129 Scientists jobs in Singapore

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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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.
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(What the role is)

The Centre for Climate Research Singapore (CCRS) is a division of the Meteorological Service Singapore (MSS). At CCRS, our mission is to advance scientific understanding of tropical climate variability and change and its associated weather systems affecting Singapore and the wider Southeast Asia region, so that the knowledge and expertise can benefit decision makers and the community. Our vision is to be a world leading centre in tropical climate and weather research focusing on the Southeast Asia region.

CCRS is offering an exciting job opportunity for a scientist with a strong background in AI/ML and its application to climate, as well as good knowledge of climate variability and change in the tropics with focus on Southeast Asia. As part of the Department of Climate Research (DCR), the Climate Projections and Extremes Branch (CPEB) focuses on climate processes relevant to Singapore and the Southeast Asian region and developing next generation high resolution regional climate change projections for its stakeholders.

A core component of the work is the application of AI/ML methods for climate and climate change time scales, especially as part of the new AI-based production of high-resolution regional climate change projections.

We are therefore seeking an experienced scientist with a strong background in the application of AI/ML in climate science as well as an understanding of climate variability and change (especially for tropical regions such as Southeast Asia).

(What you will be working on)

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

• Implement AI/ML methods on our HPC system; train the AI/ML models and test their capabilities
• Benchmarking of climate and downscaling AI/ML models for use in climate projections
• Contribute to the analysis of climate simulations using both standard as well as ML methods
• Contribute to research on climate variability and change (including tropical processes) as guided by the BH and HOD
• Contribute to CPE Branch strategic planning through contributions to annual work plans, end of year reports, regular meetings with BH CPE Branch and other relevant staff.
• Contribute to support, nurture and developing of other scientists in the CPE Branch, regarding AI/ML applications.
• Contribute to effective stakeholder engagement

(What we are looking for)

The job might be for you if you possess the following:

• PhD/MSc degree in computer science, physical sciences and research experience in application of AI in climate, atmospheric/oceanic science, or meteorology
• High proficiency in scientific computing, especially PYTHON, with experience applying AI/ML libraries
• Experience working on HPC systems (linux, bash, CDO, etc)
• Experience in publishing articles in peer-reviewed journals
• Versatile and creative verbal and written communication skills, able to communicate detailed technical/ scientific information into easily understood, engaging, influential and informative article/programme to a broad audience
• Ability to work effectively to deadlines on individual projects and as part of a diverse team.
• Interest and passion to deliver relevant R&D for societal benefits.
• Ability to network effectively with the local and international research community.
• Ability to engage and communicate with scientists and stakeholders from diverse communities.

Please send in samples of past work, clearly stating the areas of your involvement.

As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

Temasek is looking for a candidate to join them as a Research Scientist.

Key Responsibilities

• Conduct evaluation of state of the art embedded microcontroller and associated cryptography algorithms
• Develop and test research methods on non-invasive and semi-invasive aspects of hardware security including but not limited to: post-quantum cryptography, Embedded Security, IoT security, Hardware Forensics etc
• Responsible for device setup, device testing, data analysis and reporting
• Publish in top international venues for optimal communication of our research

Job Requirements

• Minimally Master's degree in Electrical / Electronic / Computer Engineering or equivalent
• Applicants with PhD preferred
• Prior experience in working with embedded systems is required
• Prior experience with coding and evaluation of cryptography hardware or quantum devices is required
• Coding background in either of C/Java/Assembly/Python/VHDL for analysis is required
• Basic knowledge of advanced cryptography algorithms like post quantum cryptography is prefered
• Creative, curious, self-motivated and a team player with good analytical and problem-solving skills

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

The candidate will be responsible for conducting research on improving the performance of health monitoring on smart earbuds using PPG technology. Successful candidate will be part of an active research team led by Prof Thivya Kandappu from School of Computing and Information Systems, Singapore Management University.

Candidate's core responsibilities are:

• Work on literature review and study design.
• Work on IRB application and preliminary self-test.
• Work on large-scale data collection with 30-40 participants.
• Work on analyze data and write a report.
• Other duties assigned.

Qualifications

• Minimum PhD degree in Computer Science, Biomedical Engineering, Information Systems or closely related disciplines from an institution of higher learning
• Minimum 1 years of relevant research experience in wearable-based sensing, PPG signal analysis, embedded device, or signal processing
• Basic knowledge/Proficiency in programming software/languages such as Python and C will be positively considered/ is required
• Demonstrated experience and know-how on PPG sensors and signal processing
• Good analytical, technical and problem solving skills
  • Applicants with research publications in PPG will be advantageous
• Applicants with research background in Biomedical Engineering will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

Other Information

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world's top universities. NTU's College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU's College of Computing and Data Science is an 'exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

We are seeking a skilled and motivated Research Scientist to join our quantum-safe security team at NTU's CCDS. This role is instrumental in supporting Singapore's national agenda in digital trust by contributing to the research, development, and integration of cutting-edge post-quantum cryptographic (PQC) solutions. The candidate will work closely with researchers and enterprise stakeholders to analyze existing cryptographic software stacks and drive the migration to quantum-safe alternatives.

As part of the national quantum-safe migration effort, the Research Scientist will develop software tools, frameworks, and libraries, and upgrade existing systems to meet emerging PQC standards. This position is ideal for a technically strong developer who is passionate about cybersecurity and wishes to make a tangible impact in future-proofing critical digital infrastructures.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Scientist.

Key Responsibilities:

• Work closely with research and engineering teams to develop and integrate post-quantum cryptographic (PQC) solutions into existing and new software systems
• Analyze and assess current cryptographic implementations, libraries, and system architectures to identify upgrade paths for quantum-safe migration
• Design, implement, and test software modules, protocols, or frameworks that use NIST-standardized PQC algorithms
• Evaluate performance, interoperability, and security implications of replacing classical cryptographic schemes with quantum-safe alternatives
• Support the development of technical documentation, migration roadmaps, and user integration guides for internal and external stakeholders
• Collaborate with industry partners (e.g., financial institutions, OEMs) to deploy and validate the migration of their systems to quantum-safe cryptography
• Contribute to research papers, technical reports, and presentations for internal reviews and external conferences or journals

Job Requirements:

• PhD degree in Computer Science, Cybersecurity, or a related field
• At least 1-2 years of relevant experiences in similar role / technical hands-on experience
• Familiarity with cryptographic and security protocols, including post-quantum cryptography
• Excellent written and oral communication skills
• Proficiency in programming (Python, C, Go)
• Familiarity with TLS, VPNs, PKI, and open-source crypto libraries (e.g., OpenSSL, BoringSSL)
• Familiarity with project management tools

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

Summary:

Our client are seeking a Research Scientist to join our corporate lab, focusing on data analytics and machine learning applications for enzyme production optimization. The role involves modeling analytical data from factories and R&D centers using AI/ML approaches, and contributing to research outputs such as publications and patents.

Remuneration:

• Up to $10,000, with AWS and Variable Bonus

Responsibilities

• Manage and preprocess large datasets for analysis.
• Develop scripts and code to perform specified computational tasks.

• Apply statistical analysis and machine learning techniques, including:

• Optimization algorithms

• Supervised and unsupervised learning
• Sampling algorithms
• Deep learning models
• Optimize ML/AI models to meet performance specifications.
• Summarize and present results for internal reporting and external stakeholders.
• Participate in seminars, research-in-progress meetings, and collaborations.
• Contribute to writing and publishing scientific papers and patents.

Requirements

• PhD in Statistics, Data Science, Computer Science, or a related field.
• Proficient in coding with R, Python, Java, and Bash.
• Strong knowledge of bioinformatics (sequence analysis, protein structure prediction).
• Experience with AI/ML frameworks such as TensorFlow or PyTorch.
• Demonstrated ability in optimizing ML/AI models.
• Apt learner, adaptable, and able to apply new computational techniques to open-ended problems.
• Effective communicator and team player, capable of explaining technical concepts to non-specialists.

Interested candidates please apply online or send your latest CV to

AlwaysHired Pte Ltd

Reg No: R

EA: 24C2293

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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

For more details, please view

We are seeking an accomplished and visionary scientist to lead Singapore Max Planck Alliance for Sustainable Chemical Conversion of Biomass under the CREATE Thematic Programme in Decarbonisation. This role serves as the primary scientific representative the project and is responsible for executing the research vision in collaboration with local and international partners. The successful candidate will drive the development and scale-up of continuous flow chemical systems and novel catalytic pathways, contributing to global advancements in sustainable chemistry and renewable feedstock utilization. The candidate will also be responsible for cross-institutional coordination, lab commissioning, team building, and research translation, ensuring smooth integration across NTU, MPI, and other stakeholders.

Key Responsibilities:

• Provide scientific leadership and direction for a multidisciplinary research team focused on biomass valorization and continuous-flow process development.
• Act as the scientific and operational anchor between MPI (Germany) and NTU (Singapore), facilitating effective cross-national coordination.
• Lead the design, commissioning, and operation of the Automated Flow Chemistry Laboratory, including layout design, staffing, and procurement.
• Drive the development and optimization of closed-loop, automated flow chemistry systems for biomass valorization, integrating data-driven design and in-line analytics.
• Ensure effective project management, team coordination, and progress reporting, while maintaining high standards of safety and scientific rigor.
• Mentor and guide a team of 5–6 researchers, including Research Fellows and Assistants.
• Oversee project progress, ensure milestone achievements, and contribute to the drafting of research proposals and industrial engagement activities.
• Disseminate results through high-impact journals, patents, and global conferences.
• Represent MPI in administrative, academic, and strategic discussions, including engagement with CREATE leadership and NRF stakeholders.

Job Requirements:

• Doctoral degree in Chemical Science, Chemical Engineering, Chemistry, or a related field.
• Strong expertise in flow chemistry, automation, Chemputer-based platforms, and closed-loop experimentation.
• Experience in digitalization of chemical synthesis, lab automation, and pilot-scale system development.Strong research portfolio with high-impact publications
• Demonstrated leadership in interdisciplinary or international research projects.
• Experience in managing lab-scale to pilot-scale chemical processes, including automation, scale-up, and data-driven optimization.
• Prior involvement in programme proposal writing, lab layout design, and research coordination is a strong plus.
• Excellent organizational, communication, and interpersonal skills with the ability to lead diverse teams and manage cross-institutional collaborations.

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