Job Description

Perform a variety of research activities which include planning, organizing, and conducting research studies under the supervision of the Principal Investigator (http://www.digitalmedicinelab.org/):

• Apply statistics, machine learning, and deep learning to analyse various types of clinical data such as large-scale electronic health records, bio-signals, and/or medical images (MRI, CT, X-ray).
• Conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact in medical informatics and health data science.
• Write high-quality technical/methodological research papers, present research outcomes and develop connections with local and international researchers for collaboration work.
• Provide guidance and mentorship to junior researchers and graduate students, and get involved in occasional educational/instructional activities.
• Perform other academic duties as required by the Principal Investigator.

Job Requirements

• Bachelor’s Degree / Master’s Degree in Statistics / Biostatistics / Computing / Engineering / Epidemiology with good mathematical knowledge and extensive research experience in machine learning and statistics.
• Proven record of publications in reputable journals and/or good machine learning and data science conferences.
• Possess good programming skills in R and Python.
• Have interests in applying statistics and machine learning to solve real-world medical problems.
• Willing to conduct independent research as well as support team research activities.
• A strong team player with the ability to work harmoniously with a diverse workforce.

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 Research Associate will oversee the planning, implementation, and tracking of multiple research projects within the Centre for Innovation and Precision Eye Health. This role requires a strong understanding of research methodologies, exceptional organizational skills, and the ability to manage multiple stakeholders. The candidate will be responsible for ensuring that research projects are completed on time, within scope, and in line with the association’s strategic goals.

Main duties and responsibilities

• Planning & Coordination:

Coordinate and manage the day-to-day operations of research projects and the centre, ensuring adherence to protocols and deadlines.

Collaborate with internal and external stakeholders, including researchers, academic institutions, funding bodies, and partners.

Develop detailed project plans, including timelines, resource allocation, milestones, and deliverables.

Plan and coordinate academic meetings and events

• Project Execution & Management:

Oversee the execution of multiple concurrent research projects, ensuring that objectives are met within budget.

Monitor project progress and address potential risks or bottlenecks proactively.

Ensure proper documentation of all project activities, results, and changes to project scope

Assist Centre’s Director in scheduling meetings and grant management

Main duties and responsbilities

• Team Leadership & Communication:

Lead cross-functional project teams and provide clear direction on project goals and responsibilities.

Foster collaboration and communication between researchers, data analysts, and support staff.

Prepare and present regular progress reports, updates, and findings to senior management and stakeholders.

• Budgeting & Financial Management:

Manage project budgets, ensuring efficient use of resources and adherence to financial protocols.

Monitor project expenditures, approve invoices, and ensure timely financial reporting.

• Grant Writing & Reporting:

Assist with the preparation and submission of grant applications and proposals.

Track and report on grant deliverables and outcomes as required by funders and sponsors.

Qualifications

• Master’s or PhD degree in a relevant field (e.g., Public Health, Data Science, or related disciplines).
• Minimum of 3-5 years of project management experience in a research or academic setting.
• Demonstrated experience in managing complex, multi-disciplinary research projects.
• Experience with grant writing and managing grant-funded projects is highly desirable.
• Proficiency in research methodologies, data management, and statistical analysis.
• Budget management experience and financial acumen.
• Ability to work independently, as well as part of a team, and manage multiple stakeholders.
• Familiarity with research ethics, compliance standards, and IRB processes.
• Experience in ophthalmology, data science or AI research, etc.
• Experience with data management software and platforms (e.g., REDCap, SPSS, R).

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 Barbaros Oezyilmaz and Dr Toh Chee Tat on for lab support, sample preparation and characterization under a project on Synthesis and application of atomically thin amorphous materials on the surface of 2D semiconductors as a protective and seed layers for other

The main responsibilities of the position include:

1. Synthesis of multilayer MAC films on the surface of 2D crystals, insulators and other substrates. Their analysis by Raman spectroscopy, AFM, Ellipsometry.
2. Test of the application of ML-AC as a seed layer for ALD grown insulators.
3. Perform impedance spectroscopy to probe dielectric properties of dielectrics deposited on the surface of MAC.
4. Data analysis and physical interpretation of the results.
5. Manage lab safety, equipment maintenance and operations.
6. Meet key deliverables for industry collaboration.

Qualifications

Qualifications / Discipline:

Bachelor's or Master's degree in materials science, microelectronics, or a related field.

Skills:

Strong verbal communication skills in English, ability to solve problems and generate new ideas

Experience:

1. One year hands-on experience in lab
2. One year internship/research assistant or any equivalent in lab
3. First-hand experience with operation and maintenance of CVD reactors and vacuum systems
4. Experience with electronics and the use of clean room is desirable

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

ROLE:

A*Star-IME is currently working on establishing a hybrid fabrication platform for 150mm and 200mm Silicon Carbide (SiC) power MOSFETs as a new pillar on Singapore"s Future of Microlectronics in wide-bandgap. The main objective of this SiC RnD program is to advance 200mm SiC technologies in various areas, such as epitaxy, device design, process integration & fabrication, and power module packaging. The ultimate aim is to drive disruptive innovations in power device research, specifically focusing on >1.7KV power MOSFETs. These innovations will have significant applications in enhancing automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. Key aspects for this role to be successful include the development and integration of several process modules, such as gate oxidation, implantation, implant activation, layout design verification, lithography, and ohmic contact formation. We are actively looking for individuals with extensive industry experience in device physics and process integration to join our team. The candidate will contribute to process integration, E-test and module process related data analysis, yield enhancement, and device physics.

RESPONSIBILITIES:

• Lead develop process technology for SiC power MOSFETs and ensure it meets the requirements for prototyping manufacturing

• Collaborate with advanced process module development team to establish a process flow for fabricating specific MOS devices

• Responsible to develop and improve test structures that enable fast and rigorous characterization of process

• Accountable to improve device performance and yield through the design, execution, and analysis of experiments for each specific device and product

• Work with cross-functional teams to minimize defects and address technical and yield concerns

• Drive CIP (Continuous improvement plans) to deliver integrated process modules and specific device per project goals

• Make decisions regarding the delivery of process, active and passive devices to multiple customers

REQUIREMENTS:

• MS/PhD Degree in Electrical Engineering or related field

• >3 years industrial experience for MOSFET process integration and device physics

• Proactive, self-motivated, and results-oriented professional with the ability to make efficient contributions to and lead technical discussions

• Extensive expertise in material and process integration

• Comprehensive understanding of semiconductor materials and the physics of MOSFET devices

• Strong communication skills to effectively communicate information about module integration for device fabrication and with customers

• Excellent analytical skills for interpreting process and device data, coupled with strong presentation abilities

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field with at least 5 years of relevant experience.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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.

About us:

Data science is an important component of biomedical and translational research, where data of multiple modalities are being constantly generated at unprecedented scale. The Research Data Integration group in the Biomedical Datahub Division of the Bioinformatics Institute (BII), A*STAR, aims to bridge the complexity of computational biology and data science with the needs of biologists and clinicians to drive biological discoveries and predict translational outcomes. One of our immediate challenges is to analyze and integrate and analyze multi-omics, imaging and clinical data generated by biomedical institutes in A*STAR, healthcare institutions and national initiatives in Singapore to improve the usability and interpretability of large-scale multimodal datasets of cancer, metabolic diseases, and other diseases. We seek motivated individuals to join us to push the potential of biomedical data in truly benefitting patients.

Job description:

We are developing data platforms in BII Biomed DAR, integrating healthcare data including clinical and research data, for various diseases including cancer, metabolic diseases and skin diseases. We are seeking a computational scientist to develop analytical, statistical and machine learning methodologies and workflows for analysis and integration of large-scale multi-dimensional omics (bulk, single-cell, spatial), perturbation screens, imaging and clinical data) for these data platforms. The candidate is expected to drive data science research to uncover underlying diseases biology, druggable targets and develop personalized medicine approaches. This position offers the candidate an opportunity to work closely with a team of clinicians, wet-lab scientists and computational biologists. He/She is also expected to drive high impact publications and manage large-scale projects, include data management.

Requirements:

• PhD in Bioinformatics, Computational Biology, Data Science, Computer Science, Mathematics, Engineering or a related field.
• Proficient programming skills (e.g. Python, R, RStudio, Jupyter Notebook, Shinyapps).
• Familiarity with Unix/Linux environment and cloud architecture (AWS).
• Experience in large-scale omics (bulk, single-cell, spatial) data analysis and/or AI/ML.
• A background in life sciences, biology or biomedical informatics is preferred.
• Knowledge in data standards and interoperability.
• Strong analytical and problem-solving skills.
• Excellent oral and written communication and presentation skills.
• Able to work independently, and as part of a team, with a positive and enthusiastic learning attitude.
• Competent project and data management and organizational skills will be very valuable.

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.

Job Description

Perform a variety of research activities which include planning, organizing, and conducting research studies under the supervision of the Principal Investigator (http://www.digitalmedicinelab.org/):

• Apply statistics, machine learning, and deep learning to analyse various types of clinical data such as large-scale electronic health records, bio-signals, and/or medical images (MRI, CT, X-ray).
• Conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact in medical informatics and health data science.
• Write high-quality technical/methodological research papers, present research outcomes and develop connections with local and international researchers for collaboration work.
• Provide guidance and mentorship to junior researchers and graduate students, and get involved in occasional educational/instructional activities.
• Perform other academic duties as required by the Principal Investigator.

Job Requirements

• Bachelor’s Degree / Master’s Degree in Statistics / Biostatistics / Computing / Engineering / Epidemiology with good mathematical knowledge and extensive research experience in machine learning and statistics.
• Proven record of publications in reputable journals and/or good machine learning and data science conferences.
• Possess good programming skills in R and Python.
• Have interests in applying statistics and machine learning to solve real-world medical problems.
• Willing to conduct independent research as well as support team research activities.
• A strong team player with the ability to work harmoniously with a diverse workforce.

We regret that only shortlisted candidates will be notified.

Job Description:

The Signature Research Programme in Health Services and Systems Research is looking for candidates with either undergraduate or masters training in economics or related disciplines to support our growing portfolio of econometric / statistical analysis and decision analytic modelling projects.

This position will report directly to Senior Health Economists in the Health Economics Lab and offers an excellent opportunity to develop and refine in demand skills in applied health economics and to be co-author on publications. Successful candidates will assist with high value health economic research endeavours and perform a variety of functions, such as:

• Execute econometric and other statistical analyses.
• Build decision trees and markov models for use in cost effectiveness analyses.
• Conduct literature reviews.
• Prepare sections of surveys, analysis plans, manuscripts, reports and grant proposals with a goal toward producing high quality research outputs.
• Assist with teaching for relevant related modules.
• Perform other related duties assigned by the Principal Investigators in support of these efforts.

Job Requirements:

• Bachelor’s Degree / Master’s Degree in Economics, Health Economics or other related disciplines.
• Prior research experience in Health Economics / Econometrics is highly desirable.
• Have experience in quantitative data and statistical analyses (preferably with health-economic data) with modelling packages such as STATA.
• Proficient with Microsoft Office Suite.
• Possess strong verbal and written communication skills in English.
• Able to multi-task and work productively in teams

We regret that only shortlisted candidates will be notified.

Job Description

The Laboratory for Translational and Molecular Imaging (LTMI) at Duke-NUS Medical School is looking for a Research Assistant to support in vitro and in vivo research efforts surrounding nuclear and optical imaging. The LTMI group advances state-of-the-art small animal imaging platforms and fosters the translation of molecular imaging probes and associated technologies. Multimodal in vivo imaging techniques are employed at LTMI, including computed tomography (CT), positron emission tomography (PET), single photon computed tomography (SPECT), and fluorescence imaging.

• Perform molecular biology experiments (e.g. PCR, Western blot) and live cell assays.
• Maintain cells, creating cell banks, and perform quality control.
• Handle radioactive and infectious (live virus) materials for in vitro and in vivo studies.
• Animal handling, including cancer cell implantation and injection of test materials.
• Perform ex vivo assessment including but not limited to histology (e.g. IHC, IF, H&E staining).
• Carry out laboratory experiments according to SOPs.
• Ensure accurate monitoring, documenting and reporting of experimental results and research findings.
• Assist in procurement and inventory of equipment, chemicals, reagents, and consumables.
• Assist in management of multiple projects.
• Maintain laboratory records (MSDS, chemical, biohazard) and assist in preparation of SOPs.

Job Requirements

• Bachelor’s or Master’s Degree in Molecular Biology, Biology, Biochemistry or a related scientific area with at least 2 years of relevant research experience and training.
• Experience in Cell culture, molecular biology, in vitro assays and tissue analysis required.
• Certified in animal handling, preferably with RCULA certificate.
• 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 Signature Research Programme in Health Services & Systems Research (“HSSR”) in Duke-NUS Medical School is a centre of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’s focus is on public health and clinical service innovation in an increasingly complex and connected world. The major research focus of HSSR is the organisation and delivery of health and social services in the context of an ageing population. The research methods include decision science and simulation modelling, survey research, qualitative research, health economics, and implementation science and evaluation. We are also developing a range of education activities for health care professionals including short courses, graduate certificates, Masters course and PhD programmes.

A Senior Research Fellow position is currently available, and the successful candidate will be expected to perform a variety of research activities which include but not limited to the following: -

• Build up an Implementation Science core in HSSR and Health Services Research Institute (“HSRI”)
• Bring in grants in collaboration with our collaborators.
• Support research activities relevant to the scope of HSSR and HSRI.
• Be responsible for project management.
• Perform other related duties incidental to the work described herein or as assigned by the supervisor.

Job Requirements

• PhD in Public Health or Health Services Research.
• Minimum 3 years of postdoctoral work experience.
• Prior experience in healthcare would be advantageous.
• Possess strong writing and critical thinking skills.
• Have excellent communication (verbal & written) and interpersonal skills.
• Action-oriented, highly motivated, and target-focused.
• Able to work both independently and as a team player in a diverse workforce.

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 National University of Singapore invites applications for a Research Assistant position in Dr Mohammad Alfatah’s lab, part of Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine. The lab focuses on discovering anti-aging interventions to delay ageing and chronic disease onset, increase healthspan and improve life quality. Appointments will be on a 1-year contract in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will be responsible to and work closely with Dr Mohammad Alfatah to provide support in research projects with a specific focus on discovering chemical (drugs, natural products, metabolites, etc) and genetic anti-aging interventions. This includes assessing the effectiveness of potential compounds in various age-related disease models.

Main Duties and Responsibilities

1. Perform daily basic chemical and genetic high-throughput screening in yeast and human cells, molecular biology experiments related to DNA, RNA, protein and cell culture work.
2. Conduct literature searches, experimental plans, and data analysis independently and reliably.
3. Oversee the general management of the lab including managing inventories of chemical, cell lines and instruments.
4. Provide administrative support to the project, maintain communication and collaboration with other members of the research team.
5. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

• Bachelor’s degree and/or Master’s degree in Life Sciences, Biomedical Science, Molecular Biology, or a related discipline.
• Able to work independently and in a team as well, self-motivated with initiative and keen to learn new techniques.
• Previous experience in laboratory work, particularly in cell culture and in molecular biology techniques is preferred.
• Experience in bioinformatics, particularly with programming skills in Python and R, would be a plus.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Mohammad Alfatah at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees.

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

A Research Assistant position is available to investigate the role of epigenetic modifiers in rhabdomyosarcoma.

Qualifications

Self-motivated candidates with a recent Bachelor’s degree and experience in molecular biology and/or familiarity with bioinformatics are encouraged to apply.

Interested candidates should send their CV and names of three referees.

For more information, please visit our website:

https://medicine.nus.edu.sg/phys/lab/Tanejas_Lab/index.html

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

We are seeking a highly motivated and detail-oriented Research Assistant to join our team at the forefront of iPSC biobanking. The successful candidate will play a pivotal role in the collection, characterization, and maintenance of induced pluripotent stem cell lines, contributing directly to cutting-edge research initiatives in regenerative medicine, disease modeling, and drug discovery.

Responsibilities

1. iPSC Reprogramming

• Execute established protocols for the reprogramming of iPSC lines.
• Collaborate with researchers to further optimize workflow for reprogramming.
• Explore alternative workflows for reprogramming.

2. iPSC Culture and Maintenance:

• Execute established protocols for the culture and expansion of iPSC lines.
• Monitor cell growth, viability, and quality control parameters.
• Perform routine passaging and cryopreservation of iPSCs.
• Maintain accurate records of cell culture activities.

3. iPSC Characterization:

• Conduct immunocytochemistry, flow cytometry, and molecular biology techniques to assess pluripotency and differentiation potential of iPSC lines.
• Perform karyotyping and other cytogenetic analyses to ensure genomic stability.
• Collaborate with researchers to design and implement experiments for iPSC characterization.

Responsibilities

4. Biobanking Operations:

• Coordinate sample collection, processing, and storage according to standardized protocols.
• Label, track, and catalog iPSC samples in the biobank database.
• Implement quality control measures to ensure sample integrity and compliance with regulatory requirements.
• Assist in the development and optimization of biobanking workflows.

5. Data Management and Analysis:

• Compile and organize experimental data, including cell culture records, characterization results, and biobank inventory information.
• Analyze data using statistical methods and assist in the preparation of research reports and presentations.
• Contribute to the maintenance and updating of laboratory databases and electronic notebooks.

Responsibilities

6. Laboratory Support:

• Maintain cleanliness and orderliness of the laboratory.
• Assist in the procurement and organization of laboratory supplies and reagents.
• Support other members of the research team in experimental procedures and technical troubleshooting.

Qualifications

• Bachelor's in Biology, Biochemistry, Molecular Biology, or a related field.
• Hands-on experience in cell culture techniques, preferably with human pluripotent stem cells.
• Familiarity with basic molecular biology and cell biology techniques (e.g., PCR, Western blotting, immunocytochemistry).
• Strong organizational skills and attention to detail.
• Ability to work independently as well as part of a collaborative research team.
• Prior experience in biobanking or sample management is advantageous.
• Knowledge of relevant safety protocols and regulatory guidelines in cell culture and biobanking is desirable.

This position offers an exciting opportunity to contribute to groundbreaking research in iPSC biology and biobanking, with potential for career development and growth within our dynamic research environment.

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

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

We regret that only shortlisted candidates will be notified.

About Asian Institute of Digital Finance

The Asian Institute of Digital Finance (AIDF) is a university-level institute in the National University of Singapore (NUS), jointly founded by The Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be a thought leader, a FinTech knowledge hub, and an experimental site for developing digital financial technologies as well as for nurturing current and future FinTech researchers and practitioners in Asia.

Duties and Responsibilities

The successful candidate will play a critical role in supporting AIDF’s research efforts by maintaining AIDF’s IT infrastructure and enhancing the Institute’s IT capabilities. This job role will include:

• Optimisation and maintenance of AIDF’s servers, hardware, websites and database subscriptions to meet our core objectives
• Provide IT infrastructure and software systems assistance for AIDF colleagues and research partners
• IT support for research and office administration
• Event support: Help with IT set-up and other tasks as required

Qualifications

• Bachelor Degree in Networks and Telecommunication or related fields
• Knowledge of Basic Server Management a plus
• 2 years of minimum experience

Objectives:

Implement projects to genetically modify microorganisms, includingimprovements to existing Company mutants as well as generating new product prototypes;

• Perform research duties including molecular cloning, microbial genetic manipulation, high-throughput protein expression screening, mammalian cell experiments, and activity assays of recombinant products;
• Perform laboratory duties, including culture vessel cleaning, pipette tip preparation, documentation, inventory, ordering, etc;
• Participate in project management;
• Perform in silico genetic construct and protein design;
• Perform literature research;
• Mentor interns.

Requirements:

Essential is experience with molecular cloning, E coli genetic modification, PCR.

The SingHealth Duke-NUS Global Health Institute (SDGHI) is an enabling 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 ASEAN member states and in other Asian countries. Working in collaboration with partners, SDGHI seeks to tackle prevalent health challenges, strengthen health systems and better insulate countries from pandemics and disease threats.

We are recruiting a Research Assistant to support the Regional Collaborating Centre team that is responsible for setting up hubs in the region that aim to consolidate, coordinate and catalyse global health projects.

The selected candidate will be expected to work collaboratively across functional departments at Duke-NUS Medical School and SingHealth, and with key internal and external stakeholders. The incumbent should ideally be comfortable working in a matrixed team and be ready to work in a fast-moving, fast-changing and dynamic environment.

The responsibilities of the role are to: -

• Provide support to the grant management process, monitoring progress of research projects and grant utilisation
• Provide regular progress reporting of potential, new and ongoing global health projects.
• Contribute to project management, presentations and publications of global health research work
• Assist with literature review in various global health research projects
• Assist with managing and facilitating receipt of grants and donations and track their utilisation.
• Facilitate and coordinate meetings between Principal Investigators within the AMC and partnering institutions in the region.
• Support the organisation of visits by and to partnering institutions with SingHealth’s International Collaboration Office.

Job Requirements:

• Bachelor’s Degree in Health Sciences, Social Sciences or other related disciplines with an aptitude for research
• Minimum 2 years of relevant work experience. Entry level candidates may also be considered
• Knowledge in health sciences will be beneficial.
• Prior experience working with institutions in low and middle income countries, preferably in Asia, would be advantageous.
• Demonstrated ability to interact and work with stakeholders and team members across various functions and levels in the organisation.
• Highly motivated individual and able to work independently in a fast-paced multidisciplinary setting with strong organisational and management skills.
• A good command of written English is required for this role.

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 successful candidate will work with Asst. Prof. Yang Liu on conducting research under a project on “In-Context Learning for Scientific Problems”.

The main responsibilities of the position include:

1. Develop AI algorithms for the research project
2. Implement the algorithms with Python
3. Train AI models and conduct numerical experiments
4. Write papers

Qualifications / Discipline:

- Bachelor’s degree in Mechanics, Computer Science, Mathematics, or other related disciplines

Skills:

- Programming with Python and PyTorch, LaTeX

Experience:

- Experience in conducting research on computational methods will be preferred.

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 Research Assistant for “Identifying Transcriptomic and Epigenomic Impacts of Type-2 Diabetes on Aortic Arteries with Single-Cell Resolution” in the Department of Biomedical Informatics, Yong Loo Lin School of Medicine. The Genomic Data Science Lab combines QTL, single-cell, and spatial transcriptomic approaches to unravel the molecular mechanisms of polygenic diseases. More information on the lab is available at www.boxiangliulab.com. Appointments will be made on a two-year contract basis, with the possibility of extension based on project needs and satisfactory performance.

Purpose of the post

The successful candidate will work with Dr. Boxiang Liu on the development of novel computational models and the analysis of single-cell and spatial transcriptomics data.

The Research Assistant will be responsible for bioinformatics data analysis and report directly to the Principal Investigator (PI). The RA will be able to:

• Perform single-cell and single-nucleus RNA-seq analysis;
• Conduct spatial transcriptomic data analysis;
• Design novel statistical methods for single-cell and spatial transcriptomic data;
• Maintain high standards of professional conduct and data management;
• Assist with other tasks as delegated by the PI.

Qualifications

1. Qualifications / Discipline: Master or bachelor degree in a relevant discipline (including computer science, statistics, genomics, bioinformatics, biology, drug design, etc)
2. Skills: Computer Science / Statistics / Genomics / Bioinformatics
3. Experience: Statistical modelling, single-cell, QTL, and other genomic data analysis

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr. Liu at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations.

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 National University of Singapore invites applications for 5 Research Fellow positions in the Department of Diagnostic Radiology, Yong Loo Lin School of Medicine. Appointments will be made on a 2 years contract basis.

The Department of Diagnostic Imaging (DDI) is the clinical service department in the National University Hospital (NUH). With the formation of the National University Health System (NUHS), both clinical and academic departments come under a common governing structure. NUHS was incorporated on 23 January 2008 to integrate education, research and clinical care.

Purpose of the post

The PI lab aims to develop in vitro diagnostics, in vivo imaging and nanobiotechnology with emphasis on molecular imaging tools and drug and gene delivery techniques. The Visiting Fellows will be responsible to, and work closely with, the Principal Investigator and the team members to undertake independent and/or collaborative research and to lead on aspects of research strategy within the lab.

The Research Fellow will be able to:

1. Independently undertake advanced research in the relevant discipline area using, or developing, the appropriate methods and/or techniques;
2. Lead and promote activities designed to develop collaborative research with research colleagues and support staff internally and to actively develop appropriate external contacts and networks relevant future collaboration and funding opportunities; Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
3. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

Applicants should possess a Ph.D. or M.D. (preferably in biochemistry, pharmaceutical sciences, life sciences, radiology or biomedical engineering), with previous experience in designing research projects. A detailed knowledge of molecular imaging probes and/or nanomedicine is mandatory. Ability to design and perform scientific work independently and collaboratively is a must, as is the ability to thrive in a fast-paced environment. Experience with chemistry and radiochemistry, cell culture, animal handling, small animal imaging, and translational research is highly preferred but not required. Motivation and drive to work hard and learn new skills are most important.

Remuneration will be commensurate with the candidate’s qualifications and experience.

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 National University of Singapore invites applications for Research Assistant in the Centre for Behavioural and Implementation Science Interventions (BISI), Yong Loo Lin School of Medicine. The centre aims to improve population health and well-being and healthcare delivery by accelerating evidence-based practice through the use of behavioural and implementation science. More information on the centre is available at https://medicine.nus.edu.sg/bisi/ . Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The incumbent will work closely with the principal investigator (PI) to support research in BISI and contribute to the centre’s research and education strategies. He/she would be the point of contact between staff, external parties (i.e. stakeholders, collaborators) and the PI. He/she will work with a team of researchers and admin staff on a regular basis to assist with research projects.

Main Duties and Responsibilities

This is a regular full-time position of which the contract is renewable, subject to performance.

The key job responsibilities are as follow:

1. Assist with research administration to ensure that research and related activities are performed in accordance with institutional regulations and sponsoring agency policies and procedures, including preparation of ethics and other regulatory/institutional documents and maintenance of PI file as required.
2. Assist with research activities led/appointed by the PI such as study management, monitoring and tracking study budget and timelines, answering questions related to the study and working with other researchers/PIs.
3. Provide administrative support to the PI.
4. Procure or acquire materials needed for research and liaise with vendors.
5. Assist with data collection or analysis as required in BISI research projects.
6. Perform other related duties incidental to the work or as assigned by the leadership.

Qualifications

The applicant should:

• A good degree in any relevant discipline
• Relevant experience within an academic or healthcare setting is advantageous.
• Working knowledge in research ethics and HBRA is advantageous.
• Experience with research project management
• Excellent command of spoken and written English.
• Strong interpersonal and communication skills and an ability to operate effectively within a diverse group of internal and external stakeholders.
• Technologically savvy and proficient in Microsoft applications like Word, TEAMS, Excel and Power-point

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Huang Weilin at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees.

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.

ASIA RESEARCH INSTITUTE

The Asia Research Institute (ARI), National University of Singapore (NUS), invites applications for one full-time Research Fellow to work on a major research project funded by the Social Sciences Research Council (SSRC) Singapore, under its Thematic Grant programme, entitled Climate Governance of Nature-based Carbon Sinks in Southeast Asia. The position is available on a full-time basis for two years.

RESEARCH PROJECT (CLIMATE GOVERNANCE)

This project places social sciences scholarship at the core of climate governance strategies involving Nature-based Carbon Sinks (NCS), defined as ecosystems that absorb and store more carbon than they release. The geographical focus of the project is on Southeast Asia, a region rich in carbon sequestration potential where the socio-spatial relations, economic realities and land use regimes that underpin the medium to long-term effectiveness of NCS in mitigating climate change remain critically understudied. The project aims to strengthen linkages between the natural and social sciences by assessing the optimal arrangements for governing NCS at and across a range of spatial and administrative scales. With its focus on the governance of different types of NCS found in terrestrial and mangrove forests, peatlands and agricultural soils, the project will locate technologies of NCS governance within the socio-spatial contexts, power asymmetries and institutional cultures that shape their success or failure. In these ways, this policy relevant research will contribute to ongoing efforts by Singapore and other ASEAN countries to adapt and build resilience to climate change challenges by developing low-carbon initiatives with social, economic and environmental co-benefits.

The successful candidate recruited as a Research fellow will join a large interdisciplinary research team that includes a Senior Research Fellow, two other Research Fellows, a Research Associate and three PhD students funded through the same project. In addition to activities associated with ARI, the successful applicant may wish to participate in research group meetings and departmental seminars in the Department of Geography and the Centre for Nature-Based Climate Solutions (CNCS) at NUS.

ROLES AND RESPONSIBILITIES

The focus of this Research Fellowship is on the climate governance of:

(1) peatlands;

(2) areas of adjacency between peatlands and mangrove forests; and

(3) non-peat (mineral) urban soils.

The research component on low-carbon governance in peatlands connects to Singapore’s national interest of promoting sustainable peatland development in neighbouring countries to limit biomass burning that contributes substantially to transboundary haze pollution and GHG emissions. The component on peatland-mangrove connectivity engages with holistic approaches to wetland governance in Southeast Asia that could help to safeguard their sink functions, among other vital ecosystem services. The non-peat, urban soil component involves citizen Science with a Singaporean non-for-profit organisation invested in urban composting and food security.

JOB REQUIREMENTS

The appointed RF will hold a PhD (or be waiting conferment) in a relevant area of the social or natural sciences. The successful RF will undertake research on governing carbon stocks in wetlands and/ or agricultural soils, and will ideally have relevant experience of research in this field. The RF will preferably have experience of carrying out research in Asia, although this is not essential. In addition, s/he will have a record of publication in widely-regarded outlets and be expected to publish project-focused articles in international journals with high impact. The successful applicant will write one agenda-setting paper on integrated wetlands/landscapes, lead individual and collaborative research, organise one themed conference panel, and present research findings at international conferences. S/he will provide mentorship and contribute to the development of PhD students funded through the project.

TERMS AND CONDITIONS

1. Two-year contract commencing immediately for suitable applicant.
2. A competitive salary and excellent working environment.
3. All salary and benefits-in-kind are subject to taxation in accordance with Singaporean tax laws.
4. Other benefits that NUS provides and information about living and working in Singapore are available at Potential Hires

*Terms and conditions, according to university guidelines, are subject to change without prior notice.

APPLICATION PROCEDURE

To apply for this position, please combine the following documents in 1 PDF :

• Letter of application
• Full Curriculum vitae, including the names of three referees who would be prepared to provide confidential references, one of whom should ideally be the PhD main or co-advisor.
• Academic certificates and transcripts.
• A write-up, of no more than 800 words, explaining the candidate’s past research experience and aptitude in relation to the research project.

For further enquiries about the position, please contact Dr. Michelle Miller: [email protected]

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 one highly motivated Research Assistant to join our dynamic team at the Synthetic Biology for Clinical and Technological Innovation (SynCTI), Synthetic Biology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore (NUS) and the National Centre for Engineering Biology (NCEB).

The selected Research Assistant will work collaboratively with the Principal Investigator (PI) and our research team on projects aimed at advancing sustainable bioproduction. Appointments will be initially made on a 1-year contract, with the possibility of extension.

Ideal candidates will possess experience in microbial engineering and the development of cell factories for bioproduction. We particularly encourage applicants with a background in metabolic engineering, genome editing and bioprocess development for biochemical production. The successful candidate will assume a pivotal role in advancing the frontier of synthetic biology to address real-world challenges.

Join us in shaping the future of innovative biotechnology and making significant progress towards sustainability and technological advancement!

Main Duties and Responsibilities

The Research Assistant is expected to:

1. Develop biological parts and genetic tools for engineering of microbial chassis such as non-conventional microbes;
2. Engineer microbes for industrial applications in production of industrial-relevant biochemicals;
3. Provide technical support to research fellows, and graduate students working in the group;
4. Assist in any other duties that are delegated by the Principal Investigator and group leaders.

Qualifications

The applicant should:

1. Hold a Bachelor’s degree in Biotechnology, Biological Sciences, Chemistry, Biochemistry or related disciplines;
2. Have basic knowledge and hands-on experience on biotechnology, biochemistry or metabolic engineering of microbes for the production of value-added biochemicals;
3. Be able to work independently and in a team and have an investigative nature and is attentive to details.

Remuneration will be commensurate to the candidate's qualifications and experience. Informal enquiries are welcome and should be made to Ms Suhana Sulaiman, at [email protected].

Formal application: Please submit your application, indicating job reference number and current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of 3 referees). 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 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 in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, 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 be responsible for working closely with the Principal Investigator on one or more research projects. In particular, the research fellow will design data security plans in the settings of training a deep learning model, protecting users’ privacy.

Only shortlisted applicants will be notified.

Job Requirements

• A PhD degree in Computer Science or related field
• Has strong publication in computer science, such as ASPLOS, ICSE, FSE, ICML, etc.
• Strong programming skills