Total 220 science job vacancies in d05 clementi new town hong leong garden pasir panjang

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof. Adrian Röllin on fluctuation theory for dense graph limits on under a ARF Bilateral Research Grant between Luxembourg and Singapore.

Qualifications

• Qualifications / Discipline:
PhD in Mathematics

• Skills:
Able to do independent research.

• Experience:
Research experience in probability theory.

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 postdoctoral position is available immediately for a highly motivated Ph.D. or M.D graduate with a background in molecular or cellular biology, biochemistry or other related fields who is interested in deciphering regulatory RNA networks in the context of cancer. The successful candidate will help to design experiments, conduct experiments, analyse data, write papers, write grants, mentor students, and compete for fellowships.

Duties And Responsibilities

• A Ph.D. in cancer biology or related area
• Experience with in vivo animal models, particularly mice and/or zebrafish
• Expertise in RNA biology (including but not limited to microRNAs) is preferred
• Strong background and working knowledge of basic molecular and cellular biology techniques such as cell culture, cloning, real-time PCR and western blotting
• Any experience with analyses of human clinical samples, RNA sequencing, RNA immunoprecipitation, mass spectrometry and/or CRISPR genome editing is highly desirable
• A proven track record in the form of publications in top international English language journals
• Ability to communicate in written and spoken English

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 postdoctoral position is available immediately for a highly motivated Ph.D. or M.D graduate with a background in molecular or cellular biology, biochemistry or other related fields who is interested in deciphering regulatory RNA networks in the context of cancer. The successful candidate will help to design experiments, conduct experiments, analyse data, write papers, write grants, mentor students, and compete for fellowships.

Duties And Responsibilities

• A Ph.D. in cancer biology or related area
• Experience with in vivo animal models, particularly mice and/or zebrafish
• Expertise in RNA biology (including but not limited to microRNAs) is preferred
• Strong background and working knowledge of basic molecular and cellular biology techniques such as cell culture, cloning, real-time PCR and western blotting
• Any experience with analyses of human clinical samples, RNA sequencing, RNA immunoprecipitation, mass spectrometry and/or CRISPR genome editing is highly desirable
• A proven track record in the form of publications in top international English language journals
• Ability to communicate in written and spoken English

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

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

We regret that only shortlisted candidates will be notified.

About Us

The Cancer Science Institute of Singapore (CSI Singapore) was officially launched on 15 October 2008. CSI Singapore aims to position Singapore as a global-leader in the field of Biomedical Sciences. It is dedicated to conducting a multifaceted and coordinated approach to cancer research, extending from basic cancer studies all the way to experimental therapeutics and in so doing improve cancer treatment.

CSI Singapore is a state-of-the-art university research institute affiliated with, and hosted at the National University of Singapore. In 2008, it was awarded a $172 million "Research Centre of Excellence" grant, one of only five in Singapore, by the National Research Foundation and the Ministry of Education.

Home to world-renowned scientists and awardees of Singapore's prestigious talent development program, the STaR Investigators, CSI Singapore endeavors to revolutionize the landscape of biomedical research and position Singapore as a global leader.

The vision is to bring CSI Singapore to the forefront of cancer biology and treatment in Asia and the world — to be the major centre for cancer studies in Asia with a global presence.

More information available on CSI's website

Job Description

A Research Associate/ Assistant position is available at Dr Sriram SRIDHARAN's lab. This position will support and work closely with other lab members in the collection of data and information through lab studies, surveys, and other means. A key element in this role is adhering to procedures and protocols provided by primary researchers. Success in this role is demonstrated by the successful and timely completion of all research and documents.

Technical Skills

1. Establish new cell line models.
2. Perform experiments involving bench work, tissue culture and genotyping.
3. Assisting to develop and carry out experiments as tasked.
4. Performs experiments, analyse and interpret scientific data independently.
5. Maintenance of laboratory inventory and administration (including ordering and budgeting).

Soft Skills

1. Able to multi-task, well organized, and acquire good time management skills
2. Cooperate in maintaining and planning for the needs of the lab team as well as to meet administrative duties that are assigned.
3. Communicates clearly and effectively in written and oral scientific presentations

Qualifications

• Masters/ Bachelor's Degree in Life Sciences or equivalent
• Excellent communication skills and good team spirit.
• Fluent in spoken and written English.
• Outstanding organizational skills.
• Willingness to learn new techniques and/or biology as needed.
• Strong background and working knowledge of basic molecular and cellular biology techniques, such as cell culture, cloning, real-time PCR and western blotting
• Preferred: Experience with various sequencing and other genomic techniques, and/or CRISPR genome editing is desirable but not necessary.

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 position is for a Research Fellow to investigate using combination therapy to target glutamine dependency in multiple myeloma. This work involves use of cancer biology and molecular biology techniques to analyse drug response as well as molecular mechanisms of disease in various in vitro and in vivo models of multiple myeloma (including use of primary cancer cells).This position is for a Research Fellow to investigate using combination therapy to target glutamine dependency in multiple myeloma. This work involves use of cancer biology and molecular biology techniques to analyse drug response as well as molecular mechanisms of disease in various in vitro and in vivo models of multiple myeloma (including use of primary cancer cells).

Qualifications

PhD in cancer biology, molecular biology or related degrees. Previous research experience in multiple myeloma is preferred.

ParallelChain Lab is seeking AI enthusiasts to join our Data Science team! Don't be misled by the intern title – you'll be deeply involved in our cutting-edge machine learning projects.

Location: Singapore

Job Type: Full-time / Part-time

Roles & Responsibilities

• Assist in our machine learning projects (e.g., data collection, pre-processing, model training and evaluation).
• Transform data into valuable insights.
• Automate workflows to enhance performance.
• Support the development of FinTech applications.

Requirements

• Fresh grads or currently pursuing a degree in Science, Computer Science, or Mathematics disciplines.
• Knowledge of Python.
• Experience with Machine Learning libraries (e.g. PyTorch, TensorFlow) and image processing.
• Experience with DevOps tools (e.g. Docker, Nginx) is desirable.
• Fluent in English.
• Full-time availability preferred.

Work Environment & Benefits

• A fun and multicultural team.
• A make-it-happen culture.
• Regular employment is typically offered upon satisfactory completion of the internship.

Internship application requires the following:

• Resume
• Recent transcripts (screenshots are acceptable if an official copy is unavailable)
• Specify the time frame(s) you're available for internship and whether your internship will be full-time or part-time.

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 Program Officer plays a pivotal role in supporting the efficient administration of research grants, managing programmatic outreach initiatives, and facilitating the smooth operation of research graduate programs. This position involves close collaboration with finance, HR, and various departments within the organization, as well as external partners and stakeholders. The Research Program Officer ensures compliance with grant requirements, oversees programmatic activities, and contributes to the dissemination of research findings and program achievements.

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. At least 2 referees including their name, contact information (email) and relationship to applicant

Job Duties

Grant Finance & HR Administration:

• Assist in the post-research grant awards process, including tasks in the grant iRIMS system.
• Track research grant budgets, manage virements, procurement, and claims.
• Liaise with the Finance Team for effective financial management of program affairs.
• Support HR matters, including liaison with NUS HR, payroll funds check, and induction of new recruits.
• Maintain records of program research staff list and profiles on websites.

Programmatic Outreach:

• Manage research program membership and generate publication bibliometrics for reporting purposes.
• Collaborate on program initiatives and partnerships with various NUS departments/schools.
• Organize virtual and face-to-face research events, fundraising activities, workshops, seminars, and symposiums.
• Prepare and update events on newsletters and websites, manage media relations, and disseminate research news.

Research Graduate Programme:

• Support graduate and fellowship program matters, acting as a liaison with NUS Medicine and the Division of Graduate School.

Other Duties & Responsibilities:

• Maintain organized documentation and correspondence, including letters of award, approvals, amendments, etc.
• Manage computerized grant/financial data and progress reports.
• Perform any other duties assigned by senior management

Qualifications

• Bachelor of Science (BSc) degree, preferably in Life Sciences or a related field of study.
• 3 to 4 years of experience in a similar position.
• Experience in research administrative management involving multiple faculties, including HR, Grants budget, Outreach, and Finance.
• Proven track record of coordinating and tracking multiple projects.
• Background in life sciences preferred.
• Familiarity with SAP/iRIMS system is advantageous.
• Strong multitasking abilities and capability to work independently while also being an effective team player.
• Proactive, committed, creative, meticulous, and results-oriented approach to work.
• Excellent writing and reporting skills.
• Exceptional communication and presentation abilities.
• Good interpersonal skills to collaborate effectively with colleagues and external stakeholders.

Teacher of Secondary Science (Maternity Cover)

An outstanding and inspirational Science Teacher is required for August 2024 until December 2024 to cover Maternity Leave. A desire to teach through Years 7 to 13 is essential and the ability to teach IGCSE Science and your specialist subject (Biology, Physics, Chemistry or ESS) at IB Diploma at both SL and HL. Candidates with IB Diploma experience are particularly welcome to apply.

The successful candidate will be passionate about driving high quality teaching and learning in an inclusive school and committed to making a difference to the lives of the young people in their care. They will be a reflective practitioner and an effective collaborator, relentless in the pursuit of ‘better’ practice. Staff contribute to our pastoral care and well-being programme and to our co-curricular programme, making a full contribution to our vibrant community. A pastoral leadership role may be available, so candidates are strongly advised to indicate interest in applications.

We are an inclusive international school committed to ‘success for all’, offering diverse programmes to meet the needs of our learners.

The successful candidate will be passionate about learning and committed to making a difference to the lives of the young people in their care. They will be a reflective practitioner and an effective collaborator, relentless in the pursuit of ‘better’ practice.

We are a school with a strong sense of community amongst staff and students. Staff contribute to our pastoral care and well-being programme and to our co-curricular programme, making a full contribution to our vibrant community.

Safeguarding

At Nord Anglia Education we are committed to providing a world class, safe, happy environment in which children and young people are able to thrive and learn. We are committed to safeguarding and promoting the welfare of all our students irrespective of race, ability, religion, gender or culture.

All post holders in regulated activity (having regular unsupervised contact with children) are subject to appropriate national and international vetting procedures including satisfactory criminal record checks from both your country of residence/birth and any country of residence within the last 10 years.

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 job holders are to work with PI and the research team to conduct research characterizing airborne pollutants in urban environment.

Job Requirements

One or more of (but not limited to) the following:

• Experience in applying data analytics, machine learning and handling big data
• Experience in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels, ...
• Fast learner - capable of conducting independent research and proficient literature search, review & summary with strong background in Chemical Engineering / Chemistry / Physics
• Experience in operating instruments measuring physical and/or chemical properties of airborne pollutants
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

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 job holders are to work with PI and the research team to conduct research characterizing airborne pollutants in urban environment.

Job Requirements

One or more of (but not limited to) the following:

• Experience in applying data analytics, machine learning and handling big data
• Experience in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels, ...
• Fast learner - capable of conducting independent research and proficient literature search, review & summary with strong background in Chemical Engineering / Chemistry / Physics
• Experience in operating instruments measuring physical and/or chemical properties of airborne pollutants
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr Michael Choi on sum-of-squares method under a project on Markov chains and their applications.

The main responsibilities of the position include:

• Assist the PI in conducting literature review on sum-of-squares method, information theory and Markov chains
• Assist the PI in drafting research papers on Markov chains
• Assist the PI in Markov chains simulation

Qualifications

• Qualifications / Discipline: Bachelor degree in Mathematics, Statistics, Computer Science or related fields

• Skills: Knowledge on Markov chains, stochastic algorithms, information theory and sum-of-squares method.

• Experience: 0-1 year.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

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

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

Interested applicants should include the following documents in the job application

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

Qualifications

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

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

PREFERENCES

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Job description:

The National University of Singapore invites applications for the position of Visiting Associate Professor in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems. The Visiting Associate Professor will be responsible for teaching and research in some of these areas: computer architecture, media, database, algorithms, parallel and distributed systems, etc. Only shortlisted candidates will be notified.

Qualifications

Job requirements:

A PhD degree in computer science or related areas.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr Tan Yan Shuo on statistical and machine learning theory under a project on the theoretical foundations of decision trees and ensembles.

The main responsibilities of the position include:
Proving theorems, forming new theoretical hypotheses, performing simulations, writing papers to communicate results, all under the PI’s direction.

Qualifications

• Qualifications / Discipline:
PhD in Statistics, Computer Science, or related field.

• Skills:
Strong mathematical training, deep understanding of statistical machine learning theory, especially in decision trees and ensembles.

• Experience:
Has several first author papers published in top machine learning venues (ICML, NeurIPS, AISTATS, JMLR).

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 Senior Research Fellow (Data Science & Statistics) in the Centre for Research in Health Systems Performance, Yong Loo Lin School of Medicine.

About the Centre for Research in Health Systems Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based in independent evaluation with the Global Burden of Disease data. The new Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yon Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships, mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

Job Description

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw See Hock School of Public Health.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and will have access to travel support to disseminate research outcomes at international academic conferences.

The position is a 2-year full-time appointment at the academic rank of Senior Research Fellow (particularly strong applications at the level of Research Fellow will be considered). An option to renew the appointment for subsequent years will depend on performance and continued funding for the project. There is the possibility to move to tenure track depending on performance. Start date is flexible, with the position expected to commence in the first half of 2024.

Purpose of the post

CRiHSP is hiring a highly motivated and experienced postdoctoral researcher. The successful candidate will bring a combination of technical expertise in data science and applied statistical methods in health systems research. They will make a significant contribution to setting up and developing the centre at this crucial stage in relation to its research, training, and evaluation and engagement areas of activity. The successful candidate will report to the CRiHSP Director of Research. The role provides a rare opportunity to work at the centre of this rapidly evolving field, shaping the future of healthcare and clinical practice.

Main Duties and Responsibilities

The responsibilities include:

• Establishing an independent research programme as aligned with CRiHSP priorities by securing external funding;
• Supervising of junior research staff in data collection, analysis and dissemination;
• Contributing to research programmes and projects led by other researchers in CRiHSP;
• Facilitating the integration and curation of clinical and other routinely collected data across (NUHS)
• Contributing to postgraduate course design and teaching and on the job training of evaluation fellows; and
• Mentoring of students and junior researchers.

Please note that this job description is not intended to be exhaustive. Duties and responsibilities outlined may be amended during appointment, in light of changing circumstances. In addition to these duties, the post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

Qualifications

Applicants will be evaluated based on the following selection criteria:

Qualifications

• A recognized Doctoral degree in Data Science, Statistics or a closely related field with a strong post-doctoral research record (essential)
  

Experience

• At least 4 years' postdoctoral experience
  Proven track record in handling and analyzing large healthcare dataset (essential)
  Track record of publishing in international peer-reviewed journals (essential)
  Researchers with existing research activities related to developing and using artificial intelligence methods in the context of health systems research are particularly encouraged to apply
  

Skills and Personal Attributes:

• Strong communication skills in English, both written and spoken (essential)
  Strong leadership skills with the ability to work independently and as part of a multidisciplinary team (essential)
  Highly developed problem-solving skills and adept at managing complex research data (essential)
  Evidence of potential to generate and maintain an independent stream of funding (essential)
  Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
  Ability to work with culturally diverse populations (essential)
  

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Prof Jose M Valderas at jmvalderas@nus.edu.sg.

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) as well as a cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above.