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

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-%28Electronics-Engineer%29/33425-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT), National University of Singapore is looking for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office Singapore. The aim of the program is to develop a full stack quantum processor system based on Yb-Ba ions emphasizing on the performance rather than on the qubit numbers. This program brings together the unique capabilities of the existing ion trap groups in CQT expertizing on these two-ion species to explore scalability of the system.

The Centre for Quantum Technologies is a pioneering quantum centre in the world offering a diverse research culture at the intersection of the cross-section of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive salary and enriching intellectual experience in a city state known for its forward outlook. This program also allows strong collaboration within and outside the country with leading academic and industrial groups within and outside the country. We are looking for talented electrical/electronic engineers to join the team of scientists and engineers working on the next generation of the quantum processor.

The team members will work to build electronics to control the ion trap quantum processor. That includes digital design, RF and microwave sources and low noise analog / digital front end. The ideal candidate should have practical experience in at least one of the following fields and desire to cross the boundaries and learn relevant skills. The successful candidate will be involved in all stages of the development cycle: collaborate with other team members to define the technical requirements, design, manufacturing, testing and integration of the prototype into the control system.

Job Requirements

We are looking for several electrical engineers to join the small team of scientists and engineers working on the next generation of the ion trap quantum processor. The candidate should have:

• Bachelor or Master degree in electronics, electrical engineering or related fields;
• At least 1-2 years of experience in electronics design is preferred;
• Experience in programmable digital logic design using Verilog or VHDL, digital signal processing, and familiarity with control theory;
• Design and characterisation of low noise electronics for the analog front end, good understanding of the noise sources in electronic circuits;
• Design and implementation of the RF electronics circuits.

More Information

For more details please contact: Manas Mukherjee at cqtmukhe@nus.edu.sg

As a clinical research coordinator, you will be actively involved in coordinating clinical trial activities according to the study protocol and in compliance to the ICH Good Clinical Practice guidelines and the Health Products (Therapeutic Products) Regulations under the Health Product Act.

You will support and assist the Principal Investigator in the following trial related activities:

• Patient screening and recruitment,
• Monitoring subject’s compliance to their treatment and follow-up,
• Data collection and management including resolving data discrepancies,
• Coordinating the collection of biological specimens,
• Monitoring of adverse events and safety reporting,
• Maintaining and organising of investigator site files, preparation and submissions to the ethics committee and relevant local health authorities,
• Tracking of trial expenditures and timely invoicing.

Requirements:

• Degree in Life Sciences/Nursing
• OR Diploma in Nursing with minimum 6 years working experience as CRC
• 2 years of related working experience will be advantageous
• Excellent time-management and communication skills
• Able to work independently and as a team
• Detail-oriented and self-motivated
• Good grasp of MS Office applications

The Assistant Manager / Senior Assistant Manager is responsible for overseeing and coordinating the end-to-end administration, governance, and operational management of research grants and funded programmes across the grant lifecycle effectively.

This role serves as a key liaison between Principal Investigators (PIs), research teams, internal and external stakeholders to oversee pre-award and post-award grant activities, monitor grant utilization and reporting requirements, manpower management and ensure timely resolution of operational and compliance matters, for smooth coordination, accountability, and delivery of funded research initiatives.

A strong foundation in scientific concepts is preferred, as the role requires reviewing research proposals and related documents to support administrative processes effectively. The incumbent may be assigned additional responsibilities by the supervisor where necessary.

Key Duties & Responsibilities

1. Pre-Award Grant Administration

• Assist in the preparation, submission, and tracking of research grant applications.
• Ensure compliance with funding requirements, institutional policies, and deadlines.
• Liaise with PIs and research teams to gather necessary documentation.
• Maintain accurate records of grant-related documents and communications.
• Review scientific proposals to ensure administrative completeness and compliance

2. Post-Award Grant Management and Compliance

• Manage post-award grant administration, including grant activation, budget tracking, and project monitoring.
• Monitor grant utilization, milestones, and project timelines.
• Track grant lifecycle for clear visibility.
• Manage grant variations and extensions where required.
• Ensure proper documentation and maintenance of grant records.
• Identify operational risks and escalate issues where necessary.

3. Financial Management and Budget Oversight

• Oversee and manage financial aspects of grants, including budgeting, expenditure monitoring and forecasting
• Verify claim statements
• Support research-related procurement and financial tracking where necessary

4. Stakeholder Management and Support

• Serve as key point of contact for internal and external stakeholders on grant-related matters.
• Ensure clear and accurate documentation of research activities and administrative processes.
• Support audit and compliance checks as required.

5. Manpower Management and Administrative Coordination

• Coordinate manpower-related processes for grant-funded projects including recruitment, onboarding, contract renewals, and staff appointments.
• Monitor and forecast staffing timelines, manpower allocations and funding support in accordance with approved budgets and institutional policies.
• Maintain up-to-date manpower records for staff and clinical fellows

6. Contracts and Agreements Management

• Draft, review and negotiate research contracts, collaboration agreements, material transfer agreements etc., while liasing with legal teams.
• Monitor compliance with contractual obligations and funding terms.
• Contract lifecycle management.
• Study and understand relevant IRB protocols to advise research teams about study feasibility.

7. Research Infrastructure/Programme Development and Strategic Support

• Manage and contribute to the planning and implementation of new research initiatives, platforms, of foundational capabilities.
• Support the establishment, implementation, and operationalization of research and grant management infrastructure to support research programmes and strategic initiatives.
• Coordinate processes, workflows and governance frameworks required to support the research programme operations.
• Support onboarding and coordination of research programme resources, stakeholders and operational requirements.

Key Requirements:

• Bachelor’s Degree in Biomedical Sciences, Life Science, or a related field.
• Strong written and verbal communication skills, including preparation of grant documentation reports and correspondence.
• Experience in grant administration, research management or research operations.
• Demonstrated experience in budget preparation, financial tracking for research grants.
• Experience in contract management of research agreements (i.e. work plan creation/amendment, facilitating contract discussions).
• Good critical thinking and problem-solving skills.
• Possess an understanding of medical and clinical research terminology.
• Candidate should preferably have background in cancer biology and/or genomics and data science.
• Self-motivated and team player.
• Ability to complete tasks independently with minimal supervision.
• Ability to work on multiple projects involving multiple stakeholders concurrently.
• Adaptability and able to navigate within an evolving research and regulatory landscape.
• Good organizational and interpersonal skills.
• Attention to detail with strong documentation and record-keeping skills.

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-%28Urban-Water-Management-%29/33428-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Architecture at NUS invites applications for multiple research positions within an interdisciplinary research project about urban ecosystem services. Successful candidates will join a dynamic and collaborative team engaged in large-scale, externally funded projects addressing pressing urban challenges in Singapore and globally. The positions offer a supportive research environment, competitive remuneration, and access to state-of-the-art facilities.

The research fellow is expected to join at the end of 2026. The position is a one-year appointment and might be renewed up to 3 years based on the performance and career plan of the hired person.

Responsibilities 
•    Conduct flood risk analysis for residential precincts
•    Develop and calibrate runoff models (e.g., InVEST)
•    Perform water quality and hydrological analysis
•    Publish scientific findings

Qualifications

•    PhD in Urban Hydrology, Water Management, or related field
•    Experience in hydrological modelling and simulation
•    Strong statistical and data analysis skills
•    Familiarity with GIS and environmental modelling tools
•    Ability to work independently and manage research timelines

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/33417-en_GB/?st=A55755FF81B4A3D34A21E0374435BE769288FA37

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant (RA) 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 motivated research assistant to join a research group focused on scaling cooperative intelligence via rational, model-based AI engineering. The Research Assistant 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) cooperative infrastructure for humans and AI; (iii) probabilistic programming and model-based planning.

Enquiries can be sent to the Principal Investigator, Dr Tan Zhi Xuan at dcsv402@nus.edu.sg.
Only shortlisted candidates will be notified.

Job Requirements

Successful candidates should have at least a Bachelor's degree in Computer Science or a related field. They should possess strong programming skills, and demonstrate a solid foundation in mathematics and statistics. Research experience in AI, computational cognitive science, or related fields is highly desirable. Familiarity with the following areas is useful: probabilistic programming languages, Bayesian modeling, planning algorithms, multi-agent systems, LLMs.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow%2C-Security-%28School-of-Computing%29/33419-en_GB/?st=4BE945D60CCC38A4FBFF14E6E239368304BA2DD3

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 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 postdoctoral researcher will work on processor security and hardware testing. The role focuses on building new ways to find design bugs in processors before those processors are manufactured or deployed. This includes fuzzing, which means automatically generating many test programs to stress a processor design and expose incorrect behavior. The work will also study transient execution attacks, where a processor may briefly compute on secret data and leave traces that an attacker can observe.

The candidate will design new testing methods, build research prototypes, evaluate them on open processor designs, and publish the results in leading security and systems venues. The candidate will also help mentor PhD students, contribute to research planning, and support collaborations with academic and industry partners.

Qualifications

• The candidate should have a PhD in computer security, computer architecture, systems, or a closely related area.
• Strong experience with processor testing, hardware security, or fuzzing is expected.
• The candidate should be comfortable reading processor designs and working with simulation tools.
• Programming ability is important, especially for building research systems that can run at scale.
• The role also requires the ability to explain technical work clearly to people with different backgrounds. 
• The candidate should be able to turn a research idea into a working prototype, compare it fairly with prior methods, and write papers that make the contribution easy to understand.
• A strong record of top-tier publications is necessary.

Alexandra Hospital (AH) is seeking a motivated Research Assistant / Research Associate to support health services and clinical research. Working with a dedicated research team in AH, you will contribute throughout the research lifecycle - from protocol development to dissemination. 

Roles & Responsibilities

Core responsibilities 

• Project coordination and management, including ethics submissions and follow‑up.
• Contribute to research protocol development and study documentation.
• Primary data collection (e.g., surveys, interviews, chart reviews) and data entry, basic data cleaning, and preliminary analyses.
• Conduct quantitative and/or qualitative analysis under supervision.
• Undertake literature reviews, including systematic reviews.
• Contribute to scientific manuscripts, reports, and support dissemination of findings (seminars, presentations).
  
  

Additional / advanced responsibilities (experienced RA):

• Specialised skills in health economics evaluation/ implementation research/AI in health/ health services outcomes research will be an advantage.
• Conduct independent systematic reviews and meta‑analyses.
• Perform advanced statistical analyses and data interpretation.
• Support grant applications (concept notes, methods, budgets).

Qualifications & Requirements

• Bachelor’s or Master’s degree in health sciences, public health, life sciences, psychology, social sciences, or related fields.
• At least two years’ work experience, ideally in health‑related research.
• Experience using Stata, SPSS, and/or NVivo.
• Fluent in written and spoken English.
• Desirable: Experience working with electronic medical records (EMR).
• Track record of publication (e.g., authorship on scientific papers).

If the role sounds interesting to you, please contact ‘careers_alexandra@nuhs.edu.sg’ to understand more on the role. Please indicate the position that you are interested in the subject heading.

*Only Singapore Citizens and Singapore Permanent Residents may apply.

Asian Thoracic Oncology Research Group (ATORG) is the coordinating platform for translational research in Asia. Its mission is to advance medical knowledge of lung cancer and improve health outcomes of patients through clinical studies and scientific events. ATORG operates under National Cancer Centre Singapore.

We are looking for a Research Fellow who will provide critical support in the design, writing, and operational documentation of multi-country investigator-initiated trials (IITs) and translational oncology studies under the ATORG platform. This includes drafting study protocols, scientific reports, stakeholder materials, and contributing to consensus meetings and academic outputs.

This role is ideal for a motivated and detail-oriented individual with strong scientific writing skills and an interest in driving precision oncology research across Asia.

Main Responsibilities:

1. Study Design and Protocol Development (40%)

• Draft and refine clinical and translational protocols, including Synopsis, Study flow diagrams, Schedules of assessments (SoA), and biomarker sections
• Coordinate protocol input from PIs, Statisticians, Clinicians, and vendors
• Adapt study designs to site capabilities, operational constraints, and scientific objectives

2. Scientific & Grant Writing (30%)

• Develop Abstracts, poster presentations, and manuscripts for submission to Scientific conferences and journals
• Prepare Grant applications, Letters of Intent (LOIs), and scientific reports for academic and industry sponsors
• Draft meeting materials for advisory boards, working groups, and regulatory discussions

3. Stakeholder Engagement & Meeting Support (20%)

• Support scientific communications with local and regional collaborators, including meeting minutes, presentation decks, and briefing materials
• Liaise with site investigators, pharma sponsors, CROs, and academic partners to support scientific alignment across projects
• Contribute to preparation and documentation of region

4. Strategic Input & Innovation (10%)

• Provide input into vendor evaluations, consensus statement writing, and research planning documents
• Assist with the development of SOPs, training materials, and collaborative frameworks to improve ATORG’s scientific processes

Key Requirements:

• Master’s degree in biomedical sciences, cancer biology, molecular medicine, public health, or related field
• At least 2–3 years of relevant research or clinical trial experience, particularly in scientific documentation or study design
• PhD in a related field OR equivalent track record of scientific output (e.g., peer-reviewed publications, lead authorship on abstracts)
• Familiarity with clinical trial protocol writing, GCP principles, or ethics submissions
• Prior experience in oncology research, translational studies, or regional research collaborations

Advantageous Skills to Have:

• Scientific Writing & Communication: Excellent ability to translate complex scientific and clinical data into clear, accurate protocols, manuscripts, and presentations.
• Analytical & Problem-Solving: Strong capability to evaluate scientific feasibility, identify risks, and propose practical solutions.
• Stakeholder Engagement: Skilled in managing relationships with investigators, sponsors, vendors, and internal teams across different cultures and geographies.
• Organisational & Project Management: Ability to manage multiple projects concurrently, meet deadlines, and maintain attention to detail.
• Regulatory & Compliance Awareness: Competence in ensuring study design, documentation, and publications comply with international and local regulations, SOPs, and ethical standards.
• Technical proficiency with MS Office, reference management software, and clinical trial management systems (CTMS) is desirable.

At EDDC, our goal is to discover and develop novel therapeutics by working collaboratively with public sector and industry partners. EDDC now has an opening and is seeking to recruit a highly motivated Scientist in the EDDC Academic Research Organisation team. The successful candidate will participate and support inter-disciplinary drug discovery projects through the management of our small molecule compound inventory and our automation systems. This is an exciting opportunity to be a part of the team working on the discovery of novel therapeutics and engaging in preclinical drug development from target exploration to drug candidate selection.
 
Job Description

The compound management scientist oversees the lifecycle of small-molecule compounds and related materials (e.g., fragments, libraries, reference standards) across the organization. This role ensures accurate tracking, efficient distribution, and optimal utilization of compounds to support research, screening, and drug discovery programs. 

The ideal candidate combines expertise in compound management with strong computational and automation skills, enabling data integrity, system efficiency, and continuous process improvement.

Job Scope

Key roles and responsibilities

1. Compound Inventory Management & Oversight:

• Receive, catalogue, and store chemical compounds in a systematic and organized manner, ensuring traceability and quality control throughout their lifecycle.
• Maintain accurate and up-to-date records of compound inventory, including quantities, locations, batch numbers and expiration dates.
• Monitor and report on stock levels to ensure an adequate supply for ongoing research and screening activities.
• Perform routine inspections to ensure the integrity and safety of stored compounds.

2. Compound Tracking and Documentation:

• Utilised laboratory information management systems (LIMS) and other digital tools to record, track and maintain compound data.
• Generate and update compound inventory reports, including batch information, chemical properties, and associated documentation.
• Prepare, maintain and ensure accessibility of safety data sheets (SDS) for all compounds, adhering to regulatory requirements.

 3.  Automation & System Integration:

• Implement, operate, and oversee automated liquid-handling and compound-dispensing systems to enhance efficiency, accuracy, and throughput.
• Collaborate with automation engineers and IT specialists to integrate robotic workflows, scheduling software, and compound databases into unified digital ecosystems.
• Support the development of automated data pipelines to improve sample traceability, compound-to-screen data linkage, and machine learning readiness.

4. Collaboration and Support:

• Work closely with medicinal chemists, screening teams, and informatics groups to ensure compound availability, integrity, and traceability.
• Receive and process compound requests from research teams, ensuring accuracy and compliance with company procedures.
• Prepare compounds for distribution, including labeling, packaging, and documentation.
• Maintain a log of compound distributions and returns.

5. Safety and Compliance:

• Adhere to safety protocols and guidelines for handling, storing, and disposing of chemical compounds.
• Ensure compliance with institutional and external regulations governing hazardous material management.
• Promote a culture of safety and accountability by routinely reviewing and updating chemical safety practices

6. Communication:

• Serve as a key liaison with researchers, scientists, and other stakeholders to align compound management activities with project priorities.
• Communicate effectively across team members and departments to coordinate compound management activities and address any issues or concerns.

7. Continuous Improvement & Innovation:

• Identify opportunities to optimize compound management processes, reduce waste, and enhance efficiency.
• Recommend and implement enhancements in inventory management systems and workflows.
• #Support data harmonization efforts and contribute to building a machine learning ready infrastructure connecting compound, assay and screening dataset.

8.  Training and Development:

• Stay current with developments in compound management best practices and technologies.
• Provide training and guidance to colleagues and new team members, as needed.

General Requirements

• Bachelor’s or Masters Degree in biological sciences, chemistry, engineering sciences or computer science.
• At least 2 years academic or industrial experience in biology or chemistry laboratories as a technician or research officer. 
• Strong organisational and communication skills, demonstrated ability in establishing and managing research partnerships.
• Ability to work independently and as part of a team in a fast-paced, dynamic environment
• Willingness to learn new techniques and adapt to changing priorities

Preferred Skills/Experiences:

• Experience in lab automation and liquid handling platforms.
• Experience with inventory management of samples or compounds, database software.
• Familiarity with robotics integration or lab digitalization initiatives.
• Strong understanding of chemical data formats (SMILES, SDF, CSV) and integration with cheminformatics tools.
• Knowledge and experience of the process of performing high throughput screening assays using microplates.

Job Description

We are looking for a passionate and capable individual to work with flexible sensors, wearable technologies, and benchtop biochemical analytics.

1. Be familiar with electrochemistry and electrochemical detection/analytics, colorimetric assays, enzymatic reactions, and biochemistry.
2. Be familiar with, and regular/daily wet-lab processes, materials processing, sample preparation, and electrochemical device preparation.
3. Be familiar with device and materials characterisation, such as common electrochemical approaches (CV, amperometry, DPV, SWV, etc), impedance measurements, basic optical measurements, and standard microscopy.
4. Possess basic computational abilities such as python, basic AI skills, with a keen eye for automation.
5. Be highly motivated for intellectual output (problem solving, publications, IP and general knowledge creation), able to learn quick on the job, able to think outside the box for research and engineering solutions

Qualifications & Field of Study:

Bachelors in preferably biomedical engineering, or materials science and engineering; chemical or electronics engineering or related fields are also relevant.

1. Good understanding of sensing materials, conductive/semiconductive materials, electronic devices, electrochemical sensors, and their related device engineering/development and characterisation tools
2. Good with detailed hands-on work in wet lab, meticulous and attention to detail; good with characterisation measurements
3. Have sufficient computational knowledge and abilities to complement research, including basic programming language, basic AI skills, awareness of automation etc.
4. Basic awareness and knowledge of biosensors, wearables technology, healthcare/medtech landscape.

Other Requirements:

1. Strongly driven for intellectual output and knowledge creation
2. Resourcefulness in problem solving
3. Diligent and team player, work in multi-disciplinary environments.

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.

Job Description

The project is related to exploration and application of artificial intelligence (AI) in design, analysis, discovery and validation of new ferroelectric and piezoelectric material for high-performance energy conversion or signal transmission functions. The materials particularly include ferroelectric and piezoelectric single crystals and thin films as demanded for producing competitive MEMES devices and ultrasonic transducers. The job scope covers design, growth, evaluation and analysis of ferroelectric and piezoelectric materials and related database generation for AI implementation, and relevant validation and demonstration.

Requirements:
• Ph.D in physics, material science, engineering; or a bachelor/master degree holder with expertise and skills related to data science (Scientist or Engineer position)
• Passion in creating new ferroelectric and piezoelectric materials, or application of AI in analyzing and discovering ferroelectric and piezoelectric materials.
• Any of R&D experience below: ferroelectric and piezoelectric characterization and analysis; data science, machine learning for design and validation of new materials; growth of piezoelectric single crystal; solid-state crystal growth; fabrication of ferroelectric thin films and ceramics.
• Good track record in technical publication, high performance record in university, or verifiable experience in the relevant areas as stated above.

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.

You will be part of the research team under the Heart Protection theme at the National Heart Research Institute of Singapore (NHRIS), National Heart Centre of Singapore (NHCS), dedicated to developing innovative strategies to prevent and treat heart injury. Our multidisciplinary group integrates cardiovascular biology, nanotechnology, drug delivery, disease modelling, and translational science, collaborating closely with clinicians, engineers, and scientists across NHCS and Duke–NUS to accelerate the development of therapies from bench to bedside. Our team culture values rigour, teamwork, innovation, and translational impact, offering a dynamic environment for scientific growth.

You will support ongoing research projects in therapeutic development and contribute to a range of molecular experiments and formulation work, including RNA synthesis, modification, and purification, as well as the preparation and optimisation oflipid nanoparticles (LNPs) and other delivery formulations. You will also conduct in vitro assays encompassing cell culture, molecular analysis, and characterisation, alongside in vivo validation work.

Beyond experimental responsibilities, you will maintain accurate laboratory records and ensure proper documentation throughout. You will support general lab operations — including reagent preparation, equipment maintenance, and purchasing — while working collaboratively as part of a multidisciplinary team.

Jobrequirements:

• Bachelor’s degree in chemistry/ Materials Science, Molecular Biology, Biomedical Science, or related fields

• At least 2 years’ experience either in RNA therapeutics/ RNA synthesis/ RNA biology, or in Chemical synthesis/ LNP delivery

• Strong hands-on laboratory skills and experimental troubleshooting ability

• Good communication and organisational skills

• Documented proof of:

(i) Measles (or MMR - Mumps, Measles and Rubella) vaccination or serological evidence of measles immunity; and

(ii) Tdap (Tetanus, Diphtheria and Pertussis) vaccination received within the last 10 years, as required for all healthcare workers under the Healthcare Services Act. Applicants without these vaccinations may apply if they commit to completing the required vaccination(s) before work commencement, upon successful job offer.

Job Description

The AI Research Scientist will contribute to clinical foundation model workstream for primary-care decision support. The role will focus on adapting open and/or institutionally approved foundation models to Singapore primary-care use cases, such as hypertension and cardiometabolic-renal multimorbidity scenarios involving diabetes, dyslipidaemia, CKD risk, medication burden, preventive care and follow-up planning.

The scientist will prepare structured training and evaluation data from clinical vignettes, synthetic cases, guideline-grounded Q&A, and eHINTS-like longitudinal data extracts where available. The role will support supervised fine-tuning, reinforcement learning or preference alignment experiments, and model evaluation against clinical templates, guideline compliance, safety constraints and usability requirements.

Key Responsibilities

• Prepare model-ready datasets from clinical vignettes, synthetic consultation cases, longitudinal records and guideline-derived tasks.
• Develop and run fine-tuning, instruction-tuning, preference-alignment and/or retrieval-augmented generation experiments for GP-oriented clinical tasks.
• Implement evaluation scripts for guideline adherence, factuality, safety alerts, medication recommendations, missing-data handling and structured output quality.
• Support multimodal and longitudinal data modelling where patient histories, lab trends, medications, notes and care plans need to be represented over time.
• Work with clinical collaborators to translate hypertension and multimorbidity requirements into model tasks, prompts, labels and acceptance criteria.
• Document experiments, datasets, model cards, limitations and reproducibility steps for internal review.

Required Qualifications and Skills

• PhD Degree in computer science, AI, biomedical informatics, computational science, data science or a related quantitative field.
• Hands-on experience with Python and modern deep-learning frameworks such as PyTorch, Hugging Face Transformers, vLLM or equivalent.
• Working knowledge of LLM fine-tuning, prompt engineering, retrieval-augmented generation, evaluation pipelines and reproducible ML experimentation.
• Ability to process structured and unstructured clinical data safely, including tabular records, notes, medications, lab values and guideline documents.
• Good understanding of model evaluation, error analysis, data quality control and responsible AI practices in healthcare or other high-stakes domains.

Preferred Experience

• Experience with clinical NLP, medical LLMs, healthcare datasets, FHIR/EMR-style data, or guideline-based decision support.
• Experience building synthetic data, simulation-based cases, or benchmark datasets for healthcare AI.
• Familiarity with primary-care chronic disease management, especially hypertension, diabetes, lipids, CKD risk and medication safety.
• Experience with GPU-based model training, experiment tracking, and deployment-oriented inference optimization. 

Job Summary

About Us

At the Institute of High Performance Computing (IHPC), A*STAR, we drive innovation at the intersection of artificial intelligence and healthcare. Our mission is to build large language models (LLMs), agentic AI and multimodal foundation models that can transform clinical decision support, biomedical discovery, and public health. We are looking for AI (Senior)Scientist strong applied AI skills ready to build large-scale systems, and you will contribute to innovations that make real impact in healthcare.

Key Responsibilities

• Research & DevelopmentDevelop novel architectures, training strategies, and optimization methods for LLMs, agentic AI, vision foundation model and multimodal foundation models.Advance instruction tuning, reinforcement learning (RLHF/GRPO), retrieval-augmented generation (RAG), and knowledge-grounded reasoning in medical AI.Design and implement multimodal learning pipelines that integrate text, imaging, omics, and real-world clinical data.
• Translation & CollaborationPrototype AI systems for clinical and biomedical applications (e.g., decision support, conversational AI, population health, drug discovery).Benchmark models against state-of-the-art healthcare AI datasets and evaluation frameworks.Collaborate with industry and healthcare partners to enable translation, licensing, and commercialization.
• Scientific LeadershipPublish in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, AAAI, ACL) and high-impact biomedical journals (e.g., Nature Medicine).Contribute to open science initiatives (datasets, model releases, benchmarks).Secure funding through collaborative research proposals with academia, healthcare institutions, and industry.

Qualifications

Minimum Qualifications

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
• Strong publication record in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL) or high-impact biomedical journals.
• Deep expertise in LLMs, vision foundation models, or multimodal AI.
• Strong skills in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed/HPC training.

Preferred Qualifications

• Experience in large-scale LLM and/or foundation model training and deployment.
• Experience with medical or biomedical data (EHR, clinical notes, imaging, genomics).
• Familiarity with biomedical ontologies and knowledge graphs (UMLS, SNOMED CT, PubMed).
• Understanding of AI ethics, safety, and regulatory considerations in healthcare.

What We Offer

• Opportunity to push the frontiers of AI research while delivering real-world healthcare impact.
• A multidisciplinary environment with leading AI scientists, clinicians, and industry partners.
• Access to large-scale compute resources and unique biomedical datasets.
• Support for publications, conference participation, and translational pathways including licensing and spin-offs.

Job Summary

About the Role

The Institute of High Performance Computing (IHPC), A*STAR, is seeking a highly motivated Senior Research Scientist to conduct cutting-edge research in Artificial Intelligence and Machine Learning, with a focus on advancing AI-driven scientific discovery across healthcare, life sciences, biology, and biomedical research.

The successful candidate will lead the development of next-generation AI technologies, including foundation models, multimodal learning systems, scientific machine learning, generative AI, and agentic AI systems that accelerate scientific discovery and translate research innovations into real-world impact.

Key Responsibilities

Research & Innovation

• Develop AI models and platforms that accelerate discovery in healthcare, life sciences, and biomedical research.
• Advance foundation models that learn from large-scale biological, clinical, molecular, and scientific datasets.
• Develop AI systems for:
• Multi-omics analysis
• Drug discovery and therapeutic development
• Precision medicine
• Biomarker discovery
• Disease prediction and prognosis
• Scientific knowledge extraction and reasoning
• Build agentic AI systems capable of hypothesis generation, experiment design, scientific reasoning, and autonomous discovery.
• Develop methodologies that integrate experimental data, simulations, scientific literature, and domain knowledge to support scientific decision-making and discovery.

• Collaborate with clinicians, biologists, healthcare researchers, and domain scientists to translate AI innovations into real-world applications.
• Drive the development of reusable AI platforms, foundation models, and scientific discovery systems.
• Contribute to technology transfer, intellectual property generation, and commercialization opportunities.
• Lead collaborations with academic institutions, healthcare organizations, government agencies, and industry partners.

Scientific Leadership

• Publish high-impact research in leading AI, machine learning, healthcare, and scientific journals and conferences.
• Contribute to grant proposals, project planning, and strategic research initiatives.
• Mentor junior researchers, engineers, and students.
• Represent IHPC in collaborations with academic, healthcare, government, and industry partners.

Requirements

Essential

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Computational Biology, Biomedical Engineering, Computer Engineering, or a related discipline.
• Strong track record in AI/ML research demonstrated through publications, patents, or impactful projects.
• Strong programming skills in Python and modern machine learning frameworks such as PyTorch or TensorFlow.
• Experience developing and evaluating machine learning and deep learning models.
• Experience working with large-scale datasets and computational infrastructure.
• Strong interest in applying AI to scientific discovery, healthcare, and life science challenges.

Preferred

• Experience in one or more of the following areas:Foundation Models for ScienceComputational Biology and Multi-OmicsDrug Discovery and Molecular ModelingBiomedical AIPrecision MedicineScientific Knowledge GraphsScientific Reasoning and Agentic AI SystemsHealthcare AI and Clinical Decision SupportGenerative AI for Scientific Discovery

What We Offer

• Opportunity to work on nationally significant AI for Science, Healthcare, and Life Sciences initiatives.
• Access to world-class computational infrastructure, large-scale scientific datasets, and advanced research facilities.
• Collaboration with leading AI researchers, clinicians, scientists, and industry partners.
• A dynamic environment supporting both fundamental AI research and translational impact.
• Opportunities to shape the future of AI-driven scientific discovery and healthcare innovation.