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 Summary

The Haematological Malignancy Genomics Laboratory, led by Professor Chng Wee Joo, focuses on using advanced genomics and proteomics methods to study the clinical and biological complexities of haematological malignancies such as multiple myeloma (MM), acute myeloid leukemia (AML), and NK/T-cell lymphoma (NKTL). This translational research program aims to discover diagnostic markers, identify novel therapeutic targets, and uncover molecular mechanisms of disease, advancing our understanding of cancer pathogenesis and potential treatments.

We are seeking a Research Assistant to support ongoing research in murine models. This role involves assisting in studies on mouse models to validate discoveries in haematological malignancies, with a focus on preclinical validation of novel therapeutic targets, therapeutic resistance mechanisms, and biomarker identification. This is a hands-on laboratory position requiring proficiency in animal handling, genotyping, and familiarity with experimental protocols involving mouse models.

Job Description

• Animal Model Handling:
  Conduct routine handling and care of laboratory mice, ensuring adherence to ethical and welfare standards.
  Support experimental setups in mouse models to study disease pathogenesis, progression, and therapeutic responses in haematologic malignancies.
  Perform injections, tissue sampling, and necropsies as required for experiments.
• Data Collection and Analysis:
  Assist in collecting and processing biological samples (e.g., blood, tissue) from mouse models for downstream molecular analyses.
  Maintain accurate records of experiments, data collection, and sample inventory in a clinical database for integrated bioinformatics analysis.
• Genomic and Proteomic Support:
  Assist in sample preparation for genomics and proteomics studies, including DNA/RNA extraction and preparation for sequencing and protein assays.
  Support preclinical validation of molecular markers and therapeutic targets identified from genomic studies.
• Laboratory Support and Maintenance:
  Ensure lab equipment related to mouse work is well-maintained and calibrated.
  Follow all safety protocols and maintain a clean, organized work environment.
  Assist in the maintenance of a comprehensive tissue bank, ensuring high-quality source material is available for research.
• Collaboration and Reporting:
  Collaborate closely with senior researchers, assisting in the analysis of data from mouse models.
  Report findings and observations to the research team and contribute to discussions on the impact of preclinical findings on clinical applications.

Requirements

• Bachelor’s degree in Biomedical Sciences, Molecular Biology, or a related field.
• Prior experience in laboratory animal handling, preferably with mouse models.
• Experience in haematological research or genomics/proteomics is an advantage.
• Knowledge of standard laboratory procedures for working with mouse models.
• Strong organizational skills, attention to detail, and ability to maintain accurate data records.
• Familiarity with molecular biology techniques such as DNA/RNA extraction, PCR, and Western blotting.
• Effective communication skills and ability to work collaboratively within a research team.

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 Coastal Protection and Flood Resilience Institute (CFI) Singapore at the National University of Singapore is hiring a Research Fellow (RF). The successful candidate will conduct research and technology scan on current and future trends in coastal protection and flood management solutions, including increasing use of AI in computational fluid dynamics, extreme event prediction and condition monitoring. He/she will also conduct research in some of the abovementioned topics and write research proposals to secure grants for CFI.

Job Requirements

• Possess a recognised PhD degree in civil engineering, mechanical engineering, computer science, or a related discipline
• R&D experience in coastal/offshore/structural engineering and/or AI and machine learning.
• Strong writing and communication skills.
• Ability to work independently and in a team .
• Open to fixed-term contract.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc Professor Alexandre THIERY on representation learning and high-dimensional time series under a project on particle methods for data-assimilation.

The main responsibilities of the position include:
• Methodology development
• Implementation of the methods
• Publication in journals and conferences
• Presentation of work in conferences

Qualifications

Qualifications / Discipline:

• PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:

• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
• Strong background in statistical modeling and machine learning
• Proven ability to develop and implement complex algorithms
• Excellent written and verbal communication skills
• Capable of conducting independent research and working collaboratively

Experience:

• Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
• Demonstrated experience in developing novel methodologies in representation learning
• Strong record of presenting at international conferences and workshops

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Associate (Data Scientist / Artificial Intelligence Specialist) in the Department of Biochemistry, Yong Loo Lin School of Medicine. Specifically, utilising data science approaches involving machine learning and artificial intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application, as well as for drug discovery in model organisms. Appointments will be made on a two-year contract basis, in the first instance, with the possibility of extension.

Purpose of the post

The successful candidate should have a strong background in advanced machine learning, artificial intelligence, and bioinformatics techniques with practical applications to biological / -omics data. Specifically, he or she will be responsible for data analysis and for developing advanced computational models, algorithms, and tools to analyse and interpret complex biological datasets derived from multi-omics data. The ideal candidate will combine a strong understanding of advanced statistical, and state-of-the-art artificial intelligence and machine learning methods, as well as expertise in programming languages such as R and/or Python with training in biology, biochemistry or a related discipline.

Main Duties and Responsibilities

The Research Associate will work with other team members to develop and validate biological ageing clock algorithms, and will be accountable to the Principle Investigator (PI). The Research Associate will be able to:

1. Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale biological datasets (e.g. clinical, genomics, transcriptomics, proteomics);
2. Collaborate with experimental biologists to design and analyse experiments, and interpret results;
3. Stay up-to-date on new computational methods and tools, and apply them to ongoing research projects;
4. Communicate research findings through publications, presentations, and reports;
5. Collaborate with cross-functional teams to integrate computational biology approaches with other disciplines (e.g. clinical medicine).

Qualifications

The applicant should:

• Have a Master’s degree or equivalent in Computational Biology, Bioinformatics, Bioengineering and/or Biology;
• Strong programming skills in relevant languages such as R and/or Python;
• Experience with biological data analysis and interpretation;
• Knowledge of biological systems and processes;
• Excellent communication and collaboration skills;
• Strong problem-solving skills and ability to work independently.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Jan Gruber at bchjg@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.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

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

• Bachelor Degree in Engineering or relevant field
• Experiences of (small-scale) simulations of air pollutant dispersion, meteorology modelling, data processing
• Demonstrating as a fast learner of conducting literature study and literature summary
• Experiences of handling big data via R, Python, Matlab, etc.
• Experience with UNIX-based operating systems and bash script or similar
• Strong interests in applying machine learning models and applications to atmospheric research
• 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

A Research Assistant position is available immediately in the Li-Ren Kong and Sanjay De Mel research team. The position is funded by a thematic grant under NUS Centre for Cancer Research (N2CR) to investigate the key drivers in multiple myeloma, with the eventual goal to develop a ex vivo screening model for drug development.

Duties & Responsibilities

Research:
- Handling and processing clinical samples for genomics and proteomics analyses, including the establishment of long-term culture models for in-depth molecular characterization and functional studies.
- Organize and document experimental results systematically.
- Analyse data and summarise findings for the research team.

Administrative duties:
- Assist with lab housekeeping and administrative duties as needed.
- To maintain the N2CR Avatar portal, including registering & updating new entries and keeping track of the usage of the portal.
- To assist with administrative or ad hoc duties under the N2CR organoid interest group.

Qualifications

- Bachelor’s or Master’s degree in molecular biology or cancer biology.
- Knowledge in cell culture and basic molecular biology techniques.
- Effective communication and presentation skills, with ability to work independently.
- Prior experience on handling human patient material or organoid culture is preferred.
- Experience in laboratory management is preferred but not essential.
- Ability to communicate fluently in written and spoken English

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) 3 referees including their name, contact information (email) and relationship to applicant

Job Description

We are looking for talented wet-lab Research Fellow to work with a multidisciplinary group of scientists on the discovery of new targets for therapy in Diabetic Nephropathy (DN), a devastating complication of diabetes causing significant morbidity, mortality and human suffering. In Singapore, the incidence of DN as a cause of end-stage kidney disease is among the highest in the world. The job will be part of the NMRC-funded project called Diabetes Study in Nephropathy and other Microvascular Complications II, and it will be based within the Centre for Computational Biology (CCB). This position will be for a period of 3 years, with possible extension depending on work performance and funding availability.

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:

• Independently carry out the design and execution of experimental research required by the research component of the project.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact on the relevant field attracting research funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Contribute to occasional educational / instructional activities and project management.
• Provide guidance and mentorship to undergraduate / medical students and research assistants.
• Maintain optimal experiment progress in the laboratory or in the research work undertaken.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in a related scientific area (e.g., Life Sciences/Biomedical Sciences, Pharmacology). Candidates with higher credentials may be considered for Senior Research Fellow appointment.
• Hands-on experience with transgenic models (breeding and maintenance) and surgery.
• Experience with rodents (mice/rats) phenotyping, including metabolic traits, biochemistry, histology and microscopy.
• Hands-on experience with wet-lab techniques in molecular and cell biology, including familiarity with primary cell cultures and inflammatory and metabolic cellular assays.
• Possess knowledge and experience in pharmacology and pharmacokinetics.
• Have a system-level understanding of human cardiometabolic pathology.
• Proven track record in the form of peer-reviewed research publications.
• Demonstrated capability of research independence progressively.
• Possess strong writing and critical thinking skills, as well as good communication and presentation skills.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

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 laboratory of Presidential Young Professor Liu Yuxin at National University of Singapore (NUS Bioelectronic lab website: https://www.lab-liu.com/) seeks postdoctoral fellows with strong enthusiasm and interest in implantable electronics, wearable electronics, flexible electronics, and bioelectronics research.

Key Responsibilities

• Lead and manage a multidisciplinary research project
• Design and conduct research in flexible electronics, implantable electronic, wearable electronics and electrical engineering area
• Validating the bioelectronics in pre-clinical or clinical model
• Prepare and draft manuscripts for high-impact journals

Qualifications

• Obtained or expecting a PhD degree in Electrical Engineering, Biomedical Engineering, Chemistry, Material Science and Engineering or related fields
• A strong interest in bioelectronics, wearable electronics, flexible electronics. Scientific curiosity and motivation to perform scientifically rigorous experimental work.
• Previous experience in printed electronic board (PCB) design, electronic circuits, firmware and APP development
• Excellence in conducting independent research with great critical thinking and experimental design. Interested in working in a multidisciplinary team and leading a multidisciplinary project
• Strong verbal and written communication skills in English
• Previous research experience in microfabrication is advantageous.

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

You will work as an integral part of the laboratory operations team, providing support to the laboratory manager in operations and related laboratory duties such as safety matters, procurement and core equipment training. If you thrive in a dynamic environment and have a passion for managing laboratory operations and contributing to scientific advancements, this role could be an exciting fit for you!

Key Responsibilities

• Oversee the daily operations of the laboratory, ensuring that all processes and procedures are followed accurately and efficiently
  Facilitate training and development of laboratory users
  Support the operations team on laboratory safety and documentation
  Ensure compliance with all relevant regulations and safety standards to maintain a safe working environment
  Manage the laboratory procurement of equipment and supplies, including negotiating contracts with vendors and suppliers
  Implement and oversee maintenance schedules for laboratory equipment to ensure optimal performance and longevity
  Maintain the microfabrication cleanroom in functional state
  Stay abreast of technological advancements to enhance operational effectiveness.
  Other ad-hoc duties

Qualifications

• Bachelor’s Degree in Engineering or related field from a reputable university
• At least one year of working experience in a research/laboratory environment and familiarity with research operations
• Working experience in rapid prototyping, CAD or cleanroom microfabrication is preferred, but not necessary
• Understanding of safety regulations and compliance
• Ability to work cooperatively and communicate effectively with team members and researchers
• Passionate in mastering research equipment and passing on knowledge to users

To apply, please send your cover letter, CV and three references (name, institution, email). Only shortlisted candidates will be contacted.

Job Description

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

The selected candidate will play a key role in a natural products-based drug discovery program, conducting analytical chemistry, bioassays, compound management, molecular and cell biology, and biochemistry laboratory experiments under the supervision of the Principal Investigator or his/her designate, including but not limited to the following:

• Support all aspects of the research project.
• Conduct extractions and fractionation of natural products.
• Execute cancer and other mammalian cell culture assays.
• Carry out antibacterial and antifungal assays and assist with microscopy imaging of cells.
• Perform molecular and phenotypic analyses to understand mechanism of action.
• Conduct accurate monitoring, documenting and reporting of experimental results and/or research findings.
• Assist with general upkeep of laboratory needs, procurement of reagents, 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 or Master’s Degree in Analytical Chemistry, Chemical Biology, Pharmacology, or other related fields. Candidates with higher credentials may be considered for the Research Assistant (Senior) position.
• Familiar with organic and analytical chemistry techniques, including chromatography and HPLC.
• Demonstrated knowledge and possesses experience in cell and molecular biology techniques such as cell culture, western blot, RNA and DNA isolation, and RT-qPCR.
• Strong interpersonal communication skills with excellent written, and computer skills.
• Well-organised and excellent record keeping skills are a must.
• A strong team player who is open-minded, energetic, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.

We regret that only shortlisted candidates will be notified.

Job Description

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

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

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

Job Requirements

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

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

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

Job Requirements

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

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

Job Requirements

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

We regret that only shortlisted candidates will be notified.

Job Description

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

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

Lead mouse model development and characterisation of viral disease.

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

Job Requirements

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

We regret that only shortlisted candidates will be notified.