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

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

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a dedicated and bioinformatics-trained Research Assistant/Research Associate to join our team! If you are passionate about contributing to ground-breaking research and have expertise in bioinformatics and related techniques, we want to hear from you.

Duties & Responsibilities

• Perform bioinformatics analyses related to RNA biology.
• Assist in data processing, storage, and management.
• Apply computational tools to analyze large-scale NGS datasets.
• Contribute to the design and implementation of research protocols.
• Collaborate with team members to publish results in scientific journals.

Qualifications

• Bachelor's or Master’s degree in Bioinformatics, Computational Biology, Genetics, or a related field.
• Experience in RNA biology research or (epi)genomic data analysis is highly desirable.
• Proficiency in programming languages (e.g., Python, R) for data analysis.
• Familiarity with (epi)genomic databases and RNA sequencing data processing tools.
• Strong problem-solving skills and the ability to work both independently and collaboratively.

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

The Genome Research Informatics and Data Science Platform is looking for a full Stack Software Developer to design, build and operate software systems in support of Institute and hosted programs. Your primary responsibilities include FE and BE Software Development and to ensure compliance with standards and policies (A*STAR, ISO etc)

Requirements

• Bachelor/Master Degree in IT/Computer Science
• Experience in scientific software development and full stack software DevOps
• Possess skills in Javascript for FE and BE, Java and Python
• Knowledge in Containerization and Serverless on Cloud (e.g. AWS Lambda) would be advantageous

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.

The Genome Research Informatics and Data Science Platform is looking for a full Stack Software Developer to design, build and operate software systems in support of Institute and hosted programs. Your primary responsibilities include FE and BE Software Development and to ensure compliance with standards and policies (A*STAR, ISO etc)

Requirements

• Bachelor/Master Degree in IT/Computer Science
• Experience in scientific software development and full stack software DevOps
• Possess skills in Javascript for FE and BE, Java and Python
• Knowledge in Containerization and Serverless on Cloud (e.g. AWS Lambda) would be advantageous

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 processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The NUS Academy for Healthy Longevity, a world-leading education and research group in geroscience and geromedicine, is seeking passionate and innovative Research Assistants (Exercise Science) to join our dynamic team. This exciting role offers a unique opportunity to contribute to groundbreaking research in the field of healthy longevity medicine, working at the forefront of clinical trials for gerotherapeutic interventions aimed at measuring and slowing biological age.

As part of the Healthy Longevity Translational Research Programme (HLTRP) within the NUS Yong Loo Lin School of Medicine, you will be at the heart of our mission to add healthy years to life by delaying aging, prolonging disease-free life, and enhancing quality of life. This position presents an unparalleled chance to shape the future of healthcare and make a lasting impact on global health outcomes.

Purpose of the Role

In the Research Assistant (Exercise Science) role at the NUS Academy for Healthy Longevity, you will play a crucial role in advancing our understanding of healthy aging through clinical trials and research initiatives. Your expertise will be instrumental in supporting groundbreaking studies aimed at measuring and slowing biological age, with a focus on gerotherapeutic interventions.

This dynamic position offers an exciting blend of clinical research and exercise science application. You will have the opportunity to work within multidisciplinary teams, contributing to the development, implementation, and evaluation of innovative protocols and interventions designed to improve health outcomes in middle-aged and older adults.

Your role will involve conducting exercise testing, prescribing personalized exercise regimens, and collecting vital data for our ongoing research projects. As we push the boundaries of geroscience, your analytical skills and exercise science knowledge will be key in interpreting results and contributing to the advancement of healthy longevity research.

This position presents a unique chance to be at the forefront of translating research into practice, potentially shaping future healthcare strategies and interventions. Join us in our mission to add quality years to life, working alongside world-renowned experts and utilizing state-of-the-art equipment in our pursuit of transformative discoveries in the field of geroscience and geromedicine.

Main Duties and Responsibilities

The Research Assistant (exercise science) is expected to:

• Work with the clinical and research teams to manage the day-to-day activities of the various services including their development, delivery, and evaluation.
• Perform routine clinical assessments according to Standard Operating Procedures in clinical practice and ongoing research studies.
• Interpret participant tests and procedures, including physiological measurements, such as VO2max, anthropometric measurements, as well as prescribe aerobic and resistance exercises based on current clinical guidelines.
• Perform recruitment of clinical service participants for research studies, and scheduling for study visits.
• Support the research and clinical teams with other activities when required.
• Maintain clinical documentation, including Standard Operating Procedures, data records, equipment maintenance.

Main Duties and Responsibilities

• Assess and validate new assessment methods before implementing into clinical practice and research.
• Train new staff and students on Standard Operating Procedures.
• Mentor and identify training needs for junior staff.
• Comply with clinical inventory management procedures.
• Comply with good clinical practice.
• Coordinate with team to help ensure that clinical research and related activities are performed in accordance with national regulations, university/institute and sponsoring agency’s policies and procedures.

Qualifications

The applicant should have:

• Bachelor’s degree in exercise science and/or allied health with a strong interest in implementing exercise testing and prescription for adults.
• Minimum 2-3 years of relevant clinical experience is preferred.
• Understanding of or experience with human clinical studies and or observational longitudinal studies
• Experience in routine clinical assessments in research studies is advantageous.
• Excellent organisational skills and the ability to undertake a range of tasks concurrently.
• High level of verbal and written communication skills with the ability to convey complex information in easily understood format for a variety of audiences.
• Ability to speak a second local language would be an advantage as you may need to interact with patients who only speak their mother tongue.
• Ability to work independently and as part of a multidisciplinary team linking different fields (e.g. exercise sciences, geroscience, nutrition).

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 3 referees).

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are joining forces with universities, public agencies, and industry for the advancement of future technologies.

Our large-scale Food Science program, ‘Proteins4Singapore,’ funded by Singapore’s National Research Foundation (NRF), is a collaborative effort between the Technical University Munich (TUM), Nanyang Technological University (NTU), the Singapore Institute of Technology (SIT), and A*STAR’s Singapore Institute of Food and Biotechnology Innovation (SIFBI). As part of the Proteins4Singapore team, you will work alongside renowned scientists in plant and food technology, food chemistry, materials science, and business sustainability. Through interdisciplinary collaboration, the program aims to develop state-of-the-art methods and techniques to ensure a sustainable protein supply for highly urbanized environments.

Please visit www.tum-create.edu.sg for more information about TUMCREATE.

Job Title

Research Fellow in Soft Materials Science (Biophysical Characterisation of Food Textures)

Job Summary

We are seeking a highly motivated and skilled Research Fellow to join our dynamic research team focusing on the biophysical characterisation of food textures and their molecular building blocks. As part of the Proteins4Singapore project, the Research Fellow will contribute to innovative methodologies for nano- and micro- scale structural characterization of complex soft matter. This position plays a critical role in advancing sustainable protein solutions for urban environments through interdisciplinary collaboration, drawing expertise from physical chemistry, food science, and soft matter physics. This is a fixed term contract until March 2027.

Key Responsibilities

• Conduct experimental studies on protein hydration, emulsification, gelation, and phase separation in food systems.
• Perform experimental work related to nano- and micro- structuring, utilizing advanced biophysical characterization techniques such as X-ray, neutron, and light scattering, as well as other spectroscopic and imaging methods.
• Develop and apply new methods for studying nanoscale wetting, protein hydrophobicity, and viscoelastic properties of complex food textures using acoustic and scanning probe techniques.
• Elucidate on protein-protein interactions and self-assembly processes, aiming to control structure formation at micro- and nanoscales in food matrices.
• Collaborate with cross-disciplinary teams to integrate multiscale structural analysis with food processing techniques, including 3D printing and extrusion, thereby contributing to the project’s long-term goals of advancing sustainable food technologies and developing innovative methodologies for food texture analysis
• Engage in collaborative research, data analysis, and interpretation, while contributing to the writing of research papers, reports, and presentations for dissemination at conferences and in peer-reviewed journals.
• Participate in lab meetings, seminars, and collaborative research discussions to align with project goals and objectives.
• Supervise junior group members including undergraduate and doctoral students.

Key Competencies

• Experience in studying soft matter and colloidal systems, including colloidal interactions and structure formation.
• Strong understanding of molecular self-assembly and phase behaviour in soft matter systems.
• Expertise in biophysical characterization techniques, such as X-ray, neutron, and light scattering, as well as atomic force, confocal laser scanning, or electron microscopy for structural resolution of soft matter systems
• Strong analytical skills, with experience in using statistical tools for experimental design and data optimisation.
• Excellent communication skills, both written and verbal, in particular communication of complex scientific concepts to both specialists and non-specialists in a multidisciplinary research environment.
• Proven ability to conduct independent research and collaborate in multidisciplinary teams including working effectively within deadlines.
• Self-motivated and adaptable, with strong problem-solving skills and the ability to thrive in a dynamic, fast-paced research environment.

Qualification Requirements

• Ph.D. in Chemistry, Chemical Engineering, Materials Science, Food Science or cognate discipline from a reputable university.
• At least 1 year of experience in experimental soft matter research.
• Excellent written and verbal communication skills in English.

What we offer

• A collaborative and inclusive world class research environment.
• Access to state-of-the-art laboratory facilities and equipment.
• Opportunities for professional development and career growth.
• Engagement with a leading research team committed to advancing an emerging topic of global relevance.

Applications

Please send your complete application, including cover letter, CV, university transcripts, and degree certificates, hr@tum-create.edu.sg.

Only shortlisted candidates will be contacted.

We are looking forward to your application!

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 Professor XIA Yingcun on Statistical learning of complicated health data under a project on Tensor dimension reduction for multimodal data and its application in EEG analysis.

Qualifications

• Qualifications / Discipline: PhD in Statistics and Data Science.

• Skills: The successful candidate needs to have experience in large-scale data analysis, advanced probability and statistical techniques, and strong computer programming skills.

• Experience: 2 years of research experience in machine learning methods.

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• Performs technician work that is supportive of professionals in resource management (i.e. Wildlife Biologists). These positions are primarily concerned with research, conservation, and management of wildlife; the control of wildlife; or determination, establishment, and application of the biological facts, principles, methods, techniques, and procedures necessary for the conservation, management, and control of wildlife.
• Implements natural resource management projects following established procedures. Collects and organizes field data, ensuring quality control of data or collected samples. Provides assessment and classification of data.
• Assists in the preparation of reports, plans, and guidelines related to resource management projects.
• Provides logistical support for resource management projects as well as advice, assistance, and training to students, volunteers or lower graded technicians.
• Uses a variety of computer programs to compile, reduce, store, retrieve, analyze, and report data and other resource management information. Uses a wide variety of specialized equipment to carry out resource management projects.
• GS-7 position is distinguished from GS-6 in the following ways: assignments require that the incumbent have greater knowledge, experience, and judgment in order to complete a variety of conventional projects of relatively limited scope; independently resolve problems for which precedents exist; select, from several alternatives, the most appropriate course of action for planning and executing work; and apply a wide range of conventional methods and solutions to new situations. As a result, the position has a broader scope and effect; unlike lower-graded positions, this position directly affects the design, operation, and adequacy of natural resource activities.

Job Description

Sea group is seeking research scientists to join Sea AI Lab (SAIL). SAIL focuses on fundamental research and application research on Artificial Intelligence (AI), which include deep learning, machine learning, computer vision, etc. The role of a research scientist is to design novel models and propose new general-purpose algorithms that help machines perceive, think, and act in the world. The ideal candidate should have an enthusiasm in advancing the understanding of intelligence and a passion for ambitious breakthroughs in AI. To learn more about our research and our lab, please visit https://sail.sea.com/

• Conduct fundamental research on artificial intelligence problems, including but not limited to the understanding of (labelled and/or unlabelled) data from multiple modalities (image, video, text, audio, bio-data, etc); 3D computer vision; network architecture design; generative models; large-scale optimization;
• Research on long-term ambitious goals, while laying out intermediate milestones;
• Publish influential research work on top conferences and journals;
• Collaborate on large projects that are strategically prioritized by the SAIL.

Job Requirements

• Previous research experience in a university, industry, or government lab(s), in a role with primary emphasis on AI research;
• Holding a Ph.D. degree in computer science, statistics, applied mathematics, data science or other related disciplines;
• First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL) and journals (e.g., TPAMI, JMLR, AIJ), or authored publications in CNS (Cell, Nature/Nature research journals, Science);
• Knowledge in one of the differentiable programming frameworks, e.g., PyTorch, TensorFlow, JAX;
• (Preferred) Track record of high impact research (e.g. multiple papers with 100+ citations);
• (Preferred) Received best paper or equivalent awards in the aforementioned conferences;
• (Preferred) Winner of international academic competitions.

As a Biological Science Technician your duties will include, but are not limited to, the following:

• The incumbent participates in multifaceted wildlife studies, including carrying out a variety of research and survey methods, analyzing established data, and monitoring environmental elements related to conservation, management, and/or control of wildlife. Assists with performing biological studies for determining the manner and extent to which wildlife populations are affected by management activities. Uses field equipment including cameras, GPS equipment, binoculars, rangefinders and computers in order to capture wildlife survey data or for other records. Independently identifies and collects data for studies.
• Surveys and observes avian populations, looking for abundance, behavior, habitat, sex and age structure, and seasonal movements. Identifies birds by sight and sound. Collects avian morphometric data and biological samples by capturing, measuring, bleeding, and marking birds. Uses field equipment including cameras, GPS equipment, binoculars, rangefinders and computers in order to capture avian survey data or for other records.
• The incumbent participates in multifaceted plant studies, including carrying out a variety of research and survey methods, analyzing established data, and monitoring environmental elements such as temperature, humidity, etc., and how it impacts plant health. Uses field equipment including cameras, GPS equipment, binoculars, rangefinders and computers in order to capture survey data or for other records. Conducts and/or monitors grazing activities, water control structures, and/or management monitoring studies. Identifies native and exotic flora and fauna.
• Survey's location for invasive species populations. Works with the biologists to outline a plan to minimize or remove invasive species. Uses field equipment including cameras, GPS equipment, binoculars, rangefinders and computers in order to capture survey data or for other records. Assists with invasive species removal projects, recording and submitting accomplishment data on the process of technical assistance and habitat restoration activities.
• The incumbent uses a variety of databases and reporting systems to store, compile, and analyze data from monitoring and studies.
• Loads and unloads materials and equipment, cleans grounds, collects and disposes of refuse and performs a variety of light maintenance and housekeeping tasks involving the use of hand and power tools and equipment. Assists with outdoor projects such as trail maintenance.

As a Biological Science Technician your duties will include, but are not limited to, the following:

• Assists in planning and execution of wildlife studies, censuses and surveys such as establishing schedules and procedures for accomplishing and reporting the work. Monitors and implement activities related to conservation, management, and/or control of wildlife. Captures, applies visual and radio tags, and gathers physiological and spatial data on wildlife.
• Assists in planning plants surveys and recommends plant management practices. Monitors and assists in control plant disease outbreaks, pest plant control, mowing/seeding activities and vegetation removal.
• Collects, assesses, and organizes biological and physical environment data from field investigations and reports findings to determine actual and potential impact on fish, wildlife or plant resources from development projects, restoration projects or habitat improvement projects.
• Use automated databases to enter, organize and perform preliminary analysis of collected field data, using standard statistical methods in preparation of wildlife and/or botany reports. Analyze and summarize biological data using a variety of database software programs or other presentation approaches, ensuring records are detailed, precise and accurately transferred (e.g., terrestrial, geologic, geographic, hydrologic, ecologic, and environmental data).
• Assist in preparing news release drafts for area media, and/or presenting informational or educational programs to individuals, local organizations, and schools.
• Operates farm tractors, light trucks, vehicles, small water craft and various other equipment such as generators, radios, radio tracking equipment, water monitoring equipment, global positioning systems and cameras. Provides work direction and guidance to biological technicians and volunteers and YCC enrollees, including safe handling of tools and operation of motorized vehicles and watercraft. Collects physiological and demographic data on harvested game at hunter check stations.

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

Research Group Overview: The Tissue Mimetics group at the Faculty of Dentistry, National University of Singapore (NUS) laboratory is primarily focused on developing next-generation tools for dental and craniofacial research. In particular, we focus on combining the expertise in stem cells, tissue engineering, microfluidics, organ-on-a-chip, 3D bioprinting, and non-invasive imaging to mimic various microphysiological features of tissues in health and diseased states and for translational regenerative applications.

Job Description: We are seeking a highly creative and self-motivated, full-time Research Fellow for a multi-disciplinary project on the fabrication of cardiac and vascular tissues using 3D bioprinting and microfluidic organ-on-chip strategies. The successful candidate will manage laboratory operations and work independently on a project involving advanced research techniques in biofabrication (3D bioprinting, microfluidics), 3D cell culture, molecular biology, 3D imaging, and image analysis. This research will be primarily conducted at the Faculty of Dentistry (NUS), and at collaborator’s labs at the Institute for Health Innovation & Technology (iHealthtech), and National Heart Research Institute Singapore (NHCS/NHRIS).

Responsibilities:

• Be proficient in 3D design, Bioink/hydrogel formulation, and 3D bioprinting of cells and tissues.
• Operate extrusion-based 3D bioprinters independently.
• Independently and collaboratively manage the optimization, development, and characterization of hydrogels, bioink formulation, 3D bioprinting, and tissue culture processes.
• Microfluidic design, fabrication, and optimization of microfluidic organ-on-a-chip devices.
• Conduct confocal microscopy and immunostaining for high-resolution imaging and detection of specific proteins in cells and tissues.
• Confident and proficient in the handling of stem cells, 3D culture, biomaterials, and variety of molecular assays, histological, and 3D imaging techniques.
• Maintain accurate laboratory records and ensure compliance with safety and ethical guidelines.
• Coordinate with multidisciplinary teams and assist in the preparation of research reports, grant proposals, and publications.
• Identify and coordinate with external vendors for resource procurement.
• Closely interact with multi-disciplinary collaborators including clinicians, biologists, and engineers.

Qualifications

• PhD degree in Bioengineering, Biomedical Sciences, Tissue Engineering, Dentistry, or related field.
• Working experience and proficiency in bioink fabrication, 3D (bio)printing, microfluidics, and/or tissue engineering.
• Proficiency in 3D design, AutoCAD, Fusion, Solidworks, COMSOL, ANSYS, or related applications.
• Strong expertise in cell culture and handling of stem cells, molecular biology, immunostaining, and confocal imaging techniques.
• Evidence of these skillsets through first-authored (preferably) and/or co-authored original research publications in the field of 3D bioprinting, microfluidics, and/or tissue engineering.
• Strong organisational, literature review, administrative and problem-solving skills.
• Be proficient in the preparation of research reports and publications.
• Highly self-motivated, ability to work both as part of a team and independently with excellent presentation and communication skills (both written and verbal in English).