Total 590 Science / R&D / Research job vacancies in PASIR GUDANG

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-Digital-Humanities-%28Department-of-Philosophy%2C-and-CSSH%29/33069-en_GB/?st=27CF5936A55A2B7A914BA56A6DB2771EB8ECC8AF

We regret that only shortlisted candidates will be notified.

Job Description

    1.       To act as lead engineer in bringing to fruition the project English Philosophy Texts Online (EPTO), a free library of early modern philosophical and theological texts, whose pilot website is at English Philosophical Texts Online.  This builds on the long-term project Hume Texts Online, developed by Professor Millican together with Dr Amyas Merivale (who will continue to act as a consultant).  Hume Texts Online has become the standard resource for Hume scholars worldwide, and the aim of English Philosophical Texts Online is to do the same for a wide range of early modern texts, while extending significantly the analytical tools provided.

   2.        To support the development of technical and organisational software infrastructure for digital humanities within the Centre for Computational Social Science and Humanities, with a view to future grant applications and projects.

   3.        To provide materials, teaching and practical classes to support the application aspects of the course HS1503, Living with AI: Understanding the Technology that’s Changing Everything.  These include AI in humanities research, languages, texts, creative work, and related professional contexts.  Practical work will cover use and critical evaluation of relevant tools, e.g. in textual analysis, translation, research assistance, content generation, and decision support.

Teaching and support for the HS1503 course would be undertaken in close liaison with the course’s principal lecturer (likely to be Assistant Professor Daniel Waxman in Semester 1, and Professor Peter Millican in Semester 2).  It is expected that the appointee will be fully responsible for producing materials and running practical classes and tutorials on the application aspects of the course (but not on the philosophical or historical aspects), and for preparing the corresponding lectures.

Qualifications

This position requires a good first degree and an appropriate Master’s or Doctoral degree, with at least 2 years’ relevant work experience, and good knowledge, technical skills and expertise in the field of digital humanities.

The appointee is expected to have expertise and at least two years’ experience in relevant programming, with a keen interest in software development and exploration of new techniques for digital humanities (including application of machine learning to OCR and textual analysis, and innovative display of analytical results).  In addition, he or she should have some experience in teaching at a university level (or similar), and in producing appropriate educational materials.  Experience in mentoring junior staff, and in providing technical guidance on a variety of projects, would also be desirable.

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-%28Maritime-Decarbonization-Quantitative-Analysis%2C-Systems-&-Policy-Modelling%29/32712-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Centre for Maritime Studies (CMS) and Department of Industrial Systems Engineering and Management at the National University of Singapore (NUS) invite applications for the position of Research Fellow to support maritime decarbonization research, focused on the IMO Net-Zero Framework (NZF) and related regulatory and market developments. The role involves quantitative analysis, scenario & optimization modelling, and data-driven assessment of compliance pathways, fuel transition, and strategic implications for shipping and maritime ecosystem.

Key Responsibilities

• Conduct quantitative and scenario-based analysis of maritime decarbonization pathways, compliance strategies, and regulatory impacts.
• Develop analytical and modelling frameworks to assess compliance costs, fuel/fleet transition and technology adoption.
• Analyze maritime datasets (e.g., AIS, fleet and vessel data) to support empirical and policy-relevant assessment.
• Contribute to reports, publications, presentations, and stakeholder-oriented outputs.

Qualifications

• PhD in Industrial Engineering, Operations Research, Maritime Studies, Energy Systems, or a related quantitative discipline.
• Background in maritime decarbonization, quantitative analysis, optimization/ML modelling, uncertainty/scenario analysis.
• Proficiency in programming (Python/MATLAB/R/Excel) for data analysis and modelling.
• Familiarity with maritime datasets (e.g., AIS, SeaWeb, IHS) and maritime regulatory developments is an advantage.
• Strong publication record, analytical skills, and ability to communicate with both academic and policy audiences.

Overview

The Consortium for Clinical Research and Innovation, Singapore (CRIS) brings together seven national R&D, clinical translation and service programmes to advance clinical research and innovation for Singapore, and establish important capabilities for a future-ready healthcare system.

The Business Entities under CRIS include:

• Singapore Clinical Research Institute (SCRI)
• National Health Innovation Centre (NHIC)
• Advanced Cell Therapy and Research Institute, Singapore (ACTRIS)
• Precision Health Research, Singapore (PRECISE)
• Singapore Translational Cancer Consortium (STCC)
• Cardiovascular Disease National Collaborative Enterprise (CADENCE)
• SIngapore Medical FOundation AI model (SIMFONI)
   

Together, CRIS makes a positive difference to Singapore patients and researchers by ensuring that these clinical research platforms and programmes are at the cutting edge of capability development and innovation. If you are as passionate as we are in clinical trials and research, we want you!

The Singapore Translational Cancer Consortium (STCC) aims to strengthen the overall impact of cancer research and translation in Singapore by bringing together key basic, clinical and translational teams on joint platforms to actively establish and implement collaborative cancer programmes. STCC is part of the Consortium for Clinical Research and Innovation Singapore (CRIS) umbrella of research-related business entities and is supported by the National Research Foundation, Singapore (NRF) and the Singapore Ministry of Health through the National Medical Research Council (NMRC) Office, MOH Holdings Pte Ltd.

STCC; a nationally coordinated consortium to synergise cancer research capabilities in Singapore, brings together unmatched basic, clinical, and translational talent in Singapore to create globally significant peaks of excellence in selected Asian cancers.

STCC's five joint platforms – Cancer Clinical Trials and Investigational Medicine Units, Cancer Databases and Tissue Banks, Translational Research Integration and Support, Business Intelligence and Development, and Impact and Population Health – provide an enabling research and innovation environment driven to foster translational research and meaningful outcomes for society.

Through collaborative relationships with our partner institutions [comprising of National Cancer Centre Singapore (NCCS), National University Cancer Institute, Singapore (NCIS), National University Hospital (NUH), National University of Singapore (NUS) and Tan Tock Seng Hospital (TTSH)],  and by capitalizing on the strengths of industry and academia, STCC is uniquely poised to develop initiatives that are aligned with Singapore's goals in value-based healthcare innovation and economic value creation.

About the Role

The Programme Manager will support the STCC Programme Office in coordinating and executing key translational research programmes, while facilitating collaboration across STCC platforms. The role aims to strengthen STCC’s ability to deliver multi-institutional programmes and improve alignment between clinical, research, data, and industry-facing activities. The incumbent will work across programmes and platforms, with scope to progressively take on greater responsibility as familiarity with STCC’s operations increases. The role will also support improved coordination across programmes and platforms to enable more efficient translation of STCC capabilities into research and collaboration outcomes.

Key Responsibilities

Programme Coordination & Execution

• Support planning and execution of STCC programmes by:
  Developing and tracking workplans, timelines, and deliverables.Coordinating stakeholders across institutions and platforms.
• Follow up on action items to ensure steady progress of programmes.
• Provide support to programme leads to achieve defined objectives.

Cross-Platform Coordination

• Facilitate coordination across STCC platforms for programme implementation.
• Work with platform managers, leads and other stakeholders to:
  Align activities where programmes involve multiple platforms.Clarify roles and responsibilities.
• Identify coordination issues or bottlenecks and escalate where appropriate.

Platform and Collaboration Support

• Support platforms in linking their capabilities with programme and collaboration needs
• Assist in preparation of materials or proposals for internal and external collaborations
• Coordinate inputs from multiple stakeholders for partnership-related activities

Programme Office Coordination & Leadership Support

• Support overall Programme Office coordination, including:
  Programme tracking and reportingPreparation and coordination of meetingsDocumentation and follow-up on action items
• Assist in preparing materials for internal and external discussions and meetings
• Support coordination of key initiatives across stakeholders and ensure timely follow-through
• Contribute to improving processes and workflows within the Programme Office to enhance efficiency and clarity
• Take ownership of assigned tasks and follow through to completion with minimal supervision.

Requirements

• Degree or Masters in health & biological sciences or related discipline; a PhD is not essential but will be an advantage
• Prior experience in healthcare or science sector is a plus
• Excellent time management and organisational skills.
• Excellent written and verbal communication skills.

What you need to know

Successful candidate will be offered a 3-year renewable contract. We regret that only shortlisted candidates will be contacted. For more information about CRIS and the Business Entities, visit our websites below:

• CRIS – https://www.cris.sg
• SCRI – https://www.scri.edu.sg
• NHIC – https://www.nhic.sg
• ACTRIS – https://www.actris.sg
• PRECISE – https://www.npm.sg
• STCC – https://www.stcc.sg
• CADENCE – https://www.cadence-cvd.sg
• SIMFONI - https://www.cris.sg/singapore-medical-foundation-ai-model-simfoni

The NUS High School is a specialised school offering a seamless 6-year programme to students between the ages of 12+ and 18 years and who have an aptitude for Mathematics and Science. We invite suitable applicants for the following position.

Teacher in the following subject: Geography
We are looking for candidates who possess a relevant professional teaching qualification (or Post-Graduate Diploma Education equivalent) and

• have a passion in the relevant teaching subjects and inspire students to love the subjects via teaching and role modelling
• can participate and contribute to the planning, development and teaching of an integrated 6-year curriculum in the relevant teaching subjects
• are effective within and outside the classroom, adopt innovative pedagogies such as IT-enabled learning, differentiated learning, collaborative learning and learner-focused interaction
• can initiate and mentor research projects
• are able to provide for the learning needs and character development of high-ability learners ranging from 12+ to 18 years of age
• are able to contribute as an effective Co-curricular Activities (CCA) teacher and form-teacher

Requirement

• Competent in teaching Geography up to O-Level and/or A-Level H2 and/or H3 content.
• Experience in teaching Social Studies (Upper Secondary) is advantageous.
• Research work experience is desirable – able to offer and guide Humanities/interdisciplinary research projects for high school students.

Employment Terms:
2-year contract, subject to renewal

Remuneration will be commensurate with qualifications and experience. Interested applicants, please email your detailed resume to hr@highsch.nus.edu.sg

Job Summary

A postdoctoral research fellow position in the areas of Artificial Intelligence (AI) and Machine Learning (ML) for spatial omics and precision medicine is available at the Loo Lab in the Bioinformatics Institute (BII), A*STAR, Singapore. The group develops next generation spatial omics assays, cellular phenotype analysis methods, and machine learning models to predict patient drug responses. The group also develops and manages the HistoPath Analytics (HPA) Platform and ImmunoAtlas (https://ImmunoAtlas.org) for automated management, visualization, and analysis of large multiplex tissue images and spatial multi omics data. 

The successful candidate will be part of an interdisciplinary team working on the development of new biomarkers, and metabolomics data analysis methods for cancer diagnosis and precision medicine. His/her main responsibility is to develop and apply novel AI and ML models and methods for analyzing mass spectrometry data (LC/MS and MSI), large multiplex tissue images, and spatial transcriptomics data collected from cancer patients. The candidate will also perform computational algorithm implementation and benchmarking, present research findings at international conferences, and publish in high-impact scientific journals. The candidate will have the opportunity to work in a highly stimulating environment, and collaborate closely with biologists, physicians, and pathologists. Senior candidate with relevant previous experience may also have the opportunity to plan and lead new projects.

Qualifications:

• PhD or Master in Computer Science, Bioinformatics, Computational Biology, Chemical Engineering, Molecular and Cell Biology, Cancer Biology, or a related field.
• Proficiency in Python and R programming languages.
• Strong background in AI/ML modelling, statistics, and data analysis and visualization. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) for image analysis and data modelling is required.
• Basic knowledge of molecular biology, cancer biology, metabolism, and immunology is required.
• Previous experience in analyzing metabolomics and/or multiplex tissue image is highly desirable.
• Good spoken and written communication skills, especially for the preparation of scientific manuscripts and reports.
• The ability to work effectively in a collaborative team setting.

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%2C-School-of-Computing/32570-en_GB/?st=7DA39663641A4F41E8890083630AD3594C5FF38B

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 Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, 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 Computer Science and Information Systems

Fuzzing is a powerful technique for finding security vulnerabilities in systems and is used by corporations regularly. In this work, we will study the role of AI in cybersecurity - by aiding fuzzing techniques with large language models.

Tasks

• Conduct Research on AI-Aided Fuzzing: Lead research efforts to explore the integration of large language models (LLMs) with fuzzing techniques for identifying security vulnerabilities in systems. Design experiments and methodologies to evaluate the effectiveness of AI-aided fuzzing in comparison to traditional methods.
• Develop AI Models for Fuzzing Enhancement: Develop and implement AI models, including deep learning architectures, reinforcement learning algorithms, and natural language processing techniques, to enhance fuzzing capabilities. Train these models on relevant datasets to improve their ability to generate meaningful inputs for fuzzing.
• Collaborate with Interdisciplinary Teams: Collaborate with interdisciplinary teams comprising cybersecurity experts, AI researchers and software engineers to integrate AI-aided fuzzing techniques into existing cybersecurity frameworks. Communicate findings and insights effectively to team members and stakeholders.
• Publish Research Findings: Document research findings in academic publications, conference papers, and technical reports. Disseminate knowledge gained from the study of AI in cybersecurity, particularly in the context of fuzzing, to the broader research community through presentations and workshops.

Qualifications

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research

Job Description

The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI.

Prof. Wang Yibin and Dr. Xiaoyu Song are seeking a highly motivated Research Fellow to join a collaborative, interdisciplinary team focused on statistical, computational, and integrative analysis of metabolomics and other omics data, with applications in cardiovascular and metabolic diseases.

The successful candidate will contribute to interdisciplinary research at the interface of biostatistics, bioinformatics, computational biology, and metabolomics, with applications in translational cardiovascular science. Projects may include developing and applying statistical and AI methods for metabolomics and spatial multi-omics data, integrating multi-modal datasets (genomic, transcriptomic, proteomic, and clinical), and identifying molecular mechanisms, biomarkers, and risk predictors for cardiovascular and metabolic diseases.

This position offers a unique opportunity to work closely with both methodological and biomedical investigators in a highly collaborative environment, and to contribute to impactful research in human disease biology and translational medicine.

Key Responsibilities:

• Design, adapt, and apply statistical, computational, or AI-based methods for metabolomics and multi-omics data analysis.
• Analyse large-scale metabolomics, proteomics, transcriptomics, genomics, imaging, and clinical datasets; interpret results to generate biological and/or clinical insights.
• Contribute to integrative analyses to elucidate molecular mechanisms and identify biomarkers for cardiovascular and metabolic diseases.
• Work closely with biostatisticians, clinicians, biologists, and other collaborators within Duke-NUS and with external partners.
• Prepare oral presentations, written reports, and visual summaries to communicate methodologies, findings, and scientific significance.
• Contribute to and lead preparation of manuscripts for submission to statistical, computational, and biomedical journals.
• Assist in the preparation of grant applications, progress reports, and related research documentation.
• Support project coordination and maintain well-organised documentation of research activities.
• Perform any other related duties incidental to the work described herein.

Job Requirements

• PhD in Biostatistics, Bioinformatics, Computational Biology, Statistics, Data Science, Systems Biology, or a related quantitative field.
• Strong background in statistical modelling, machine learning, bioinformatics, or high-dimensional data analysis.
• Proficiency in programming languages such as R and/or Python.
• Experience in the analysis of metabolomics, spatial omics, or other biomedical datasets is preferred.
• Interest in cardiovascular biology, metabolic disorders, translational medicine, or biomarker discovery is desirable.
• Excellent communication, organisational, and collaborative skills.
• Ability to work both independently and as part of an interdisciplinary research team.
• A strong publication record in peer-reviewed journals is an advantage.

We regret that only shortlisted candidates will be notified.

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated AI Research & Development Intern to join our AI Product group that delivers innovative Computer Vision solutions to global customers.

You will conform to high standards and work in a cutting-edge, dynamic, and professionally challenging environment.

As part of your role you will:

• Implement practical solutions using Large Language Models (LLMs), foundational Computer Vision (CV) models, and agentic AI to address real-world challenges.
• Conduct rigorous experiments to validate model performance, including data preparation, evaluation, and benchmarking, ensuring reliability and accuracy.
• Develop prototypes and proof-of-concept systems to test innovative ideas and demonstrate their feasibility and value.

Minimum Qualifications:

• Bachelor’s degree (completed or in progress) in Computer Science, Engineering, Mathematics, or a related technical field.
• Familiar with machine learning and deep learning concepts, with hands-on project experience or strong interest in real-world applications.
• Proficient in at least one programming language, and familiar with database systems, Linux environments, Docker, and Git version control tools.
• Excellent analytical, problem-solving, logical reasoning, communication, and teamwork skills.

Duration:

• Available for at least a 6-month internship.
• Able to work at least 4 days a week (Preferably full-time / 5 days a week).
• We are flexible with start and end dates and allow flexibility to accommodate exams, leave etc.

Why join cynapse?

• Hands-on experience working on cutting-edge AI projects.
• Mentorship from experienced engineers and researchers.
• Opportunity to build impactful solutions and contribute to meaningful projects.
• Exciting work environment with flexible hours

Note: Due to the nature of the role, the position is considered for candidates that are only based in Singapore or have experience studying/working in Singapore

Based in Singapore, the Data ScienceIntern will develop and apply machine learning and computer vision techniquesto extract actionable insights from data collected by inspection and NDT tools,helping to advance the company's software products and solutions.

What will you do

• Develop tools to process the high volume of information collected by cameras and NDTtools (e.g Ground Penetrating Radar)
• Uncover hidden data correlations in aforementioned data (e.g. presence of corrosion vs concrete cover vs geographical location)
• Improve existing software tools using data science

1. Discover, learn and apply state-of-the-art Machine Learning techniques to InspectionTech problems.
2. Leverage data science techniques to improve customer insights in the InspectionTech space.

• Support project lifecycles from brainstorming to production
• Contribute to developing cutting-edge software and solutions that add value to the company and its customers.

What do we expect

• Pursuing a bachelor’s degree in Computer Science or related fields.
• Knowledge in Machine Learning libraries such as PyTorch.
• Knowledge in Computer Vision libraries such as OpenCV.
• Knowledge in Python and neural network frameworks (Pytorch, TensorFlow).

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-%28Scaling-Cooperative-Intelligence%29%2C-School-of-Computing/32566-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, 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 Computer Science and Information Systems.

We are seeking a post-doctoral researcher to join a research group focused on scaling cooperative intelligence. The Research Fellow will be responsible for working closely with the Principal Investigator in one or more of the following research areas: (i) human-like cooperative agents; (ii) normative multi-agent systems; (iii) cooperative infrastructure for humans and AI.

Enquiries can be sent to xuan.cs@nus.edu.sg.

Only shortlisted candidates will be notified.

Job Requirements

• A PhD degree in Computer Science or a related field (e.g. Computational Cognitive Science or Computational Social Science).
• Interdisciplinary background in multi-agent systems, agent-based modeling, evolutionary game theory, cultural evolution, or related areas.
• Strong programming skills, and a solid foundation in mathematics and statistics.

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-%28Computer-Systems%2C-Machine-Learning%29%2C-School-of-Computing/32568-en_GB/

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 Computer Science, 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 Computer Science and Information Systems.

The successful candidates will be responsible for working closely with the incoming Assistant Professor Dr Jiang Wenqi, 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:

• Machine Learning Systems
• Computer Systems
• Computer Architecture
• Databases

Only shortlisted candidates will be notified. 

Qualifications

• Bachelors or fresh Master’s degree in a relevant area for research assistant position
• Experience in research
• Solid background in computer systems, machine learning, or related areas

Job Description

The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI.

Dr. Xiaoyu Song’s laboratory at Duke-NUS Medical School is seeking a motivated Research Fellow with expertise in biostatistics, bioinformatics, or computational biology. The successful candidate will join an interdisciplinary team developing novel statistical methods for multi-omics data analysis. Research areas may include method development for studying the tumour microenvironment using spatial transcriptomics, integrative proteogenomics for causal inference, and AI-driven models for cell-type-aware analysis of bulk omics data.

This position offers an opportunity to work at the forefront of biostatistics and contribute to advancing the understanding of cancer and other complex diseases.

Key Responsibilities:

• Design and develop statistical methods for high-dimensional omics data, including multi-level data (subject, tissue, single-cell) with or without spatial features.
• Analyse large-scale omics datasets, interpret results, and generate biological insights.
• Work closely with national and international collaborators, including biostatisticians, clinicians, biologists, students and other research staff.
• Prepare oral presentations and written reports to evaluate data, explain analysis methods, and interpret results.
• Lead and contribute to high-impact publications in statistical and biomedical journals.
• Assist in the preparation of grant applications and reports for ongoing funded projects.
• Perform other related duties incidental to the work described herein.

Job Requirements

• PhD in Biostatistics, Bioinformatics, Computational Biology, or related fields.
• Strong foundation in AI, statistical modeling, machine learning, or high-dimensional data analysis.
• Proficiency in programming languages such as R, Python, or Julia.
• Excellent communication and collaborative skills.
• Strong publication records in peer-reviewed journals is an advantage.
• Experience with biological data (e.g., genomics, transcriptomics, single-cell data) is an advantage.

We regret that only shortlisted candidates will be notified.

Job Description

The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI.

Dr. Xiaoyu Song’s laboratory at Duke-NUS Medical School is seeking a motivated Research Assistant or Research Associate to support ongoing projects in biostatistics, bioinformatics, computational biology, artificial intelligence (AI), and multi-omics data analysis.

The successful candidate will join an interdisciplinary team developing statistical, computational, and AI-driven approaches to analyse complex biomedical data. Research areas may include bulk and single-cell omics, spatial transcriptomics, proteogenomics, and integrative AI models to advance understanding of complex human diseases.

Depending on experience and training, the candidate will contribute to data analysis, model development and implementation, literature review, interpretation of results, and coordination of research activities.

Key Responsibilities:

• Assist with data cleaning, management, processing, and analysis of biomedical and omics datasets.
• Support the implementation, testing, and application of statistical, computational, or AI-based methods.
• Contribute to the development, evaluation, and interpretation of statistical or AI models under supervision.
• Conduct literature reviews and summarise key research findings.
• Prepare tables, figures, presentations, and written summaries of research results.
• Collaborate with interdisciplinary team members, including biostatisticians, clinicians, biologists, students, and research staff.
• Contribute to the preparation of manuscripts and reports, as appropriate.
• Provide support for project coordination and routine administrative tasks, including scheduling meetings, organising materials, tracking timelines, and preparing documentation for reports or submissions.
• Maintain accurate and organised research records and documentation.
• Perform other related duties incidental to the work described herein.

Job Requirements

• Bachelor’s or Master’s degree in Biostatistics, Statistics, Bioinformatics, Computational Biology, Data Science, Computer Science, Artificial Intelligence, Life Sciences, or a related field.
• Strong foundation in statistical modelling, machine learning, or high-dimensional data analysis.
• Prior experience in data analysis, statistical programming, machine learning, or computational research is preferred.
• Proficiency in R, Python, or similar programming languages.
• Ability to work both independently and collaboratively in a research environment.
• Prior exposure to genomics, transcriptomics, single-cell, imaging, or other biological datasets is advantageous but not required.

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-%28Computer-Science%29/32571-en_GB/?st=D6600C8B411B3E89EE81FF80048283A0B614DF26

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, 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 Computer Science and Information Systems.

The Research Fellow will work with the PI in AI Security.

Job Requirements

• Have a strong background in AI security.
• Have very good programming skills.
• Have a Ph.D. degree in computer science or a related area.
• Published papers on top-tier conferences as the first author.

Job description

The Duke-NUS Cancer and Stem Cell Biology (CSCB) Programme studies the causes and treatments of cancer and related diseases. The CSCB research groups have diverse programmes in both basic cancer biology and clinical-translational studies, with a special emphasis on cancers that affect the Asian community in general.

A/Prof Nicholas Tolwinski is seeking a Research Fellow to conduct large-scale dataset analysis using machine learning approaches. Our dynamic and growing research group focuses on understanding signal transduction biology and developing interventions to improve health span and quality of life.

• Oversee data collection from molecular and cell biology experiments under the supervision of the Principal Investigator or his designate.
• Conduct RNA sequencing analysis and related bioinformatics workflows.
• Develop biological clock models and computational frameworks.
• Contribute to de novo antibody design using computational approaches.
• Support the development and application of large language models (LLMs) in research.
• Prepare and review research manuscripts; present findings at scientific meetings.
• Conceptualise new research ideas and develop independent research plans with potential for significant impact and funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Contribute to occasional educational / instructional activities and project management.
• Provide guidance and mentorship to undergraduate / medical students and research assistants.
• Maintain optimal experiment progress in the laboratory or in the research work undertaken.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD and/or post-graduate medical degree with at least 3 years’ relevant research experience and training.
• Entry-level candidates may also be considered.
• Strong knowledge of genetics and molecular biology techniques.
• Proven track record in the form of high-impact publications.
• Demonstrated progressive capability in research independence.
• Strong writing and critical thinking skills, as well as good communication and presentation skills.
• A team player who is able to prioritize, multitask, and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.