Research Fellow position is immediately available at the Hematopoietic Stem Cell Laboratory located at National Cancer Centre Singapore. The Hematopoietic Stem Cell Laboratory laboratory under Prof William Hwang is looking to for RF who can bring the skillset to the hematopoietic stem cell expansion platform.

Education Qualifications:

- PhD with minimum 2 years of relevant experience with specialisation in stem cell culture.

- Good oral and written English.

Relevant Experence:

- Perform induced pluripotent stem cells (iPSCs), hematopoietic stem cells (HSCs) and/ or mesenchymal stromal cells (MSCs) culture.

- Experience with induced pluripotent stem cells is a plus.

- Experience with cell expansion systems (suspension or adherent types).

- Ability to read, analyse and interpret scientific data and publications.

- Ability to author or review protocols, technical reports and technology transfer documents.

- Ability to define problems, collect data, establish facts, and draw conclusions.

- Able to learn new techniques, perform multiple tasks simultaneously, keep accurate records, follow instructions, and comply with company policies.

- Experience in Flow Cytometry, Immunoprecipitation techniques, RNA-seq, 10X genomics, Mass Spectrometry and bioinformatics will be valued.

- Excellent organisational skills.

- Proficient in molecular biology techniques (e.g. DNA and RNA isolation, qRT-PCR, sequence analysis, plasmid cloning, protein analysis and western blot), data analysis (E.g RNA-seq).

- Experience in generation and expansion of iPSC's, T cells, NK cells, HSCs and/or MSCs.

- Immunostaining, microscopy and image analysis (e.g. FISH).

- Experience in handling tissue samples for derivation of cell lines.

- Ensure continuous professional development by keeping up to date with all technical knowledge and skills in line with current best practices.

The following laboratory skills are desirable:

- Stem cell biology and differentiation.

- Transcriptomics, metabolomics and proteomics with advanced bioinformatics analysis.

- Flow cytometry, FACS and high throughput screening analysis.

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

• Fabrication of 2D materials based memristors using mask aligner, electron beam evaporator and shadow masks
• Characterization of 2D materials based memristors using a semi-automatic probe station, semiconductor parameter analyser.
• Characterization at the materials level using SEM, TEM, FIB, XPS, and Raman Spectroscopy.
• Other routinal paperwork related to the correct functioning of the group, including purchases, contract preparation and reimbursements.

Qualifications

• PhD in Materials Science and Engineering plus 3 years postdoc in memrsitors.
• Proficiency in using all the above mentioned machines
• Publications in top journals
• Fluent in English and Chinese language (including read/write) as the candidate is also expected to support applications for funding in collaboration with China (for example, with the NUS - Suzhou Research Institute).

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

For more details, please view https://www.ntu.edu.sg/mse/research.

NTU’s School of Materials Science and Engineering (MSE) seeks a highly skilled and innovative researcher to drive advancements in small molecule electroconversion, with a strategic focus on ammonia. The role involves integrating expertise in computational modeling, machine learning, materials synthesis, and characterization to develop cutting-edge, sustainable solutions in energy systems. This position supports NTU MSE’s mission to lead world-class research that addresses pressing global challenges in energy storage and environmental sustainability. The successful candidate will contribute to high-impact publications and pioneering projects that reinforce NTU’s leadership in transformative research.

Key Responsibilities:

• Conduct research to design and develop advanced electrode materials and catalytic systems for small molecule electroconversion, focusing on ammonia.
• Utilize computational tools, such as Materials Studio, along with machine learning techniques (Python, Matlab), to simulate and optimize material properties and reaction mechanisms.
• Synthesize and characterize materials using advanced techniques, including XRD, Raman spectroscopy, TEM, and XAFS, to evaluate structural stability and performance.
• Perform electrochemical testing and develop protocols to assess catalytic and energy storage efficiency.
• Integrate experimental results with machine/deep learning and theoretical insights to identify and understand new reaction mechanisms.
• Publish findings in high-impact journals and present at international conferences to enhance NTU’s academic reputation.
• Collaborate within multidisciplinary teams to ensure project milestones are met and contribute to the the project research goals.
• Lead and contribute to innovative solutions addressing challenges in electrochemical processes for sustainable energy systems.

Job Requirements:

• Ph.D. in Chemistry, Materials Science, or a closely related field, with a strong focus on electrochemistry, catalysis, or energy materials.
• Expertise in material synthesis, advanced characterization (XRD, Raman, TEM, XAFS), and electrochemical testing methodologies.
• Proficiency in computational modeling tools and machine learning (Python, Matlab) for predictive and analytical purposes.
• Demonstrated research background in designing and optimizing electrode materials and catalytic systems for energy applications.
• Strong publication record with papers in high-impact journals, showcasing significant contributions to material science and electrocatalysis.
• Problem-solving skills with a demonstrated ability to integrate experimental and theoretical approaches to address complex research challenges.
• Familiarity with electrochemical cell assembly/design, testing, and visualization tools (e.g., Photoshop).
• Proven organizational and project management capabilities to deliver impactful and timely research outcomes.

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

Duke-NUS embodies a strategic partnership between Duke University and National University of Singapore (NUS). It works closely with the Singapore Health Services (SingHealth) cluster which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. Together, Duke-NUS and SingHealth form an Academic Medical Centre that comprises a number of academic collaborations.

The Signature Research Programme in Health Services and Systems Research (HSSR) at Duke-NUS is a center 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 selected candidate will work with a health economics team providing qualitative research method support to various research activities. They will be required to conduct interviews, focus groups and relevant qualitative analysis, mainly with patient groups, clinicians and healthcare stakeholders. The activities will be relevant to the evaluation of healthcare interventions and care models, including but not limited to:

• Interview clinicians and patient groups
• Manage protocols development for research projects and IRB applications.
• Develop interview guides, plan and conduct all relevant qualitative data collection activities.
• Use appropriate software to collect, manage and analyse qualitative data.
• Manage transcribing activities.
• Conduct literature reviews to find information for new research ideas.
• Assist in the preparation of evaluation reports for the health economics team.
• Extract data from existing databases and published literature.
• Manage projects from start to end with guidance (i.e. develop research objectives and study design, perform data extraction and data collation, conduct data modelling, perform analysis and engage and collaborate with various stakeholders).
• Assist in drafting research abstracts and manuscripts.
• Assist in the preparation of PowerPoint presentations to various stakeholders.
• Support the secretariat and administrative functions of the health economics team.

Job Requirements

• Master’s Degree in Public Health or other related fields
• Minimum 2 years of working experience in Singapore’s healthcare/ research setting
• Experience in Singapore IRB applications
• Adept at collecting and working with qualitative data.
• Prior experience in various qualitative research methods and health services-related research will be advantageous.
• Proficiency with NVivo would also be an advantage.
• Possess excellent verbal and written communication and interpersonal skills.
• Able to work independently with limited supervision and in a team, with dynamic reporting lines and multiple stakeholders.
• Action-oriented, highly motivated, and target-focused.

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 open in the research group of Prof. Shuzhi Sam Ge at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Assistant will work closely with the Principal Investigator (PI) on one or more research projects about Robust AI.

Job Description

This project will combine the strengths of machine learning and control theory and consider the complex dependencies among different sensor inputs to build a robust multimodal AI system that can serve safety-critical applications.

The successful candidate is required to:

• To prepare and meet the project deliveries and milestones;
• Conduct research on Robust AI for autonomous vehicles that can ensure the reliable computer vision of autonomous vehicles under adversarial attacks, or Digital Twin development (3D reconstruction, Generation, etc).
• To advance the knowledge, to publish in journals, conferences, or patents;
• To prepare and meet the project deliveries and milestones.

Qualifications

Qualifications

• At least a bachelor's degree and/or master's degree in Computer Science, Engineering, Physics etc, with specialization related to machine learning, computer vision, control science, computer engineering or related field;
• Prior experience in managing project, laboratory or research funding is advantageous;
• Responsible and able to work independently;
• Excellent written and spoken communications;
• Programming skills in one of the programming languages: Python, C/C++, Matlab, etc.
• Open to Fixed Term Contract.

Job Title: Postdoctoral Researcher (3D-printed Injection Molds)

Scope of the Research:

The project aims to investigate the feasibility of fabricating 3D-printed moulds for injection moulding. The objective of the project includes:

• To identify materials and additives used for the process
• To fabricate well-defined micro and nanostructures by additive manufacturing
• To fabricate hierarchical structures with well-defined inner morphologies

• To characterize the properties of the fabricated structures
• To automate the fabrication process
• To modify or develop instruments applicable to the developed process

The researcher will work in an interdisciplinary research team consisting of electrical, chemical, and biomedical engineers, chemists, and materials scientists.

Qualification, Skills, and Experiences:

• PhD (for postdocs) or M.S./B.S. (for research assistants) in chemistry, materials sciences and/or related fields • Experiences in digital fabrication (3D printing, laser cutting, fluid dispensing)
• Experiences in the design and manufacturing of scientific instruments
• Experiences in microfluidics, microfabrication
• Experiences in digital fabrication, CAD, and 3D drawing and modelling
• Good track record of scientific publications
• Excellent written and oral communication skills in English

We are in search of a highly motivated and accomplished Research Fellow to join our team and significantly contribute to our upcoming research project "Empowering Real-World 3D Scene Understanding: Navigating Noise, Distribution Shifts, and Incremental Learning". The successful candidate will collaborate closely with our research team, working on the development of ground-breaking algorithms and methodologies for Real-world 3D scene understanding problems. This role offers an exciting opportunity to engage in cutting-edge research and have a substantial influence on the field.

Responsibilities:

• Undertake research in the field of real-World 3D scene understanding.
• Design and execute experiments to validate the proposed approaches.
• Analyze and interpret data sourced from inputs, including images or point clouds.
• Stay up-to-date with the latest advancements in real-world 3D scene understanding and related fields, and integrate new findings into research projects.
• Prepare research papers for publication in prestigious conferences and journals.
• Deliver presentations on research findings at conferences and other pertinent events.

Qualifications:

• A doctoral degree in Computer Science, Electrical Engineering, or a related discipline, with a specialization on computer vision and machine learning.
• A strong background in computer vision, machine learning, and 3D geometry.
• Proficiency in programming languages such as Python, C++, or MATLAB.
• Experience with relevant software libraries and frameworks, such as Pytorch, OpenCV, or PCL.
• A solid grasp of mathematical concepts related to 3D computer vision, including geometry, optimization, and statistical methods.
• A proven track record of publishing research papers in esteemed conferences or journals.
• Excellent problem-solving and analytical abilities.
• Strong communication skills and the capability to work effectively in a collaborative research environment.

We are inviting applicants for the position of Research Fellow to work on projects at the intersection of artificial intelligence, engineering, and design. The successful candidate will work with researchers from other domains to implement multimodal deep learning models with language, spatial and geometric datasets across the design scales of products, buildings and cities.

Requirements:

• Strong mathematical and data science knowledge
• Strong deep learning programming skills
• Strong interdisciplinary approach in working with large-scale and real-world datasets.
• Strong knowledge in innovation and entrepreneurship

The candidate should hold a PhD in AI, computer science, mathematics, data science, or other related field.

Purpose of Job

This position is responsible to ensure financial standards compliance for all infrastructure-related investment and operating spend.

Central to it is to formulate investments forecasting and budgeting, and tracking of both investment and operating budget fulfilment, and to liaising with internal and external auditing and tax bodies. Expect to handle complex accounting transactions and conduct financial training, when required.

Key Accountabilities:

Compliance and Regulations: Ensure that all space projects and operations comply with the regulations, central accounting policies and industry standards across.

Reporting: Monitor and provide regular financial reports on existing financial position. To provide recommendations and suggestions to ensure the conservations of reserves and mitigation of immediate risks.

Business Partnering / Financial Planning: Consolidate mid-term recurring financial needs and secure the necessary block budget and propose any possible trade-offs for any variations to ensure meeting budget thresholds. Oversee and incorporate individual investments within overall financial plan.

Capital Planning / Financial Analysis: Support the overall space long-term planning goals with necessary financial information and analysis, including but not limited discounted cashflows, sensitivity analysis, return on investments.

Stakeholder Management & Implementation: Collaborate with project and facility team to understand specific needs, align on objectives and provide timely financial advice.

Job Requirements:

• Possess at least 7 years of relevant experience in either financial management or / and equity management related fields
• Background in accounting or finance, or experience in financial planning in construction / facilities management industry would be advantageous.
• Knowledge of different capital investment financial models and ability to interpret investment concepts into different spend categories
• Able to work under pressure and adapt to changes within a fast-paced environment.
• A self-driven and meticulous individual who has the strong ability to multi-task.

We are seeking an experienced Bioinformatics Scientist to support new diagnostics product development and support data analytics in software development for Software as a Medical Devices. In this role, you will play a crucial role in driving the successful execution of diagnostic products in collaboration with external partners. The ideal candidate should possess a strong background in bioinformatics and knowledge of biostatistics is highly preferred.

Job Responsibilities:

• Design, development and deployment of latest bioinformatics analysis pipelines for IVD development.
• Design, development and deployment of Bioinformatics pipelines in multi-omics data such as NGS processing, analysis, and reporting for IVD product development
• Provide Bioinformatics analysis support for diagnostics assay product development.
• Provide Biostatistics analysis support for clinical study of diagnostics product development.

Job Requirements:

• PhD or Degree in Computational Biology, Bioinformatics, or a related field, with a strong emphasis on data analytics and machine learning in biological contexts. 1- 2 years of experience or equivalent in industry settings.
• Proficient in working language with Python, R/Matlab. Good knowledge of bioinformatics workflow languages such as Nextflow, Snakemake and Common Workflow Language (CWL).
• Experience with biostatistical analysis and AI machine learning for biomarker identification and predictive model development.
• Experience with Biopython, Bioconductor, Linux and cloud-based deployment is advantageous.
• Knowledge of statistical software such as Minitab, R, SAS/STAT and SPSS, etc. is a plus.
• Experience with IVD (compliance, validation) is a plus.
• Excellent communication and collaboration skills, with experience working independently and in multi-disciplinary teams.

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.

ISCE2 is seeking a highly motivated Scientist to be part of a dynamic, multi-disciplinary team to develop next generation green and sustainable technology for the biomanufacturing of fine and specialty chemicals. This position offers an opportunity to work enzyme and bioengineering to develop new enzymes for more streamlined manufacturing of complex molecules. The ideal candidate is passionate about science and sustainability, self-motivated, organised, detail-oriented, enjoy laboratory work, and has excellent communication and teamwork skills. The successful candidate may be responsible for but not limited to:

• Design and conduct experiments to optimize the biochemical pathways and/or cellular organism towards production of selected chemicals
• Comfortable in the use of advanced technology, including AI/machine learning to design and engineer enzymes
• Able to lead independent study
• Maintain accurate records, analyze data and present research findings at conferences, meetings, and to internal / external stakeholders
• Supervise and mentor junior researchers in the team
• Establish collaboration with internal and external partners to develop new, cutting-edge technologies and/or improve existing ones
• Devise proposals to seek competitive funding
• Write and publish high impact papers in peer-reviewed journals, alongside preparation of technical disclosures, patent applications
• Manage projects and resources to meet timelines and deliverables
• Represent the institute at industry meetings and events
• Other duties as assigned by the manager

Requirements:

• PhD in in Biochemistry, Microbiology, Biotechnology, Chemical Engineering or Biological Engineering or its equivalent
• Strong background chemical / biological / genomic engineering and/or biotechnology
• Adaptable to team-oriented goals and requirements
• Rigorous data analysis, interpretation, analytical and problem-solving skills
• Excellent oral/written communication, documentation and organization skills
• Meticulous, attention to details and organized
• Ability to prioritize responsibilities and multi-task

ISCE2 offers a challenging and rewarding work environment with opportunities for career development. If you are passionate about science and sustainability, and want to make a difference in the world, we encourage you to apply.

ISCE2 is seeking a highly motivated Scientist to be part of a young, dynamic, multi-disciplinary team to develop next generation green and sustainable technology for the biomanufacturing of fine and specialty chemicals. This position offers an opportunity to work enzyme and bioengineering to develop new enzymes for more streamlined manufacturing of complex molecules. The ideal candidate is passionate about science and sustainability, self-motivated, organised, detail-oriented, enjoy laboratory work, and has excellent communication and teamwork skills. The successful candidate may be responsible for but not limited to:

• Design and conduct experiments to optimize the biochemical pathways and/or cellular organism towards production of selected chemicals
• Comfortable in the use of advanced technology, including AI/machine learning to design and engineer enzymes
• Able to lead independent study
• Maintain accurate records, analyze data and present research findings at conferences, meetings, and to internal / external stakeholders
• Supervise and mentor junior researchers in the team
• Establish collaboration with internal and external partners to develop new, cutting-edge technologies and/or improve existing ones
• Devise proposals to seek competitive funding
• Write and publish high impact papers in peer-reviewed journals, alongside preparation of technical disclosures, patent applications
• Manage projects and resources to meet timelines and deliverables
• Represent the institute at industry meetings and events
• Other duties as assigned by the manager

Requirements:

• PhD in in Biochemistry, Microbiology, Biotechnology, Chemical Engineering or Biological Engineering or its equivalent
• Strong background chemical / biological / genomic engineering and/or biotechnology
• Adaptable to team-oriented goals and requirements
• Rigorous data analysis, interpretation, analytical and problem-solving skills
• Excellent oral/written communication, documentation and organization skills
• Meticulous, attention to details and organized
• Ability to prioritize responsibilities and multi-task

ISCE2 offers a challenging and rewarding work environment with opportunities for career development. If you are passionate about science and sustainability, and want to make a difference in the world, we encourage you to apply.

Position: Sales Administrator (ECS)

Location: Henderson Rd

Working Time: Mon -Thurs (in office), Friday (WFH) - 8.30am - 5.15pm

Salary: $3200 - $3900

REPORTING LINE: Sales Director of Electrical Connectors Division

PURPOSE OF THE POSITION: You work as part of an office-based admin support to the ECS team of 4 sales engineers/director; coordinating between the sales team with customer/prospect visits, calls and e-mail.

• Provide support to Outdoor Sales Team on quotations and proposals
• Manage and follow-up tele-enquiries, email-enquiries
• Handling of incoming calls and collections
• Process of sales orders and ensure orders fulfilment
• Coordinating all deliveries to ensure efficient and effective services to the customers
• Create and maintain both inventory and customer databases
• Conduct mass mailing and tele-marketing periodically
• Assist in organizing exhibitions and seminars as and when needed
• Manage samples, catalogues and flyers
• Any other ad-hoc duties which may be assigned to you from time to time

Skills & Qualifications

• Diploma or equivalent
• Minimum of 3 years experiences in sales admin support
• Proficient in computer knowledge (Microsoft Office)
• Experience in SAP System will be advantage, Training Provided for SAP

✅The Supreme HR Advisory Pte Ltd EA No: 14C7279

✅SAMUEL SIAW Reg No: R24124745

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

This job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

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

This job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The job is to conduct research on the evaluation of pre-trained vision-language models' video understanding capabilities and the utilization of these pre-trained models for video question answering.

Candidate's core responsibilities are:

• Collect data through web crawling and/or crowdsourcing
• Implement baseline methods based on previous research papers
• Implement new methods to improve the performance of large language models
• Conduct experiments to empirically evaluate different methods
• Contribute to the preparation of manuscripts for publication

• Minimum PhD degree in computer science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum 3 years of relevant research experience in video processing, analysis, and research
• Excellent knowledge in large-scale video processing and search
• Good knowledge and experience in system development and engineering
• Good skill in computer programming
• Good knowledge in dataset curation and preparation of dataset for deep learning
• Self-motivated individual who can work independently as well as collaboratively in a team to research and engineer challenging problems

#LI-JN2

Job Responsibilities

• Develop and align strategies to economic and national agenda (e.g. DxD Hub 3.0 in RIE2030 strategy), including strengthening linkages with internal and external stakeholders (e.g. MOH, clinical clusters in setting up satellite programmes).
• Translate overarching DxD Hub’s strategies into an action plan, coordinating across public sector and internal stakeholders and entities to achieve Enterprise’s desired outcomes.
• Set, monitor and report performance and tracking indicators for DxD Hub in alignment with National Platforms Co-ordinating Office and A*STAR Innovation and Enterprise (I&E) division and its operating units and in partnership with finance for financial targets.
• Establish and maintain corporate branding and public awareness of DxD Hub.
• Perform Divisional reporting and communications functions with stakeholders within A*STAR, governing and advisory boards, as well as other public agencies in the ecosystem.
• Review internal operational processes for possible improvements, in alignment with Enterprise and A*STAR best practices.
• Build capabilities of service platforms & drive realization of business outcome.
• Hires, motivates, develops, and retains key talent.
• Develop and deliver accurate reports of operational metrics to the CEO. Deliver monthly operation reports.

Requirements:

• Bachelor’s degree, preferably in Science or Engineering.
• More than 6 years of relevant working experience. Experience in strategic and/or corporate planning would be an advantage.
• Possess strong strategic and analytical thinking skills.
• Able to identify and contextualise stakeholder issues and manage them appropriately.
• Good communication (written and verbal) and interpersonal skills. Able to work in a team and guide the team to achieve their tasks. Able to work outside of organizational boundaries to engage external stakeholders as necessary
• Able to deliver results under tight timelines. Pro-active, quality conscious and results oriented.

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.

Purpose of Job

This position is responsible for the strategic and operational real estate portfolio management (leased and owned), ensuring alignment with strategic goals, optimisation of leases, managing lease negotiations, and oversee projects.

Central to formulate strategic plans for space extension and exit strategies, time to market, to fulfil the agreed master plans, with a focus space utilisation, cost efficiencies and sustainable practice.

Key Accountabilities:

Strategic Planning & Portfolio Management: Develop and implement real estate strategies for the entire portfolio of A*STAR’s space. Manage all portfolio activities including acquisitions, disposals, and lease negotiations. Conduct regular portfolio benchmarking to identify cost savings opportunities and stakeholder engagements to define the real estate needs.

Real Estate Transactions: Lead all real estate negotiations to ensure most favourable terms, align to market. Manage good working relationship with landlords and real estate agencies. Oversee the lease due diligence, contract review and legal compliance aspect of a transaction

Financial Management: Develop and management real estate budget to ensure within allocations. Conduct regular real estate benchmarking to forecast trends, identify risks, and financial modelling to facilitate decision-making. Work collaborative with other units to ensure an integrated decision-making.

Space Management: Collaborate with facilities management to ensure the optimal space utilisation and smooth daily operations. Lead workplace strategy programs as agreed by the leadership. Ensure sustainable and energy efficient real estate practices.

Compliance and Regulations: Ensure that all real estate transactions comply with all laws and regulations. Manage risks associated with real estate investments and leases, including market and operational risk.

Job Requirements:

• Possess at least 15 years of relevant experience in managing corporate real estate management or related fields
• Background in Real Estate, Business or Finance with at least 7 years of local experience managing large real estate portfolios, lease negotiations. Experience in managing industrial portfolio would be advantageous.
• Possess strong leadership skills in leading multi-disciplinary teams.
• Confident to communicate at all levels and able to think creatively and apply strategic thinking to tasks.
• Able to work under pressure and adapt to changes within a fast-paced environment.
• A self-driven and meticulous individual who has the strong ability to multi-task.

A postdoctoral research fellow position in the areas of Artificial Intelligence (AI) and Machine Learning (ML) for spatial omics and precision medicine is available at the Loo Lab in the Bioinformatics Institute (BII), A*STAR, Singapore. The group develops next-generation spatial omics assays, cellular phenotype analysis methods, and machine learning models to predict patient drug responses. The group also develops and manages the HistoPath Analytics (HPA) Platform and ImmunoAtlas (https://ImmunoAtlas.org) for automated management, visualization, and analysis of large multiplex tissue images and spatial multi-omics data.

The successful candidate will be part of an interdisciplinary team working on the development of new biomarkers and image analysis methods for cancer diagnosis and precision medicine. His/her main responsibility is to develop and apply novel AI and ML models and methods for analyzing large multiplex tissue images and spatial transcriptomic and metabolomic data collected from cancer patients. The candidate will also perform computational algorithm implementation and benchmarking, present research findings at international conferences, and publish in high-impact scientific journals. The candidate will have the opportunity to work in a highly stimulating environment, and collaborate closely with biologists, physicians, and pathologists. Senior candidate with relevant previous experience may also have the opportunity to plan and lead new projects.

Qualifications:

• PhD in Computer Science, Bioinformatics, Computational Biology, Molecular and Cell Biology, Cancer Biology, or a related field.
• Proficiency in Python and R programming languages.
• Strong background in AI/ML modelling, statistics, and data analysis and visualization. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) for image analysis and data modelling is required.
• Knowledge of molecular biology, cancer biology, and basic immunology is required.
• Previous experience in analyzing multiplex tissue images and spatial transcriptomics data is highly desirable.
• Good communication skills and fluent in both spoken and written, especially for the preparation of scientific manuscripts and reports.
• The ability to work effectively in a collaborative team setting.

ISCE2 is seeking a highly motivated Biomanufacturing Scientist to our growing multi-disciplinary team to develop next generation sustainable technology for the biomanufacturing of fine and specialty chemicals. The scientist is responsible for the development and execution of biomanufacturing projects with moderate direct supervision. We are looking for an individual with a passion for science and sustainability who has a proven track record in development and optimization of fermentation science, bioprocess development, and/or downstream purification for biomanufacturing of sustainable chemicals.

The successful candidate may be responsible for but not limited to:

• Led engineering and optimising for fermentation / bioprocess innovations for the sustainable bioproduction of chemicals
• Establish, optimize and characterize downstream processes for increasing yields and purifications.
• Responsibility including set up, operate and maintain manufacturing equipment, including cleaning, sanitation, routine upkeep.
• Maintain accurate records, analyze data and present research findings at local and international conferences, meetings, and to internal / external stakeholders
• Comfortable in the use of advanced technology, including AI/machine learning and computational design/ modeling/ analytics, to help accelerate development
• Able to lead an independent study
• Opportunities for project and team management
• Write and publish high impact papers in peer-reviewed journals, alongside preparation of technical disclosures, patent applications
• Support the Division in project ideation, technology development, and devise proposals for grant applications and industrial engagements.
• Represent the institute at industry meetings and events
• Supervise and mentor junior researchers, fostering a collaborative and supportive work environment
• Other A*STAR, RI and lab duties and roles as assigned by the manager

Requirements:

• PhD in in Microbiology, Biotechnology, Chemical Engineering or Biological Engineering or its equivalent
• Strong background fermentation science and bioprocess development, especially gas or anaerobic fermentation
• 3-5 years of post-PhD experience
• Experience with use and operation of bioreactors
• Adaptable to team-oriented goals and requirements
• Rigorous data analysis, interpretation, analytical and problem-solving skills
• Excellent oral/written communication and ability to work in cross-functional teams
• Strong time management, documentation and organization skills
• Meticulous, attention to details and organized
• Ability to prioritize responsibilities and multi-task

ISCE2 offers a challenging and rewarding work environment with opportunities for career development. If you are passionate about science ready to make a significant impact in the realm of sustainable biomanufacturing, we encourage you to apply.

ISCE2 is seeking a highly motivated Scientist to be part of a young, dynamic, multi-disciplinary team to develop next generation green and sustainable technology for the biomanufacturing of fine and specialty chemicals. This position offers an opportunity to work enzyme and bioengineering to develop new enzymes for more streamlined manufacturing of complex molecules. The ideal candidate is passionate about science and sustainability, self-motivated, organised, detail-oriented, enjoy laboratory work, and has excellent communication and teamwork skills. The successful candidate may be responsible for but not limited to:

• Design and conduct experiments to optimize the biochemical pathways and/or cellular organism towards production of selected chemicals
• Comfortable in the use of advanced technology, including AI/machine learning to design and engineer enzymes
• Able to lead independent study
• Maintain accurate records, analyze data and present research findings at conferences, meetings, and to internal / external stakeholders
• Supervise and mentor junior researchers in the team
• Establish collaboration with internal and external partners to develop new, cutting-edge technologies and/or improve existing ones
• Devise proposals to seek competitive funding
• Write and publish high impact papers in peer-reviewed journals, alongside preparation of technical disclosures, patent applications
• Manage projects and resources to meet timelines and deliverables
• Represent the institute at industry meetings and events
• Other duties as assigned by the manager

Requirements:

• PhD in in Biochemistry, Microbiology, Biotechnology, Chemical Engineering or Biological Engineering or its equivalent
• Strong background chemical / biological / genomic engineering and/or biotechnology
• Adaptable to team-oriented goals and requirements
• Rigorous data analysis, interpretation, analytical and problem-solving skills
• Excellent oral/written communication, documentation and organization skills
• Meticulous, attention to details and organized
• Ability to prioritize responsibilities and multi-task

ISCE2 offers a challenging and rewarding work environment with opportunities for career development. If you are passionate about science and sustainability, and want to make a difference in the world, we encourage you to apply.

A postdoctoral research fellow position in the areas of Artificial Intelligence (AI) and Machine Learning (ML) for spatial omics and precision medicine is available at the Loo Lab in the Bioinformatics Institute (BII), A*STAR, Singapore. The group develops next-generation spatial omics assays, cellular phenotype analysis methods, and machine learning models to predict patient drug responses. The group also develops and manages the HistoPath Analytics (HPA) Platform and ImmunoAtlas (https://ImmunoAtlas.org) for automated management, visualization, and analysis of large multiplex tissue images and spatial multi-omics data.

The successful candidate will be part of an interdisciplinary team working on the development of new biomarkers and image analysis methods for cancer diagnosis and precision medicine. His/her main responsibility is to develop and apply novel AI and ML models and methods for analyzing large multiplex tissue images and spatial transcriptomic and metabolomic data collected from cancer patients. The candidate will also perform computational algorithm implementation and benchmarking, present research findings at international conferences, and publish in high-impact scientific journals. The candidate will have the opportunity to work in a highly stimulating environment, and collaborate closely with biologists, physicians, and pathologists. Senior candidate with relevant previous experience may also have the opportunity to plan and lead new projects.

Qualifications:

• PhD in Computer Science, Bioinformatics, Computational Biology, Molecular and Cell Biology, Cancer Biology, or a related field.
• Proficiency in Python and R programming languages.
• Strong background in AI/ML modelling, statistics, and data analysis and visualization. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) for image analysis and data modelling is required.
• Knowledge of molecular biology, cancer biology, and basic immunology is required.
• Previous experience in analyzing multiplex tissue images and spatial transcriptomics data is highly desirable.
• Good communication skills and fluent in both spoken and written, especially for the preparation of scientific manuscripts and reports.
• Ability to work effectively in a collaborative team setting.

ISCE2 is seeking a highly motivated Biomanufacturing Scientist to our growing multi-disciplinary team to develop next generation sustainable technology for the biomanufacturing of fine and specialty chemicals. The scientist is responsible for the development and execution of biomanufacturing projects with moderate direct supervision. We are looking for an individual with a passion for science and sustainability who has a proven track record in development and optimization of fermentation science, bioprocess development, and/or downstream purification for biomanufacturing of sustainable chemicals.

The successful candidate may be responsible for but not limited to:

• Led engineering and optimising for fermentation / bioprocess innovations for the sustainable bioproduction of chemicals
• Establish, optimize and characterize downstream processes for increasing yields and purifications.
• Responsibility including set up, operate and maintain manufacturing equipment, including cleaning, sanitation, routine upkeep.
• Maintain accurate records, analyze data and present research findings at local and international conferences, meetings, and to internal / external stakeholders
• Comfortable in the use of advanced technology, including AI/machine learning and computational design/ modeling/ analytics, to help accelerate development
• Able to lead an independent study
• Opportunities for project and team management
• Write and publish high impact papers in peer-reviewed journals, alongside preparation of technical disclosures, patent applications
• Support the Division in project ideation, technology development, and devise proposals for grant applications and industrial engagements.
• Represent the institute at industry meetings and events
• Supervise and mentor junior researchers, fostering a collaborative and supportive work environment
• Other A*STAR, RI and lab duties and roles as assigned by the manager

Requirements:

• PhD in in Microbiology, Biotechnology, Chemical Engineering or Biological Engineering or its equivalent
• Strong background fermentation science and bioprocess development, especially gas or anaerobic fermentation
• 0-3 years of post-PhD experience
• Experience with use and operation of bioreactors
• Adaptable to team-oriented goals and requirements
• Rigorous data analysis, interpretation, analytical and problem-solving skills
• Excellent oral/written communication and ability to work in cross-functional teams
• Strong time management, documentation and organization skills
• Meticulous, attention to details and organized
• Ability to prioritize responsibilities and multi-task

ISCE2 offers a challenging and rewarding work environment with opportunities for career development. If you are passionate about science ready to make a significant impact in the realm of sustainable biomanufacturing, we encourage you to apply.

ISCE2 is seeking a highly motivated Scientist to be part of a dynamic, multi-disciplinary team to develop next generation green and sustainable technology for the biomanufacturing of fine and specialty chemicals. This position offers an opportunity to work enzyme and bioengineering to develop new enzymes for more streamlined manufacturing of complex molecules. The ideal candidate is passionate about science and sustainability, self-motivated, organised, detail-oriented, enjoy laboratory work, and has excellent communication and teamwork skills. The successful candidate may be responsible for but not limited to:

• Design and conduct experiments to optimize the biochemical pathways and/or cellular organism towards production of selected chemicals
• Comfortable in the use of advanced technology, including AI/machine learning to design and engineer enzymes
• Able to lead independent study
• Maintain accurate records, analyze data and present research findings at conferences, meetings, and to internal / external stakeholders
• Supervise and mentor junior researchers in the team
• Establish collaboration with internal and external partners to develop new, cutting-edge technologies and/or improve existing ones
• Devise proposals to seek competitive funding
• Write and publish high impact papers in peer-reviewed journals, alongside preparation of technical disclosures, patent applications
• Manage projects and resources to meet timelines and deliverables
• Represent the institute at industry meetings and events
• Other duties as assigned by the manager

Requirements:

• PhD in in Biochemistry, Microbiology, Biotechnology, Chemical Engineering or Biological Engineering or its equivalent
• Strong background chemical / biological / genomic engineering and/or biotechnology
• Adaptable to team-oriented goals and requirements
• Rigorous data analysis, interpretation, analytical and problem-solving skills
• Excellent oral/written communication, documentation and organization skills
• Meticulous, attention to details and organized
• Ability to prioritize responsibilities and multi-task

ISCE2 offers a challenging and rewarding work environment with opportunities for career development. If you are passionate about science and sustainability, and want to make a difference in the world, we encourage you to apply.

Monday - Friday, 8.30am – 5.30pm

Location: Jurong East

Responsibilities

• Handle service requests for both scheduled and unscheduled maintenance in compliance with the Company’s Service Agreement.
• Diagnose and resolve any system issues encountered during maintenance service visits at customer locations.
• Oversee and ensure the quality of work performed by subcontractors during maintenance tasks, while providing technical support to other departmental staff.

Requirements

• With 1-2 years’ experience in service and maintenance of alarm, card access and CCTV systems.
• Candidate with building construction safety supervisor / Work-At-Height / Risk Management certs will be an added advantage.

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