2,333 Research Opportunity jobs in Singapore

We are a cutting-edge research team dedicated to pioneering advancements in peptide screening, DNA/RNA analysis, and protein research.

• Conduct peptide screening utilizing ELISA, bead-based separation, and other innovative techniques.
• Analyze DNA and RNA sequences through primer design, PCR, qPCR, purification methods including spin column, magnetic beads, ethanol precipitation, and phenol chloroform extraction. Additionally, perform electrophoresis using agarose gel and urea-PAGE, as well as NGS (Illumina).
• Examine proteins via SDS-PAGE, western blotting, and ELISA.

• Proficiency in peptide screening methodologies.
• Strong understanding of DNA/RNA analysis techniques.
• Able to operate various laboratory equipment.

We offer a dynamic work environment and opportunities for growth and development.

Associate Director, Scientific Research page is loaded# Associate Director, Scientific Researchlocations:
Singapore - Woodlands - NorthCoasttime type:
Full timeposted on:
Posted Todayjob requisition id:
41342-JOB# At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.# Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.# **Position Summary:**Illumina, a world-leading microarray and next generation sequencing (NGS) company, is seeking an Associate Director to lead the Singapore Assay R&D team. The successful candidate will lead in executing scientific R&D in the field of molecular biology and biochemistry to develop novel, best-in-class multiomics NGS products.The Associate Director will be part of a multi-disciplinary team working to execute the design and development of novel, robust products for Illumina sequencing platforms. They will be a strong technical and strategic contributor to the development of biochemistry and have a successful track record of working collaboratively on projects in a matrixed organization.Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.**Responsibilities:*** Develop and execute strategies focused on business excellence, aligning with the overall goals of the organization and company vision.* Directly manage, guide, coach and develop a team of scientists, managers and other staff to meet project milestones and business objectives.* Oversee day-to-day departmental operations, ensuring efficiency, quality, and compliance with company goals and standards.* Lead or support various projects, including technology transfers, new process implementation and scientific initiatives, often across multiple sites or globally, through ambitious goals and challenging tradeoff decisions while maintaining an energized and motivating work environment.* Liaise effectively and influence peers within departments and across the organization. Build and maintain close relationships with other functional groups in RnD, Process Engineering, Operations, Business Development, Product Management, and QA.* Recommend targets for new capabilities, technologies and initiatives, and drive evaluation and implementation of process improvements and technological integration.* Manage functional spending, budget creation, forecasting, and financial management activities for the department and its programs.* Prioritize, align and adjust resources to ensure success across multiple projects and priorities.All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodation for additional tasks and responsibilities.**Qualifications and Skills:*** Demonstrated ability for strong leadership skills, including ability to lead teams, develop talent, and manage multiple priorities.* Proven ability to assess and organize complex information, solve ambiguous problems, and develop actionable strategies.* Excellent communication skills, including verbal, written and in presentation for effective engagement with diverse stakeholders.* Proven experience in the biotech or pharma industry, with a strong understanding of relevant product development, operational and regulatory landscapes.* Strong collaborative skills and ability to build relationships with global stakeholders.**Experience/Education:*** Requires PhD or equivalent, with a strong foundation in relevant scientific discipline such as Biochemistry, Molecular Biology, Genetics or related fields.* 10+ years of extensive experience in reagent and product development in biotech or pharmaceutical industry.# #
We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact To learn more, visit: The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants.
#J-18808-Ljbffr

The Continental-NTU Corp Lab is a strategic research collaboration between NTU and Continental, focusing on developing technically advanced solutions in the areas such as sustainable materials engineering, artificial intelligence, advanced communications and cybersecurity capabilities for future urban mobility applications. We aim to develop innovative solutions that can be commercialized into products and services for Continental through close collaboration with its business units.

In this job opening, we are seeking a highly motivated and visionary researcher to join our team focused on heterogeneous integration and security of chiplet-based IC systems. This role involves research and development in AI-assisted design for chiplet-oriented architectures, aiming to demonstrate secure intelligent computing platforms outperforms traditional compute platforms. We invite applicants to join us as a Research Fellow or Senior Researcher (full-time). You will be part of the Continental-NTU Corporate Lab research team.

Key Responsibilities:

• Research and develop AI-assisted EDA methodologies for IC and heterogeneous chiplet design, security and cryptographic primitive integration, and architecture optimization.
• Focus on AI-assisted secure IC design, with domain adapted LLM, ML in front-end design, simulation tools for chiplet-based/oriented prototypes
• Investigate and apply AI principles for IC design, RTL synthesis, partitioning, and verification automation.
• Integrate open-source and commercial tools (e.g., SpinalHDL) to build proof-of-concept design flows
• Building data pipelines for learning and knowledge acquisition, knowledge augmentation for domain adapted LLM and knowledge management
• Design AI-guided decision-making pipelines to assist in security-aware architecture generation and vulnerability mitigation (e.g., hardware trojans, side-channel exposure).
• Co-develop testbenches for hardware simulations and chiplet-level threat modelling.
• Collaborate closely with FPGA and IC prototyping teams to deploy AI-optimized designs on hardware.
• Publish research outcomes with the team in leading conferences and journals in AI, EDA, and hardware security.
• Contribute to white papers and strategic planning documents for long-term roadmap development.

Job Requirements:

• MSc or PhD in Electrical Engineering, Electronics Engineering, AI, Chip Design, Computer Science, Cybersecurity, or a related field
• Proven experience with HW/SW Co-Design, FPGA development and hardware prototyping
• Strong understanding of digital design principles and embedded systems
• Experience with EDA tools, chip design flows and IC system modeling.
• Proven expertise in AI/ML for systems or hardware co-design, including use of reinforcement learning, LLMs, graph-based optimization, or agentic AI.
• Familiarity with security concepts and cryptographic implementations in IC/SoC design, e.g., post-quantum primitives and hardware implementations, TEE/RoT.
• Track record of research publications in top-tier venues is strongly preferred.
• Strong analytical and problem-solving abilities
• Demonstrated ability to work across interdisciplinary and diverse teams, ideally with experience in project planning and management
• Excellent collaborative and communication skills in English for research purposes
• Good communication and presentation skills, fluency in multiple languages is a plus

We regret that only shortlisted candidates will be notified.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world's largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view:

We are hiring a Research Associate/Research Fellow in electric power & energy systems to perform research in the area of modern power grids bordering on the topics like power electronics, energy storage, energy efficiency. The Research Associate/Research Fellow is also expected to support teaching activities as required by the school. We are looking for someone with experience in power engineering and a strong mathematical background.

Key Responsibilities:

• Develop new methods for power systems control.
• Develop data-driven methods for application in power & energy systems
• Assist in preparation of teaching materials for electric power related courses
• Prepare report and conduct presentation at seminars.
• Assist the school in various teaching activities, including instructing or supervision of labs and tutorials.

Job Requirements:

• PhD (Research Fellow), MEng/MSc (Research Associate) in Electrical Engineering, Computer Science, Statistics, or other related fields.
• Solid Mathematical skills.
• Experience in one of the programming language – Python, Matlab, Julia.

• Understanding of one or more of the following areas would be an advantage

• Optimization

• Dynamic systems
• Control theory
• Power electronics
• Signal processing
• Machine learning and data science (various subfields, including AI)
• Good written and oral communication skills.

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

Established in 2010, the Energy Research Institute @ NTU () is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

For more details, please view

We are looking for a Research Associate/Research Fellow to work on the project titled "Toward Cognitive Digital Twin as A Unified Platform for Smart Cities: Governance, Sustainability and Applications", in collaboration with ITB, Bandung, Indonesia under the INSPIRASI program. The role will focus on developing machine learning and mathematical optimization solutions for electric vehicle fleet charging optimization under different constraints.

Key Responsibilities:

• Formulate and develop machine learning and mathematical optimization solutions for electric vehicle (EV) fleet charging scheduling problems with considerations of various smart power grids, battery degradation, and infrastructure level constraints.
• Conduct and coordinate research within NTU and collaborating partners in line with its research strategy.
• Publish research outcomes in journals of international standing; Attend and present research findings and papers at academic meetings.
• Collaborate closely with our partner ITB to apply solutions in a local context, using data available with ITB.
• Assist ITB in the development of their digital twin platform by integrating the solutions developed in NTU into their platform.

Job Requirements:

• Masters in Computer Science, Electrical Engineering or related field (for Research Associate)
• PhD in smart grids, energy management, or mathematical optimizations (for Research Fellow). The candidates who have submitted the thesis are also encouraged to apply.
• Background in the application of machine learning and mathematical optimization techniques, including reinforcement learning
• Proven publication track record in similar domains for Research Fellow position
• Proficiency in written and spoken English for research work.
• Interpersonal skill (e.g. Ability to work independently / develop solutions under strict timelines, meticulous
• and eye for details / excellent organizational / time management skills)
• Desirable: Background in the modeling of energy management systems (e.g., buildings, batteries, smart grids, vehicle-to-grid, etc.).

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

Job Description

Duke-NUS Medical School (Duke-NUS) was established through a landmark collaboration between two world-class institutions; Duke University and National University of Singapore, with the objective of providing innovative education and impactful research that enhance the practice of medicine in Singapore and beyond.

The Centre of Regulatory Excellence (CoRE) was established at Duke-NUS in 2014 with the mission of forming regional platforms and networks to grow competencies, build capacity and promote thought leadership in regulatory science and health policy in the Asia Pacific, with a focus on South-East Asia.

CoRE has established a strong and highly regarded education portfolio for industry professionals and regulators. The Centre also enables thought leadership and policy innovation in areas of health products regulation, and its expanded scope now includes issues related to global health, health policies and health system strengthening. Its key focus areas are digital health, vaccines & pandemic preparedness, advanced and innovative therapeutics, innovative clinical trials, and medical devices.

In 2023, Enterprise Singapore (EnterpriseSG) appointed CoRE to establish and lead the Standards Development Organisation (SDO) supporting the Biomedical and Health Standards Committee. CoRE is seeking a dedicated and experienced Scientific Officer to support the technical and operational functions of SDO. The successful candidate will play a key role in advancing national objectives related to the development and implementation of health product manufacturing standards, with the following key responsibilities:

• Identify industry needs and emerging trends for standard development in medical devices and quality management systems, aligned with Singapore Standards Council's objectives.
• Support the development and promotion of national and international standards in collaboration with industry partners.
• Review existing standards with stakeholders to ensure continued relevance and accuracy.
• Drive stakeholder engagement for standard adoption through events such as launches, conferences, and workshops.
• Support the administration and coordination of technical committees and working groups.

Qualifications

• Master's degree or MD/MBBS with at least 2 years' relevant work experience in healthcare regulation or medical devices quality management.
• Relevant work experience in health product regulation, medical devices, quality management systems, or standards development is preferred.
• Familiarity with digital health and the Singapore's healthcare innovation ecosystem.
• Strong project management and coordination skills.
• Excellent communicator – Written, Spoken and Presenting
• Highly organised, detail-oriented with strong interpersonal skills
• Adaptable and able to effectively multi-task and perform well under pressure, both independently and as part of a team, in a fast-paced and evolving environment.
• Demonstrates discretion, intellectual agility, and sensitivity to stakeholder dynamics

We regret that only shortlisted candidates will be notified.

Overview
National University of Singapore – Central Singapore
Duke-NUS Medical School (Duke-NUS) was established through a landmark collaboration between Duke University and National University of Singapore, with the objective of providing innovative education and impactful research that enhance the practice of medicine in Singapore and beyond.
The Centre of Regulatory Excellence (CoRE) was established at Duke-NUS in 2014 with the mission of forming regional platforms and networks to grow competencies, build capacity and promote thought leadership in regulatory science and health policy in the Asia Pacific, with a focus on South-East Asia.
CoRE has established a strong and highly regarded education portfolio for industry professionals and regulators. The Centre also enables thought leadership and policy innovation in areas of health products regulation, and its expanded scope now includes issues related to global health, health policies and health system strengthening. Its key focus areas are digital health, vaccines & pandemic preparedness, advanced and innovative therapeutics, innovative clinical trials, and medical devices.
In 2023, Enterprise Singapore (EnterpriseSG) appointed CoRE to establish and lead the Standards Development Organisation (SDO) supporting the Biomedical and Health Standards Committee. CoRE is seeking a dedicated and experienced Scientific Officer to support the technical and operational functions of SDO. The successful candidate will play a key role in advancing national objectives related to the development and implementation of health product manufacturing standards, with the following key responsibilities:
Responsibilities
Identify industry needs and emerging trends for standard development in medical devices and quality management systems, aligned with Singapore Standards Council’s objectives.
Support the development and promotion of national and international standards in collaboration with industry partners.
Review existing standards with stakeholders to ensure continued relevance and accuracy.
Drive stakeholder engagement for standard adoption through events such as launches, conferences, and workshops.
Support the administration and coordination of technical committees and working groups.
Qualifications
Master’s degree or MD/MBBS with at least 2 years’ relevant work experience in healthcare regulation or medical devices quality management.
Relevant work experience in health product regulation, medical devices, quality management systems, or standards development is preferred.
Familiarity with digital health and the Singapore’s healthcare innovation ecosystem.
Strong project management and coordination skills.
Excellent communicator – Written, Spoken and Presenting
Highly organised, detail-oriented with strong interpersonal skills
Adaptable and able to effectively multi-task and perform well under pressure, both independently and as part of a team, in a fast-paced and evolving environment.
Demonstrates discretion, intellectual agility, and sensitivity to stakeholder dynamics
We regret that only shortlisted candidates will be notified.
Be careful - Don’t provide your bank or credit card details when applying for jobs. Don't transfer any money or complete suspicious online surveys. If you see something suspicious, report this job ad.
#J-18808-Ljbffr

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

The Yong Loo Lin School of Medicine (NUS) is recruiting a full-time Senior Research Fellow/ Research Fellow (1 year contract, renewable)

Purpose of the post

The National University of Singapore invites applications for Senior Research Fellow/ Research Fellow ( for the Metabolic Liver Disease Lab in the Department of Medicine, Yong Loo Lin School of Medicine. This role explores functional genomic methods to understand better the molecular mechanisms of metabolic dysfunction-associated fatty liver disease (MAFLD). The Post Doc Scientist will have the opportunity to collaborate with various teams across the School of Medicine, including pathologists, hepatologists, and data scientists. The candidate should demonstrate technical experimental excellence as well as the capacity to lead the research team regarding research projects aimed at producing clinically translational applications.

Job Description

• Assist PI incoordinating and leading multiple wet lab projects, proposing research directions and meeting key project milestones.
• Assist PI to facilitate research team development, optimization, and validation of in vitro mammalian cell based assays that are related to metabolic diseases (such us cell culture, RNA/protein extraction qPCR, western blotting and other metabolic-related assays)
• To perform other related duties, incidental to the work described herein (such as conduct data analysis, ensure the validity and reliability of data, maintain accurate and complete records of all findings, present findings to colleagues)
• Assist PI with writing for ethics/grant application.
• Assist PI with organising and publishing findings in high impact academic journals of good reputation.

Qualifications

• • A PhD with 3 years relevant post-doctoral experience.
• Understanding of the molecular/cellular basis of MAFLD, obesity and T2D, e.g., lipid metabolism dysregulation, insulin resistance, inflammatory pathways) are desired.
• Experience in handling 2D and 3D cell cultures such as hepatocytes, adipocytes or skeletal muscle cells is essential.
• Molecular Biology skills (RNA/protein extraction, qPCR, western blotting, IF) is essential.
• Cell line and clinical data multi-omics familiarity (e.g. transcriptomics, proteomics analysis) is a strong plus.
• Experience with gene perturbation tools, such as siRNA, shRNA and CRISPR/Cas9 is a strong plus.
• Experience working with murine models is a strong plus.
• Excellent writing, communication and presentation skills in English.
• Highly organized and skills in working independently and creatively to solve experimental problems within time constraints.
• Ability to oversee research directions for multiple projects and work in a multidisciplinary team.

Applicants should send the following documents by email to and please mention "Application for Senior Research Fellow -Metabolic Liver Disease Lab" in your email subject

Cover letter highlighting relevant experience and career goals

Curriculum Vitae, containing details of three named referees

A complete NUS Personal Data Consent for Job Applicants (the form is available at NUS Personal Data Consent for Job Applicants)

More Information

Location: Kent Ridge Campus

Organization: Yong Loo Lin School of Medicine

Department : Medicine

Employee Referral Eligible: No

Job requisition ID : 30593

Senior Research Fellow/Research Fellow (Computational Sciences/Aerospace Engineering/Operations Research)

The Air Traffic Management Research Institute (ATMRI) is seeking to hire a Senior Research Fellow / Research Fellow to develop artificial intelligence methods and machine learned models to improve the performance, reliability and safety of air traffic system's operations in the face of increasing demand for air travel and inherent uncertainties (for e.g. weather and delays) in the air traffic management (ATM) system.

Key Responsibilities:

• Conduct research in artificial intelligence methods and machine learned models.
• Collect and analyze air traffic data related to the project.
• Develop optimization algorithm and models for air traffic management.
• Run simulations and perform visualization and data analysis.
• Develop prototypes and intelligent tools for air traffic flow management.
• Assist Principal Investigator with project management and lead/mentor research team.
• Communicate and collaborate effectively with industrial and academic partners.

Job Requirements:

• PhD degree in Computational Sciences/aerospace engineering/Operations Research/related field.
• A minimum of 2 years of post-doc experience in the domain of Air Traffic Management.
• Strong publication record in top journals (SCI Q1) and peer-reviewed ATM conferences.
• Strong theoretical background in machine learning, computational intelligence and optimization
• Strong programming skills in Python, C++, MATLAB
• Excellent English writing and communication skills
• Able to work independently and be a team player.
• Able to multitask between project and research tasks.

We regret that only shortlisted candidates will be notified.