338 Postdoctoral Research jobs in Singapore

A postdoctoral research fellow position (junior postdoc / senior postdoc) is available in the Breitling group in the Bioinformatics Institute (BII), A*STAR, Singapore in the area of Artificial Intelligence (AI) and Machine Learning (ML) for Metabolic modelling for biotechnology chassis optimisation .

In the Breitling group, we believe that computational approaches can make a real difference for scientific progress in the life sciences. We are committed to academic excellence and have created tools, such as antiSMASH, ipaPy2, RankProd and Selenzyme, that are used by thousands of researchers in academia and industry world-wide. We value curiosity, creativity and innovation, and support the intellectual growth and career development of our team members. Alumni of the Breitling group have moved on to build their own start-up companies and have joined the faculty of major universities.

The successful candidate will be part of an interdisciplinary team working on the development of computational tools to support the Design–Build–Test–Learn cycle of synthetic biology, in close collaboration with the team of experimental scientists at A*STAR’s newly established Singapore Integrative Biosystems & Engineering Research Strategic Research and Translational Thrust (SIBER SRTT).

Job Descriptions:

• Develop and validate novel AI and ML models and methods for Metabolic modelling for biotechnology chassis optimisation.
• Apply these and other state-of-the-art computational tools to inform, guide and support the work of experimental biologists and biosystems engineers.
• Work closely with the other members of the computational synthetic biology team in BII, as well as with the team of experimental biologists at SIBER SRTT, to realise the shared mission of driving synthetic biology advances towards industrial implementation.
• Present findings at seminars, meetings and national / international conferences.
• Write manuscripts for publication in high-impact scientific journals.
• Prepare high-quality software for use by the wider community of researchers.
• Apply proactively for individual research grants as part of career development and contribute to the writing of larger grant applications.
• Build and maintain strong relationships with the local and international research network.

Requirements:

• PhD in Computer Science, Bioinformatics, Computational Biology, Biochemistry, Biotechnology, Chemical Engineering, Microbiology or a related field with at least 5 years relevant experience.
• Excellent coding and software development skills, including proficiency in Python and R programming.
• Familiarity with state-of-the-art computational tools, methodology and data formats relevant for computational biology and bioengineering, with a special focus on molecular biology and metabolic engineering.
• Passion for joining a growing and dynamic group of researchers and a demonstrated ability to work independently as well as collaboratively and efficiently in an interdisciplinary team.
• Desire to work closely with experimental biologists to develop tools to drive the new green revolution towards decarbonisation and sustainable chemical production.
• Track record of peer-reviewed scientific publications in internationally recognised journals.
• Excellent communication skills both written and spoken, especially for the preparation of scientific manuscripts and reports.
• A strong interest in the translational and applied aspects of research, including collaborations with industrial partners.

Preferred Skills:

Whether you are an experienced bioinformatician excited about the possibilities of artificial intelligence, or a biology-curious machine learning expert looking for new exciting applications across disciplines, we want to hear from you. A strong willingness to learn and develop new skills is highly preferred. We will be looking for candidates with any of the following qualities:

• Experience with the application of AI/ML tools for the automated parameterisation of genome-scale metabolic models and the generation of AI virtual cells.
• Familiarity with the tools and concepts of constraint-based metabolic modelling, including resource-constrained models, metabolic network reconstruction and metabolic flux analysis.
• Deep understanding of the methodology, aims and concepts of microbial strain engineering for biotechnology.
• Strong background in AI/ML modelling, statistics, and data analysis and visualization, preferably including practical experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Extensive domain knowledge in (bio)chemistry, molecular biology, microbiology and the concepts of synthetic biology / engineering biology.
• Familiarity with the techniques of agentic AI.

We offer:

• A nurturing, supportive and stimulating environment with close mentorship to develop your scientific career and shape the future of synthetic biology through innovative computational approaches.
• An opportunity to work closely with an ambitious team of experimental biologists at the forefront of advances in synthetic biology.
• Access to state-of-the-art technologies, scientific resources, core facilities and infrastructure housed within A*STAR to facilitate your research work.
• Access to collaborations with industrial partners to translate research findings to commercial applications and societal impact.
• We welcome applicants from all background.

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.

A postdoctoral research fellow position (junior postdoc / senior postdoc) is available in the Breitling group in the Bioinformatics Institute (BII), A*STAR, Singapore in the area of Artificial Intelligence (AI) and Machine Learning (ML) for Metabolic modelling for biotechnology chassis optimisation .

In the Breitling group, we believe that computational approaches can make a real difference for scientific progress in the life sciences. We are committed to academic excellence and have created tools, such as antiSMASH, ipaPy2, RankProd and Selenzyme, that are used by thousands of researchers in academia and industry world-wide. We value curiosity, creativity and innovation, and support the intellectual growth and career development of our team members. Alumni of the Breitling group have moved on to build their own start-up companies and have joined the faculty of major universities.

The successful candidate will be part of an interdisciplinary team working on the development of computational tools to support the Design–Build–Test–Learn cycle of synthetic biology, in close collaboration with the team of experimental scientists at A*STAR’s newly established Singapore Integrative Biosystems & Engineering Research Strategic Research and Translational Thrust (SIBER SRTT).

Job Descriptions:

• Develop and validate novel AI and ML models and methods for Metabolic modelling for biotechnology chassis optimisation.
• Apply these and other state-of-the-art computational tools to inform, guide and support the work of experimental biologists and biosystems engineers.
• Work closely with the other members of the computational synthetic biology team in BII, as well as with the team of experimental biologists at SIBER SRTT, to realise the shared mission of driving synthetic biology advances towards industrial implementation.
• Present findings at seminars, meetings and national / international conferences.
• Write manuscripts for publication in high-impact scientific journals.
• Prepare high-quality software for use by the wider community of researchers.
• Apply proactively for individual research grants as part of career development and contribute to the writing of larger grant applications.
• Build and maintain strong relationships with the local and international research network.

Requirements:

• PhD in Computer Science, Bioinformatics, Computational Biology, Biochemistry, Biotechnology, Chemical Engineering, Microbiology or a related field.
• Excellent coding and software development skills, including proficiency in Python and R programming.
• Familiarity with state-of-the-art computational tools, methodology and data formats relevant for computational biology and bioengineering, with a special focus on molecular biology and metabolic engineering.
• Passion for joining a growing and dynamic group of researchers and a demonstrated ability to work independently as well as collaboratively and efficiently in an interdisciplinary team.
• Desire to work closely with experimental biologists to develop tools to drive the new green revolution towards decarbonisation and sustainable chemical production.
• Track record of peer-reviewed scientific publications in internationally recognised journals.
• Excellent communication skills both written and spoken, especially for the preparation of scientific manuscripts and reports.
• A strong interest in the translational and applied aspects of research, including collaborations with industrial partners.

Preferred Skills:

Whether you are an experienced bioinformatician excited about the possibilities of artificial intelligence, or a biology-curious machine learning expert looking for new exciting applications across disciplines, we want to hear from you. A strong willingness to learn and develop new skills is highly preferred. We will be looking for candidates with any of the following qualities:

• Experience with the application of AI/ML tools for the automated parameterisation of genome-scale metabolic models and the generation of AI virtual cells.
• Familiarity with the tools and concepts of constraint-based metabolic modelling, including resource-constrained models, metabolic network reconstruction and metabolic flux analysis.
• Deep understanding of the methodology, aims and concepts of microbial strain engineering for biotechnology.
• Strong background in AI/ML modelling, statistics, and data analysis and visualization, preferably including practical experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Extensive domain knowledge in (bio)chemistry, molecular biology, microbiology and the concepts of synthetic biology / engineering biology.
• Familiarity with the techniques of agentic AI.

We offer:

• A nurturing, supportive and stimulating environment with close mentorship to develop your scientific career and shape the future of synthetic biology through innovative computational approaches.
• An opportunity to work closely with an ambitious team of experimental biologists at the forefront of advances in synthetic biology.
• Access to state-of-the-art technologies, scientific resources, core facilities and infrastructure housed within A*STAR to facilitate your research work.
• Access to collaborations with industrial partners to translate research findings to commercial applications and societal impact.
• We welcome applicants from all background.

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.

A postdoctoral research fellow position (junior postdoc / senior postdoc) is available in the Breitling group in the Bioinformatics Institute (BII), A*STAR, Singapore in the area of Artificial Intelligence (AI) and Machine Learning (ML) for Computational biology for metabolomics and natural products research .

In the Breitling group, we believe that computational approaches can make a real difference for scientific progress in the life sciences. We are committed to academic excellence and have created tools, such as antiSMASH, ipaPy2, RankProd and Selenzyme, that are used by thousands of researchers in academia and industry world-wide. We value curiosity, creativity and innovation, and support the intellectual growth and career development of our team members. Alumni of the Breitling group have moved on to build their own start-up companies and have joined the faculty of major universities.

The successful candidate will be part of an interdisciplinary team working on the development of computational tools to support the Design–Build–Test–Learn cycle of synthetic biology, in close collaboration with the team of experimental scientists at A*STAR’s newly established Singapore Integrative Biosystems & Engineering Research Strategic Research and Translational Thrust (SIBER SRTT).

Job descriptions:

• Develop and validate novel AI and ML models and methods for Computational biology for metabolomics and natural products research.
• Apply these and other state-of-the-art computational tools to inform, guide and support the work of experimental biologists and biosystems engineers.
• Work closely with the other members of the computational synthetic biology team in BII, as well as with the team of experimental biologists at SIBER SRTT, to realise the shared mission of driving synthetic biology advances towards industrial implementation.
• Present findings at seminars, meetings and national / international conferences.
• Write manuscripts for publication in high-impact scientific journals.
• Prepare high-quality software for use by the wider community of researchers.
• Apply proactively for individual research grants as part of career development and contribute to the writing of larger grant applications.
• Buils and maintain strong relationships with the local and international research network.

Requirements:

• PhD in Computer Science, Bioinformatics, Computational Biology, Biochemistry, Biotechnology, Chemical Engineering, Microbiology or a related field with at least 5 years of relevant experience.
• Excellent coding and software development skills, including proficiency in Python and R programming.
• Familiarity with state-of-the-art computational tools, methodology and data formats relevant for computational biology and bioengineering, with a special focus on metabolomics and chemoinformatics, molecular biology and metabolic engineering.
• Passion for joining a growing and dynamic group of researchers and a demonstrated ability to work independently as well as collaboratively and efficiently in an interdisciplinary team.
• Desire to work closely with experimental biologists to develop tools to drive the new green revolution towards decarbonisation and sustainable chemical production.
• Track record of peer-reviewed scientific publications in internationally recognised journals.
• Excellent communication skills both spoken and written, especially for the preparation of scientific manuscripts and reports.
• A strong interest in the translational and applied aspects of research, including collaborations with industrial partners.

Preferred Skills:

Whether you are an experienced bioinformatician excited about the possibilities of artificial intelligence, or a biology-curious machine learning expert looking for new exciting applications across disciplines, we want to hear from you. A strong willingness to learn and develop new skills is highly preferred. We will be looking for candidates with any of the following qualities:

• Experience working with chemical language models and familiarity with related bioinformatics / chemoinformatics concepts.
• Experience with the annotation of LC/MS metabolome profiles.
• Strong background in AI/ML modelling, statistics, and data analysis and visualization, preferably including practical experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Extensive domain knowledge in (bio)chemistry, molecular biology, microbiology and the concepts of synthetic biology / engineering biology.
• Familiarity with the techniques of agentic AI.

We offer:

• A nurturing, supportive and stimulating environment with close mentorship to develop your scientific career and shape the future of synthetic biology through innovative computational approaches.
• An opportunity to work closely with an ambitious team of experimental biologists at the forefront of advances in synthetic biology.
• Access to state-of-the-art technologies, scientific resources, core facilities and infrastructure housed within A*STAR to facilitate your research work.
• Access to collaborations with industrial partners to translate research findings to commercial applications and societal impact.
• We welcome applicants from all background.

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.

A postdoctoral research fellow position (junior postdoc / senior postdoc) is available in the Breitling group in the Bioinformatics Institute (BII), A*STAR, Singapore in the area of Artificial Intelligence (AI) and Machine Learning (ML) for Computational biology for metabolomics and natural products research .

In the Breitling group, we believe that computational approaches can make a real difference for scientific progress in the life sciences. We are committed to academic excellence and have created tools, such as antiSMASH, ipaPy2, RankProd and Selenzyme, that are used by thousands of researchers in academia and industry world-wide. We value curiosity, creativity and innovation, and support the intellectual growth and career development of our team members. Alumni of the Breitling group have moved on to build their own start-up companies and have joined the faculty of major universities.

The successful candidate will be part of an interdisciplinary team working on the development of computational tools to support the Design–Build–Test–Learn cycle of synthetic biology, in close collaboration with the team of experimental scientists at A*STAR’s newly established Singapore Integrative Biosystems & Engineering Research Strategic Research and Translational Thrust (SIBER SRTT).

Job descriptions:

• Develop and validate novel AI and ML models and methods for Computational biology for metabolomics and natural products research.
• Apply these and other state-of-the-art computational tools to inform, guide and support the work of experimental biologists and biosystems engineers.
• Work closely with the other members of the computational synthetic biology team in BII, as well as with the team of experimental biologists at SIBER SRTT, to realise the shared mission of driving synthetic biology advances towards industrial implementation.
• Present findings at seminars, meetings and national / international conferences.
• Write manuscripts for publication in high-impact scientific journals.
• Prepare high-quality software for use by the wider community of researchers.
• Apply proactively for individual research grants as part of career development and contribute to the writing of larger grant applications.
• Buils and maintain strong relationships with the local and international research network.

Requirements:

• PhD in Computer Science, Bioinformatics, Computational Biology, Biochemistry, Biotechnology, Chemical Engineering, Microbiology or a related field.
• Excellent coding and software development skills, including proficiency in Python and R programming.
• Familiarity with state-of-the-art computational tools, methodology and data formats relevant for computational biology and bioengineering, with a special focus on metabolomics and chemoinformatics, molecular biology and metabolic engineering.
• Passion for joining a growing and dynamic group of researchers and a demonstrated ability to work independently as well as collaboratively and efficiently in an interdisciplinary team.
• Desire to work closely with experimental biologists to develop tools to drive the new green revolution towards decarbonisation and sustainable chemical production.
• Track record of peer-reviewed scientific publications in internationally recognised journals.
• Excellent communication skills both spoken and written, especially for the preparation of scientific manuscripts and reports.
• A strong interest in the translational and applied aspects of research, including collaborations with industrial partners.

Preferred Skills:

Whether you are an experienced bioinformatician excited about the possibilities of artificial intelligence, or a biology-curious machine learning expert looking for new exciting applications across disciplines, we want to hear from you. A strong willingness to learn and develop new skills is highly preferred. We will be looking for candidates with any of the following qualities:

• Experience working with chemical language models and familiarity with related bioinformatics / chemoinformatics concepts.
• Experience with the annotation of LC/MS metabolome profiles.
• Strong background in AI/ML modelling, statistics, and data analysis and visualization, preferably including practical experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Extensive domain knowledge in (bio)chemistry, molecular biology, microbiology and the concepts of synthetic biology / engineering biology.
• Familiarity with the techniques of agentic AI.

We offer:

• A nurturing, supportive and stimulating environment with close mentorship to develop your scientific career and shape the future of synthetic biology through innovative computational approaches.
• An opportunity to work closely with an ambitious team of experimental biologists at the forefront of advances in synthetic biology.
• Access to state-of-the-art technologies, scientific resources, core facilities and infrastructure housed within A*STAR to facilitate your research work.
• Access to collaborations with industrial partners to translate research findings to commercial applications and societal impact.
• We welcome applicants from all background.

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.

We are seeking a highly organized and detail-oriented professional to assist in the smooth operation of our academic research lab.

This role involves a mix of laboratory support, administrative tasks, and basic research duties as needed.

• Manage laboratory inventory and order supplies when necessary
• Update and follow standard operating procedures (SOPs)
• Handle day-to-day laboratory administration, including equipment checks and documentation
• Ensure adherence to laboratory safety protocols and participate in safety checks/training
• Support simple, routine research protocols as required

• Diploma/Degree in Life Sciences or related field preferred
• Some laboratory experience is advantageous but not mandatory
• Excellent organizational skills and record-keeping abilities
• Safety-conscious and willing to learn
• Able to work independently and collaboratively within a team

• Supportive team environment
• On-the-job training provided
• Opportunity for growth and development in both laboratory operations and research support

We are seeking a passionate and academically strong individual to lead the design, research, and implementation of our Cambridge-aligned English curriculum . The role involves overseeing curriculum development, teacher training, and course material production to ensure world-class teaching standards.
Candidates with experience in IB (International Baccalaureate) or A-Level English programmes will be highly regarded.

• Curriculum Development:
  Develop and refine English language programmes aligned with the Cambridge curriculum framework , ensuring smooth progression across primary and secondary levels.
• Teacher Training & Development:
  Design and conduct regular training workshops for English teachers, focusing on pedagogy, assessment, and student engagement.
• Academic Research & Innovation:
  Lead research initiatives in English language teaching and assessment to enhance curriculum effectiveness and academic outcomes.
• Course Material Production:
  Supervise the creation of lesson plans, student books, worksheets, assessment materials, and digital content in alignment with Cambridge learning objectives.
• Quality Assurance:
  Observe classroom sessions, evaluate teaching quality, and provide feedback to maintain consistent academic standards across all centres.
• Collaboration:
  Work closely with the Academic Director, Marketing, and Operations teams to ensure academic integrity and seamless programme delivery.

• Bachelor’s or Master’s degree in English, Linguistics, Education, TESOL, or related field .
• Minimum 3 years of relevant experience in English teaching, curriculum design, or academic leadership.
• Proven track record in Cambridge English curriculum development and assessment.
• Experience with IB or A-Level English programmes is a strong advantage.
• Excellent written and spoken English proficiency.
• Strong communication, presentation, and team leadership skills.
• Ability to manage multiple academic projects with attention to quality and timelines.

• Familiarity with Cambridge English (Key, Preliminary, First, Advanced) assessment levels.
• Knowledge of CEFR standards and how they align with international curricula.
• Experience producing visually engaging and academically rigorous English teaching materials.
• Understanding of digital learning tools and blended learning methodologies.
• Research-oriented mindset and commitment to continuous improvement.

• Competitive salary based on experience and qualifications.
• Opportunities for professional growth within an expanding education group.
• A supportive, innovation-driven academic team environment.
• The opportunity to shape the English academic framework across multiple campuses.

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.
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Home Fellowship Asia Research Institute (NUS) Postdoctoral Fellowships 2026–27
Asia Research Institute (NUS) Postdoctoral Fellowships 2026–27
Provider:
Asia Research Institute (ARI), National University of Singapore (NUS)
Opportunity Type:
Postdoctoral Fellowship
Duration:
1 year (extendable to 2 years)
Start Date:
1 August 2026
End Date:
31 July 2027 (possible extension to July 2028)
Salary:
Starting from SGD 6,000 per month
About the Fellowship
The Asia Research Institute (ARI) at the National University of Singapore invites applications for its Postdoctoral Fellowship Programme (FY2026–27).This fellowship provides early-career scholars with the opportunity to pursue independent research related to Asia while contributing to ARI’s interdisciplinary research clusters and engaging with NUS’s world-class academic community.
PhD in relevant social sciences or humanities (awarded within the last 5 years)
Research focus related to Asia or Asian societies
Candidates about to submit their PhD may apply (must complete by fellowship start date)
Open to international scholars (not restricted to Singaporeans)
Salary: Starting from SGD 6,000 per month
Duration: 1 year, renewable for a second year
Access to ARI research facilities, NUS libraries, and interdisciplinary clusters
Opportunities to present and publish research findings
Active participation in seminars, workshops, and collaborative research
Ensure your research aligns with ARI’s thematic clusters
Check the ARI website for detailed requirements and updated deadlines
Applications Open:
Now
Selection & Notification:
Early 2026
Fellowship Start:
1 August 2026
Fellowship End:
31 July 2027 (extendable to July 2028)
Ready to Advance Your Research in Asia?
Apply now for the ARI Postdoctoral Fellowships 2026–2027 at NUS and join a vibrant community of scholars in Singapore.
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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.
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