326 Research jobs in Malaysia

Position Overview We are seeking a passionate and highly skilled

Computational Research Scientist

specializing in

deep learning

to join our R&D team. This role will focus on developing and applying advanced AI and machine learning methods to solve biological problems, with an emphasis on enzyme optimization, metabolic engineering, and bio-process innovation. The successful candidate will collaborate closely with biologists, engineers, and data scientists to accelerate the design and production of sustainable bio-alternatives.

Key Responsibilities Design, develop, and deploy deep learning models for predicting and optimizing enzymes, proteins, and metabolic pathways in microbial and cellular systems.

Conduct computational modeling and simulations of metabolic networks to identify critical control points and engineering targets.

Build robust data pipelines to integrate diverse biological datasets and enable scalable model training and evaluation.

Present technical findings clearly to interdisciplinary teams through reports, presentations, and collaborative discussions.

Stay current with advances in AI, synthetic biology, and computational methods to drive innovation at ThinkBio.Ai.

Required Qualifications Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a related field with a focus on deep learning applications.

Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or similar.

Proficiency in programming languages including Python (preferred), R, or MATLAB.

Strong written and verbal communication skills.

Proven ability to work independently and collaboratively in a dynamic research environment.

Preferred Qualifications Knowledge of metabolic engineering, synthetic biology, or systems biology concepts.

Familiarity with metabolic flux analysis and constraint-based modeling techniques (e.g., Flux Balance Analysis, COBRA Toolbox).

Experience with protein structure prediction and modeling.

Background in industrial biotechnology or experience working in start-up environments.

Desired Working Style Exceptionally organized with the ability to manage multiple projects and priorities simultaneously.

Quick learner with a proactive, inquisitive mindset.

Adaptable and comfortable with evolving roles and responsibilities typical in start-ups.

Strong collaborator with excellent interpersonal and communication skills.

Commitment to high standards of scientific integrity and professional ethics.

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Job description:

The successful candidate will be responsible for the design and simulation, fabrication and characterization of nonlinear metadevices to enhance the efficiency of quantum light sources.

Job Requirement:

• PhD in applied physics, optics and photonics, electrical engineering or materials science.
• Hands-on experiences in nonlinear metasurfaces are needed (design and simulation, nanofabrication and characterization);
• Skills in van der Waals structures fabrication (exfoliation, transfer, twist and stacking) are advantages;
• Skills in nonlinear optics measurement (SHG and THG) and optical setup are advantages;
• Skills in optoelectronic photodetector development and measurement are advantages;
• Good team player, self-motivated, ability to carry out independent research, and persistence in solving technology challenges;
• Proven track record of high-quality scientific publications.

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.

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Job description: The successful candidate will be responsible for the design and simulation, fabrication and characterization of nonlinear metadevices to enhance the efficiency of quantum light sources. Job Requirement: PhD in applied physics, optics and photonics, electrical engineering or materials science. Hands-on experiences in nonlinear metasurfaces are needed (design and simulation, nanofabrication and characterization); Skills in van der Waals structures fabrication (exfoliation, transfer, twist and stacking) are advantages; Skills in nonlinear optics measurement (SHG and THG) and optical setup are advantages; Skills in optoelectronic photodetector development and measurement are advantages; Good team player, self-motivated, ability to carry out independent research, and persistence in solving technology challenges; Proven track record of high-quality scientific publications. 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.

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Interested applicants are invited to apply directly at the

NUS Career Portal Your application will be processed only if you apply via

NUS Career Portal We regret that only shortlisted candidates will be notified. Job Description

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 successful completion of the ongoing project “Unraveled the mechanism of selective targeting mutant KRAS driven pancreatic cancer” on time. The RA’s principal role will be to work with mentor to complete the manuscript for publication. Main duties and responsibilities The Research Assistant will liaise with the senior lab members of the lab with following things: Help to do the experiments to complete the project and write the manuscript; Help in general lab management; Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures; Assist with any other duties of a similar nature that are delegated by the PI. Qualifications

Have a first degree with good results or holds a Bachelor or Master’s degree in Life Science be able to work independently and in a team, have an investigative nature, attention to detail; have knowledge of computer applications, e.g. SPSS, MS office, PowerPoint; have experiences in research 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.

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AI Research Scientist (Medical Imaging) Digital Health Unit

We are seeking a highly motivated and creative

AI Research Scientist

to lead the development and improvement of AI models focused on

oral lesion detection

as part of the MeMoSA (Mobile Mouth Screening Anywhere) project. This role is pivotal in advancing our institution’s work in medical AI and setting the foundation for building a dedicated in-house AI research team in the long term. The candidate is expected to be able to work independently but will receive support from our established collaborators from Malaysia and the UK. SCOPE / PURPOSE OF JOB Short-Term Objectives (Year 1–2): Improve and optimize existing oral lesion detection AI models using the latest deep learning and computer vision techniques Develop novel,

bias-aware ,

transparent , and

explainable

AI approaches to improve clinical trust and applicability. Collaborate with dental and medical experts to ensure clinical relevance and data validity. Conduct experiments, analyze model performance, and produce high-quality technical documentation and research papers. Manage data pre-processing pipelines, annotation quality checks, and model evaluation metrics. Long-Term Objectives: Support the recruitment and mentoring of junior researchers or AI engineers as we build an internal AI team. Propose and lead new AI research projects in healthcare beyond oral lesion detection (e.g., predictive analytics, other imaging modalities, NLP for healthcare records). Contribute to the design of a scalable AI research infrastructure within the institution. Qualifications PhD or Master’s degree in

Computer Science ,

Artificial Intelligence ,

Machine Learning ,

Biomedical Engineering , or related fields. Experience: Minimum

2–3 years of hands-on experience

in deep learning, preferably in

medical imaging

(experience with oral or dental images is a plus). Strong understanding of

model fairness ,

bias mitigation ,

explainability (XAI) , and

ethical AI . Proficiency with deep learning frameworks such as

PyTorch

or

TensorFlow . Familiarity with tools and libraries for interpretability (e.g., SHAP, LIME, Grad-CAM). Track record of publications in reputable AI or medical imaging conferences/journals is highly desirable. Experience in leading small research or development projects is a plus. Preferred Qualities Creative and independent thinker who can bring new ideas to the table. Passion for responsible AI development and real-world healthcare applications. Strong communication skills and the ability to work cross-functionally with clinicians, researchers, and software teams. Why Join Us? Be at the forefront of AI innovation in healthcare with real clinical impact. Opportunity to shape the future of an in-house AI research unit. Work closely with a diverse team of clinicians, researchers, and institutional leaders. Access to rich clinical datasets and institutional support for high-impact research. We are an independent and non-profit cancer research organisation based in Malaysia. Funded by donations and research grants, we conduct research in niche cancers often found in our Asian population. Cancer — the big ‘C’ — continues to be a stigma, only spoken about in hushed whispers; how it’s bad karma, how much it costs, and that nothing could be done. Confronting this stigma head on, CRM has been reversing this language of cancer, transforming the big ‘C’ to a little ‘c’, and we plan to develop tools backed by good research to ensure that we can truly fight cancer on all fronts. We believe that we will reverse the grip of cancer in our lives. We want researchers to win the war against cancer by turning it around with new ways of prevention and cure. We want to empower the public through impactful outreach programmes, with the hopes that Malaysians will respond differently to cancer by coming forward for screenings and going through with treatments. Our driving force is held together by these goals: Improving the survival rates of Asian cancer patients, focusing on neglected areas of research. Empowering Asians to have the proper screening and treatment. Improving survival rates by being more accessible, focusing on providing existing cures to patients rather than sit on inaction and potentially losing lives. Making affordable and timely treatments by repurposing drugs, acknowledging the reality that developing new cures are costly and risky. Putting Malaysia in the global spotlight for cancer research by collaborating with top scientists around the world,and working to nurture the next generation of Malaysian cancer researchers.

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The Centre for Advanced Technologies in Online Safety (CATOS; was established in 2023 to host Singapore's Online Trust and Safety (OTS) Programme, a national research programme that leads the advancement of whole-of-nation technology capabilities to monitor and tackle online harms. The Systems Engineering Pillar of CATOS focuses on translational research and development, including evaluating, testing and integrating research output into needle-moving applications. One of the major outcomes will be a technological platform with an integrated suite of deep tech OTS engines, which analyses various internet sites and platforms for fast-trending harmful online content, such as non-factual claims, deepfakes, and hateful and toxic content. Different combinations of OTS engines can then be integrated and adapted to address the specific requirements of various stakeholders. This role will be responsible for systematically evaluating AI models and datasets to understand the strengths and weaknesses of existing tools in this field and identify ways to adapt promising tools to their intended applications. The work will create valuable knowledge to inform end-users and technology researchers, helping to ensure that the technologies from CATOS and its partners are of desirable performance and robustness for the intended use cases and applications.

The candidate will assume the following roles and responsibilities: As a Research Scientist, contribute to the evaluation of emerging technologies and data underneath the technologies, which often require hands-on tech skills and data analytic / data science capabilities. Actively review relevant tech landscape from both academics and industry, construct datasets, perform evaluation, generate reports, and communicate the methodology, findings, and key takeaways. Collaborate with senior team members, stakeholders and cross-functional teams to incorporate requirements that may come from the evolving nature of the landscape. Contribute to key CATOS events that are aimed at engaging the researchers, industry, public agencies, NGOs and the general public. JOB REQUIREMENT: A PhD degree in Computer Science / Information Technology / Computer Engineering / Information Systems / Computational Social Science / Societal Computing / Human Computer Interaction or equivalent. A compelling scientific publications track record and demonstrable independent research capabilities. Hands-on experience in using machine learning, deep learning frameworks and models, especially expertise in Natural Language Processing, Computer Vision, Data Visualization, and Human-Computer Interaction. Proficient with programming languages. (e.g., Python, Java, C/C++, MATLAB) Experience and expertise in (Multi-Modal) Large Language Models are especially valued. Cross-disciplinary research experiences are especially valued, especially those related to online trust and safety. Good communication and interpersonal skills for working in a multicultural work environment. Candidates with no experience may apply. Our research and engineering work is highly interdisciplinary, agile, and pragmatic in nature. We expect everyone to take ownership of their role, responsibilities, and tasks. We encourage everyone to speak upwhen they have feedback or ideas for improvement. We provide honest feedback to one another, which can be tough at times, but it fosters rapid learning. We careabout each other'sprofessional growth and well-being. When applying, please share at least two representative research projects or publications that you have developed independently or contributed to significantly.

Please note that only shortlisted candidates will be notified. 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.

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In 2023, Enterprise Singapore (EnterpriseSG) has appointed the Centre of Regulatory Excellence (CoRE) in Duke-NUS Medical School to set up and lead the new Standards Development Organisation (SDO) supporting the Biomedical and Health Standards Committee. CoRE-SDO is hiring a Research Assistant (Senior) to provide technical and operational support in the Precision Medicine domain.

The job responsibilities will include but not limited to the following:

• Identify emerging domains in Precision Medicine for standard development in line with the goals of the Singapore Standard Council.
• Conduct research and analysis of the international standardisation landscape in Precision Medicine.
• Convene and coordinate focus groups or working groups comprising domain experts to identify standardisation gaps.
• Contribute to the development and promotion of national and international standards in collaboration with industry stakeholders.
• Review existing standards with industry partners to ensure continued accuracy, relevance, and alignment with local needs.
• Drive stakeholder engagement to facilitate the adoption and implementation of standards, including planning and managing events such as launches, workshops, and conferences.
• Provide administrative and operational support to technical committees and working groups.
• Support Singapore’s participation in international standardisation activities, including global meetings, study missions, and working groups.
• Undertake other duties as assigned by the supervisor to support SDO operations and other related duties incidental to the work described therein.

Job Requirements

• Master’s Degree or equivalent in Precision Medicine, Biotechnology, or Life Sciences/Biomedical Sciences.
• Strong knowledge of molecular biology, genomics, bioinformatics, and relevant clinical applications.
• Prior experience in project management, planning, and coordination would be advantageous.
• Excellent research and analytical skills, with the ability to present findings clearly in both written and verbal formats.
• Highly organised, detail-oriented, and able to work independently with minimal supervision.
• Proven ability to manage multiple tasks and meet deadlines in a fast-paced environment.
• Have strong interpersonal and communication skills, with the ability to work collaboratively in cross-functional teams.

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Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

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

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 based on Yb-Ba ions. 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 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 with leading academic and industrial groups within and outside the country. The team members will work to develop software that controls the next generation of the ion trap quantum processor. This includes control of experimental hardware by a computer, automation of routine experimental tasks, etc.

Job Requirements

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

• A Bachelor or Master degree in computer science, electrical engineering, physics or related areas;
• At least 1-2 years of experience in software development in the R&D environment is preferred;
• Hands- on experience in one of the following areas and desire to cross the boundaries and learn new things
• Embedded software development for the FPGA / CPU SoC systems (for example, Zynq 7000, Zynq UltraScale+ RFSoC, Altera Cyclone SoC);
• Good knowledge of C/C++ and familiarity with Verilog/VHDL HDL and communication between FPGA and CPU cores.
• The experiment control and automation of routine experimental tasks.
• Experience with Python programming in the experimental lab environment and for scientific applications. Familiarity with the quantum toolboxes such as Qiskit or QIBO and ability to integrate them into the experimental control system is a plus.

The successful candidate will be involved in all stages of the development cycle: collaborate with team members to define technical requirements, design, test and integrate the software into the final product.

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Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Mechanobiology Institute (MBI) at the National University of Singapore (NUS) is a leading multi-disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell, tissue and organ mechanics/dynamics and mechano-signal transduction. The institute operates on a fully integrated open-lab philosophy, with an extensive infrastructure supported by core facilities dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing.

We are inviting applications for a Research Assistant to support ongoing research in the area of cell mechanics and mechanobiology in research group of Prof. Lim Chwee Teck. The successful candidate will work closely with a multidisciplinary team to investigate how mechanical forces influence cellular behavior, with applications in cancer biology, tissue engineering, and regenerative medicine. The selected candidate's key responsibilities will include:

• Assisting in the design and execution of experiments related to cellular biomechanics, including traction force microscopy, micropatterning, and live-cell imaging
• Supporting day-to-day lab operations, including equipment maintenance, reagent preparation, and inventory management
• Ensuring adherence to lab safety protocols and regulatory compliance
• Analyzing experimental data using standard tools (e.g., MATLAB, ImageJ, Excel) and assist in preparing research reports and documentation
• Working collaboratively with researchers, graduate students, and external partners to support project goals

Qualifications

• Bachelor’s degree in Biomedical Engineering, Mechanical Engineering, or a related discipline
• Master’s degree in Engineering, Science, or a related field is also welcomed
• Experience with cell culture techniques, microscopy, and mechanical testing methods is advantageous
• Familiarity with data analysis tools (e.g., Excel, MATLAB, or Python) and an interest in using generative AI tools for research support
• Strong organizational, communication, and teamwork skills
• Demonstrated ability to multitask and manage responsibilities effectively in a research environment

Salary and benefits are commensurable to educational qualifications and working experience of the candidates.

To Apply

Applicants should upload their cover letter, CV and the contacts of three references with their online application. Enquiries about this position can be sent via email to Prof. Lim Chwee Teck at . We regret that only shortlisted candidates will be notified.

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