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

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

We regret that only shortlisted candidates will be notified.

About Us

Founded in the same year that Singapore gained independence, NUS Business School stands today among the world’s leading business schools. It is distinctive for offering the best of global business knowledge with deep Asian insights, preparing students to lead Asian businesses to international success and to help global businesses succeed in Asia.

For more than 50 years, NUS Business School has offered a rigorous, relevant and rewarding business education to outstanding students from across the world. That would not have been possible without a group of dedicated professionals who are passionate about building a positive environment to grow and groom future business leaders. And we are looking to add to our BIZ family!

To learn more about the NUS Business School, please visit https://bschool.nus.edu.sg/

Job Description

The new Centre for Investor Protection aims to undertake independent research, public education and related activities to promote the improvement of investor protection in Singapore and beyond. Projects conducted by the centre should have significant implications for policy and practices relating to investor protection. The key types of research and activities to be conducted are:

(a) Practice and academic research
(b) Case studies
(c) Public education seminars and workshops
(d) Other activities directly related to the centre’s purpose

The Research Manager will report to the centre Director and is responsible for overseeing and managing all aspects of the centre’s projects. This includes working with the centre Director and project leaders in designing and implementing research methodologies, analyzing data, providing actionable insights to key stakeholders; and overseeing and managing the writing and editing of case studies. The Research Manager will also be responsible for managing a team of researchers and student assistants and ensuring the successful execution of projects within established timelines and budgets.

The Research Manager is also expected to provide administrative and operational support for the centre, co-ordination of events, and collaborations with both internal and external parties.

Responsibilities (including but not limited to)

• Working with the centre Director and Project Leaders to develop and implement research strategies and methodologies, including designing research studies, such as developing survey questionnaires, interview protocols, and data collection methods.
• Manage the research process, including data collection, analysis, and reporting.
• Oversee and manage the publication of an annual collection of case studies.
• Ensure that centre projects are conducted within established timelines and budgets.
• Lead a team of researchers and student assistants, providing guidance and support throughout the projects.
• Monitor industry trends and current issues to inform research strategies.
• Prepare and assist with presentation of research findings to key stakeholders.
• Develop and maintain strong relationships with external research partners and vendors.
• Stay updated with the latest research tools, methodologies, and technologies, and recommend their adoption as appropriate.
• Document all research related activities, budgets and outputs.
• Assist in the planning, coordination and administration of the centre’s events and visitors.
• Work with auditors to ensure the proper documentation of financial accounts of the centre.
• Manage procedural matters regarding hiring of student assistants, contingent hires, facilitation of quotations and tracking of purchase and invoices.
• Any other ad-hoc duties as assigned by the centre Director.

Requirements/Competencies

• Possess high level of integrity.
• Strong analytical and problem-solving skills, with the ability to analyse complex data sets and generate meaningful insights.
• Excellent project management skills, including the ability to manage multiple projects simultaneously and meet deadlines.
• Excellent writing, communication and presentation skills, with the ability to effectively communicate research findings particularly to investors, practitioners and policy makers.
• Strong attention to detail and a commitment to producing high-quality output.
• Excellent organization and time-management skills.
• Strong sense of initiative, commitment and self-driven.
• Ability to work effectively across departments within the University.

Qualifications

• Bachelor’s degree in a related field (such as accounting, business or social sciences).
• At least 3 years of experience, preferably undertaking research projects that are practice or policy-related in topics relevant to investor protection or corporate governance.
• Strong passion in the area of corporate governance or investor protection; experience in these areas will be a plus.
• Proven experience in research management, including designing and conducting research studies, data analysis, and reporting.
• Proficient in using research tools and software for collecting and analysing large data obtained from public information, such as company announcements and annual reports.

(Appointment job grade will commensurate with the selected candidate's experience)

The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer the development and discovery of new and more effective methods for the treatment, prevention and control of new and emerging pathogens. The key outcome of the research will be the early identification of new pathogens, out of which new diagnostic tests, treatments and control strategies will be developed.

This position is for a full-time Senior Research Fellow position. The Laboratory of Virus Evolution (LoVE) studies rapidly evolving respiratory RNA viruses including influenza, parainfluenza and coronaviruses. Our research helps to understand the molecular drivers of virus evolution and population dynamics, and their influence on virulence and pathogenicity.

The candidate is expected to play a critical role in generating and fostering a cutting-edge, interdisciplinary research environment. The candidate should possess a strong background in molecular virology and/or immunology, and will utilize metagenomics sequencing and virologic techniques to understand the evolutionary dynamics of different RNA viruses. The candidate will be involved in developing antiviral antibody therapies in the prevention and treatment of virus disease.

The candidate is expected to perform a variety of research under the Principal Investigator’s supervision or his/her designate. The main duties and responsibilities will include but are not limited to the following: -

• Conduct and design experiments for rapid molecular diagnosis and efficient genomic sequencing
• Perform bioinformatics and phylogenetic analyses
• Develop and test novel antiviral preventive or therapeutics against virus infections.
• Conduct in vitro and in vivo experiments to study virulence and pathogenesis.
• Interface and network with clinical counterparts and team members to achieve the goals of the project.
• Write 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.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Virology, Molecular Biology, Immunology or other related disciplines.
• Have a strong background in molecular virology, particularly on RNA viruses.
• Possess strong laboratory skills and experience in animal research.
• Prior experience with antibody techniques is preferred.
• Possess excellent analytical, organisational, and communication skills.
• Self-motived, able to work effectively and efficiently, willing to work hard to meet tight deadlines and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

The Compound Manager is responsible for the efficient handling and organization of chemical compounds within EDDC. This includes collaborating with cross-functional teams, maintaining an organized and well-documented compound inventory, and adhering to safety and regulatory guidelines. The Compound Manager also manages time and automation resources, serves as the primary point of contact for compound management, and develops and executes detailed scripts for all wet plating processes.

Job Description:

Responsibilities include but are not limited to:

• Manage the DMSO stock compound collection and all incoming sample plating requests.
• Support all screening projects in EDDC including storage and distribution.
• Manage time and automation resources supporting all wet compound plating activities.
• Serve as the primary point of contact for compound management.
• Timely Documentation of all compound handling tasks.
• Develop liquid handler methods, troubleshoot, and perform basic maintenance.
• Conduct process mappings, gap analysis, and develop executable plans of action.
• Engage with screeners to design, develop, and implement custom fully automated processes to increase throughput and walk-away time.
• Write and execute detailed scripts for all wet plating processes.
• Conduct bi-weekly QC of all liquid handling instruments and compound stores.
• Conduct annual QC of department compound collections.
• Report monthly metrics to the team.
• Create and verify the accuracy of all inventory files and plate maps available to the screening community.

Job Requirements:

• Bachelor’s or Masters Degree in biological sciences, chemistry or related field
• At least 5 years academic or industrial experience in biology or chemistry laboratories as a technician or research officer.
• Experience with inventory management of samples or compounds, database software.
• Strong organisational and communication skills, demonstrated ability in establishing and managing research partnerships.
• Ability to work independently and as part of a team in a fast-paced, dynamic environment
• Willingness to learn new techniques and adapt to changing priorities
• Experience in lab automation and liquid handling platforms preferred.
• Knowledge and experience of the process of performing high throughput screening assays using microplates preferred.

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 National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Computer Vision
• Algorithms
• Circuits and Systems
• Programming Languages & Software Engineering

Qualifications

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research.

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 postdoctoral fellow will work closely with Asst. Prof. Patrick Rebentrost in the intersection of quantum algorithms and optimization, machine learning and/or finance. Sample topics include quantum algorithms for problems in supervised and unsupervised machine learning, algorithmic learning theory, and online learning, and quantum algorithms for financial problems such as portfolio optimization, pricing of financial derivatives, and hedging. The job will include the development of quantum algorithms in these areas, with provable quantum advantages and provable guarantees, when possible, in fault-tolerant models of quantum computation. The job will also include the development of algorithms that are easier to execute on available hardware such as variational and post-variational methods and quantum approximate optimization. Furthermore, the aim is to provide hardware implementations on available devices, comparisons between available hardware providers, and classical simulations of the quantum algorithms. For this purpose, the successful applicant will be granted significant independence concerning their research and receive generous travel funding. They will be expected to contribute to the group, for example by co-supervising student projects and assisting with outreach activities.

Qualifications

• Track-record working on quantum algorithms and/or quantum information. Candidates with expertise in other aspects of quantum computing such as quantum machine learning, near-term quantum algorithms, quantum approximate optimization are encouraged to apply.

• PhD in electrical engineering, computer science, physics or applied mathematics.

• Well-rounded research profile and ability to communicate research.

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.

Job Description

Our PLSE research group in National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). We are looking for a highly skilled and motivated research assistant to join our team and help in ongoing projects related to large language modelling. This role involves conducting advanced research and development in the field of AI and SE, with a focus on improving the robustness and effectiveness of large-scale models. The candidate will play a key role in devising innovative algorithms, conducting experiments, and contributing to the advancement of our technology and products.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience in the following research areas:

• Artificial Intelligence and Machine Learning
• Programming Languages & Software Engineering

Key Responsibilities
• Assist in research projects assigned.
• Design and implement algorithms to enhance the efficiency and robustness of AI systems.
• Publish research findings in top-tier conferences and journals.
• Collaborate with cross-functional teams to integrate AI solutions into products.

Only shortlisted candidates will be notified.

Requirements

• A Bachelor’s or higher degree with Honours in Computer Science or a relevant area (e.g., Math, Analytics).
• Proven experience in research of large language models and deep learning algorithms.
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch or TensorFlow.
• Ability to conduct independent research and solve problems.
• Experience in research paper writing.
• Good communication and collaboration skills.
• Experience with adversarial training and algorithm optimization is a plus.

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 Electrical and Computer Engineering (ECE) Department of National University of Singapore (NUS) is in search of candidate for a research engineer position to assist in Prototype Development. The candidate will work closely with our researchers, students, and professors to understand and derive insights from scientific experiments and data. The successful candidate will be assisting in the research of microelectronic devices and circuit designs for reliable hybrid component integration from a thermomechanical aspect to enable broad class of applications for dual-use relating to IoT microelectronics and Flexible Hybrid Electronics (FHE).

Responsibilities will involve:

1. Develop and design thermomechanical experiments, prototypes, and proof-of-concept models to test hypotheses.
2. Identify engineering challenges and work on solving complex technical problems.
3. Gather and analyze data from experiments and simulations.
4. Create prototypes of new products or systems
5. Maintain accurate and detailed records of research activities, methodologies, and results.
6. Collaborate with other engineers, scientists, and researchers to achieve project goals.
7. Assist in equipment purchase, commissioning, and ownership.

(Interested applicants should send their curriculum vitae via email to [email protected]).

Qualifications

• A master’s or higher degree in Electrical, Electronics, Mechanical, Chemical Engineering, Physics, Material Science or its equivalent from a reputable University/Institute is preferred, or equivalent related experience.
• At least 2 years’ relevant work experience, and good knowledge, skills and expertise in relevant field.
• Candidate with experience in microelectronic research, characterisation, metrology and electrical testing, and strong in data analysis will have an advantage.
• Knowledge of thermal and thermomechanical modelling and analysis.
• Strong analytical and problem-solving skills.
• Motivated and possesses effective communication skills including writing and presenting.
• Ability to work independently and collaborate within a diverse team.
• Open to Fixed Term Contract.

Job Description

Perform a variety of research activities which include planning, organizing, and conducting research studies under the supervision of the Principal Investigator (http://www.digitalmedicinelab.org/):

• Apply statistics and machine learning techniques to analyse various types of clinical data such as large-scale electronic health records, biosignal data, and/or medical images.
• Conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact in medical informatics and health data science.
• Write high-quality technical/methodological research papers, present research outcomes and develop connections with local and international researchers for collaboration work.
• Perform other academic duties as required by the Principal Investigator.

Job Requirements

• Bachelor or master’s degree in computing / biostatistics / epidemiology / engineering with good mathematical knowledge and some research experience in machine learning and statistics.
• Good programming skills in R or Python.
• Having interests in applying statistics and machine learning to solve real-world medical problems.
• Willing to conduct independent research as well as support team research activities.
• Strong team player skills and the ability to work harmoniously with 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 Global Asia Institute at the National University of Singapore invites applications for a postdoctoral research fellow position. The Institute is seeking scholars with strong skills in applied empirical methods and econometrics, with research interests in behavioral economics and/or health economics. Candidates should have an outstanding record in accredited PhD program in economics or related fields.

The Institute is well supported by a team of research assistants. Successful candidates will collaborate with a team of passionate researchers to work on projects which have immediate policy and commercial implications.

There will be no teaching obligation for the first contract. Salaries are globally competitive and commensurate with the candidate's qualifications, track record, potential, and experience. Shortlisted candidates will be notified of an online interview

Qualifications

An outstanding record in accredited PhD program in economics or related fields

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

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

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The candidate will participate to the development and design of a quantum processor using neutral atoms array. In particular, participate to the design of the vacuum system, characterisation of the laser system, implementation of the optical systems, and interfacing of the experimental setup.

Job Requirements

• A Bachelor degree in Physics;
• A successful experience in atomic physics or related fields

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 Barbaros Ozeyilmaz on energy storage and conversion under a project on Towards Commercializing Monolithic Graphene Nanofoam Supercapacitors for Space Applications: Hybrid Power Applications and Ta Capacitor Replacement.

The main responsibilities of the position include:

• Building upon our ground breaking work in 2D amorphous carbon (Synthesis and properties of free-standing monolayer amorphous carbon (MAC), Nature 577, 199 (2020)), we embark on a bold exploration into the uncharted territory of precisely engineered 3D version of MAC structures. This novel technology, a testament to our team's innovative spirit, holds immense promise for revolutionizing materials science and unlocking a plethora of real-world applications.

• The successful candidates will be conducting their high impact research in -

1. Nanoscale engineering of 3D graphene foam and its supercapacitor application under extreme working conditions which battery cannot cover. New applications in extreme environments such as short run memory and pressure gauges in downhole environment, implantable medical devices, cold temperature aerospace applications and IoT devices etc.

This project is in collaboration with National institute and industries (e.g. ST Engineering and DSO, etc).

2. Hybrid nano-composite 3D foam synthesis for high Energy Battery.

• New battery development with high energy and power densities for automotive, satellite, train & microgrid applications. Targeting new energy conversion/storage application.

Qualifications/Requirements/Other Info

• Qualifications / Discipline: Candidates must hold an internationally-recognized PhD degree (or equivalent) preferably in electrochemistry, material science, Nanoscience, or equivalent. The candidate should have a proven track record of excellence in experimental research.

• Skills: Candidates with experience in energy storage applications (supercapacitors/batteries), characterization and material synthesis are highly encouraged to apply.

• Experience:

>2 years as research fellow level, plus

>3 years research experience Energy storage projects

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr. Boxiang Liu on leveraging functional genomics approaches to understand the molecular mechanisms of complex diseases.

The main responsibilities of the position include:
- High-throughput CRISPR/Cas9 screening.
- Bulk and single-cell RNA-seq analysis.
- ATACseq data analysis and TF motif identification.
- Molecular genetics experiments to identify phenotypic effect of mutant cell lines.
- Small animal (e.g. mouse) work to validate cell line findings.

Qualifications

• Qualifications / Discipline: PhD degree in a relevant discipline (including biology, immunology, genetics, genomics, medicine, etc)

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 bioinformatician/molecular microbiologist is sought to join a team working on metagenome-resolved biogeography and functional ecology of photosynthetic microbial communities under extreme environmental stress.

The main responsibilities of the position include:
1. Analysis of metagenomic sequence data with various packages using the R statistical environment.
2. General molecular microbiology laboratory work including DNA/RNA extraction, library preparation, and sequence analysis.

The position is available for an initial period of 21 months, with renewal subject to performance and funding availability.

Qualifications

• Qualifications / Discipline:
BSc (hons) required, and preferably a MSc

• Skills:
Competence in using R software for bioinformatic analysis of metagenomes is essential, e.g. MEGAN6. Some laboratory experience in molecular microbiology is also preferred but not essential.

• Experience:
At least one year of experience using computational bioinformatic tools in a research environment is required.

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 A/P Dr Sergio Hernandez Marin in the Data Analytics Consulting Center on both internal-facing (NUS) and external facing (startups, SMEs, MNC) Data Science and Data Architecture roles.

The main responsibilities of the position include:

1. Data Analysis and Modeling:
- Utilize advanced statistical and machine learning techniques to analyze complex datasets.
- Develop predictive models and algorithms to extract meaningful insights and patterns.

2. Data Architecture and Management:
- Design and implement robust data architectures to support the project's data needs.
- Work on data integration, ensuring seamless flow and accessibility of data across different components of the project.

3. Collaboration with Interdisciplinary Teams:
- Engage with a diverse team of stakeholders, to integrate data science solutions into the broader project framework.
- Communicate findings effectively to non-technical stakeholders.

4. Teaching Short Courses on Data Science:
- Design and deliver short courses on data science topics to internal team members or external stakeholders.
- Provide training sessions on the application of data science methodologies and tools.

5. Experimental Design and Hypothesis Testing:
- Contribute to the formulation of research hypotheses and experimental design.
- Implement and conduct experiments, ensuring the rigor and reproducibility of the research process.

6. Software Development and Implementation:
- Develop custom tools and software solutions to facilitate data analysis and visualization.
- Ensure the scalability and efficiency of software components in handling large datasets.

7. Documentation and Reporting:
- Maintain comprehensive documentation of methodologies, data sources, and analysis processes.
- Prepare regular progress reports and contribute to academic publications.

8. Stay Current with Emerging Technologies:
- Keep abreast of the latest advancements in data science, machine learning, and relevant technologies.
- Integrate innovative approaches and tools to enhance the project's methodologies.

Qualifications

• Qualifications / Discipline:
Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field, with a specialization in Data Engineering and Data Architecture.

• Skills:
1. Data Science and Statistics Proficiency:
- Demonstrated expertise in data science methodologies and statistical analysis.

2. Programming Skills:
- Proficiency in programming languages such as Python, SQL, and Javascript.

3. Data Engineering and Data Architecture:
- Strong background and practical experience in Data Engineering and Data Architecture, encompassing the design and implementation of robust data structures.

4. Data Visualization:
- Proven experience using data visualization tools to present complex data in a comprehensible manner.

5. Database Management Systems:
- Hands-on experience with various database management systems, ensuring efficient data storage and retrieval.

6. Cloud Platforms:
- Familiarity with cloud platforms and the ability to leverage cloud-based solutions for data analysis and storage.

7. Communication and Collaboration:
- Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders.
- Proven ability to collaborate effectively within a diverse team.

• Experience:
At least 3-5 years of experience in Data Science / Data Engineering

• Position: Medical Writer (Biomedical/Clinical Trial/Research)
• Location: Near Bras Basah MRT station/Bencoolen MRt
• Working Hours: Monday - Friday| 9.00am to 6.00pm
• Salary (commensurate with experience): Up to $4500 + Performance Bonus + Travel Allowance + 14 Days Annual Leave + Medical Benefits and Annual Check-up + Online Learning Portal for self-development + WFH Opportunities
• Duration: 1 Year Contract (RENEWABLE/CONVERTIBLE TO PERMANENT)
• Industry: Digital Media Marketing
• Career Advancement: YES

Responsibilities:

• Scientific bridge between clinical development and commercial
• Functions in pharmaceutical and device. It requires the ability to work closely with medical
• Regulatory representatives, HCPs and KOLs to deliver high quality writing that is scientifically
• Rigorous, patient focused, and in line with the strategic positioning of the pharmaceutical or medical devices products.

Requirements:

• Candidate should preferably possess a first-degree degree in biomedical science; a
• research-based degree (MSc or Ph.D.)
• At least 3-5 years of experience in Medical Communication Agency
• The ability to adapt complex scientific information into concise content will be
• essential.
• Excellent delivery in providing summary for AD Board Meetings and Scientific Conferences.

Email to [email protected]

Do visit Search Personnel Pte Ltd for more job listings.

***We DO NOT charge our candidates any referral fee nor bind them with any contract.***

Joie Chang

Associate Consulting Director (APAC)

Reg no.: R2090601 | EA No: 13C6684

• Position: Medical/Clinical Trial/Research Writer (Pharmaceutical/Medical Device)
• Location: Near Bras Basah MRT /Bencoolen MRT
• Working Hours: Monday to Friday| 9.00am to 6.00pm
• Salary (commensurate with experience): Up to $6,500 + Performance Bonus + Travel Allowance + 14 Days Annual Leave + Medical Benefits and Annual Check-up + Online Learning Portal for self-development + WFH Opportunities
• Duration: 1 Year Contract (RENEWABLE/CONVERTIBLE TO PERMANEMT)
• Industry: Digital Media Marketing Agency
• Career Advancement: Career growth plan

Responsibilities:

• Scientific liaison between clinical development and commercial operations in the pharmaceutical and device industries. It necessitates the capacity to
• Collaborate closely with medical regulatory authorities, healthcare professionals (HCPs), and
• Key Opinion Leaders (KOLs) to produce well-crafted content that is scientifically robust,
• Patient-centric, and aligns with the strategic positioning of pharmaceutical or medical device products.
• Remain up to date with recent trends and curate medical topics for scientific meetings, thereby fostering opportunities to enhance patient outcomes.

Requirements:

• Candidate should preferably possess a first-degree degree in biomedical science; a
• research-based degree (MSc or Ph.D.)
• At least 3-5 years of experience in Medical Communication Agency or equivalent
• Experience in managing topics and programme for AD Board Meetings and Scientific Conferences.

Email to [email protected]

Do visit www.facebook.com/search.personnel for more job listings.

***We DO NOT charge our candidates any referral fee nor bind them with any contract.***

Joie Chang

Associate Consulting Director (APAC)

Reg no.: R2090601 | EA No: 13C6684

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr. Boxiang Liu on performing snRNA-seq experiment and leveraging functional genomics approaches to understand the molecular mechanisms of type 2 diabetes.

The main responsibilities of the position include:
- Nuclei isolation of adipose tissue.
- Basic snRNA analysis of output data.
- Molecular genetics experiments to identify phenotypic effect of mutant cell lines.
- Small animal (e.g. mouse) work to validate cell line findings.

Qualifications

• Qualifications / Discipline: Bachelor or Master degree in a relevant discipline (including biology, immunology, genetics, genomics, medicine, etc)

• Skills: Cell/molecular experiment, transcriptomics, genomics, mouse work.

• Experience: Cell/molecular experiment, transcriptomics, genomics, mouse work.

Job description
The candidate will be part of a team solving computational bioengineering problems. The responsibilities include but are not limited to:

• Research, develop and evaluate algorithms and implementations
• Work with team members to develop disease transmission models
• Brainstorming technical solutions

Job requirements

• Master or Bachelor degree in chemical engineering and bioengineering related fields
• Strong programming skills in Python (preferred) or R
• Knowledge and demonstrable experience in academic research
• Smart and hardworking individual who can work under pressure within a tight deadline
• A good team player with can-do attitude
• Solid communication skills and problem-solving skills

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.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

This role is funded by a Pharma Innovation Programme Singapore (PIPS) research grant. The primary responsibility of the role is to deliver a novel software solution, which supposedly will run on discrete-event simulation (DES) and deep reinforcement learning (DRL) optimization algorithms, to help pharmaceutical companies enhance the agility of their multi-product manufacturing process in an uncertain environment. To this end, by working closely with subject matter experts from the PIPS member companies (i.e., GSK, MSD, Pfizer, and Syngenta), you will:

• design and execute survey / interviews with subject matter experts to understand the agreed aspects of agility and use them as the basis for this project
• develop the DES model libraries on the AnyLogic platform to simulate different kinds of activities involved in the full pharmaceutical supply chain
• develop the DES plant model optimizer using explainable DRL algorithms with user-defined objective functions
• demonstrate the utility against company-supported use cases
• prepare a user manual to help the companies quickly grasp the knowledge to use or modify the novel utility

Key Responsibilities:

1. Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
2. Undertake these responsibilities in the project:visit PIPS member companies’ production sites in Singapore for data collection and model building
   train and validate the DES models using historical plant data or synthetic data
   develop the DES model optimizer by implementing appropriate DRL algorithms and user-defined objective functions (e.g., CAPEX/OPEX, sustainability metrics, etc.), with explainability on the suggested decisions from the algorithms
   present research findings in meetings with PIPS member companies; prepare peer-reviewed publications on the findings
   guide junior researchers and undergraduate students on their research activities
   engage and communicate with vendors/suppliers for purchasing software, and visit vendors’ facilities for both software evaluation and training purpose.
   
3. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.

Job Requirements:

1. PhD in Chemical Engineering, Computer Science / Engineering or related fields. Master’s degree candidates with significant computational research experience may also be considered.
2. Previous experience with DES / Deep learning using neural networks / DRL / Explainable machine learning / AnyLogicâ would be advantageous.
3. Interest and enthusiasm for academic research to be applied in the pharmaceutical industry.
4. Good interpersonal, communication and technical writing skills. Good problem-solving skills.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Research Fellow (Postdoc) will conduct research in the field of coastal engineering, in terms of wave dynamics and sediment transport. Coupling of different types of wave signals such as ship wakes, wind waves will be considered. The study of sediment transport will take the input from the wave dynamic simulations. Numerical simulations and experiments will be conducted.

Job Requirements

• Candidates with background in coastal and ocean engineering, especially with experience and knowledge in experiments and numerical modelling, hydrodynamics, wave theories, and sediment transport are encouraged to apply.
• Possess a PhD degree with relevant research experience.
• Strong writing skills.
• Good time management and data analytic skills.
• Excellent interpersonal and communication skills.
• Strong quantitative analysis.
• Having prior good publication record is advantageous.
• Open to fixed-term contract.

We are seeking a highly motivated and enthusiastic Research Officer (wet or dry) to join our team and work on Spatial and Single-Cell Genomics projects. The successful candidate will have a strong background in molecular biology, genomics, or a related field, and will be working closely with the research team for designing, executing and analyzing experiments related to drug response and drug delivery based on spatial transcriptomics and single-cell genomics.

Key Responsibilities:

Wet-capabilities

• Design, troubleshoot and execute experiments to investigate gene expression in single-cell and/or spatially resolved tissue samples
• Co-develop and optimize experimental protocols for single-cell genomics and spatial transcriptomics

Dry-capabilities

• Process and analyze large genomic data from transcriptomic and genomic assays including single-cell RNAseq, spatial transcriptomics, and other sequencing technologies (e.g. long reads)
• Co-develop algorithms and pipelines for single-cell genomics and spatial transcriptomics

General capabilities

• Maintain detailed experimental records and contribute to scientific discussions and reports (internally)
• Work collaboratively with other members of the team to develop and implement research strategies

Qualifications:

• A Bachelor's or Master's degree in molecular biology, biochemistry, computer sciences, bioinformatics, or a related field
• For wet candidates: strong experience with molecular biology techniques, including (clinical) sample handling, PCR optimization, tissue culture, RNA isolation, and sequencing library preparation. Experience with microscopy, image analysis, and statistical analysis would be advantageous
• For dry candidates: Deep experience in single-cell genomics and/or spatial transcriptomics. Proficient in data analysis tools such as R, Python, familiar with analytical tools and algorithms. Comfortable with large data handling and processing.
• Ability to work independently and collaboratively with other team members
• Excellent organizational and communication skills

This is an exciting opportunity to join a dynamic and growing research team, with excellent prospects for career development. If you are a highly motivated and enthusiastic individual with a passion for molecular biology and genomics, we encourage you to apply.

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.

An exciting opportunity has risen for a highly motivated Senior Research Fellow to join the Singapore Institute for Clinical Sciences (SICS) to work with a collaborative and multidisciplinary team for the project “Completing the Picture: Strengthening Fathers" Roles in Early Child Health and Neurodevelopment Through Targeted Interventions”. The SRF will be responsible for leading data-intensive quantitative research on the interactions between familial environmental, focusing strongly on comparing paternal factors with maternal and other household member factors, and the broader environment (e.g. built and natural environment) on child health, well-being, and development. The SRF will utilize skills in big data management, especially harmonizing and linking geospatiotemporal data with longitudinal cohort data, as well as quantitative causal inference and quasi-experimental techniques, to produce new scientific knowledge, write manuscripts, create presentations and reports, and brief collaborators and other stakeholders (academic, government, community, industry, etc.) as needed.

Job Responsibilities:

The successful candidate will be expected to engage in the following:

• Big data (geospatialtemoporal, multi-modal longitudinal cohort) management, processing, and analysis from a variety of sources (academic, government)
• Conduct quantitative causal inference analyses, e.g. quasi-experimental, instrumental variable, fixed-effects, difference-in-difference, etc.
• Where appropriate, conduct or advise on economic considerations in research, practice, or policy (e.g. program evaluation, cost-benefit analyses)
• Proactively seek out obtain, or develop new data sources that will support or expand the research
• Prepare reports and presentations for internal and external stakeholders
• Leading communications with internal and external project stakeholders, including coordinating and conducting briefings
• Write manuscripts for publication in high-impact journals
• Work closely with the PI and research team while showing a high degree of autonomy and proactiveness

Job Requirements

• Qualification & Field of Study: PhD in relevant quantitatively-focused discipline (e.g., Biostatistics, Economics with focus on Econometrics and causal inference methods).
• Min. Years of Experience: 3 years
• Other Requirements (e.g. Skills, Competencies):
  • Experience and expertise in joining geospatialtemoporal data to longitudinal cohort data and harmonizing data across cohorts for the purposes of data analysis
  • Experience and expertise obtaining, constructing, or developing measures and indicators of built and natural environment, human behavior (movement/migration), and other areal characteristics
  • Strong quantitative skills, particularly in causal inference
  • Strong knowledge of statistical programming in Python and/or R
  • Strong skills in data management and workflow documentation and commitment to open and reproduceable research
  • Evidence of peer-reviewed publications and conference papers in line with career stage
  • Well-organized with strong attention to detail
  • A team player with an ability to work independently
  • Self-motivated in striving for the most rigorous science

Contact

For more information about the position, potential applicants are encouraged to contact Dr. Keri McCrickerd ([email protected]) directly with any questions.

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 Fellow (Postdoctoral) position is available immediately in the laboratory of Assistant Prof. TANG Wei at the National University of Singapore (NUS) (https://pharmacy.nus.edu.sg/team/asst-prof-tang-wei/).

We are looking for highly motivated and competent research fellows to work on research focusing on building new generation drug delivery technologies for disease visualization, precision nanomedicine, vaccine delivery and immunotherapy. The successful candidate will independently undertake advanced research, lead and promote activities designed to develop collaborative research, collect and analyze research data, prepare reports/presentations/manuscripts, and supervise graduate/undergraduate students.

Qualifications

Qualifications:
o PhD degree in chemistry, life sciences, materials science, bioengineering, or related field.
o Good publication records in peer-reviewed journals.

Experience/Skills:
o Proficient in nanomaterial design and synthesis or molecular biology and immunology.
o Experience with animal handling and cell culture techniques.
o Be able to independently lead projects and effectively work in a team.
o Strong critical thinking and problem-solving skills.
o Excellent project management skills, communication skills, and great ability in written and spoken English.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Institute for Functional Intelligent Materials (I-FIM) is the world’s first institute dedicated to the design, synthesis, and application of Functional Intelligent Materials (FIMs). Its global vision is to create a platform to develop FIMs with predetermined properties and autonomous, dynamic functionalities which can respond to changing environmental conditions. I-FIM will then investigate the use of such materials for smart applications in various sectors of technology.

Our outstanding researchers and excellent facilities create an energetic environment for ground-breaking science and world-class training. We are hosted by the National University of Singapore, a globally leading research university, empowering multidisciplinary research that spans cutting-edge approaches from the biological, computational, physiochemical and engineering sciences.

I-FIM has an opening for Visiting Research Assistant Professor for outstanding candidates to expand our current faculty to complement existing strengths and seed new strategic directions.

Job Requirements

The Institute for Functional Intelligent Materials (I-FIM) is seeking candidate with the following experiences and qualifications:

• PhD in Physics
• At least 5 years academic experience in quantum 2D materials and technology, ability to analyse electronic transport properties, measuring low temperature quantum Hall and develop advanced nanofabrication with 2D materials
• Ability to forge partnership with I-FIM to support international collaboration research in quantum technology and joint application of international collaborative research grants
• Distinguished publication records

UWCSEA East has a full-time vacancy for a Teacher of High School Chemistry and Science from August 2024. The appointee will teach IB Diploma Chemistry and Grade 9/10 Science. Ability to teach other subjects would be an asset.

The Science Department is composed of enthusiastic and dynamic teachers who work in a very well-resourced environment for learning. Teaching takes place in dedicated science classrooms that are part of a large, vibrant science faculty at UWCSEA.

Please note that to apply for this role, you must have an internationally recognised qualification and reside in Singapore.

By applying for this job, you are committed to meet the vaccination requirement by the Singapore Government. You may refer to https://www.mom.gov.sg/covid-19/vaccination-requirements-as-a-condition-for-mom-passes for the latest requirement.

Main Responsibilities

• Teachers should be willing to contribute positively to the collaborative culture of the Science and broader High School teams.
• Teachers should construct learning experiences that challenge students, support the diversity of learners in each classroom and demonstrate a strong commitment to concept-based teaching and learning.
• Teachers should ensure assessments support ongoing learning and provide timely, relevant and appropriate feedback to students on formative and summative assessments.
• Teachers should demonstrate effective classroom management that shows an understanding of the academic, social and emotional dimensions of learning.
• Teachers should keep parents informed about the learning of their children, and be proactive in communication with parents.

Expectations and Standards

• Follow the UWCSEA Professional Code of Conduct and Safeguarding Code of Conduct.
• Teach in line with the UWCSEA Teacher Standards

Person Specifications

• A good degree and a recognized teaching qualification or certification are expected.
• Teachers should be willing and eager to participate in the five key elements of a UWCSEA education: Academics; Activities; Outdoor Education; Personal and Social Education and Service.
• Academic expectations include enthusiastic participation in Professional Learning.
• Pastoral expectations include the leadership of a mentor group, unless the teacher is exempted due to other responsibilities.

Application

The UWC Mission is to make education a force to unite people, nations and culture for peace and a sustainable future. We are committed to creating a community in which all members feel safe and secure, and know that their authentic selves and individual differences are accepted with respect and care. At UWCSEA, we acknowledge that diversity, equity, inclusion and justice (DEIJ) is an ongoing and evolving process and strive to create and sustain a sense of belonging for all members of our community, past, present and future. All qualified applicants, including those who identify as a part of marginalized group(s) and individuals with (dis)abilities are all encouraged to apply. Our school is committed to safeguarding and promoting the welfare of all the students in our care and expects all applicants to share this commitment. We follow safe recruitment practices and all appointments are subject to interview, satisfactory references, identity and criminal record checks.