Job Description

The Duke-NUS Cancer and Stem Cell Biology (CSCB) Programme studies the causes and treatments of cancer and related diseases. The CSCB research groups have diverse programmes in both basic cancer biology and clinical-translational studies, with a special emphasis on cancers that affect the Asian community in general.

The selected candidate will play a key role in a natural products-based drug discovery program. He/she will work both independently and collaboratively to analyse complex natural products using NMR and mass spectrometry, including metabolomic profiling to identify potential molecular targets and mechanisms.

• Independently carry out the design and execution of experimental research required by the research component of the project.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact on the relevant field attracting research funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Source financial support for research activities by investigating potential sources of funding, collaborate with Principal Investigator to write and revise grant/fellowship applications.
• Provide guidance and mentorship to junior researchers.
• Ensure optimal progress of experiments in the laboratory by conducting, supervising, and evaluating laboratory procedures and outcomes. Revise and analyse targets to obtain high-quality and reproducible results.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Chemistry, Chemical Biology, or related discipline with 2 years of relevant post-doctoral experience.
• Demonstrate general expertise in the field of natural products isolation, metabolomics, and global profiling.
• Strong NMR and mass spectrometry skills in compound characterisation.
• Familiar with database and networking platforms for dereplication (e.g., GNPS).
• Proven track record in the form of high impact publications.
• Strong writing and critical thinking skills, as well as good communication and presentation skills.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

Job Description

The Cardiovascular and Metabolic Disorders (CVMD) Programme at Duke-NUS houses state-of-the-art technologies for profiling mitochondrial function and metabolic adaptations in model organisms and undertakes translational research in cardiovascular and metabolic disorders. The program has a strong track record of publication in top-tier journals, successful commercialisation efforts leading to spin-offs, as well as nurturing early career researchers into independent academic or industry positions.

Metabolic dysfunction-associated steatohepatitis (MASH) is a severe metabolic liver disease that can affect up to 6.5% of the adult population, with only one FDA-approved drug. Dr. Jin Zhou’s team is specialised in studying the novel molecular pathogenesis underlying MASH for the identification of new druggable targets. The lab uses a combination of biochemistry, genetics, animal modeling, and metabolomics approaches to understand cellular processes related to mitochondrial function and hepatic lipid metabolism.

We are looking for a highly self-motivated Research Fellow to join the team. The selected candidate will perform a variety of research activities, including but not limited to the following:

• Independently carry out the design and execution of experimental research required by the research component of the project.
• Maintain optimal experiment progress in the laboratory or in the research work undertaken.
• Maintain accurate and complete records of all findings and ensure the validity and reliability of data at all times.
• Present research outcomes orally, and draft research abstracts and manuscripts for publication.
• Provide guidance and mentorship to undergraduate/medical students and research assistants.
• Perform other related duties incidental to the work described herein.

Job Requirements

• PhD in Biomedical Sciences, Molecular Biology, Cell Biology, Pharmacology, or related disciplines.
• Hands-on experience with mice models, as well as wet-lab techniques in molecular and cell biology. Prior experience in polysome and/or ribosome profiling would be advantageous.
• Proven track record of academic publications, including writing/drafting first-author papers.
• Demonstrate excellent communication, technical independence, and analytical and problem-solving skills.
• Self-motivated individual, enthusiastic to take initiative, and able to work independently and collaboratively in a team.

We regret that only shortlisted candidates will be notified.

Job Description

The laboratory of Dr. Tang Hong-Wen within the Signature Research Programme in Cancer and Stem Cell Biology (CSCB) at Duke-NUS is recruiting a Research Assistant with strong enthusiasm and interest in muscles and muscle stem cells. The Tang lab’s scientific focus is to understand how muscle functions get impaired during aging and tumorigenesis. Dr Tang’s laboratory uses unique cross-species and interdisciplinary approach incorporating Drosophila genetics, biochemistry, cell biology, and mouse models, to identify new evolutionary conserved mechanisms underlying human muscle diseases and provide new therapeutic strategies targeting muscle wasting and mitigating the effects of aging.

The selected candidate will perform a variety of functions related to research under the supervision of the Principal Investigator or his/her designate: -

• Perform tasks and support all aspects of the research project.
• Conduct accurate monitoring, documenting and reporting of experimental results and research findings.
• Evaluate and interpret collected data and prepare oral presentations or written reports/ scientific manuscripts/literature for publication and analyses setting forth progress, adverse trends and appropriate recommendations or conclusions.
• Contribute to some project management, provision of guidance to undergraduate/medical students.
• Assist with general upkeep of laboratory needs, maintain safety protocols, provide technical support and establish work procedures to ongoing research projects.
• Perform other related duties incidental to the work described herein.

Job Requirements

• Bachelor’s Degree in Sciences / Life Sciences.
• Demonstrated basic knowledge, skills and expertise in supporting various research activities.
• Knowledge of the scientific background relevant to the research area.
• Laboratory experimental skills.
• A strong team player who is open-minded, energetic, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.

We regret that only shortlisted candidates will be notified.

Job Description

The Duke-NUS Laboratory for Translational and Molecular Imaging (LTMI), Duke-NUS Medical School, is recruiting a Research Fellow/Senior Research Fellow to lead state-of-the-art small animal imaging studies in Viral Infectious Disease. LTMI aims to develop local infrastructure and deep capabilities in the development of molecular imaging technologies for guiding the advancement and translation of new imaging biomarkers to guide novel therapeutics in viral infectious disease.

The successful candidate will lead pre-clinical imaging efforts to validate novel imaging probes that target potential biomarkers of viral infection and host response. He/She will be responsible for the strategic planning, execution and communication of research. Candidates with strong records of scientific accomplishment in radiopharmaceutical sciences, immunology or related disciplines are encouraged to apply.

Lead mouse model development and characterisation of viral disease.

• Perform in vivo characterisation of imaging probe specificity and sensitivity with PET/CT, SPECT/CT and/or optical imaging in combination with different treatment regimes.
• Monitor immune response to anti-viral, and vaccines with longitudinal imaging, supported with pathology (IHC/IF), and cellular assessment (flow cytometry).
• Ensure regulatory compliance of research, including legal and ethical requirements.
• Ensure timely reporting and presentation of study results to the team, and making appropriate decisions on data obtained from imaging studies.
• Write and review research papers, and present at local and international conferences.
• Provide guidance and mentorship to junior researchers and/or graduate students.
• Demonstrate effective organization/project management abilities to efficiently manage time and work activities.

Job Requirements

• PhD in Virology/Immunology/Radiopharmaceutical Sciences or related disciplines.
• Experience in multimodality imaging and image analysis (including PET, SPECT, CT, fluorescence, and/or optical imaging) within the infectious diseases and immunology domain.
• Background in virology, molecular biology, cell biology and oncology.
• Possesses experience in mouse studies (injection, anatomy, necropsy, pathology) required.
• Proven track record of academic publications, including writing/drafting first author papers.
• Self-motivated individual, enthusiastic to take initiatives, as well as able to work independently and collaboratively in a team.
• Demonstrate excellent communication, technical independence, analytical and problem-solving skills.

We regret that only shortlisted candidates will be notified.

Job Description

The Cardiovascular and Metabolic Disorders (CVMD) Programme houses state-of-the-art technologies for profiling mitochondrial function and metabolic adaptations in human patients and other model organisms, and undertakes translational and clinical research in cardiovascular and metabolic disorders.

Prof Derek Hausenloy’s laboratory aims to discover new treatments for protecting the heart from acute ischaemia/reperfusion injury and for preventing heart failure. We use a translational approach to research comprising cell models, rodent models (atherosclerosis, acute myocardial infarction and heart failure), nanoparticles for delivery of therapeutics to the ischaemic heart, and clinical studies.

The selected candidate will perform a variety of functions related to research under the supervision of the Principal Investigator or his/her designate, including but not limited to the following: -

• Perform tasks and support all aspects of the research project.
• Conduct accurate monitoring, documenting and reporting of experimental results and/or research findings.
• Evaluate and interpret collected data and prepare oral presentations or written reports/ scientific manuscripts/literature for publication and analyses setting forth progress, adverse trends and appropriate recommendations or conclusions.
• Assist researchers in contributing to some aspects of the project management, occasional laboratory demonstrations and in providing guidance to undergraduate/medical students.
• Establish work procedures to maintain high efficiency and productivity of the laboratory. Assist with general upkeep of laboratory needs, maintain safety protocols, provide technical support and establish work procedures to ongoing research projects.
• Perform other related duties incidental to the work described herein.

Job Requirements

• Bachelor / Master’s Degree in Sciences/Life Sciences with at least 2 years of relevant work experience in the design and conduct of experimental projects.
• Demonstrated good knowledge, skills and expertise in supporting various research activities including molecular biology, cellular assay, ELISA, and histology.
• Knowledge of the scientific background relevant to the research area.
• Laboratory experimental skills.
• Experience with cardiovascular research and animal work (rodents) preferred.
• A strong team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.
• RCULA certification will be an advantage.

We regret that only shortlisted candidates will be notified.

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 Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is seeking a research fellow (RF) for the various projects on chronic disease. The successful applicant will have a strong foundation in epidemiology and quantitative methods, show good initiative in troubleshooting tasks and have excellent communication skills.

The RF will play an important role in the conduct of current research projects on diabetes epidemiology, care and outcomes. In addition, successful candidates will be expected to support the preparation of new grant proposals. The RF will also be expected to work independently, while working in a team-based setting.

Responsibilities:

• Conduct and coordinate clinical or epidemiologic research under the direction and supervision of the Principal Investigator and Collaborators, including preparing applications for ethical approval, data collection and management, and quality assurance
• Manage these research projects in a team-based, cross functional research environment, which include supervising/ mentoring junior research staff and research students
• Undertake necessary statistical analysis, including advanced modelling techniques, to interrogate the data
• Draft research reports and manuscripts for scientific sharing and publication
• Support the preparation of new grant proposals
• Attend project meetings and to participate (where necessary) in other meetings
• Ensure compliance with health, safety and ethical guidelines in all aspects of work
• Undertake any other specific roles and management functions as may be reasonably required by the Principal Investigator

Requirements:

• PhD Degree in public health, epidemiology, biostatistics, health services research, health information science or related fields.
• Proficiency in English is a must as the candidate will be required to write scientific papers for publication in international peer reviewed journals and present work undertaken to a technical audience.
• Track record of publications in international peer reviewed journals
• Proficiency in the use of statistical software (Stata and R)
• Expertise in epidemiological and statistical analysis techniques, including joint modelling for time to event analysis and Markov modelling
• Ability to work independently as well as in a team-based, cross functional research environment
• Self-motivated, independent learner and detail-oriented
• Good project management skills

Recruitment is open immediately. The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

To apply, please submit the following documents:
a. Cover letter highlighting career goals and relevant experience
b. Curriculum Vitae, containing details of two named referees

Please note that only shortlisted candidates will be contacted.

The SingHealth Duke-NUS Global Health Institute (“SDGHI”) is a platform for global health activities across the SingHealth Duke-NUS Academic Medical Centre (“AMC”). The Institute aims to address current and emerging health challenges across Asia. Working in collaboration with partners, the Institute seeks to tackle prevalent health challenges, strengthen health systems and better insulate countries from pandemics and disease threats.

The Planetary Health Initiative is SDGHI’s newest strategic initiative. Planetary health pertains to the integrated state of health of both people and the planet. It recognizes that people’s health is now greatly shaped by human-driven global environmental change, such as climate change, environmental pollution, rapid urbanisation, biodiversity loss, among others. Addressing these interlocking challenges requires concerted actions within and beyond the health sector, spanning diverse disciplines and nations.

During the Initiative’s inaugural phase, the Institute will focus on launching new educational and capacity-building activities, conducting landscape analysis of the current state of play especially at the regional level, exploring research collaborations with other planetary health-oriented groups within Singapore and beyond, and implementing policy influencing and advocacy activities – all geared towards positioning the Institute as an emerging thought leader in planetary health in Asia and beyond.

The Research Fellow will be part of the Initiative’s inaugural team and will significantly contribute to the early development of the Institute’s planetary health portfolio. The selected candidate will perform a variety of research activities which include planning, organising, and conducting research studies, including but not limited to the following:

• Independently carry out the design and execution of research projects.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for independent research.
• Provide support for external grant/protocol development, study design, ethics review application, and other research management activities.
• Contribute to other activities of the Planetary Health Initiative related to education, capacity building, innovation, policy advocacy, etc.
• Provide guidance and mentorship to undergraduate/medical students and research assistants.
• Perform duties related to the activities of the Planetary Health Initiative (such as advocacy, policy engagement, etc.).

Job Requirements:

• PhD in relevant fields such as public health, health systems, sustainable development, social sciences, among others, AND/OR post-graduate medical degree.
• Minimum with at least 2 years’ of relevant research experience and training. MD/MBBS graduates with a relevant Master’s degree may also be considered.
• Possess advanced knowledge of specific planetary health topics/issues of interest, as well as wide familiarity about the evolving planetary health field, including principles, frameworks, issues, emerging discourse, and policy developments
• Proficiency in research design and execution, preferably in conducting mixed-methods research(both quantitative and qualitative)
• Demonstrated capability of research independence growing progressively.
• Have strong writing and critical thinking skills, as well as good communication and presentation skills, which can be demonstrated through research publications in high impact journals, commentaries and blogs, conference presentations, and speaking engagements.
• Possess strong interpersonal and relationship-building skills which are vital for engagement with partners, collaborators, funders, and other external stakeholders.
• An emerging leader, team player, and project manager who can supervise and mentor junior colleagues; prioritize, multi-task and work collaboratively in a diverse workforce; and coordinate multiple projects and activities.

We regret that only shortlisted candidates will be notified.

Job description: Research Scientist, Chemical Development: Linker-payload synthesis for Antibody Drug Conjugates (ADCs):

• Engage in groundbreaking research and development in the field of synthetic organic chemistry, peptide chemistry.
• Investigate and explore new ideas and concepts by defining experiments in order to verify proof of principle.
• Collaborate with biologists constantly to develop novel linker-payloads for next generation Antibody-Drug Conjugates
• Collaborate closely with project team members and other cross-functional groups in the organization.
• Submit and present project updates and reports in verbal and written formats.
• Write invention disclosures and possible patent applications.
• Manage and prioritize daily assignments to ensure timely completion.
• Attend and participate in scheduled planning meetings and/or status meetings.
• Manage and maintain required reagents, laboratory environment, and equipment needed to carry out assignments.
• Adhere to safety and regulatory requirements
• Transfer new products from R&D to Manufacturing.
• Responsible for sustaining products to address customer needs
• Writing SOP and work instruction according to Quality management standards and requirements.
• Other opportunities may include possible contributions to scientific literature and presentations at conferences.

Requirements

• PhD in synthetic organic chemistry with 5 years relevant experience.
• R&D experience in multi-step small molecule synthesis, peptide synthesis
• Proficient in operating analytical equipment and applying analytical chemistry principles
• Experience with new product development is a plus
• Strong understanding of instrumentation principles and troubleshooting ability.
• Strong understanding of synthetic chemistry
• Strong understanding of Analytical chemistry principles
• Record of accomplishment should be demonstrated by publications or patents
• Demonstrated organizational skills with the ability to balance multiple tasks with different priorities
• Ability to make independent decisions and possess strong initiative
• Ability to dissect problems with strong analytical and critical thinking skills
• Ability to accurately plan, define, and manage projects tasks
• Must possess excellent verbal and written communication skills.
• Capable of working with multi-disciplinary teams.

Job Summary:

• Deliver in-house legal counsel function and provide comprehensive legal advice and support, to the Legal Director, which includes drafting and reviewing contracts and intended changes to Rules and Bye-Laws, compliance, governance and helping the Club be PDPA compliant.
• Provide administrative, project and executive support to the Director by ensuring that all tasks are completed according to established policies and procedures in an efficient, timely and accurate manner.

Job Responsibilities:

• Provide support to the Organisation’s Legal and Compliance areas such as technology and media, IP, data protection (PDPA, GDPR etc.), labour, club and corporate issues.
• Implement and ensure compliance with the internal controls, statutory regulations, and other corporate formalities.
• Assist in implementing compliance programs.
• Advise on legal disputes.
• Monitor changes in laws and regulations and provide updates to the Company and/or the Legal and Compliance team in the event of any such changes.
• Provide legal advice, draft and review contracts and intended changes to Rules and Bye-Laws, managing the Club’s trademark and intellectual property portfolio, and helping the Club be PDPA compliant.
• Carry out disciplinary proceedings in accordance with the Organisation’s Rules.
• Maintain and organise a full set of records for all files, minutes, activities, projects and data bases and to obtain all information from internal and external stakeholders and knowledge at fingertips to be able to engage all stakeholders and members and advise them on all issues raised.
• Organise meetings & take minutes and provide timely updates on the actionable items assigned to each person.
• Write reports, updates, analyse issues and to achieve set outcomes and proactive in achieving creative solutions. Present papers and persuade the audience.
• Quick to understand the business and be a value-add contributor.
• Detailed and meticulous, must be committed to work, willing to be involved without being asked and to achieve results on all on-going matters and even in fluid situations.
• Result-oriented, self-starter, starts and completes all tasks with achievements within time-frame and constantly improves tasks.
• Well-organised in calendar, handling of reports, following up on work tasks and answering email correspondence, scanning of documents and mailing of letters or packages.
• Any ad-hoc tasks assigned by the Legal Director, Management and the Board.

Job Requirements:

• Minimum 2 years of relevant working experiences in similar capacity. Fresh graduates with relevant qualifications to perform the above duties are welcome to apply.
• Good work attitude with willingness to learn.
• Preferable to have experience in professional P.A work, attending meetings and taking Minutes, but not essential.
• Logical, clear and concise writing and ability to grasp concepts and to communicate ideas and issues at hand. Ability to write a good summary.
• Excellent communication, speaking and writing skills in English.
• Meticulous with strong initiative as well as the ability to multi-task, organise and prioritise work with minimum supervision to meet tight deadlines.
• Strong work ethics, integrity, responsible and dependable.
• Able to work independently.

Join Our Team and Enjoy Fantastic Benefits!

Job Responsibilities

• Support Senior Librarian of Reference & User Services in managing daily customer operations, maintenance of library facilities/spaces and services to users (staff and public) in line with standards, policy and procedure.
• Oversee and manage the library’s circulation and information/enquiry services, including monitoring service delivery (across different channels) by staff, roster planning, manning of circulation counter, processing of loan and membership transactions, handling advisory/information enquiries, and troubleshooting issues related to common library equipment/services.
• Manage and maintain user data in the Library Management System. Manage and keep up to date the relevant SOPs and documentation for library services.
• Identify gaps, propose/experiment with possible solutions & methods to improve or provide new reference & research services (on-site & remote) to users.
• Responsible to collect, analyse and produce regular written and statistical reports on the library collection, facilities & services for management. Analyse satisfaction/usage trends to ensure the library collection, resources and policies are developed to meet users’ needs.
• Participate in collection development through regular selection of materials for acquisition. Provide information service to users via daily selection and/or co-ordination of news alert services.
• Promote library collection and services through curated book displays, subject guides, tours and events. Develop training kit/handbook/materials and conduct staff and public user education/ induction.
• Be the central contact point for coordinating and managing the usage of library public space e.g. exhibition galleries, meeting rooms.
• Assist in collection management and maintenance through shelf reading, collection stocktake, conservation and provision of timely access to materials.
• Any other duties as required.

Requirements:

• At least three years of relevant library work experience, particularly in academic or special library environments.
• Possess strong customer service and communication skills.Meticulous, organised, and independent self-starter who possess critical thinking skills.
• Team player willing to co-operate and share. Possess good interpersonal, administrative and supervisory skills.
• Willing to learn, able to multi-task and complete tasks with tight deadlines independently; possess good time management.
• Good writing skills in English with a good knowledge of any other Southeast Asian languages would be an advantage.
• Proficiency in MS Office, particularly Microsoft Excel and Powerpoint.
• Familiarity with graphic design software and tools.
• A basic degree. Those with qualifications in degree in social sciences – History, Southeast Asian/Asian Studies, Information Studies, Library Science related disciplines, or equivalent qualifications would be advantageous.
• Familiarity with government procurement and/or GeBIZ would be an advantage.
• Familiarity with library software (SirsiDynix Symphony) would be an advantage.

Who We Are

As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment.

We advocate for the same for our people. We believe everyone should have equal opportunities and develop to their fullest potential in their careers.

Embark on an exciting lifelong journey with us in making a positive difference in your career and serving our society.

For more information on Singapore University of Social Sciences, please visit www.suss.edu.sg

About The Job

The successful candidate will be responsible for leading and supporting strategic and applied research projects focused on addressing critical social issues such as lifelong and inclusive education, healthcare, resilient families, environment and sustainability through data-driven approaches. The role requires expertise in social science, data analysis, and research methodologies.

What You Will Be Doing

Key Responsibilities

• Lead the conceptualisation and execution of high-impact research projects aligned with the Centre’s vision for social good, including the design and implementation of impact assessment methodologies to evaluate the effectiveness of social programs and interventions.
• Design and implement quantitative and qualitative research studies to explore key social issues.
• Analyse large datasets using advanced statistical tools to extract meaningful insights related to social impact.
• Collaborate with external partners to collect data and information required for projects, ensuring ethical standards are maintained.
• Engage with non-profit organizations, government agencies, and academic institutions to support research collaboration on social good projects.
• Lead the preparation of grant applications and proposals to secure funding from governmental, non-governmental, and philanthropic sources.
• Collaborate with the Centre’s leadership to identify new funding opportunities that align with the Centre’s mission and strategic priorities.
• Monitor project budgets, timelines, and resources, ensuring efficient use of funds and personnel.
• Prepare high-quality research reports, policy briefs, academic publications, and presentations for internal and external stakeholders.
• Publish findings in peer-reviewed journals, contribute to white papers, and present at conferences.

Job Requirements

• Ph.D. in a relevant field (e.g., Social Sciences, Public Health, Economics, Data Science, Sociology, Environmental Studies, etc.) or master’s degree with significant research experience.
• At least 3 years of post-doctoral or equivalent research experience, ideally in social impact or related fields.
• Proven experience leading research projects with interdisciplinary teams.
• Demonstrated ability to secure research funding through grants or partnerships.
• Good publication record in relevant fields.
• Advanced expertise in research methodologies, both qualitative and quantitative.
• Proficiency in statistical analysis tools
• Strong understanding of data visualisation and reporting techniques.
• Excellent communication and writing skills for both technical and non-technical audiences.
• Excellent stakeholder management with excellent interpersonal, facilitation and communication skills.
• Strong problem-solving abilities, with a focus on applying research to real-world challenges.
• Ability to work independently as well as part of a multi-disciplinary team.
• Strong organisational and project management skills, with the ability to manage multiple tasks simultaneously.
• Always observe a code of strict confidentiality.

What We offer

At SUSS, we advocate the Spirit of Learning and pride ourselves as lifelong learners. You will gain access to various learning platforms and plenty of development opportunities to support your growth in a meaningful career!

Besides that, you will also get:

• Competitive Pay Package
• Hybrid Work Arrangement (Subject to Job Role)
• Medical Benefits
• Flex Benefits
• Family Care Leaves
• Volunteer Service Leaves
• Wellness & Recreation Activities
• Lifelong Learning Opportunities
• Career Development Opportunities through Internal Job Postings and Transfers

Job Description

• Develop, validate and perform bioassays and bioanalytical assays in compliance with FDA/EMA and GLP guidelines
• Refine current method in response to changing requirements of drug development
• Prepare study plan and study data of assays performed
• Analyse and present data/results
• Document work, results, analyses and findings in laboratory notebooks or study folders as appropriate according to workflow
• Draft SOPs and study reports
• Perform literature review for various drug pipelines and assays as required
• Meet project milestones with set quality
• Ensure scientific integrity of studies conducted and reports submitted

Requirements

• BSc or MSc in biomedical science, life science or equivalent
• Prior research and development experience are required
• Proficient in mammalian cell culture and aseptic techniques is a must
• Experience in ligand binding assays mainly ELISA, cell-based assays, SDS-PAGE, western blot and reporter assays is highly desirable
• Good knowledge of cell based (potency) or ligand binding assays required in drug development process
• Proficient with office software (MS office, Teams), and familiar with statistical tools (Graphpad Prism, XLSTAT or PLA)
• Knowledge of bioassays, bioanalytics and its method validation, GLP and ISO17025 is a plus
• Good written and verbal communication skills
• Superior problem solving and troubleshooting skills, attention to details
• Good interpersonal skills

Job Description

The Centre for Ageing Research and Education (CARE) is an academic research centre in Duke-NUS Medical School. Drawing on its multidisciplinary expertise and collaborations across medical, social, psychological, economic, and environmental perspectives, CARE’s research is situated in eight broad thematic areas: Population Health, Family Caregiving, Community-Based Health and Social Care Services, Productive Ageing, Falls, Ageing and the Environment, Health Communication, and Social and Psychological Aspects of Ageing.

CARE is a vibrant centre with individuals from diverse academic and personal backgrounds, and values the energy, passion, and thought leadership of promising scholars who desire to achieve health, social inclusion, and a high quality of life for older adults in Singapore. At Duke-NUS, CARE works closely with the Health Services and Systems Research (HSSR) Signature Research Programme, a centre of academic excellence for research and education on the organisation, funding and delivery of health services, and a focus is on public health and clinical service innovation in an increasingly complex and connected world.

We are seeking a full-time Research Assistant to join the team. The selected candidate will work across research projects, with the primary responsibilities including but not limited to the following:

• Perform data management including data cleaning, quality and consistency checks, and preparation of codebooks.
• Work with other researchers on interpreting and analysing quantitative data.
• Contribute to preparation of reports, policy and research briefs, presentations, and research papers.
• Conduct follow-up assessments of study participants over the phone.
• Support other project management tasks.
• Assist with other initiatives at CARE where required.

Job Requirements

• Bachelor’s Degree in Sociology, Epidemiology, Gerontology, Public Health, Psychology, Social Work, or other related disciplines.
• Prior work experience in quantitative data analysis will be advantageous.
• Possess strong communication and interpersonal skills.
• Able to take initiatives to learn on the job and manage assigned tasks.
• Motivated and detail-oriented with the ability to work independently as well as with others in a multi-disciplinary setting.

Candidates with relevant work experience may be considered for a Research Assistant (Senior) position.

Please attach a cover letter and a CV, with names and contact information of 3 referees. Applications will be reviewed on a rolling basis. We regret that only shortlisted applicants will be notified.

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 successful candidate will work with Assoc Prof Quek Su Ying on excitonic properties of layered materials under a project on Materials for Room Temperature Exciton Condensates: From Database to Laboratories.

The main responsibilities of the position include:

Using an electrostatic model combined with first principles calculations to compute the excitonic properties of selected layered materials with thicker layers.

Qualifications

• Qualifications / Discipline: Physics (PhD)
• Skills: First principles calculations, modelling
• Experience: Experience with first principles calculations in layered materials

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

• Support full spectrum finance duties, including but not limited to procurement, payments, accounts receivables in line with hosting institutions and grantor guidelines
• Provide grant management administration, such as grant claims, progress report’s financial reporting and other grant variation request.
• Provide administrative support, such as assets management, filing, phone enquiries, mails collections, stationery orders, etc
• Provide finance and administrative support for Annual Scientific Meeting and assist in pre and post event activities
• Assist in other finance or administrative functions as and when required by team

Qualifications

Degree in Administration, Accounting or Finance, and minimum 2 years of work experiences

• Positive working attitude, proactive and willing to learn
• Good organization and communication skills
• Experience in SAP HANA, Ariba
• Good knowledge of Microsoft Office application like Excel, Word, Teams, DocuSign and online communication application is an added advantage

As an Equipment Engineer, you will own all assigned toolsets. The preferred candidate can troubleshoot difficult and poorly defined problems related to mechanics, electronics, and processes using tool knowledge/experience, SPC, schematics, and other available resources. The candidate will collaborate extensively with the area maintenance team and process engineering. Some collaboration will be with tool vendors, other area engineers/managers, procurement, and production.

Responsibilities:

• Provide technical leadership and management of 200MM and 300MM Semiconductor processing equipment in Support of Main Stream Semiconductor Processes and Advanced Packaging processes. Highly desirable for a candidate to have a background in at least one of the following areas: Photolithography, PVD and CVD Thin Films, Dry Etch, Wet Etch /Wafer Clean, Diffusion, Bond, Electroplate (ECD), CMP, or Metrology (some areas may be combined).
• Work with process engineering to drive root-cause corrective actions for equipment failures, implement permanent solutions, and eliminate chronic and long-term down events.
• Lead continuous improvement teams to drive tool matching, availability, and throughput improvements and reduce risk.
• Management of new tool installation, start-up, and tool upgrades to increase fab capability and capacity, lower costs, and improve yields.
• Work with minimal supervision, balancing competing priorities, to serve the needs of the Maintenance, Production, and Development organizations.
• Participate in cross-functional teams that create efficiencies across all layers of the organization.

Required Qualifications

• Degree / Diploma with 10+ years of relevant Semiconductor Industry Experience in Mechanical, Electrical, or Chemical Engineering, Materials Science, Physics, or another relevant Engineering discipline.
• 6+ years of experience within the respective areas of expertise. Experience should include one or more: Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, and Wet Chemistry.
• Demonstrated experience with the application of structured problem-solving methodology.
• Positive interpersonal skills, highly energetic and self-motivated.
• Demonstrated ability to meet requirements and deliver results.
• Ability to manage and execute multiple projects simultaneously and shift priorities to meet business needs.

Preferred Qualifications

• Diploma or Bachelor of Science/Engineering in Mechanical, Electrical or Chemical Engineering or Materials Science, Physics or other relevant Engineering discipline.
• Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, Wet Chemistry.
• Positive interpersonal skills, highly energetic and self-motivated.
• Experience with Automated Fault Detection and Classification Systems (FDC).
• Strong background with utilizing SPC.
• High level of understanding of equipment component behaviour.
• Experience Integrating Equipment Maintenance Management Software

As an Equipment Engineer, you will own all assigned toolsets. The preferred candidate can troubleshoot difficult and poorly defined problems related to mechanics, electronics, and processes using tool knowledge/experience, SPC, schematics, and other available resources. The candidate will collaborate extensively with the area maintenance team and process engineering. Some collaboration will be with tool vendors, other area engineers/managers, procurement, and production.

Responsibilities:

• Provide technical leadership and management of 200MM and 300MM Semiconductor processing equipment in Support of Main Stream Semiconductor Processes and Advanced Packaging processes. Highly desirable for a candidate to have a background in at least one of the following areas: Photolithography, PVD and CVD Thin Films, Dry Etch, Wet Etch /Wafer Clean, Diffusion, Bond, Electroplate (ECD), CMP, or Metrology (some areas may be combined).
• Work with process engineering to drive root-cause corrective actions for equipment failures, implement permanent solutions, and eliminate chronic and long-term down events.
• Lead continuous improvement teams to drive tool matching, availability, and throughput improvements and reduce risk.
• Management of new tool installation, start-up, and tool upgrades to increase fab capability and capacity, lower costs, and improve yields.
• Work with minimal supervision, balancing competing priorities, to serve the needs of the Maintenance, Production, and Development organizations.
• Participate in cross-functional teams that create efficiencies across all layers of the organization.

Required Qualifications

• Degree / Diploma with 10+ years of relevant Semiconductor Industry Experience in Mechanical, Electrical, or Chemical Engineering, Materials Science, Physics, or another relevant Engineering discipline.
• 6+ years of experience within the respective areas of expertise. Experience should include one or more: Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, and Wet Chemistry.
• Demonstrated experience with the application of structured problem-solving methodology.
• Positive interpersonal skills, highly energetic and self-motivated.
• Demonstrated ability to meet requirements and deliver results.
• Ability to manage and execute multiple projects simultaneously and shift priorities to meet business needs.

Preferred Qualifications

• Diploma or Bachelor of Science/Engineering in Mechanical, Electrical or Chemical Engineering or Materials Science, Physics or other relevant Engineering discipline.
• Semiconductor Wafer Handling, RF Power, High Vacuum, Toxic Gas Delivery systems, Precision Optics, Wet Chemistry.
• Positive interpersonal skills, highly energetic and self-motivated.
• Experience with Automated Fault Detection and Classification Systems (FDC).
• Strong background with utilizing SPC.
• High level of understanding of equipment component behaviour.
• Experience Integrating Equipment Maintenance Management Software

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 National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow should possess relevant experience and will be conducting research on Data Security for LLM systems and work on Formal Methods Agents based on LLM.

Only shortlisted candidates will be notified.

Job Requirements

• A PhD degree in Computer Science or related field
• Experience in research and good publication record
• Strong programming skills

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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

(JR:18151)
The position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://www.csi.nus.edu.sg/web/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 3 referees including their name, contact information (email) and relationship to applicant

Qualifications

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

• Firm understanding of the principles of clonal evolution
• Experience analyzing DNA sequencing data
• Strong Python and/or R programming skills
• Proficient with standard statistical analyses
• Strong publication record
• Excellent written and spoken English

PREFERENCES

• Experience using Amazon Web Services
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

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 position of Postdoctoral Fellow - with an emphasis on computational cancer genomics - is immediately available at the Cancer Science Institute of Singapore (a part of National University of Singapore). The Postdoctoral Fellow will work with the laboratories of Professor Ashok Venkitaraman, on a project studying the evolution of cancer genomes during early steps in carcinogenesis, with the long-term aim to develop better methods for early intervention.

This is an exciting opportunity to deploy expertise in computational biology in an active multidisciplinary environment, working closely with experimental cancer biologists to address major scientific problems.

The Postdoctoral Fellow will apply existing analytic pipelines and devise new algorithms to explore data derived from multiple DNA sequencing technologies (e.g., Illumina & Nanopore) to resolve cancer genome evolution at the clonal level. S/he will also analyse complementary data from other technologies, ranging from single-cell RNAseq to chromatin immunoprecipitation to chromatin accessibility (ATAC-seq), using a variety of novel cellular models established in Professor Venkitaraman’s laboratory. Experimental findings will be explored and validated using clinical genomic datasets.

Please refer to https://www.csi.nus.edu.sg/web/ashok-venkitaraman/ for more information on Professor Ashok Venkitaraman’s research

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 3 referees including their name, contact information (email) and relationship to applicant

Duties And Responsibilities

The applicant for this position should possess a PhD in Human genetics, Genomics, Bioinformatics, Computer science, or related fields, with a strong track record of achievement exemplified by publications, is important, as is the required expertise in computational biology listed below. Experience in the methods to be used in the project is desirable.

• Firm understanding of the principles of clonal evolution
• Experience analyzing DNA sequencing data
• Strong Python and/or R programming skills
• Proficient with standard statistical analyses
• Strong publication record
• Excellent written and spoken English

PREFERENCES

• Experience using Amazon Web Services
• Proficiency with Unix-based systems
• Experience with collaborative software development via github/gitlab

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

We are seeking a motivated and skilled Research Assistant to join our team, focusing on the development and characterization of advanced 2D materials. The successful candidate will play a key role in supporting projects related to the growth, optimization, and detailed analysis of thin films for next-generation electronic devices.

Key Responsibilities:

• Materials Growth and Synthesis: Conduct thin-film deposition using techniques like Chemical Vapor Deposition (CVD) to synthesize 2D materials like MoS2 and other materials. Optimize growth parameters to achieve desired thickness, crystallinity, and uniformity.
• Characterization and Analysis: Utilize Atomic Force Microscopy (AFM), Scanning Electron Microscopy (SEM), and Raman spectroscopy for in-depth material characterization, focusing on morphology, surface roughness, grain size, and crystallinity.
• Data Collection and Analysis: Systematically document experimental procedures, collect data, and analyze results. Interpret findings to drive improvements in synthesis protocols and optimize film properties.
• Research Documentation: Prepare comprehensive reports, summarize research findings, and present data to support ongoing projects and publications.
• Collaboration and Lab Support: Work closely with team members, provide support for collaborative experiments, and maintain laboratory equipment.

Qualifications

• Master’s degree in Materials Science, Chemistry, Physics, or a related field.
• Demonstrated experience with CVD, AFM, SEM, and other characterization tools for thin films and nanomaterials.
• Proficiency in handling 2D materials with a strong focus on growth and sulfurization processes.
• Ability to work independently and collaboratively, with excellent attention to detail and problem-solving skills.

This position offers a unique opportunity to contribute to cutting-edge research in materials science, focusing on 2D materials for advanced electronics. If you have a strong foundation in materials synthesis and characterization and are eager to develop innovative solutions, we encourage you to apply.

You will grow your career at NEA’s Environmental Health Institute (EHI), where you will design and conduct field and laboratory research to assess and mitigate bioaerosol exposure concerns in the built environment. Key areas of focus include bioaerosol science, indoor air quality, and environmental transmission of airborne diseases. You will contribute to the development of national environmental public health policies and work with stakeholders to translate scientific findings into policy and operations. As a member of the NEA/EHI family, you will have numerous opportunities for personal development, not only in science, but also in other areas such as leadership, management and communication.

Job Requirements:

• Excellent knowledge of bioaerosol and indoor air quality management. BLS2 and BSL3 trained is preferred.
• Experience in designing and leading lab experiments on bioaerosols and study various airborne microbiome (including sampling, laboratory analysis, and data analysis)
• Experience in data analysis/statistical analysis
• Possessing a valid Class 3 driver’s licence and willingness to drive NEA’ car to field sites is preferred
• Capacity for systems thinking and inclination for trans-disciplinary science
• Strong interest in public health research, policy, and operations
• Excellent organisational, analytical, communication, and interpersonal skills
• Able to multi-task and work independently in a fast-paced environment
• Open to developmental opportunities.

Applicants will be updated on the status of their applications within 4 weeks of the closing date of this job posting.

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

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

One Research Engineer position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Engineer (RE) will work closely with the Principal Investigator (PI) on visual navigation foundation model for mobile robots, exploration using reinforcement learning control, learning-based control, etc. The RE will develop and train algorithms that enable intelligent and robust autonomous navigation in unseen environments. Hardware experiments will be carried out to test and demonstrate the applications of the developed algorithms.

The initial appointment duration is 12 months, which can then be extended based on an evaluation at the end of the initial appointment.

The candidates should have a Master’s degree from a reputable university, with expertise in robot learning, reinforcement learning, and aerial robotics.

A successful candidate should have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, optimization, real analysis, probability theory, stochastic process, etc). Strong publication records in leading journals and conferences of the relevant fields, and practical hands-on experience in applying visual foundation models to real mobile robots are required.

Qualifications

• Possess a master’s degree in Computer Engineering/Science or strictly related (e.g., either Electrical Engineering, Mathematics, Communication, Mechanical, etc.)
• Have research experiences in computer vision, vision foundation model, control theory, reinforcement learning.
• Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies.
• Proficient in C++ or Python. Familiar with machine-learning tools and packages. Familiar with various 3D simulation environments for quadrotor simulations. Familiar with ROS and quadrotor control algorithms.
• Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of robot navigation, reinforcement learning control for robotics applications.
• Excellent communication skills as he/she is required to publish and present results at conferences and journals independently.
• Activity performed in world-class research environments is highly valued.

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 National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will work at the Yang Zhang Lab. He/she should possess experience or interest in the following research areas:

• Artificial Intelligence (AI) and Deep Machine Learning
• Protein Folding and Structure Prediction
• Protein and Peptide Design and Engineering
• Protein-ligand Docking and Drug Screening

We are particularly interested in the development of new AI-based approaches to cancer therapeutics. Skills in computational coding and creativity in scientific method design, together with high interest in computational cancer medicine, are critical.

Only shortlisted candidates will be notified.

Job Requirements

PhD in computer science or computational biology, with skills and research experience in AI and deep learning.