Total 2,647 Education / Training job vacancies in Ngee Ann Polytechnic, Clementi Campus

A Postdoctoral Scientist (Bioinformatician) position is available immediately at the IMCB Cell Fate and Therapeutics Laboratory. The lab is interested in dissecting the regulatory switches regulating cell fate determination in healthy and diseased states, while developing novel tools and strategies in deriving desired cell types for therapeutic applications.

Applicants with strong background in Bioinformatics and next-generation sequencing data analysis are invited to apply. Successful candidates must be highly motivated, have passion for research and be able to work in an interdisciplinary environment.

Requirements:

• PhD with strong research background in Bioinformatics/ Computer science/ Biostatistics or equivalent.
• Experience in bioinformatics and data analysis for ChIP-seq, Transcriptomics, Single-cell analytics, and Spatial-seq.
• Experience with open-source bioinformatics tools.
• Excellent analytical, technical, and problem-solving skills.
• Knowledge of biostatistics highly desirable.
• Self-starter who is comfortable working in a fast-moving interdisciplinary team.
• Strong publication record in peer-reviewed journals.
• Committed and able to work flexible hours.
• Excellent communication, technical writing, and presentation skills.

Research Institute: Institute of Molecular Cell and Biology (IMCB)

Principal Investigator: Dr. Radoslaw Mikolaj Sobota

We are looking for a data analyst with a strong interest in working with large-scale datasets and have experience with analyzing molecular -omics datasets such as transcriptomics, proteomics and metabolomics data. The candidate should have a strong interest in biology, understanding human diseases and most importantly be willing to learn. He/she will be involved in large-scale clinical projects and performing data-processing to analysis on mass spectrometry-based proteomics experiments. He/she will be expected to carry out data analysis such as differential analysis, machine-learning techniques, supervised/unsupervised clustering and statistical modelling. The candidate is expected to meet project datelines and present his/her work when required.

Job Requirements

• Bachelor or Masters degree in Statistics, Biostatistics, Computational Biology, Mathematical Sciences, Bioinformatics or other relevant degree.
• Degree in Life Sciences with both wet-lab skills and strong data analytic skills are also welcomed.
• Expertise in handling different types of omics data will be preferred.
• Able to carry out software programming such R or Python (Preferably R).
• Able to work independently.
• Good attitude towards learning, responsible and organized.
• Good critical thinking, communication and interpersonal skills.

The Research Director is an integral partner for our clients, offering decision intelligence solutions that blend primary research experience, data science, strategy, and experience

to build valuable connections and by acknowledging and responding to changing business requirements. His/ her responsibilities shall include:

• Inspire new thinking, solutions adoption and cultivate client relationships.
• Addressing client business issues and work with team to create values on projects.
• Lead client discussions to ensure successful execution of research activities.
• Oversees conceptualization and development of high-quality research proposals and pursue leads with the team.
• Work with team members to actively identify and solve project management related issues before they arise.
• Guide team members and ensure the quality of all research outputs.

Job Requirements:

• 8-10+ years of integrated research/analytics experience in or adjacent to the market research sector
• Fluency in survey-based research and experience in employing different methodologies.
• Strong client relationship building and networking skills.
• Exceptional written and verbal communication, planning and project management skills at both a peer and management levels.

Office Admin / Admin Executive (Part Time)

Working Hours:

• Weekdays 1.30 - 8.30 pm
• Saturday 9.00 a.m. to 4.30 p.m.
• Sunday 8.45 a.m. to 4.15 p.m.
• Salary ：$9/hr Weekday, $12/hr weekend
• Address: Bukit Timah Plaza
• No experience required. Training will be provided.
• Microsoft office skills needed.

Job scope

• General adminstrative duties and support
• Maintain Cleaniliness of the centre
• Attend to whatsapp, walk-in enquiries
• Other Ad-hoc duties as assigned by management

Please send your CV to [email protected]

Summary:

Skywork AI Singapore welcomes enthusiastic and forward-thinking research engineers to join our dynamic team at the Kunlun-2050 Research Lab Singapore. Being a new entrant in Singapore’s R&D landscape, we are dedicated to pushing the boundaries of Artificial General Intelligence (AGI) through foundational and application research, with a particular focus on Foundation Model 2.0 and Agents. Foundation Model 2.0 encompasses various dimensions, including pioneering new foundation modes and applications, optimizing training and inference acceleration, and conducting theoretical studies to enhance interpretability. Our work on Agents delves into both virtual and physical agents, propelling us into the forefront of AGI development.

We invite individuals who share our passion for AGI advancement and are eager to make their mark in the field to apply and become a vital part of our evolving team. Join us to contribute to cutting-edge research and explore the potential for technology transfer into Skywork AI's core products.

Key Responsibilities:

· Implement intricate algorithms and enhance model scalability

· Provide comprehensive engineering support to the research team

· Develop reusable libraries to support research in AGI field, focusing on Foundation Model 2.0 and Agents.

· Collaborate closely with our interdisciplinary team to publish influential research findings in top-tiered conferences and journals, making a significant impact on the AGI community.

· Actively explore technology transfer opportunities into Skywork AI's core products.

Desirable Experience:

· Hold a Bachelor’s degree or higher in computer science, statistics, engineering, applied mathematics, data science or related fields

· Possess more than three years of related work experience

· Demonstrated proficiency in programming languages

· Hands-on experience with deep learning frameworks and familiar with development tools

· Actively contribute to open-source projects

· Achievement in programming competitions and regional contests

· Attain esteemed recognition within the academic and professional community

Apply:

If you're excited to be part of our cutting-edge research team in the AGI space, please send your latest Curriculum Vitae to [email protected] to explore this exciting opportunity.

Skywork AI Singapore is committed to fostering diversity and welcomes candidates from all backgrounds to apply. Join us in shaping the future of AGI at Kunlun-2050 Research Lab. Your contributions can be instrumental in defining our journey as a new start-up in this dynamic field

Job Description

• Source applicants through online channels, social platforms and other professional networks.
• Carry out initial screening calls with candidates to assess suitability for the role.
• Work with HR/Ops Manager to coordinate candidate interviews.
• Coordinate learning activities and conduct staff onboarding.
• Manage a full spectrum of learning and development functions.
• Maintain the Company’s learning management system platform.
• Assist in organizing employee welfare and communications activities.

Essential Skills and Experience

• Diploma/Degree in any discipline, preferably in Human Resources or a business-related field.
• Minimum 1 year experience in recruitment and training administration.
• Excellent communication/interpersonal skills.
• Proficient in MS Office (PowerPoint, Word, Excel).
• Knowledge in WordPress and administration of learning management system platform is added advantage.
• Able to work independently and as a team player.
• Ability to work effectively in a dynamic working environment.

Only shortlisted candidates will be notified

We are seeking a highly motivated and dedicated individual to join our research team to study plant epigenetics and crop functional genomics. The successful candidates will play a crucial role in performing the mechanisms controlling neural development, pruning, and neurodegenerative diseases using both fruit fly and human brain organoids. The aim of the projects is also to explore mechanisms of neuronal pruning in fruit flies and its implications for autism. The successful candidate is motivated and expected to provide assistance and support for a couple of interesting projects, team up with PhD students or postdocs, and assist in maintaining lab infrastructure. A capable candidate may also have the opportunity to lead his or her research project.

Requirements:

• MSc or BSc (Hons) in molecular, cellular biology, neurobiology, or related biological fields
• Prior experience in lab research
• Ability to design experiments and work independently
• Experience with molecular, cellular biology, neurobiology is preferred
• Ability to work both independently and collaboratively as part of a research team, able to assist in lab organization and administration
• Strong organization skills and attention to detail
• Good communication skills, both written and verbal

Salary and benefits are commensurable to educational qualifications and working experience of the candidates. Benefits include annual leave, medical and flexi-benefits, etc.

Interested individuals should send their application letter and CV with three references to:

Dr YU Fengwei

Senior Principal Investigator

Email: [email protected]

(Please note that shortlisted candidates will be notified)

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The appointee will assist the principal investigator on projects related to digital health, nutrition, obesity management to:

1. oversee the general management of the project
2. undertake the coordination with the designers in user acceptance testing, pilot testing, during and after the implementation
3. provide administrative and other support to the project
4. conduct literature reviews and/or systematic reviews
5. conduct data entry and data analyses
6. assist in preparing both progress and final reports of the project
7. work on other tasks as assigned

Qualifications

The applicant should:

1. have a first degree with good results preferably with a health science background
2. have experience in the process of conducting research;
3. be able to work independently and with a team, have an investigative nature, attention to detail;
4. have knowledge of computer and data analysis applications (such as R, SPSS and MS Office);
5. have good communication skills with colleagues and fluency in English; and
6. have nursing background, or honours degree in nursing is a plus.

Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous experience in research and project management.

Formal application: Please submit your application, indicating current/expected salary, supported by a CV and full contacts of 3 referees via the NUS Careers Portal.

Humans are diverse, and this diversity influences the properties of our cells, as well as our developmental processes, and disease mechanisms, diagnoses, and treatments. The impact of population-specific genetic variation on disease risk and healthcare is widely appreciated, and this can contribute to health disparities. To build a single cell reference atlas suitable for diverse population groups, we seek to characterise the impact of genes and environment on molecular traits in cells from diverse individuals across the globe. Specifically, we aim to uncover the influence of genetics, ancestry, age and sex on human phenotypes in health and disease.

We are looking for team members who will develop cutting-edge AI/machine learning methods and pipelines to integrate and interrogate gene expression and regulatory profiles of >10 million cells from thousands of donors. Your work will help establish a healthy immune baseline for disease comparisons, and craft and curate atlases of human cells that will transform our understanding of human biology. Successful candidates for this position will have the opportunity to collaborate with, learn from, and contribute to teams across the world studying diverse donors and tissues, including the Human Cell Atlas bionetworks.

Requirements:

• PhD with experience in computational biology
• Mathematical sophistication
• Programming skills in R/Python
• Strong communication skills
• Post-doctoral candidates should have a strong track record, including impactful publications

To apply, please e-mail your CV and names of references to: [email protected], [email protected]

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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description:

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health at the National University of Singapore (NUS):

Research Assistant (1 year)

We are looking for a full-time research assistant to support an MOE-funded research project on cancer and public health. The successful candidate will work closely with the principal investigator and a team of cancer clinicians and researchers, and will have the opportunity to gain hands-on experience in socio-behavioural research to improve cancer care.

Responsibilities:

• Assist with the administration and management of research projects, including coordinating the research team’s meetings and activities and preparing the research ethics application.
• Conduct research fieldwork, including recruiting participants, coordinating interview schedules, administering informed consent forms, conducting qualitative interviews and transcribing interviews verbatim.
• Conduct qualitative data analysis, and work with the research team in preparing research reports/manuscripts.

Requirements:

• Excellent academic writing and communication skills in English.
• Experience of successfully managing multiple tasks concurrently.
• Some qualitative research skills and experience, including at least some experience with conducting semi-structured interviews and/or analysing qualitative data and interest in learning how to conduct socio-behavioural research in cancer care.
• Highly organized and able to work effectively under pressure, use independent judgement, produce high-quality quality work, and problem solve within time constraints.
• Able to work independently as well as with a team.

Desirable:

• Degree or relevant experience in social science methodology or health care.
• Experience with Atlas.ai/NVivo and R or similar software to manage qualitative data or the interest to learn.
• Experience in conducting qualitative interviews.
• Able to speak Mandarin/Chinese dialects or Malay/Tamil is an advantage as some research participants may only speak their mother tongue.

Recruitment is open immediately and will continue until the position is filled. Applicants should send the following documents during the job application:

1. Cover letter highlighting career goals and relevant experience
2. Curriculum Vitae, containing details of three named referees

Qualifications

• Bachelor’s Degree in a social science or health discipline.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A full-time Research Assistant position in the team led by Assistant Professor Chua Wei Ling is available at the Alice Lee Centre for Nursing Studies, National University of Singapore. The selected candidate will work closely with the Principal Investigator in the research domains of (i) nursing staffing and patient outcomes and (ii) post-sepsis syndrome.

This position provides an excellent opportunity for candidates looking to further experience in research with a view to a Master’s and/or PhD with the Principal Investigator.

Appointment will be made on a 12-month contract basis in the first instance, with the possibility of extension, depending on project commitments and candidate’s career objectives.

Duties

The appointee will be required to:

1. Oversee the administration and general management of the research projects, including support with grant and ethics application and liaise with relevant stakeholders in preparing research agreements.
2. Conduct research fieldwork, including recruiting and managing participants, data collection, data analysis.
3. Assist in preparing reports and meeting materials for stakeholders.
4. Work on other tasks as assigned.

Qualifications

The applicant should:

1. have a Degree in nursing or health-related disciplines; preferably with some experience in research;
2. be proficient with Microsoft Office Suite applications, e.g., Microsoft Word, Excel, PowerPoint;
3. have excellent project management, organisation, coordination, and problem-solving skills;
4. have excellent interpersonal skills and written and verbal communication skills in English;
5. be a good team player with a strong sense of responsibility;
6. be highly motivated individual with capacity to work independently;

Qualifications

1. Experience in planning, managing, and implementing healthcare-related research projects will be an added advantage;
2. Proficiency in data analysis applications (e.g. SPSS, Jamovi, Stata, R & etc) will be an added advantage;
3. Proficiency in the Chinese Language will be an added advantage as the position will require work with Chinese-speaking participants.

Remuneration will be commensurate with the candidate’s qualifications and experience. Preference will be given to those with previous experience in research and project management.

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 Fellow position in Professor Brian Kennedy’s lab, part of the Department of Biochemistry and the Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine. The lab focuses on basic, clinical and transformative research to add healthy year of life by developing 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 Fellow (RF) will be responsible to, and work closely with, the Principal Investigator and team members to investigate the effects of repurposing drugs and natural products influencing healthspan and lifespan in mice and biological clocks of ageing, work on ageing and system biology to unravel the ageing networks. The RF’s principal role will be to work on modelling, simulating, and analyzing biological processes related to ageing biology.

Main Duties and Responsibilities

The Research Fellow will liaise with the relevant personnel in the department to smooth the process of modelling, simulating, and analyzing biological data and will be accountable to the Principal Investigator (PI). The RF will be able to:

1. Conduct innovative research at the intersection of AI, complex systems science, and dynamical systems related to aging. This involves formulating hypotheses, designing experiments, and analyzing data using advanced computational methods;
2. Develop and implement computational models to simulate biological aging processes. This includes using techniques from physics to model complex biological systems and employing AI to predict outcomes;
3. Utilize bioinformatics tools to analyze large datasets, such as lipidomic and epigenetic data, to uncover patterns related to aging and age-related diseases;
4. Apply machine learning algorithms to interpret biological data, improve understanding of aging mechanisms, and potentially identify new biomarkers or therapeutic targets;
5. Collaborate with interdisciplinary teams across various departments, including biologists, data scientists, and physicists, to integrate findings and methodologies. Communicate research findings through scientific publications and presentations; and
6. Mentor graduate students or junior lab members, provide guidance on research projects, and contribute to the overall intellectual environment of the research group.

Qualifications

The applicant should:

1. Hold a PhD in Biochemistry/Computational Biology/Bioinformatics/Physics or related disciplines;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. have strong knowledge on aging biology, complex systems science, computational biology and machine learning as well as proficiency in programming languages such as Python and R; and
4. have experiences in handling and combining large scale multiomics datasets.

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

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 to this job portal.

We are seeking a Data Analyst with a fervent interest in large-scale datasets and experience in analyzing molecular -omics datasets, such as transcriptomics, proteomics, and metabolomics. The ideal candidate will have a solid background in computatier science and be eager to contribute to large-scale multi-omic projects by performing tasks ranging from data processing to comprehensive analysis of multiomic data. Responsibilities include executing various data analyses, such as differential analysis, employing machine-learning techniques, conducting both supervised and unsupervised clustering, statistical modelling, and developing deep learning neural networks.

Job Requirements:

• Bachelor"s or Master"s degree in Computer Science or a related field.
• A strong background in brain tumor research.
• Demonstrated expertise in bioinformatics and the analysis of single cell sequencing data.
• Proficiency in using AWS to deploy machine learning and deep learning models.
• Experience in Spatial-omics data analysis is advantageous.
• Skilled in R, Python, Java.
• Capable of working autonomously with a proactive mindset.
• A positive attitude towards learning, along with being responsible and well-organized.
• Excellent abilities in critical thinking, communication, and interpersonal relationships.

Responsibilities

• Support with paperwork management and document handling.
• Organize and manage personnel records efficiently.
• Maintain internal databases, including tracking sick and maternity leave records.
• Generate HR documents such as employment contracts and orientation guides for new hires.
• Collaborate with external partners, such as insurance providers, to ensure adherence to legal requirements.
• Produce periodic reports and presentations outlining HR metrics like turnover rates.
• Aid the payroll department by furnishing pertinent employee details (e.g., leaves, sick days, and schedules).
• Contribute to recruitment efforts by overseeing job postings and candidate screening, as well as assisting with the onboarding process.

Requirements and skills

• Proven experience as an HR Administrator, Administrative Assistant or relevant role.
• Computer literacy (MS Office applications).
• Excellent organizational skills, with an ability to prioritize important projects.
• Attention to detail.
• Job Type: Full Time
• Contract length: Permanent
• Experience level: Fresh graduates/entry levels are welcome, on the job training provided

For interested applicants, please send your resume to [email protected] / contact 8035 3296.

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

(1) Design and Synthesis of electrocatalyst for oxygen evolution reaction of water electrolysis.
(2) Structure characterization and simulation of the obtained electrocatalysts.
(3) Performance test and mechanism study of the obtained electrocatalysts.

Qualifications

Master degree in MSE, Chemistry or other relevant majors.

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 is on transforming food waste into digestates containing active biomolecules to enhance vegetable growth. Utilizing anaerobic digestion, we aim to recover essential nutrients such as N, P and K from food waste and integrate them into waste-derived hydrogel/biochar for optimal vegetable cultivation, thereby closing the waste loop in farming practices.

The specific aims are:

1. To release nutrients from food waste through anaerobic digestion and optimize the co-digestion process with waste-derived hydrogels.
2. To recover nutrients from the digestate to produce a novel biofertilizer.
3. To develop a prototype of an integrated food waste nutrient recovery system for pilot-scale testing.

Qualifications

• Possess a PhD degree in bioscience, chemical/ biological/ environmental engineering, or other related fields.
• Prepare reports and presentations regularly.
• Publications in the relevant work.
• Team player with good communication and interpersonal skills.

Job title: HR Admin

To apply: [email protected]

Job Description:

· Maintaining employee records and HR documentation.

· Assisting with onboarding and benefits administration.

· Coordinating training sessions and recruitment efforts.

· Handling HR inquiries from employees and management.

Qualifications:

· ITE or equivalent

· Strong organizational skills.

· Proficiency in MS Office.

· Effective communication skills.

· Ability to maintain confidentiality.

Why Join Us:

· Competitive compensation and benefits.

· Opportunities for professional growth.

· Supportive work environment.

· Be a vital part of our HR team.

How to Apply:

If you're an organized individual with a passion for HR admin, send your resume and cover letter to [[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

The Mechanobiology Institute (MBI) at the National University of Singapore (NUS) is a leading multi­disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell, tissue and organ mechanics/dynamics and mechano-signal transduction. The institute operates on a fully integrated open-lab philosophy, with an extensive infrastructure supported by core facilities dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing.

The MBI is currently inviting applications from outstanding candidates for the Principal Research Scientist position. The institute seeks candidates with a commitment to both independent and collaborative interdisciplinary research in the area of mechanical and dynamical processes in cell, tissue and organ development, aging, repair and regeneration. More consideration will be given to candidates with a strong track record in incorporating computation and modelling with experimental work, and a strong publication record as an independent researcher.

Qualifications

Candidates should have a Ph.D. and post-doctoral training in the relevant fields, demonstrated excellence in research, and an interest in teaching. The selected candidate is expected to demonstrate significant creativity and independence in research, and participate in teaching at the graduate and undergraduate levels.

To apply, candidates should send the following materials:

• Cover letter
• Full Curriculum Vitae with bibliography
• Statement of research interest & Research plan
• Teaching statement
• Contact details (name and email address) of at least 4 referees

Successful applicants will hold joint appointments as Principal Investigators at the MBI and can expect internationally competitive salary and benefits. Shortlisted candidates will be invited for a campus visit interview.

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 group of Assistant Professor Ho Wen Wei (Presidential Young Professor) at the Department of Physics, Faculty of Science, NUS, and Centre for Quantum Technologies (CQT), is seeking a Senior Research Fellow to work on theoretical aspects of nonequilibrium quantum many-body physics and quantum information science.

The main responsibilities of the position include:

- Developing theoretical methods to predict and characterize nonequilibrium quantum many-body phenomena in synthetic quantum matter (cold atoms, Rydberg atoms, trapped ions,etc.), utilizing the lens of quantum information theory (e.g., entanglement, tensor networks). Specific topics include deep thermalization, measurement-induced randomness, measurement-induced entanglement phases, dynamical/driven phases of matter, quantum many-body scars etc.

- Developing quantum information science applications like quantum simulation of complex many-body phenomena, and quantum state preparation and tomography protocols, specifically tailored for current and near-term quantum technologies etc. Analytical calculations and numerical methods will be employed to ascertain the validity and performance of the proposed applications.

There will be opportunities to collaborate with world renowned experimental groups of cold atoms, superconducting circuits and Rydberg atoms, including those at the Centre for Quantum Technologies (CQT) in Singapore, located next door.

Qualifications

• Qualifications / Discipline: PhD in Physics or closely-related field.

• Skills: Candidates should be familiar with quantum many-body theory and quantum-information theoretic tools to analyse them, like entanglement and tensor networks etc. Previous experience with experiments involving quantum simulators is a plus, and expertise in computational methods (exact diagonalization, DMRG, Monte Carlo) is also highly desirable.

• Experience: Candidates should expect to have a PhD at the start of appointment and have published a number of papers relevant to the field of research, in reputable journals.

Who We Are

As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment. We advocate for the same for our people. We believe everyone should have equal opportunities and develop to their fullest potential in their careers. Embark on an exciting lifelong journey with us in making a positive difference in your career and serving our society.

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

About the Role

We are interested in applicants in the fields of Accountancy specialising in Valuation, Assurance or Advanced Financial Reporting. Candidates with expertise in corporate governance, ESG reporting, analytics, risk management will also be considered.

If you are passionate about communicating knowledge, and can demonstrate ability to work collaboratively and engage positively with colleagues and external stakeholders, we welcome you to join us!

The successful applicant will join the Accounting discipline in the School of Business (SBIZ). The responsibilities of SBIZ full-time faculty members include teaching and developing courses, conducting academic and/or applied research, and being involved in activities in the service of SUSS and also outside of SUSS that may include outreach to industry and also involvement in industry projects.

Job Requirements

• Ph.D. degree holder in a relevant discipline.
• Those with Chartered Accountant of Singapore qualification (or equivalent professional qualification) and at least a Master's degree and industry experience in a relevant area will also be considered.
• Applicant with at least 3 years of teaching experience. Those with industry experience in the relevant area and/or are familiar with the Singapore CA Qualification will have an added advantage.

We are seeking a Data Analyst with a fervent interest in large-scale datasets and experience in analyzing molecular -omics datasets, such as transcriptomics, proteomics, and metabolomics. The ideal candidate will have a solid background in computatier science and be eager to contribute to large-scale multi-omic projects by performing tasks ranging from data processing to comprehensive analysis of multiomic data. Responsibilities include executing various data analyses, such as differential analysis, employing machine-learning techniques, conducting both supervised and unsupervised clustering, statistical modelling, and developing deep learning neural networks.

Job Requirements:

• Bachelor"s or Master"s degree in Computer Science or a related field.
• A strong background in brain tumor research.
• Demonstrated expertise in bioinformatics and the analysis of single cell sequencing data.
• Proficiency in using AWS to deploy machine learning and deep learning models.
• Experience in Spatial-omics data analysis is advantageous.
• Skilled in R, Python, Java.
• Capable of working autonomously with a proactive mindset.
• A positive attitude towards learning, along with being responsible and well-organized.
• Excellent abilities in critical thinking, communication, and interpersonal relationships.

The Signature Research Programme in Neuroscience and Behavioural Disorders (NBD) is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and ophthalmological disorders.

The selected candidate will perform a variety of research activities which include planning, organising and conducting research studies within the overall scope of a research project under the supervision of the Principal Investigator or his/her designate, including but not limited to the following: -

• Manage the day-to-day operations of the laboratory.
• Perform tasks and support all aspects of the research project.
• Conduct accurate monitoring, documenting and reporting of experimental results and/or research findings.
• Assist researchers in programming, data analysis and literature review in various research projects.
• Contribute to project management, presentations and publications of research work.
• Assist with general upkeep of laboratory needs, maintain safety protocols, provide technical support and establish work procedures to ongoing research projects.
• Perform other related duties incidental to the work described therein.

Job Requirements

• Bachelor’s Degree with Honours in Science with minimum 2 years of relevant laboratory managerial experience.
• Previous working experience with Drosophila or mammalian cells is required.
• Have an extensive working experience in molecular biology
• Meticulous, well-organised and have good time management to work in a fast-paced environment.
• Possess strong interpersonal communications skills with excellent written, oral communication and computer skills.
• A strong team player who is open-minded, energetic, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.

We regret that only shortlisted candidates will be notified.

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

Highly motivated and creative postdoctoral candidates are sought to work at the Yang Zhang Lab, Cancer Science Institute of Singapore, School of Computing, and Yong Loo Lin School of Medicine, at National University of Singapore.

Candidates, who are interested in artificial intelligence (AI) and deep machine learning, protein and RNA structural prediction, protein and peptide design and engineering, and/or protein-ligand docking and drug screening, are encouraged to apply. We are particularly interested in the development of new AI-based approaches to cancer therapeutics, including antibody design and discovery, T cell receptor T cell therapy (TCR-T), and peptide-drug conjugate (PDC) cancer therapy. Focus of our laboratory is more on new and creative algorithm/platform developments rather than application of existing programs. Therefore, skills in computational coding and creativity in scientific method design, together with interest in computational cancer medicine, are critical to the position. Previous experience in machine learning will be a plus. More details on our projects can be found at https://zhanggroup.org.

To apply, please send your CV, a brief description of your research interest and plan, and contact information of three professional referees.

Job Description

• Consistently maintain regular observation and evaluation of infant/toddler’s development and growth progress
• Ensure safety of each child through close supervision, whether in the classroom setting, play area, or any other areas within the school compound
• Perform childcare / infant care routines in a prompt and hygienic manner that is consistent with the early years child development practices. These routines include diapering, feeding, bathing, hand washing, napping and transitioning between activities
• Maintain daily journal of milk feeds, solid feeds, diapering, etc., in accordance to relevance for each age group (Babies, Junior and Senior Infants)
• Plan and implement engaging learning experiences/exploration

Qualifications

• Certificate in Infant/Toddler Care and Development (CIT) / Higher Certificate in Infant Care (HCIC) / Advanced Certificate in Early Years (ACEY)
• Candidates who are keen for a career-conversion to pursue his/her passion in early years education are welcomed to apply

Other Information

• At least one (1) year of relevant experience will be added advantage
• Willing to learn, with good attitude
• Able to work well independently as well as within a team
• Passionate about working with young infants/toddlers
• Driven to make an impact in the early years education of the young

Job Title: Recruiter

How to Apply:

If you're passionate about connecting talent with opportunity, send your resume and a brief cover letter to [[email protected]].

Job Description:

As a Recruiter, you will play a vital role in our talent acquisition efforts, including:

• Sourcing and screening candidates.
• Conducting interviews and assessments.
• Managing candidate pipelines.
• Collaborating with hiring managers.
• Ensuring a positive candidate experience.
• Contributing to recruitment strategies.

Qualifications:

• Proven recruiting experience.
• Strong communication and interpersonal skills.
• Excellent organizational and time management abilities.
• Proficiency in recruitment software/tools is a plus.
• Passion for finding top talent.

Why Join Us:

• Competitive compensation and benefits.
• Opportunities for professional growth.
• Collaborative and innovative work environment.
• Impactful role in shaping our team.

How to Apply:

If you're passionate about connecting talent with opportunity, send your resume and a brief cover letter to [[email protected]].