Total 1,334 Junior Executive level Full-time Science / R&D / Research job vacancies

Job Responsibilities:-

· To prepare apparatus and set-ups and render help to teachers during Science Experiments in the laboratory.

·To manage, operate, care and maintain the science laboratories and science learning environment.

· Assisting teachers in the labs during Science lessons

· To maintain cleanliness and neatness in the Science Laboratory.

· Assist in the upkeep of equipment in Science Lab.

· Assists General Office with general administrative duties

Required skills and experience:

· At least 2-3 years of experience in handling common Lab equipment found in school labs. (eg. Microscope, dataloggers, etc.)

· Excellent team-player who is organized, meticulous and with the ability to multi-task.

· Strong communication and interpersonal skills.

· Preferably to be proficient in MS Office.

· Preferably with working experience in school laboratory.

Research Assistant


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Exciting opportunity to join a team conducting malaria volunteer infection studies
Opportunity to develop expertise in working in a cGMP environment
Attractive salary packaging & superannuation options
About QIMR Berghofer: QIMR Berghofer is a world-leading translational medical research institute focused on improving health by developing new diagnostics, better treatments and prevention strategies, specifically in the areas of Cancer, Infection and Inflammation, Mental Health and Neuroscience, and Population Health. Based in Herston, Brisbane and working in close collaboration with clinicians and other research institutes, QIMR Berghofer is home to more than 600 scientists, students and non-research staff. About Clinical Malaria Laboratory: The Clinical Malaria Group conducts





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Cutting Edge Research
Make a meaningful contribution to scientific advancements aimed at combating childhood, adolescent and young adult cancers
Be part of something bigger than yourself
Full Time Fixed Term Position until April 2025 with potential for extension

We are seeking a highly motivated individual with a passion for advancing cancer research and a willingness to contribute to various aspects of the research process. If you are eager to make a meaningful impact in the field of cancer treatment, we encourage you to apply for this exciting opportunity.
Be challenged and imagine with us
As a Research Assistant (RA), you will play a crucial role in supporting a variety of research initiatives focused on developing innovative treatment approaches for high-risk childhood, adolescent and young adult cancers. Your responsibilities will include monitoring, treating, and managing key components essential to the research endeavours ... Click here to view more detail / apply for Research Assistant

Research Assistant


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Exciting opportunity to join a team conducting malaria volunteer infection studies
Opportunity to develop expertise in working in a cGMP environment
Attractive salary packaging & superannuation options
About QIMR Berghofer: QIMR Berghofer is a world-leading translational medical research institute focused on improving health by developing new diagnostics, better treatments and prevention strategies, specifically in the areas of Cancer, Infection and Inflammation, Mental Health and Neuroscience, and Population Health. Based in Herston, Brisbane and working in close collaboration with clinicians and other research institutes, QIMR Berghofer is home to more than 600 scientists, students and non-research staff. About Clinical Malaria Laboratory: The Clinical Malaria Group conducts





... Click here to view more detail / apply for Research Assistant

Our client is the largest defense research and development (R&D) organization in Singapore, with a crucial mission to advance technological solutions that enhance Singapore's national security. They are currently looking for a Temporary Research Assistant to join their team from either May to July or June to August. If you meet the required qualifications and can commit to the specified contract duration, we encourage you to apply for this opportunity.

Job Description

• Compile database of chemical substances with their respective physicochemical properties sourced from MSDS and literature.
• Assist in logistical arrangements for experimental field trial.
• Perform data analytics using Python/R/ PowerBI
• Conduct literature review

Requirements

• Minimally diploma in Chemistry/ Chemical Engineering
• Proficient in the use of analytical tools for data analysis
• Comfortable with conducting small scale lab experiments.

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

In the era of rapidly advancing artificial intelligence, the project aims to bridge the gap between human language understanding and mathematical problem formulation. This project leverages the power of large language models to transform natural language data into basic mathematical programming formulations, specifically focusing on linear programming problems (mainly in the field of supply chain and logistical) with restricted variables and constraints.

Qualifications

• Holding a Bachelor’s degree in Computer Science, Industrial Engineering, Mathematics, or other related Engineering or Science disciplines.

• Background in Natural Language Processing (NLP): Candidates should have some understanding of machine learning principles, particularly in the field of NLP. The candidate should be familiar with transformer architectures, such as BERT, GPT, or T5, and have experience in fine-tuning and training these models on large datasets.

• Proficiency in Mathematical Optimization: Prior exposure to understanding of mathematical optimization techniques, especially linear programming, is essential. The candidate should be proficient in formulating optimization problems, interpreting constraints, and defining objective functions.

• Programming Skills: Strong programming skills are preferred, particularly in languages commonly used in machine learning and NLP, such as Python. Candidates should be adept at libraries and frameworks like TensorFlow, PyTorch, Hugging Face Transformers, and Scikit-learn.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant/ Associate in the Centre for Behavioural and Implementation Science Interventions, Yong Loo Lin School of Medicine. The Centre for Behavioural and Implementation Science Interventions (BISI) is a research and education centre that aims to improve the health and well-being of the population by accelerating evidence-based practice through the use of behavioural and implementation sciences. This appointment will be working with Prof Uri Gneezy on his behavoiural economics projects.

Appointments will be made on one year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant/ Associate will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful execution of PI’s research agenda. The RA’s principal role will be to assist the PI in project managing their research projects, perform research operations and administration duties and carry out work in general practices such as recruitment, data collection, data entry and analysis.

Main Duties and Responsibilities

The Research Assistant / Associate will liaise with the relevant personnel in the healthcare system and university to smooth the process of recruitment and data collection and will be accountable to the Principle Investigator (PI). The RA will be able to:

1. Assist the PI in managing and delivering their research projects;
2. Work with senior members of the team to undertake the day to day running of the PI’s research projects;
3. Conduct literature searches, using SPSS to enter data, and analyse data and maintain trial database, as well as assist in preparing both progress and final reports of the project;
4. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
5. Assist PI in developing conference presentations and publications on the ongoing research work.
6. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. Have a first degree with good results or holds a Bachelors or Masters degree in related disciplines;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. have knowledge of computer applications, e.g. SPSS, MS office, PowerPoint;
4. have experience in the areas of behavioural sciences or behavioural economics

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Mr Tong Shao Chuen at sctong@nus.edu.sg.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant for “The Role of Novel Autoantibodies in Idiopathic Small Fiber Neuropathy” in the Department of Medicine, Yong Loo Lin School of Medicine. Appointments will be made on a 6 months contract basis.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator to conduct the experiments and analyze and present data.

Main duties and responsibilities

The Research Assistant will liaise with the relevant personnel in hospital to smooth the process of recruitment and data collection and will be accountable to the Principle Investigator (PI). The RA will be able to:

1. Oversee the general management of the project;
2. Provide administrative and secretarial support to the project, such as organizing regular meetings to maintain regular communication with other members of the research team and collaborate with the study sites;
3. Undertake the day to day running of the project at the study site, e.g. Collaborate with team members at the study sites, recruitment, data collection at hospitals/participants’ homes, coordination of patients’ and participants’ study visits;
4. Conduct literature searches, using SPSS to enter data, and analyse data and maintain trial database, as well as assist in preparing both progress and final reports of the project
5. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
6. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

Qualifications

The applicant should:

1. Have a first degree with good results or holds a B.Sc. degree or equivalent in life sciences;
2. have experience in neuroscience, immunology, cell culture and molecular biology;
3. be able to work independently and in a team, have an investigative nature, attention to detail;
4. have good interpersonal skills to coordinate between patients and study team, and between study team members and collaborators
5. have knowledge of computer applications, e.g. SPSS, MS office, PowerPoint.

Remuneration will be commensurate with the candidate’s qualifications and experience.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Research Assistant

We are recruiting a full-time Research Assistant to support the Principal Investigator, Associate Professor Natasha Howard, in the implementation and administration of research projects in the areas of health equity, infectious disease control, and global health.

Responsibilities:
The research assistant will focus on research and administration in infectious disease control policy and health system strengthening in the Asia region. This will include:
• Supporting qualitative and quantitative research, including contributing to design, implementation, analysis, and write-up of journal manuscripts and reports/policy outputs.
• Project management and administration for multiple research projects, including ethics review applications to NUS IRB and study country review boards, donor reporting, and liaison with relevant teams in NUS SPH and internationally.
• Assisting the PI in other day-to-day tasks as required.

Requirements:
• At least a Bachelor’s Degree in a relevant subject area.
• Excellent academic writing and communication skills in English.
• Experience of successfully managing multiple tasks concurrently.
• Strong qualitative and/or quantitative research skills and experience, including at least some experience with conducting or analysing semi-structured interviews, and capacity/interest to learn social science methodology.
• Highly organized and able to work effectively under pressure, use independent judgement, produce high-quality quality work, and problem solve within time constraints.
• Able to work independently as well as with a team.

Desirable:
• Degree or relevant experience using social science methodology.
• Experience with Atlas.ai/NVivo and R or similar, and capacity/interest to learn.
• Experience of research in global health and/or health policy and systems.

Only Singaporeans/SPRs/residents with existing right to work in the country may apply for this position.

Recruitment is open immediately and will continue until the position is filled.

Applicants should send the following documents during the job application:
1. Cover letter highlighting career goals and relevant experience
2. Curriculum Vitae, containing details of three named referees

The School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With more than 130 faculty members and an enrolment of more than 4,000, of which close to 1,000 are graduate students, it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2021 QS World University Rankings by Subjects.

EEE is inviting applications for the position of Research Assistant. The Research Assistant will work with our team to conduct research on the development of image analysis algorithms and AI methods for hardware security evaluation.

Key Responsibilities:

• Study literatures on PCB security evaluation, PCB multi-modal image analysis, and datasheet parsing.
• Data annotation and preprocessing.
• Research and develop algorithms and AI models for various computer vision tasks of PCB image analysis.
• Algorithm/model evaluation and testing.
• Maintain the integrity of the data and code base.
• Prepare documentation and report for technology transfer.
• Prepare reports and presentations for review meetings.
• Prepare and publish research papers on top-tier journals and conferences.

Job Requirements:

• Bachelor Degree in Computer Science or Electrical Engineering from reputed universities, with hands-on experience in related fields.
• Familiar with Python, PyTorch, etc.
• Experienced in image processing and machine learning.
• Excellent verbal and written communication skills.
• Proficient in literature study and can conduct research independently.
• Independent and self-motivated.
• Organized and detail oriented.
• Willing to learn.

We regret that only shortlisted candidates will be notified.

Job Purpose

We are looking for an aspiring actuary to join our actuarial General Insurance (GI), Group, and Accident & Health (A&H) team. Reporting to the Head of GI and A&H Pricing, you will be leading a dynamic team of actuaries and assist the company in the managing of the GI, Group and A&H portfolio. This includes product pricing, product development, and monitoring of products. Provide actuarial support to actuarial valuation team, and General, Group and A&H businesses.

The Job

· Product pricing and data analysis, bydeveloping and enhancing in-house statistical capability, which includes:

- Design and develop pricing models that meet internal and regulatory requirement;

- Design and perform data analysis with the aim of providing actionable insights, as well as setting pricing assumptions;

- Periodic profitability study and experience analysis

- Assist in the financial management of the business, including reinsurance program review

- Support business units by generating relevant reports for monitoring and tracking purposes

· Collaborate with internal/ external stakeholders to price and develop GI, Group and A&H products. This includes:

- Collaborating with internal stakeholders on the design and pricing of the products; and

- Work closely with underwriters and claims managers to integrate new product features and improvement in processes into their day to day operational activities.

- Provide technical support on other related matters, such as marketing, underwriting, claims management and system development

· General Insurance regional involvement to provide pricing guidance and review support across entities

· Assisting the Company in driving the GI, Group and A&H business through experience and profitability analysis on various business lines.

· Play a leading role in actuarial pricing related projects, and supporting the business units in achieving their key performance indicators.

· Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks.

· Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company.

· Highlights any potential concerns /risks and proactively shares best risk management practices.

Our Requirements

· Degree Holder in Actuarial or Statistics

· A qualified/ near qualified Actuary

· 6 years or above in relevant actuarial roles.

· Experience working closely with underwriting, claims and product developers.

· Experience in project management and presenting financials to management.

· In depth knowledge of GI, Group, A&H insurance products and actuarial practice.

· Excellent in statistical analysis, problem solving and communication skills

· Proficient in MS Excel

· Good knowledge of statistical packages and strong interest in programming (e.g. SAS, SQL, VBA, Prophet)

· Familiar with IP Shield, General Insurance products, reinsurance structures, AS400 system data structure, RBC2, IFRS17 and Prophet programming will be an advantage

· High level of integrity, takes accountability of work and good attitude over teamwork.

· Takes initiative to improve current state of things and adaptable to embrace new changes.

About Great Eastern

Established in 1908, Great Eastern places customers at the heart of everything we do. Our legacy extends beyond our products and services to our culture, which is defined by our core values and how we work. As champions of Integrity, Initiative and Involvement, our core values act as a compass, guiding and inspiring us to embrace the behaviours associated with each value, upholding our promise to our customers - to continue doing our best for them in a sustainable manner.

We work collaboratively with our stakeholders to look for candidates who exhibit or have the potential to embrace our core values and associated behaviours, as these are the key traits that we expect from our employees as they develop their careers with us.

We embrace inclusivity, giving all employees an equal opportunity to shine and play their role in exploring possibilities to deliver innovative insurance solutions.

Since 2018, Great Eastern has been a signatory to the United Nations (UN) Principles of Sustainable Insurance. Our sustainability approach around environmental, social, and governance (ESG) considerations play a key role in every business decision we make. We are committed to being a sustainability-driven company to achieve a low-carbon economy by managing the environmental footprint of our operations and incorporating ESG considerations in our investment portfolios; improving people’s lives by actively helping customers live healthier, better and longer; and drive responsible business practices through material ESG risk management.

To all recruitment agencies: Great Eastern does not accept unsolicited agency resumes. Please do not forward resumes to our email or our employees. We will not be responsible for any fees related to unsolicited resumes.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant in the Renal Immunology & Genetics (IMM-RIG) division, Department of Paediatrics, Yong Loo Lin School of Medicine. Our research studies comprise both clinical and laboratory-based research, as well as clinical trials, with the aim to better understand the type of kidney diseases that affect our Singapore children and adolescents, so that we can improve our diagnostic and treatment approaches to improve long-term outcomes as the child grows into adulthood. Appointments will be made on a one-year contract basis, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will work closely with, the Principal Investigator (PI), Research Fellows and study team members to ensure the successful completion of the research projects. The RA’s principal role will be to conduct research experiments which include but not limited staining, data acquisition, ELISA, cell culture, PCR, Western blot, experimental animal works and data analysis. He/She will also be involved in the procurement of laboratory consumables and periodic review of laboratory safety matters.

Main duties and responsibilities

The duties and responsibilities of the Research Assistant are as follow:

1. Provide technical and administrative support for research studies and clinical trials or new research projects from junior clinician scientists. This involves planning and performing experiments independently on a daily basis;
2. Provide administrative and secretarial support to the project, such as organizing regular meetings to maintain regular communication with other members of the research team and collaborate with the study sites;
3. Conduct literature searches, consolidate and analyse data (e.g. SPSS, R-studio), as well as assist in preparing both progress and final reports of the project;
4. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
5. Assist with any other duties of a similar nature that are delegated by the Research Fellows.

Qualifications

The applicant should:

1. have a first degree with good results in Life Sciences or related disciplines;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. have knowledge of computer applications, e.g. SPSS, MS Excel, PowerPoint;
4. have experiences in molecular biology and/or animal handling will be an advantage;
5. possess good interpersonal, communication skills, demonstrate initiative;
6. Able to work overtime or on Saturday when required, with appropriate off-in-lieu arrangements provided.

Remuneration will be commensurate with the candidate’s qualifications and experience. Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant for “Machine learning for Cognitive AI for biomedical sciences” in the Department of Ophthalmology, Yong Loo Lin School of Medicine. The department’s current data science efforts focus on building consciousness inspired machine learning to improve generalization and robustness of AI in medicine. The department has strong computational and medical expertise and significant amount of medical data and computational resources. More information on the department is available at https://medicine.nus.edu.sg/medoph. Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the machine learning projects on time. The RA’s principal role will be to work in computational project such as modeling building and algorithm development.

Main duties and responsibilities

The Research Assistant will liaise with the relevant personnel in department to smooth the process of research and will be accountable to the Principle Investigator (PI). The RA will be able to:

1. Independently conduct machine learning in medicine or fundamental machine learning projects under instruction by the PI
2. Oversee the general management of the projects.
3. Provide administrative and secretarial support to the project, such as organizing regular meetings to maintain regular communication with other members of the research team
4. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures.
5. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

Qualifications

The applicant should:

1. holds a Bachelor’s or master’s degree in computer science, engineering, biomedical informatics, data science, or related disciplines;
2. be able to work independently and in a team, have an investigative nature, attention to detail;
3. have strong knowledge of machine learning or biomedical informatics;
4. have experiences in the fundamental machine learning or machine learning in medicine

Remuneration will be commensurate with the candidate’s qualifications and experience.

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees.

The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Assistant.

Key Responsibilities:

• Develop new paradigms for intelligent human-computer interaction
• Design algorithms for affective computing and sentiment analysis
• Integrate commonsense knowledge representation and reasoning in the system

Job Requirements:

• Possess a BEng in Computer Science or related disciplines
• Some proficiency in AI and machine learning algorithms
• Some proficiency in writing scientific papers
• Good interpersonal skills
• Good teamwork awareness
• Good communication and writing in English
• Strong responsibility for research / work

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The laboratory of Presidential Young Professor Liu Yuxin at National University of Singapore (NUS Bioelectronic lab website: https://www.lab-liu.com/) seeks research assistant. The primary responsibility is to assist the principal investigator in administrative tasks and laboratory management. In addition, you will work on developing novel biosensors and bioelectronics to capture and analyze digital dynamic resilience biomarkers. Particularly, we will develop AI-integrated wearable electronics technology for biochemical dynamic resilience biomarkers. You will be part of the Welcome Leap Dynamic Resilience Program (https://wellcomeleap.org/dr/).

Key Responsibilities

• Assisting the PI in the management of the research group and its activities
• Managing laboratory resources such as equipment, supplies, and materials. This involves inventory control, ordering new supplies, and maintaining equipment to ensure functionality.
• Overseeing the day-to-day operations of the laboratory, including safety training, managing lab staff, delegating tasks, and ensuring adherence to safety protocols and regulations.
• Developing and managing the laboratory budget, including allocating funds for equipment purchases, maintenance, and other operational expenses.
• Drive and facilitate multidisciplinary wearable electronic research project
• Work with clinicians and physicians for human clinical study
• Conduct research in electrochemistry, sensors, flexible electronics research area
• Design and implement IRB study on human subject
• Preparation of publications and managing other forms of research output

Qualifications

• Obtained or expecting bachelor’s degree in science or engineering
• Interested in bioelectronics, wearable electronics, electrochemical sensors, flexible electronics.
• Prior experience in conducting research experiments in an academic lab
• Interested in working in a multidisciplinary team
• Strong verbal and written communication skills in English
• Responsible and able to work independently
• Prior experience in managing project, laboratory or research funding is advantageous
• Previous research experience in electrochemical sensors, actuators, flexible electronics and microfluidics is advantageous.

To apply, please send your cover letter, CV and names of 3 references (name, institution, email) .