basic scripting)
• Linux (comfortable with CLI administration, LVM, Apache, and Tomcat)
• Solaris (comfortable with CLI administration, SVM, and Tomcat)
• Firewall appliance experience (basic understanding, configuration, and settings)
• Vendor management and case reporting
• Front-end user support
• Customer office site support (network infrastructure, Windows administration, and end-user support)

Education & Experience:

• Minimum ITE Diploma
• 2-4 years experience in IT infrastructure and network management

Key Competencies:

• Strong problem-solving and troubleshooting skills
• Ability to work independently and in a team environment
• Proactive mindset with a focus on continuous improvement

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-AssistantAssociate-Centre-for-Sustainable-Medicine/27734-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Climate change is the defining challenge of this century, and healthcare is both a victim of climate change and a major contributor to it. The Centre for Sustainable Medicine (CoSM) at the National University of Singapore works at the frontier of policy, clinical systems, and global health to accelerate the transition to low-carbon, climate-resilient health systems across Asia and worldwide.

Purpose of the Post

We invite applications from a dynamic, experienced professional to help advance CoSM’s research priorities and to strengthen the real-world uptake of the Centre’s work.

The postholder will work across the Centre’s major workstreams - including health system carbon analytics, clinical transformation, and capacity building - ensuring that research and technical evidence are synthesised, interpreted, and translated into decision-ready outputs for policymakers, health system leaders, clinicians, partners, and other stakeholders.

This is a cross-cutting role at the interface of research, policy, and implementation. The successful candidate will play a leading role in converting evidence into high-impact products, supporting policy feedback cycles, and strengthening lessons from implementation and stakeholder engagement to inform the Centre’s future research.

Key Responsibilities and Roles

1. Research synthesis, analysis, and translation

• Contribute to the development of research outputs, including reports, peer-reviewed publications, technical analyses, and policy papers.
• Support the analysis and interpretation of research findings from CoSM projects, including emissions baselines, adaptation and mitigation strategies, health system analytics, and education initiatives.
• Translate research outputs into clear and actionable products for policy and practice, including policy briefs, executive summaries, technical guidance, and knowledge products.
• Identify cross-cutting insights from CoSM’s body of work and shape coherent evidence narratives that communicate the Centre’s contribution to global sustainable healthcare transformation.
• Support the preparation of academic publications, including drafting sections of manuscripts, coordinating co-author inputs, and assisting with reference management and editorial processes.

1. Policy feedback and implementation learning

• Support the policy feedback cycle by gathering and synthesising insights from governments, delivery partners, clinicians, and other stakeholders on how evidence is being received, interpreted, and applied.
• Help ensure that lessons from implementation and engagement feed back into research framing, future analysis, and programme development.
• Facilitate structured dialogue between research teams and policy or practice stakeholders to strengthen the relevance, usability, and timing of CoSM outputs.
• Support the development and coordination of communities of practice across Asia-Pacific and globally, particularly in areas such as net zero healthcare, climate-resilient health systems, and health system decarbonisation.

1. Knowledge and evidence dissemination

• Support dissemination of research through regional and global platforms, including technical forums, convenings, policy roundtables, and academic or professional events.
• Prepare high-quality briefing materials, concept notes, slide decks, summary papers, and dissemination products for international events, multilateral engagements, and senior partner discussions.
• Develop accessible summaries and tailored synthesis materials for different stakeholder groups, including ministries of health, hospital leaders, clinicians, finance stakeholders, academic audiences, and learners.
• Support the strategic positioning of CoSM’s flagship initiatives by ensuring clarity, consistency, and strong evidence-based narratives across written, digital, and presentation materials.

Qualifications

Essential

• A Bachelor’s degree or Master’s degree in public health, health policy, health systems, environmental health, economics, social policy, or a related field.
• 3-8 years of experience in research, public policy, evidence synthesis, policy-facing roles, or related functions.
• Demonstrated ability to interpret and translate complex technical or research material into clear, structured, and compelling outputs for varied audiences.
• Strong analytical and writing skills, with excellent editorial judgement and the ability to distil evidence without oversimplifying it.
• Experience working with multidisciplinary teams and engaging senior stakeholders across research, policy, and implementation settings.
• Strong organisational skills and ability to manage multiple workstreams simultaneously.

Highly desirable

• Experience working with governments, multilateral organisations, or large health systems.
• Familiarity with climate, sustainability, or health system transformation agendas.
• Experience working at the interface of research, policy, and implementation.
• Experience supporting dissemination of research through policy products, technical guidance, publications, or high-level stakeholder briefings.
• Experience supporting regional or international partnerships.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Jit Sohal, Head of Strategy and Impact, at joincosm@nus.edu.sg

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 (if any) and full contacts of three (3) referees to the NUS Career Portal. 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-Associate-%28NUS-IHME%29/29977-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore (NUS) invites applications for the position of Research Associate as part of a collaborative partnership between the Institute for Health Metrics and Evaluation (IHME) at the University of Washington and the NUS Yong Loo Lin School of Medicine. The successful candidate will contribute to the Global Burden of Disease (GBD) Study, a landmark international research effort that produces robust, timely, and comparable estimates of health loss due to diseases, injuries, and risk factors worldwide. This role offers an opportunity to be part of a global network advancing data-driven health policy and research impact. More information about the study can be found at: https://www.healthdata.org/research-analysis/gbd.

Purpose of the Post

We seek a motivated and methodical researcher with a strong sense of analytical rigor, who is enthusiastic about applying data to real-world public health challenges and informing evidence-based policy. Appointments will be made on a 1-year or 2-year contract basis in the first instance, with the possibility of extension.

The Research Associate will report to and work closely with the Principal Investigator and study team members to support the successful implementation of ongoing research cycles under the GBD Study. The primary responsibilities will include conducting systematic reviews, performing data extraction and preparation, supporting quantitative data analysis, interpreting and critically appraising results, and contributing to the dissemination of findings to key stakeholders.

Main Duties and Responsibilities

The Research Associate will:

• Conduct systematic reviews and support data extraction, cleaning, and quality-checking in preparation for analysis.
• Support data analysis, including descriptive statistics, generation of graphs, tables, maps, and other innovative figures to visualise health data.
• Interpret and critically appraise analytical results, including cross-checking outputs against existing evidence, identifying implausible estimates, and investigating discrepancies before accepting findings.
• Plan and execute analyses in a structured and reproducible manner, maintaining clear documentation to support team-wide auditability and continuity.
• Contribute to key publications, including the development of manuscripts and associated publication materials.
• Assist in external engagement efforts, providing analytical and visualization support to local and regional partners, including the Ministries of Health and multilateral agencies across Asia.
• Assist with any other duties of a similar nature as delegated by the Principal Investigator.

Qualifications

The following qualifications and competencies are required or preferred:

Academic Background

• Master’s degree in epidemiology, public health, biostatistics, statistics, mathematics, social sciences, medicine, or other quantitative disciplines.
• Basic working knowledge of epidemiological measures (e.g. incidence, prevalence, mortality rates, age-standardized rates, disability-adjusted life years) is required.
• Prior research experience is an advantage but is not strictly required.

Analytical & Technical Skills

• Proficiency in R or Python for data wrangling, analysis, and visualization. Candidates should be able to demonstrate an understanding of the logic and validity of their analytical steps, not only the mechanics of running code.
• Familiarity with statistical concepts, including measures of central tendency, regression models, uncertainty estimation, and data quality assessment.
• Familiarity with systematic review methods and databases (e.g. PRISMA, PubMed, Embase) is an advantage; full training will be provided.

Analytical Thinking & Scientific Rigor

• Ability to break a research question into clearly sequenced analytical tasks, anticipate where errors are most likely to arise, and document processes for reproducibility.
• Willingness to interrogate results critically, rather than accepting outputs at face value, and to investigate further when findings are surprising or inconsistent with prior evidence.

Communication

• Strong written and verbal communication skills, including the ability to organize and structure scientific write-ups clearly.
• Detail-oriented, organized, and able to work both independently and collaboratively.

Professional Attributes

• Comfortable using AI-assisted tools (e.g. AI-assisted coding, literature screening) as productivity aids, with an understanding of their limitations and the continued need to verify outputs independently.
• Possesses a strong sense of responsibility, intellectual curiosity, and professionalism.
• Strong interest in global health and health policy.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be directed to A/Prof Marie Ng at marieng@nus.edu.sg.

Formal application: Please submit your application indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, a complete list of publications/oral presentations, and full contact details for three (3) referees) to the NUS Career Portal.

We regret that only shortlisted candidates will be notified.