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 ADJ Laboratory at Cancer Science Institute, focuses on understanding the immune system's recognition of cancer cells after DNA-damaging chemotherapy. The lab’s goal is to guide the rational design of immunotherapy-chemotherapy combinations for cancer treatment, with a particular emphasis on lymphomas and collaborations with the NUH Lymphoma team. The Research Fellow will play a pivotal role in advancing these efforts by conducting cutting-edge research at the intersection of molecular and cellular biology, immunology, and translational cancer therapy.

1. Conduct Research:Investigate intracellular mechanisms in cancer cells influencing immune activation after DNA damage.
   Develop and evaluate combination strategies to enhance the efficacy of genotoxic chemotherapy using cell-intrinsic and cell-extrinsic approaches.
   
2. Experimental Design and Execution:Utilize cell line models for epithelial and lymphoid cancers to study DNA repair and immune activation mechanisms.
   Design and perform in-vitro assays and systems to analyze immunogenic responses to chemotherapy.
   Perform quantitative microscopy on histological material to explore immune modulation pathways.
   
3. Data Analysis and Dissemination:Analyze experimental results, interpret findings, and prepare research publications in high-impact journals.
   Present research outcomes at local and international conferences.
   
4. Collaborations:Work closely with local and international collaborators for clinical sample acquisition and analysis.
   Partner with pharmaceutical and medical technology companies to facilitate clinical translation and biomarker development.
   
5. Mentorship and Supervision:Provide guidance and mentorship to graduate students, post-doctoral researchers, elective students, and medical trainees involved in the lab’s projects.
   
6. Research Development:Contribute to securing research funding through grant proposals and fostering academic-industry collaborations.
   

Qualifications

• Education and Experience:Ph.D. in Molecular Biology, Immunology, Cancer Biology, or a related field.
  Experience in translational cancer research and familiarity with immune-oncology.
  
• Technical Skills:Proficiency in cell culture, molecular biology, and immunological assays.
  Experience with DNA repair assays, flow cytometry, and quantitative microscopy.
  Competence in bioinformatics and data analysis tools will be advantageous.
  
• Soft Skills:Strong analytical and problem-solving abilities.
  Excellent communication skills and the ability to work collaboratively in a diverse team.
  Commitment to promoting diversity and mutual respect in science.
  
• Additional Attributes:Proven track record of scientific publications and presentations.
  Ability to manage multiple projects and meet deadlines.
  Familiarity with clinical sample handling and translational research methodologies.

Lee Kong Chian School of Medicine (LKCMedicine) is recruiting a Research Fellow specialising in the field of digital health and health education in Professor Jennifer Cleland’s group. LKCMedicine is a joint medical school between Nanyang Technological University (NTU) and Imperial College London.

As a Research Fellow, you will play a pivotal role bringing expertise in digital health and health education, working closely under the guidance of Professor Cleland. The role involves providing crucial support to Professor Cleland, who leads the World Health Organization Collaborating Center (WHOCC) for Digital Health and Health Education. The role will involve conducting evidence synthesis using various methods (quantitative, qualitative, mixed methods) for systematic reviews. The applicant will collaborate with a multidisciplinary team of systematic reviewers to evaluate evidence on digital health and health education topics. The impact of your contribution will directly contribute to the field of digital health and health education at the regional and international platforms.

Key Responsibilities:

• Perform extensive review for various types of deliverables (e.g., policy briefs, white papers, background papers, technical briefs, research protocols, peer-reviewed publications) on a wide range of digital heath and health education policy topics.
• Search and assess potential sources of qualitative and quantitative data, evidence, and information that are suitable for addressing project questions and objectives.
• Analyse and interpret data from diverse sources.
• Simplify and communicate complex information from various inputs into clear and accessible written materials for different audiences.
• Prepare written and/or oral reports and analyses to present findings.
• Produce high-quality written work products and deliverables.
• Organise, implement, and coordinate activities to execute assigned tasks and projects.
• Coordinate project activities and logistics with stakeholders, industry representatives, and policy professionals as needed to support project execution, data collection, and/or dissemination of results.
• Prepare internal briefing and or meeting materials on assigned projects.
• Support Principal Investigator in drafting presentations, speaking points, and visualisation aids.
• Foster strong and supportive working relationships across the project team(s) and Centre.

Key Competencies and Requirements:

• PhD in Health Policy, Public Health, Public Administration, Epidemiology, Nursing, Biostatistics, Social Sciences or a related discipline.
• Proficiency in medical terminology, evidence-based medicine and the utilisation of epidemiologic principles in guideline formulation.
• Background in crafting and executing diverse types of evidence synthesis, encompassing scoping reviews, systematic reviews, integrative reviews, etc.
• Proven track record in peer-reviewed publications, with experience as lead/first author.
• Demonstrated success of project implementation and management.
• Experience in research grant application, grant reporting, and research agreements management.
• Experience in supervising for junior researchers and/or students.
• Strong ability to integrate knowledge from diverse disciplines for comprehensive evidence synthesis.
• Effective verbal and written communication skills, especially in translating complex findings for varied audiences.
• Organised, detail-oriented, meticulous, and proficient in handling data.
• Responsible and takes ownership of assigned tasks.
• Proficient in ensuring adherence to institutional guidelines, policies and regulatory requirements throughout project lifecycle.
• Highly motivated and able to work independently, as well as collaboratively in a diverse and interdisciplinary team.
• Effective computer and technology literacy.
• A willingness to take new projects as they arise.

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 ADJ Laboratory at Cancer Science Institute, focuses on understanding the immune system's recognition of cancer cells after DNA-damaging chemotherapy. The lab’s goal is to guide the rational design of immunotherapy-chemotherapy combinations for cancer treatment, with a particular emphasis on lymphomas and collaborations with the NUH Lymphoma team. The Research Fellow will play a pivotal role in advancing these efforts by conducting cutting-edge research at the intersection of molecular and cellular biology, immunology, and translational cancer therapy.

1. Conduct Research:Investigate intracellular mechanisms in cancer cells influencing immune activation after DNA damage.
   Develop and evaluate combination strategies to enhance the efficacy of genotoxic chemotherapy using cell-intrinsic and cell-extrinsic approaches.
   
2. Experimental Design and Execution:Utilize cell line models for epithelial and lymphoid cancers to study DNA repair and immune activation mechanisms.
   Design and perform in-vitro assays and systems to analyze immunogenic responses to chemotherapy.
   Perform quantitative microscopy on histological material to explore immune modulation pathways.
   
3. Data Analysis and Dissemination:Analyze experimental results, interpret findings, and prepare research publications in high-impact journals.
   Present research outcomes at local and international conferences.
   
4. Collaborations:Work closely with local and international collaborators for clinical sample acquisition and analysis.
   Partner with pharmaceutical and medical technology companies to facilitate clinical translation and biomarker development.
   
5. Mentorship and Supervision:Provide guidance and mentorship to graduate students, post-doctoral researchers, elective students, and medical trainees involved in the lab’s projects.
   
6. Research Development:Contribute to securing research funding through grant proposals and fostering academic-industry collaborations.
   

Qualifications

• Education and Experience:Ph.D. in Molecular Biology, Immunology, Cancer Biology, or a related field.
  Experience in translational cancer research and familiarity with immune-oncology.
  
• Technical Skills:Proficiency in cell culture, molecular biology, and immunological assays.
  Experience with DNA repair assays, flow cytometry, and quantitative microscopy.
  Competence in bioinformatics and data analysis tools will be advantageous.
  
• Soft Skills:Strong analytical and problem-solving abilities.
  Excellent communication skills and the ability to work collaboratively in a diverse team.
  Commitment to promoting diversity and mutual respect in science.
  
• Additional Attributes:Proven track record of scientific publications and presentations.
  Ability to manage multiple projects and meet deadlines.
  Familiarity with clinical sample handling and translational research methodologies.
  

Company background

Keystone’s mission is to be a leading asset management firm that helps our clients realise their investment goals. To achieve excellence, we have created a world-class team by actively recruiting the most talented and experienced personnel. Founded in 2021, Keystone is headquartered in Singapore.

Job responsibility & requirements

• 5 years of relevant buyer or seller experience, the core requirement is to be persistent in details, but with a view of the overall situation. Work location in Singapore. Covering the entire Asia-Pacific and global related industry groups and companies. Look for long and short opportunities.
• Covering research analysts across sector teams but with a Japan/Korea focus: tracking market changes in the industrial chain, order trends, and detailed explanations of industry company model data
• Studying consumer behavior patterns within the healthcare industry, including preferences, purchasing habits, and decision-making processes. Analyzing demographic data and psychographic information to understand consumer motivations and needs.
• Keeping abreast of current and emerging trends in the healthcare sector, including technological advancements, regulatory changes, and healthcare policy developments. Forecasting future trends and their potential impact on consumer behavior and market dynamics.
• Interpreting complex data sets related to healthcare and consumer research, using statistical analysis and data visualization tools. Creating detailed reports and presentations that communicate findings, insights, and recommendations to stakeholders and decision-makers.

Work Location

10 Collyer Quay

#24-06/07 Ocean Financial Centre

Singapore 049315

Job Description

The Skin Research Institute of Singapore (SRIS) is a world-class research institute dedicated to improving skin health for all. Lee Kong Chian School of Medicine’s Skin Program has an important role in SRIS, focusing on inflammation and skin integrity and led by prominent scientists in the field. Our research covers the full spectrum from basic to applied, always departing from practical issues faced by consumers and people with skin diseases alike. Our work has strong impact as reflected in publications in high-ranking journals, high-value collaborations with industry and successful commercialization in spin-out companies

We are looking for a Senior/Research Fellow to work on advanced in vitro models of Asian aging skin. The role will focus on < the development of skin equivalents that mimic key aspects of aging in Asian skin types as faithfully as possible. The work is a key effort in a large Programme that aims to improve our understanding of Asian skin aging and develop interventions to support Asian skin health.

Key Responsibilities:

• Develop and test in vitro aging skin models in collaboration with other partners in the program
• Communicate and coordinate with other efforts (work packages) in the program
• Regular reporting of findings to program stakeholders
• Support programme manager in reporting and (financial) administration on the skin model work package
• Where necessary, support/supervise research assistants and (under)graduate students
• Participate in general lab upkeep and maintain the highest lab safety standards
• Active participation in scientific lab and institute events such as lab meetings and seminars

Job Requirements:

• PhD degree in a biomedical (or related) research field
• Excellent written and oral communication skills
• Proficient in general molecular biology, (advanced) mammalian cell culture, modern microscopy techniques and image analysis
• Committed to scientific excellence, and with a practical mindset.
• Preferred: prior exposure to skin research, knowledge of microbiology, some experience with R/Python and data analysis.
• Able to work collaboratively in a multidisciplinary environment and to deal with time pressure.
• Entry level candidates are welcome to apply

With close to 50 economists and 200 economics and government reporters worldwide, Bloomberg has an outstanding capacity to explain where the global economy and geo-politics are now, where they might be heading, and the ways in which the forces interact. Bloomberg Economics offers a macroeconomic research service for Terminal subscribers. That includes detailed forecasts, supported by meticulous and original thematic research. The economists also produce previews of data releases and economic events, analysis of the numbers as they break. The goal is to offer Bloomberg clients a deeper insight into the themes that drive policy, financial markets and capital flows.

We are hiring for an Editor to join our team in Singapore. The Asian economy is critical for Bloomberg clients. Delivering timely, high-value research on monetary and fiscal policies and the future path of growth, inflation and other variables, and how geo-politics is increasingly shaping outcomes in a diverse, dynamic region spanning China to India and New Zealand will be essential to the ongoing success of Bloomberg Economics. In a crowded field, it will also be an opportunity to distinguish ourselves from the competition.

The successful candidate will be responsible for editing economic research that is aimed at helping our clients understand what’s driving growth, inflation, policy, financial markets, trade, and capital flows. You will be responsible for editing research from around the Asian region - everything from fast turnaround Reacts to more considered Insights featuring original analysis and research by our Asia economists. You will also coordinate with other editors to ensure seamless support for the global team. We’ll measure success by the quality and speed of editing and impact in terms of delivery across all Bloomberg channels.

We’ll trust you to:

• Ensure our economic analysis is tightly written, well-structured, compelling, and delivered quickly and accurately - routinely under tight deadline
• Complement the technical expertise of our economists by exercising news judgement on when to write, and how to write and frame research
• Collaborate with teams across news and research to ensure our research reaches the widest possible audience. This includes editing material for different platforms and coordinating with regional news desks and editors

You’ll need to have:

• Bachelor's degree or degree-equivalent qualifications
• 10+ years of professional experience with at least 5 years in financial news outlets or in the financial services industry
• Experience working in a real-time publishing environment
• Experience editing news or research on economics
• Demonstrated skill at crafting narratives for a professional financial audience and delivering tightly structured, quick turnaround pieces with a focus on accuracy, readability and added value
• Proficiency at editing technical material, sound understanding of basic economic and financial concepts and the ability to write about data in a clear, accessible way
• Strong communication and teamwork skills
• Excellent written and verbal communication skill in English
• Energy and initiative to support our economists and help drive delivery of research in a fast-paced, dynamic environment
• Demonstrated continuous career growth within an organization

Life at Bloomberg is many things, but it’s never dull. We’re a truly global business with a truly diverse workforce. We pride ourselves on being open, inclusive and collaborative, and provide a work environment that inspires our employees to be their best. We offer competitive compensation, comprehensive healthcare coverage, and programs to support you and your family through different life stages, from parental leave to generous retirement savings plans.

If this sounds like you:
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: www.bloomberg.com/professional

Learn more about our office and benefits:

Singapore | www.bloomberg.com/singapore

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Job Description

The Skin Research Institute of Singapore (SRIS) is a world-class research institute dedicated to improving skin health for all. Lee Kong Chian School of Medicine’s Skin Program has an important role in SRIS, focusing on inflammation and skin integrity and led by prominent scientists in the field. Our research covers the full spectrum from basic to applied, always departing from practical issues faced by consumers and people with skin diseases alike. Our work has strong impact as reflected in publications in high-ranking journals, high-value collaborations with industry and successful commercialization in spin-out companies

We are looking for a Senior/Research Fellow to work on advanced in vitro models of Asian aging skin. The role will focus on < the development of skin equivalents that mimic key aspects of aging in Asian skin types as faithfully as possible. The work is a key effort in a large Programme that aims to improve our understanding of Asian skin aging and develop interventions to support Asian skin health.

Key Responsibilities:

• Develop and test in vitro aging skin models in collaboration with other partners in the program
• Communicate and coordinate with other efforts (work packages) in the program
• Regular reporting of findings to program stakeholders
• Support programme manager in reporting and (financial) administration on the skin model work package
• Where necessary, support/supervise research assistants and (under)graduate students
• Participate in general lab upkeep and maintain the highest lab safety standards
• Active participation in scientific lab and institute events such as lab meetings and seminars

Job Requirements:

• PhD degree in a biomedical (or related) research field
• Excellent written and oral communication skills
• Proficient in general molecular biology, (advanced) mammalian cell culture, modern microscopy techniques and image analysis
• Committed to scientific excellence, and with a practical mindset.
• Preferred: prior exposure to skin research, knowledge of microbiology, some experience with R/Python and data analysis.
• Able to work collaboratively in a multidisciplinary environment and to deal with time pressure.
• Entry level candidates are welcome to apply

Healthcare is one of the most promising research directions in artificial intelligence (AI) for industry, public health and academia, and AI-driven solutions have the potential to make significant impact in society by enabling better patient management through improved diagnosis and treatment.

The Singapore National Eye Centre/Singapore Eye Research Institute (SNEC/SERI), in collaboration with Nanyang Technological University (NTU), is seeking a highly qualified individual to take on a significant role in this exciting and rapidly developing research direction at the cross-roads of healthcare and artificial intelligence.

He/ She will be expected, but not limited to:

• Develop machine-learning and deep-learning solutions to address current clinical challenges, including segmentation, detection, and prediction, through the use of large-scale medical/ophthalmic images and data from state-of-the-art clinical platforms
• Perform research in medical image processing and develop novel approaches to multimodal imaging (2D and 3D) using imaging systems ranging from current clinical systems to novel imaging prototypes
• Conduct and coordinate research within SNEC/SERI and NTU in line with its research strategy and under the direction and supervision of the Principal Investigators and Collaborators
• Manage these research projects in a team-based, cross-functional research environment, which include supervising doctoral and master students, research assistants, and technical and other support staff
• Publish research outcomes in appropriate journals of international standing and to publish and disseminate the result of research and scholarship in other reputable outlets
• Attend and present research findings and papers at academic and professional conferences, and to contribute to the external visibility of the department
• Draft research report for Principal Investigators
• Undertake specific roles and management functions as may be reasonably required by the Principal Investigators
• Attend meetings and to participate (where necessary) in other committees and working groups within SNEC/SERI and NTU
• Ensure compliance with health and safety in all aspects of work

Job Requirements

• Ph.D. in Computer Science, Computer Engineering, Electrical or Information Engineering, Biomedical Engineering, or related discipline
• Previous experience in OCT, software development in OCT and OCT signal analysis would be an advantage
• Possess good programming and image processing skills (e.g., MATLAB, Python)
• Able to work independently, as well as in a team-based, cross-functional research team

Job Description

• Industry/ Organization Type: Chemical Manufacturing
• Position Title: Research Officer (R&D)
• Working Location: Central
• Working Hours: Monday to Friday (8.45 AM – 5.30 PM)
• Salary Package: Basic Salary up to $3,800 + AWS + Bonus + Transport Allowance + Flexible Benefits
• Duration: Contract (3 years – Renewable)

Key Responsibilities

• Develop new technologies for molecular and immunological assays.
• Integrate assays into prototype medical devices.
• Handle ordering and payment using the SAP system.
• Ensure that all assays and processes meet stringent quality standards and regulatory requirements.
• Analyze experimental data to draw meaningful conclusions and make recommendations for further research.
• Work closely with cross-functional teams, including R&D, production, and quality assurance, to ensure seamless integration of new technologies.
• Adhere to all safety protocols and guidelines to maintain a safe and compliant work environment.
• Identify areas for process improvement and implement changes to enhance efficiency and effectiveness.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Bachelor’s Degree in Life Sciences, Microbiology, Molecular Biology or relevant discipline
• At least 1 year of relevant research or laboratory R&D experience
• Experience in assay development is an added advantage

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #68611 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

Position Available: Research Fellow in Theoretical Polaritonics

Following the commencement of a new NRF CREATE project (N-GAP) and a soon to start MOE Tier 3 project (Quantum Geometric Advantage), we need to increase the capacity of our group to perform theoretical research and meet the project objectives.

Key Responsibilities:

• Conduct theoretical modelling of exciton-polariton systems
• Provide modelling of exciton-polariton networks and lattices

Job Requirements:

• PhD degree in theoretical polaritonics or related areas, with focus on the modelling of exciton-polariton lattices
• Experience in the physics of topological phases of matter, nonlinear optics, and open quantum systems
• Strong publication record

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

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

The Clinical Research Coordinator (CRC) shall help investigators conduct mainly investigator-initiated clinical trials. The CRC has to ensure that clinical trials are conducted and recorded in accordance with the protocol, Good Clinical Practice (GCP) Guidelines, all applicable regulatory requirements and the Clinical Trials Operations’ Standard Operating Procedures.

Key Responsibilities:

• Accomplish the study’s target enrolment as per agreed study timelines or shorter through effective recruitment strategies.
• Regular discussion or follow-up with study team on subject screening & recruitment rates eg. email communication or team meetings with Drs.
• Timely response/followup to email enquiries within 10 working days or less.
• Foster good working relationships and collaborate effectively across all streams to promote operational efficiency
• Invoicing is carried out on time and payment can be received with minimal delays.

Key Requirements:

• Degree in Nursing, Degree in Medicine, Pharmacy or Healthcare / biological sciences, preferably with experience in clinical trials or clinical research.
• 1-2 years experience in the conduct of clinical trials, specializing in Heamatology / Oncology interventional trials, governed under Health Product Act.
• Must have knowledge of setting up cell therapy trials.
• Must already been trained in ICH GCP.
• Meticulous and possesses good organizational and time management skills.
• Good communication and interpersonal skills.
• Independent learner, Meticulous and possesses good organizational and time management skills.
• Team player and work well with external collaborators and partners.
• Proactive in learning and helping other CRCs in issues with trial management

Position: Marketing Research Executive (Job ID: 19417)

• WFH Arrangement
• Attractive company benefits
• Company travel opportunities (Asia Region/Europe Region)

Company: Manufacturing

Location: West (5-10 minutes walk from MRT station)

Job Description:

• Research & analysis of market/technology trends related to business development in the Asia region (agri-food tech etc.). (including participation in exhibitions and reporting to the head office in Japan)
• Hearing and research of trend of potential partners(government-affiliated organizations, universities and startups) , and business proposal.
• Research to create new business and values, analyze, devise issues, and propose business models.
• Relation building related to ecosystem(Management and planning event / SNS)
• Make reservations such as hotel and pick-up arrangements for Japanese people who come to Singapore for business trip. Support them when they need support.
• Other ad-hoc duties assigned.

Job Requirements:

• Able to prepare report materials using Excel, PowerPoint, and Word.
• Experience of market and consumer research and analyze is required .
• Proficiency in Japanese is needed to prepare materials and reports for the Japan HQ.
• Interest in areas such as open innovation, agri-food tech and healthcare.
• Skill of Innovation and business development.
• Experience of management and planning of SNS / branding / events.
• Knowledge about biotechnology, experience about Agri-food tech region.

Interested applicants please send your resume to Jing Ling with email subject header “Job Application for Marketing Research Executive (Japanese Speaking)(Job ID: 19417)”.

We regret that only shortlisted candidates will be notified. Other applications will be updated to our database for future job opportunities.

By submitting any resumes or applications to Pasona Singapore Pte Ltd, you are considered to have read and agreed on the terms of our Privacy Policy, and consented to us collecting, using, retaining, disclosing your personal information to the prospective employers for their consideration.

Effective from 1 October 2020 under the new Employment Agencies (EAs) Licence Conditions,

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Tan Jing Ling

EA Registration No: R24124404
Pasona Singapore Pte Ltd
1 FINLAYSON GREEN ＃09-02 SINGAPORE 049246
Direct: +65 6239-4223 | General: +65 6732-6933 | Fax: +65 6733-2761
Email: [email protected]

URL: www.pasona.com.sg

EA License No:90C4069

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 PIs Associate Professor Duane Loh and Assistant Professor Tan Yongzi on computational phase retrieval for cryo-electron microscopy of floppy, low-contrast RNA molecules.

The main responsibilities of the position include:

1. Develop realistic forward model to simulate noisy cryo-electron micrographs from RNA biomolecules.
2. Perform computational phase retrieval on 2D micrographs using physics-informed neural networks.
3. Infer structural variability of floppy biomolecules from computationally phase-retrieved micrographs.

Qualifications

Ph.D. in physics-related disciplines.

Experience:

• Fluent in high-performance scientific computing and imaging in python, and comfortable in the Unix environment.

Skills:

• Strong foundation in computational optics, deep learning, high performance computing, and structural biology in cryo-EM

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

Our research group focuses on research areas relevant to macromolecular and hybrid materials, including topics in the fields of polymer science and engineering, composite science, environmental science, and so on.

Key job purpose is to develop green and scalable mechanical or chemical polymer upcycling technologies, particularly for polyurethane.

Key Responsibilities:

• Develop green and scalable mechanical or chemical polymer upcycling technologies, particularly for polyurethane.
• Conduct research and development activities on polymer pre-treatment and mechanical/chemical upcycling, including formulation of problem statement, design and execution of lab-scale and pilot-scale experiments/operations, sample characterizations, data analysis, and so on.
• Engage industrial and academic collaborators to advance the developed technologies from lab-scale verification to pilot implementation.
• Prepare technical reports, intellectual properties documents, safety documents, and academic publications

Job Requirements:

• PhD degree in Materials Science, Polymer Science, Chemical Engineering, or fields related to polyurethane.
• At least 4 years graduate study or working experience in research and development on topics on polymer science, chemical engineering, and green technologies.
• Proficiency in hands-on and characterization techniques such as TGA, DSC, FTIR, DMA, rheology, NMR, CHNS, XRD, XPS, etc.
• Software skills relevant to process design, mass balance, cost analysis, and life-cycle-analysis are favorable
• Industrial experience in polymer upcycling and productization is favorable
• Good team-player, good communication skill, problem solver, thinker and doer, able to exhibit leadership when needed
• Good wet laboratory practice and familiar with considerations on laboratory safety
• Passionate in research and solving real-time environmental issues related to plastic upcycling
• Entry level candidates are welcome to apply

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

Project Overview

The AMR IRG is an interdisciplinary community of biologists, engineers, and clinicians from MIT and Singapore, sharing a state-of-the art research facility and united by a commitment to providing a supportive intellectual environment where students and staff can learn, grow, and contribute to solving a pressing societal problem.

The objective of this project is to advance the field of RNA analysis by developing and implementing innovative analytical tools. These tools will be used in a comprehensive study of all forms of RNA -- the ribonucleome -- and the >170 RNA modifications -- the epitranscriptome -- in disease pathobiology, host-pathogen interactions, biomarker development, and therapeutic target discovery.

Responsibilities

The Research Engineer will plan and conduct experiments with the aim of understanding RNA modifications' roles in human disease and leveraging RNA-modifying enzymes as potential drug discovery targets. The candidate will work primarily on cell culture, RNA isolation, and chromatography-coupled mass spectrometry analysis. As part of this work, the candidate will prepare results for publication, be a liasion with the AMR IRG community, work with external collaborators, and develop strong experimental and communication skills.

Requirements

B.S. or M.S. in biochemistry, molecular & cell biology, bioengineering, chemical engineering, or a related field.

Experience in cell culture, RNA extraction, high-performance liquid chromatography or mass spectrometry are prefered. Strong proficiency in oral and written communication in English. Ability to work well with others and as part of a team.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notifie

Key role in formulating market insights and forecasts for the Group

An opportunity to influence decisions globally

Based in Singapore

As part of the team, you will play a crucial role in forecasting and analyzing key supply and demand developments to forecast drybulk markets. You will generate market insights and outlooks by closely analyzing data related to drybulk freight supply and demand. You will collaborate with our global trading team to drive strategic decisions.

The role demands a keen ability to navigate and interpret complex market dynamics.

The primary challenge lies in accurately forecasting supply and demand amidst fluctuating market conditions, policy changes, and global economic shifts. This requires not only strong analytical skills and attention to detail but also the ability to synthesize vast amounts of data into actionable insights. Effective communication and collaboration with local and global teams are essential to ensure timely and strategic decision-making in a highly competitive market.

This role will mainly interact with traders, including operations team on key projects.

You will be working in a fast-paced environment with tight deadlines.

Main Responsibilities:

Data Management & Forecasting:

Maintain up-to-date and accurate supply and demand (SnD) data for drybulk freight, reflecting current market conditions. Compile and update all relevant data and forecast components to anticipate market trends.

Market Analysis:

Stay informed on market trends, policies, and currency fluctuations affecting drybulk freight supply and demand. Transform this information into actionable market insights and adjust SnD outlooks accordingly.

Global Coordination:

Monitor global drybulk freight and demand.

Coordinate with team members to ensure accurate adjustments for specific products.

Communication & Reporting:

Effectively communicate key changes in drybulk freight supply and demand to commercial teams.

Synthesize and present insights to help stakeholders understand market dynamics and swing factors.

Quantitative Modeling:

Collaborate to enhance drybulk freight data analytics and processes.

Contribute to the development of new models and approaches to improve internal knowledge.

Minimum Requirements:

Bachelor's Degree in Marine, Trade or related field of study

Minimum 6 years of relevant experience within a commodity/ marine-focused MNC.

Managing, maintaining, and redesigning complex Excel models.

A strong industry network, as well as maintaining and expanding such, is essential for the success of this position.

Automated data visualization reports in Power BI.

Exposure to the trading environment.

Excellent verbal and written communication skills (English) are essential.

Genuine interest in global economics and commodities markets

Ability to manage data and summarize large quantities of data into key/actionable insights

Ability to analyze trends, data, and numbers to draw meaningful conclusions and write comprehensive reports

Know how to communicate/explain complex ideas in a simple way

Experience working with commercial teams to design trading strategies is a plus

Ability to work with teams in different geographical locations

Highly organized and detail-oriented, with an attentive approach to analysis to ensure accurate assumptions and conclusions

Ability to understand business needs & potential issues and propose innovative ideas/solutions

Good time management skills and ability to manage multiple tasks and meet deadlines

Interpersonal skills, ability to forge relationships with colleagues and external contacts

Self-motivated & problem-solver individual

Technical Skills:

Proficiency in Excel

Experience with BI tools for analytics

Strong statistical and analytical skills, with a solid understanding of data management best practices

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 focuses on investigating the mechanism of pipeline leakage induced ground deformation under heavy rainfall and proposing intelligent control methods.

The scope also requires the selected Research Engineer to

• Investigate the mechanism of pipeline leakage induced ground responses under heavy rainfall.
• Propose intelligent control method for preventing sinkholes.

Job Requirements

• Possess at least a bachelor/master’s degree in relevant field,
• Demonstrate a research or professional background aligned with the development of the physical model.
• Exhibit proficiency in coupled multi-physics modelling.
• Display strong teamwork capabilities and effective communication skills.
• Open to fixed-term contract
• Please note that only shortlisted candidates will be contacted.

Relocating to Norway, this is full time role .

Our client is a start-up developing solutions to bring small-scale hydropower plants into the future, turning them into flexibility resources for the energy market.

By creating intelligent control systems to coordinate hydro power production and utilise supercapacitors, it enabling these resources to operate in the frequency market and help stabilise the power grid.

You’ll join a team backed by industrial investors and public investment funds.

working along with a dynamic work environment with high skilled scientists from all over the world.

You will involve in building pioneering technology for energy optimization and stabilization of the power grid through advanced software.

Combining physics-based and data-driven modeling with state-of-the-art control and machine learning methods to build cutting edge autonomous solutions.

You’ll dive into complex R&D tasks like:

Modeling the dynamics of hydro power systems and power grid to serve as digital twins for simulation, estimation and control

Developing learning algorithms that fit models to real-world data.

Using models to develop advanced autonomous control solutions.

Creating predictive solutions to optimise operation and detect problems.

Qualifications

You have an engineering degree (M.Sc./Ph.D.) within cybernetics engineering, dynamical systems, optimization, estimation, or control.

You’re fluent in mathematical modeling, coding, automation, control systems, and/or machine learning.

Your expertise lies in fields like parameter estimation, machine learning/AI, nonlinear systems, Kalman filters, Bayesian methods, and adaptive control design.

Knowledge of hydro power, power grid or power electronics technologies are an avantage, but not a requirement.

If you specialise in one or more of these areas, you’ll be a great fit!

Personal Traits We Value:

Someone who are structured and good at planning.

You can break down complex problems into concrete, manageable tasks.

You combine theoretical knowledge with practical problem-solving.

You love team collaboration but also enjoy diving deep into technical challenges.

Motivated by solving the unsolvable, and thrive in a fast-paced, results-oriented environment.

Responsibilities:

• You will be exposed to different social research domains and streams of research methodologies
• Manage client-focused research projects, conduct analysis, and present insights in a visual and impactful manner. At the same time, you will be involved in scripting, sampling, and data processing of research studies.
• Assist in developing new methods of data collection using various software and other data related tools assigned to you at intervals.
• Account Management: Manage client queries, expectations and relationships to ensure client satisfaction
• Design, plan, execute, and manage research projects suitable for client needs
• Scripting of survey questionnaires with logic implementation
• Processing of research data using software with syntaxes and codes
• Monitor quantitative fieldwork and adhering to project schedules / deadlines
• Quality check and audit survey implementation to ensure accuracy of results
• Perform coding of open-ended (free text response) answers where required
• Create highly actionable and digestible reports in PowerPoint
• Present results of study confidently to external clients
• Drive the exploration of new research methodologies and data collection software
• Any other tasks as may be assigned by Head of Department

Requirements

• Minimum Bachelor’s degree (in Psychology / Social Sciences / Mathematics / Statistics / Business / Engineering / numerical fields)
• Strong interest in market research and willing to learn
• Versatile individual with a keen interest to pick up complimentary research skillsets
• Able to work with ambiguity and perform under pressure
• Strong quantitative and data analytical skills required
• Strong communication skills, both written and interpersonal
• Competent in MS Office, with some experience in data collection and/or statistical software e.g. SPSS (must), R, STATA etc. will be plus

Interested candidates, do submit your resume in MSWord to [email protected] or contact 62251232

• 2 year contract + perm benefit

• Nearest MRT: Tampines East

• Previous experience in research is more advantageous.

Job Description

1. Support the conceptualisation and management of studies related to correctional research and evaluation.
2. Conduct literature reviews and write reports.
3. Collect and analyze research data.
4. Provide publication-related support.
5. Coordinate with internal and external parties to facilitate research studies or related requests.
6. Maintain online knowledge management initiatives and miscellaneous management of e-resources.
7. Any other duties as assigned.

Job Requirement

1. Singaporean only.
2. Min Degree (Preferably Degree in Psychology/Social Sciences/ relevant qualification).
3. Strong writing, interpersonal, and communication skills.
4. Proficiency in statistical software (SPSS).
5. Previous experience in research is more advantageous.

*Salary offered depends on experience and qualification.

Interested candidates please click “Apply Now”.

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

Nicky Yew Soo Ee

Fulfillment Team

BGC Group Pte Ltd

EA: 05C3053

Registration No: R22109448

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

We seek to appoint a postdoctoral Research Fellow (fixed term, 30 months) to work on uncertainty quantification in LLMs.

Key Responsibilities:

• Manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of the work to meet deadlines.
• Develop independent research questions, propose new methodologies to improve on existing methods and contribute ideas for collaborative research projects.
• Assist the PI in mentoring, supervising and coordinating the activities of junior researchers and students of the research project.
• Lead small teams of students, software engineers, research assistants and other junior researchers to formulate and address research questions within the purview of the project; and assist the PI in mentoring and supervising them.
• Act as a source of information and advice to other members of the research team.
• Publish and present papers at conferences or public meetings.
• Work with industry and government partners to understand their research needs and formulate solutions.
• Contribute to outreach, communications and reporting as required to funders and stakeholders. Represent the research group at external meetings/seminars, either with other members of the group or alone.
• Help organise and actively participate in regular meetings and seminars within the group.
• Assist in raising research funds through grant applications.
• Carry out some related teaching and other works for the College that takes into account their career aspirations and development goals.

Job Requirements:

Essential Criteria

• Close to completion or hold a relevant Ph.D. with post-qualification research experience in statistical machine learning, and deep learning or large language models.
• Strong publication record and familiarity with the existing literature and research in the field of statistical machine learning, and deep learning or large language models.
• Possess sufficient specialist knowledge, research skills and interests in statistical machine learning, and deep learning or large language models to work within established research programmes and contribute ideas and solutions.
• Ability to independently plan and manage a research project, including a research budget.
• Possess strong collaboration abilities in person, on paper and over electronic channels.
• Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

Desirable Criteria

• Possess strong technical knowledge and abilities of deep learning and large language modelling frameworks (pytorch, jax, huggingface) as well as popular open-source codebases and LLM APIs.
• Experience of supervising staff.
• Experience of managing a research budget.
• Ability to raise research funds through making grant applications.

We regret that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

We seek to appoint a Research Engineer II (fixed term, 30 months) to work on uncertainty quantification in LLMs.

Key Responsibilities:

• Work with project team in setting up and maintaining the project’s compute infrastructure, ensuring that these meet the needs of the project.
• Maintaining the project’s internal communication infrastructure to ensure that researchers across all three universities are able to work effectively together.
• Collaborate with the project team on research pertinent to the project, by
  Contributing to and developing ideas for novel methodologies and understanding of the research questions,
  Acting as a source of information and advice to other members of the research team, especially on computational matters
  Enabling large scale research implementations and managing research experiments,
  Contributing to the writing of research papers and submissions to high profile venues,
  Leading on efforts at open sourcing research code, and
  Presenting outcomes at international conferences and workshops.

The postholder will carry out any other duties that are within the scope, spirit and purpose of the job, as requested by their Reporting Officer.

Job Requirements:

Essential criteria

• Close to completion or holds a MSc or above in a relevant technical subject (e.g. computer science, statistics, engineering).
• Possess strong publication track record in machine learning or related fields.
• Possess sufficient specialist knowledge, research skills and interests in deep learning and large language models to work within established research programmes and contribute ideas and solutions.
• Possess strong technical knowledge and abilities of deep learning and large language modelling frameworks (pytorch, jax, huggingface) as well as popular open source codebases and LLM APIs.
• Possess strong motivation and interests in developing computational infrastructure (including both software and cloud solutions) to enable large scale implementations and experimentations in large language models.
• Possess strong collaboration abilities in person, on paper and over electronic channels.
• Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

We regret that only shortlisted candidates will be notified.

Research Officer positions are available soon in the Computational Digital Pathology Lab (CDPL) at the Bioinformatics Institute (BII), Agency for Science, Technology and Research (A*STAR), Singapore. The AI-based Digital Pathology (AIDP) Program aims to develop and validate advanced AI solutions, image processing, computer vision, and mathematical modelling for the pathological diagnosis and prognosis of cancer using digitized pathology slides, including both biopsy and whole standard slides.

The innovative AI-based Digital Pathology Diagnosis (AIDP) programme is a pioneering venture set to transform the landscape of AI pathological diagnosis and solve the global shortage of pathologists and increasing cancer cases with cutting-edge AI technologies. Our focus is on bridging gaps in data quality, model generalizability and market scalability. This groundbreaking initiative aims to advance pathology practices by developing artificial intelligence systems that accurately diagnoses cancer and other diseases from digital pathology images. By leveraging state-of-the-art AI technology and advanced methodologies, we strive to achieve breakthroughs that will revolutionize the way pathologists diagnose diseases, such as Lymphoma, Gastric, Colorectal and Breast cancers, ultimately improving patient outcomes and healthcare efficiency. This program is supported by national funding and led by esteemed institutions/hospitals and cross-disciplinary leaders in the field, providing an unparalleled opportunity for professional growth and collaboration with top-tier experts.

We are seeking passionate, talented individuals to join our dynamic team. If you are driven by curiosity and have a desire to be at the forefront of AI medical innovation, this is the perfect opportunity for you. As a member of our team, you will work in a stimulating environment where creativity and initiative are highly valued. You will have access to state-of-the-art facilities, high-quality data and other resources, and the chance to contribute to high-impact research that can shape the future pathology. Our focus is on creating robust, reliable AI systems that can assist pathologists in making faster and more accurate diagnoses, ultimately leading to better patient care and improving the life quality of humankinds. We are looking for candidates who are not only skilled but also enthusiastic about making a difference. Join us in this exciting journey and be a part of something truly extraordinary! For a research overview of our lab, please refer to https://www.a-star.edu.sg/bii/research/ciid/cdpl

Specific Technical Requirements:

• Proficiency in one or more programming languages: Matlab, C/C++, Java, or Python, etc.
• Extensive knowledge, experience, and expertise in artificial intelligence, machine learning, pattern recognition, and digital image processing techniques.
• Practical coding skills in implementing numerical computational algorithms.
• Strong analytical and logical thinking skills to address and solve complex scientific problems.
• Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Basic knowledge of cell biology or pathology is an added advantage.
• Ability to learn quickly and integrate knowledge across multiple disciplines.
• Experience or willingness to engage in collaborations with hospitals and clinical settings.
• Capability to present research findings effectively at both internal and external seminars and conferences.
• Strong writing skills for both technical reports and scientific papers.

General Requirements:

• Highly motivated researcher with an bachelor or master degree, eager to pursue a scientific career, particularly with a passion for artificial intelligence, machine vision, computer vision and biological image processing projects.
• Independent thinker with a strong passion for advancing the field of AI and biological image processing in clinical diagnosis.
• Excellent team player capable of conducting independent research under the guidance of the Principal Investigator (PI) and collaborating effectively with lab members.
• Solid general knowledge and understanding of scientific and engineering principles.
• Exceptional scientific and technical writing skills, coupled with outstanding communication abilities.
• Previous experience in medical image analysis projects, whether in an industrial or academic setting, is a plus but not mandatory.

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.