Total 322 Junior Executive level Science / R&D / Research job vacancies

• Assist the clinical team with updating and maintaining clinical systems that track study & site compliance and performance within project timelines.
• Assist the clinical team in the preparation, handling, distribution, filing, and archiving of clinical documentation and reports.
• Assist with periodic review of study files for accuracy and completeness and to support with project related filing.
• Assist with the tracking and management of Case Report Forms (CRFs), queries, and clinical dataflow.
• Assist in handling the project-related administrative matters, such as preparation for regulatory submissions, safety report handling, and other logistic issues.
• Assist with Project finance related activities including project expenses invoice preparation and tracking as well as site payment invoice review, preparation and tracking.
• Act as a central contact for the clinical team for designated project communications, correspondence, and associated documentation including communication with sponsor and vendors as delegated.
• Support any other project related tasks as assigned.

Requirements

• Min Degree in any science courses
• Some working experience / internship in clinical research organization or as clinical research coordinator in hospital

Up to $3.5K

Interested candidates, please forward your resume to kevynhuang@recruitexpress.com.sg

Consultant: Huang Jingsheng Kevyn (R1333338)
Recruit Express Pte Ltd (99C4599)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28BIRTH-Study-Biochemistry%29/32367-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant for “The BIRTH study – the Biomarker guided Intervention for Reducing Threat of High-risk preterm birth study” in the Department of Biochemistry, Yong Loo Lin School of Medicine. The Department undertakes excellence in research and scholarship through intimate support of our faculty and staff in the NUS Medicine Translational Research Programmes (TRPs). Our scientific strengths and leadership are evidenced by Biochemistry being the academic home of 4 TRP Directors, and by stellar research scholarship in cancer, cardiovascular disease, digital medicine, healthy longevity, human potential, infectious disease, immunology, precision medicine and synthetic biology. Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post
We are seeking a skilled Research Assistant to support the development and validation of an advanced preterm birth (PTB) screening tool that integrates AI-based analysis of vaginal microbiome, miRNAs, maternal medical history, and demographic factors. The successful candidate will focus on sample preparation and analysis to identify microbial composition and activity associated with PTB using Desorption Electrospray Ionization Mass Spectrometry (DESI-MS) and 16S rRNA sequencing. This is an excellent opportunity to work with cutting-edge DESI-MS technology, develop expertise in high-throughput Illumina sequencing, and contribute to impactful translational research. The successful candidate also has the prospect to receive overseas training in these techniques.

Main duties and responsibilities
This role is ideal for an individual passionate about maternal-fetal health and translational research, seeking to understand molecular and microbial factors driving preterm birth. The Research Assistant will:

(1)    Prepare and process biological samples for microbiome and biomarker analysis;
(2)    Conduct DESI-MS experiments to profile microbial composition and activity linked to PTB;
(3)    Perform 16S rRNA sequencing, including sample preparation, library construction, and quality control;
(4)    Maintain accurate laboratory records and ensure compliance with safety and quality standards;
(5)    Troubleshoot and optimize experimental protocols to improve throughput and data quality;
(6)    Collaborate with bioinformaticians, clinicians, and interdisciplinary researchers to achieve project goals;
(7)    Assist in preparation of reports, presentations, and scientific manuscripts;
(8)    Manage day-to-day project activities and support laboratory operations;
(9)    Perform other duties as assigned by the PI.

Qualifications

The applicant should have:

1. A Bachelor’s degree in Biology, Biochemistry, Molecular Biology, Microbiology, or related fields;
2. Hands-on experience with molecular biology techniques (DNA/RNA extraction, PCR, sequencing workflows);
3. Familiarity with mass spectrometry (DESI-MS preferred) or other analytical chemistry techniques; an opportunity to train overseas in the technique is available;
4. Knowledge of 16S rRNA sequencing and microbiome analysis is a plus;
5. Strong verbal and written communication skills, with ability to document research clearly;
6. Excellent teamwork, problem-solving, and organizational skills, with the ability to work independently and collaboratively.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms. Anna Gan (anna.gan@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 (if any) and full contacts of three (3) referees to the NUS Career portal.

We regret that only shortlisted candidates will be notified.

An experienced part time sales associate is required for our jewellery store at Tanglin Mall.

Training will be provided but prior experience in doing cashiering duties + customer handling in jewelry/retail stores is needed.

Perform opening and closing of store as per stated time lines.

Follow monthly, weekly and daily cleaning schedules for upkeep of store and jewelry in store.

Candidate should be a self starter and motivated.

Ability to work Independently is a must.

On offer - Competitive Hourly Rate+ Sales Commission.

Job Description:

• Load, transport, and deliver items safely and within designated timeframes.
• Conduct pickups and deliveries for assigned areas as per company requirements
• Prioritize and ensure timely delivery of urgent or high-priority goods
• Verify orders before and after delivery to confirm accuracy and customer satisfaction.
• Maintain the vehicle in proper working condition and report any issues promptly.
• Follow assigned routes and adhere to scheduled delivery times.
• Handling store activities, loading, unloading including housekeeping
• Maintain tidiness and care of warehouse equipment to support a safe working environment
• Professionally represent the company with a good attitude and politeness
• Other ad-hoc duties

Requirements:

• Possesses Class 3 Driving License
• Having a Forklift License will be an advantage
• At Least 5 year of driving experience
• Ability to handle manual loading/unloading of heavy materials using proper techniques safely
• Ability to work independently and collaboratively within a team
• Responsible and safety-conscious work attitude

Working Hours:
Monday to Friday 730am - 8pm
Saturday 730am - 3pm

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Dept-of-Pharmacology%29/32332-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

STATEMENT OF PURPOSE

To conduct neuropsychological assessments, and to assist in research procedures. Candidates will gain training and exposure to research skills (running study, data collection, data analysis and communication skill). 

DUTIES AND RESPONSIBILITIES 

(A) SPECIFIC (80%)

1. Conduct neuropsychological assessments, clinical interviews, deliver interventions and follow-up of patients and subjects for research purposes 

2. Assist in project planning and study material preparation of research projects 

3. Involved in project coordination of research projects 

4. Assist in data entry and data analysis of research projects 

5. Obtaining additional or confirmatory clinical data by interviews with caregivers 

(B) GENERAL (20%)

1. The Research Assistant will carry out other duties as specified by their Reporting Officer.

Qualifications

• JOB REQUIREMENTS 

(A) EDUCATION, TRAINING AND EXPERIENCE

1. BSc, BA, BA (Psych) or relevant Background. Final year students are welcome to apply. 

(B) LANGUAGE

1. Able to speak English, Mandarin and/or Chinese dialects as you may required to liaise with elderly participants who only speak their mother tongue 

2. Fluency in Malay or Tamil are added advantage as you may required to liaise with elderly participants who only speak their mother tongue 

Job Summary

Perform accounting functions including accounts payable and receivable, prepare and send invoices and statements, manage purchase orders and records, and resolve billing queries to support accurate financial operations.

Job Description

• Perform accounts payable and accounts receivable functions to ensure accurate financial processing
• Prepare, check, and deliver invoices and statements of accounts to customers via mail, email, WhatsApp, and other channels
• Send payment reminders and follow up with customers to secure timely payments
• Process supplier purchase orders and invoices to maintain accurate records
• Maintain up-to-date and accurate system records, including general ledger entries, to support financial reporting
• Organize and maintain a proper filing system for all documentation and records
• Respond to and resolve customer billing queries to ensure customer satisfaction
• Complete any other ad hoc duties as assigned

Job Requirement

• Possess a certificate in accounting, LCCI bookkeeping, or an equivalent qualification
• Proficient in Microsoft Office applications including Excel, Word, and Outlook
• Able to work independently with strong time management skills and the ability to prioritize tasks
• Able to communicate effectively in English and Mandarin with clients
• Knowledge of Auto Count software is an advantage; training will be provided
• Ability to multitask effectively and collaborate well as a team player
• Entry-level candidates are welcome to apply

Other Information

Working Hours:

• Monday to Friday 08: 30am to 5:30pm
• Saturday 08: 30am to 1:00pm

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28DISA%29/32357-en_GB/?st=41085BF5874C402EC4DA49352CBB9F7BD4C5EDB7

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 Information Systems and Analytics (DISA), 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 Information Systems and Analytics.

The successful candidates 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

• Bachelors or fresh Master’s degree in a relevant area
• Experience in research
• Comfort in reviewing and summarizing research papers
• Comfort in handling and analyzing large data sets
• Prior research experience preferred
• Strong command of English (written and spoken)

CONTRACT POSITION!!!

SCIENCE LABORATORY ASSISTANTS

SINGAPOREANS/ PRs ONLY

($2,100-$2, 300)

LOCATION

CENTRAL/NORTH-EAST

JOB DESCRIPTION

The Services required are set out as follows:                                                 

• To support inquiry-based learning for Science.
• To support the smooth operations of two science laboratories with a focus on enabling hands-on learning for science learning.
• To assist teachers in the preparation of materials and apparatus for science practical lessons and assessments.
• To manage, operate, care and maintain the science laboratories and science learning environment (eg. school garden and science corners)
• To source and procure equipment and materials and maintain an inventory list of consumables and keep track of inventory.
• To take responsibility for laboratory safety and may be required to serve as a certified first aider.
• To assist in classes, workshops and other events in logistic support and supervision of safe use of laboratory tools.
• Provide administrative support as deployed by the school.

JOBREQUIREMENTS

• NITEC Diploma or GCE ‘O’ Level Certificate
• Have at least 2 years of similar experience as a lab technician in a primary school
• Good communication and interpersonal skills
• Preferably proficient in MS Office such as Word, Excel and PowerPoint.
• Able to handle live specimens, such as insects and chemicals

WORKING HOURS

• Mondays to Fridays: 7.00 am to 4.30 pm, inclusive of 1hr lunch break
• Service not required on Saturdays, Sundays and gazetted public holidays

SERVICE CONNECTIONS HR CONSULTANCY PTELTD

Email resume to - servcon@singnet.com.sg/ / recruit@serviceconnections.com.sg

OR

Call for more details please call at 6333 0052
Mondays to Fridays
9.00am - 5.00pm

111 North Bridge Road
#07-30 Peninsula Plaza
Singapore 179098
www.serviceconnections.com.sg
License no: 09C4937 / R11022931

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 over 3,000 undergraduates students and 2,000 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 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

We are seeking a Research Assistant (PhD student) to develop accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models, including large language models (LLMs), vision-language models (VLMs), and vision-language-action models (VLAs), across a range of model scales and application scenarios. The Research Assistant will advance efficient AI techniques that enable scalable deployment on cloud, edge, and robotic platforms. The Research Assistant will contribute to the University’s mission by conducting high-impact research, developing innovative efficiency-oriented methods, and disseminating research outcomes through publications, collaborations, and open-source contributions.

Key Responsibilities:

• Develop accelerated AI/ML and robotics algorithms that significantly reduce computation cost, memory footprint, and power consumption.

• Design and optimize efficient training and inference pipelines for foundation models (LLM, VLM, VLA) across different model sizes and deployment settings.

• Apply and advance model compression techniques, including quantization, pruning, knowledge distillation, low-rank adaptation, and related methods.

• Conduct algorithm-hardware co-design to enable efficient and accurate deployment of AI algorithms on robotic, edge, and heterogeneous computing platforms.

• Develop methods for efficient deployment of AI models on cloud and edge devices, considering latency, throughput, and energy constraints.

• Implement, evaluate, and benchmark accelerated models using rigorous experimental protocols.

• Contribute to research publications in top-tier AI, ML, and robotics conferences and journals.

• Collaborate with interdisciplinary teams spanning AI, systems, and robotics.

• Contribute to open-source codebases and reproducible research practices.

Job Requirements:

• A Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a closely related field.

• Strong research background in AI and machine learning, with a focus on efficient or accelerated models.

• Proven experience with model compression techniques, such as quantization, pruning, distillation, and low-rank adaptation.

• Demonstrated experience working with foundation models, particularly vision-language models (VLMs); experience with LLMs or VLAs is a strong advantage.

• Solid understanding of algorithm-hardware co-design, especially for robotics or edge AI deployment.

• Strong programming skills in C, C++, and Python, with experience in deep learning frameworks such as PyTorch or TensorFlow.

• Familiarity with deployment constraints on cloud, edge, or embedded systems.

• Experience in robotics, embodied AI, or autonomous systems is an advantage.

• Strong publication record or clear potential to publish in leading international venues.

• Ability to work independently, manage complex research tasks, and collaborate effectively in interdisciplinary teams.

• Good written and oral communication skills.

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

Key Responsibilities:

• Plan and execute experiments towards the research objectives of the team

• Document and maintain accurate and timely records of all work conducted

• Data analysis and reporting

• Contribute to formulating hypothesis, grant writing, publications in peer-reviewed journals and present research findings at conferences, seminars, and meetings

• Participate in weekly lab meetings

• Provide research support to other team members as required

• Contribute to laboratory maintenance, purchasing, and safety duties

• Contribute mentoring to more junior members of the team where required

• Contribute to an open, transparent and collegial team culture, collaborate both within the team as well as with external collaborators

Job Requirements:

• Diploma or Bachelor’s or Master’s degree in biological/biomedical sciences or related field (including veterinary sciences)

• At least one year research experience in a wet-lab environment

• Good written and oral communication skills

• Good interpersonal skills, ability to work independently as well as in a team

• Meticulous, with attention to details

• Excellent organizational and time management skills

• Ability to work collaboratively in a fast-paced environment

Desirable:

• Prior research experience in neuroscience preferred

• RCULA certification preferred

• Prior research experience with bioinformatics is advantageous

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Healthy-Longevity-TRP%29/29706-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore (NUS) invites applications for a Research Assistant position in Dr Mohammad ALFATAH’s lab, part of Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine. The lab is dedicated to understanding the biology of aging and identifying geroprotective interventions to promote healthy longevity. Appointments will be on a 1-year contract in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will work closely with Principal Investigator (PI) to support ongoing research projects focused on chemical (e.g., drugs, natural products, metabolites) and genetic interventions for neurodegenerative diseases, including Alzheimer’s disease. The role includes evaluating the efficacy of candidate interventions using cellular and disease models.

Main duties and responsibilities

1. Conduct cell culture, high-throughput chemical/genetic screening, and molecular biology experiments involving DNA, RNA, protein work, and multi-omics analyses.
2. Perform literature reviews, design experimental plans, and analyze data independently and reliably.
3. Manage general laboratory operations, including maintaining chemical and cell line inventories, tracking equipment, and supporting project-related administration.
4. Undertake any other related duties as assigned by the PI.

Qualifications

1. Bachelor’s degree and/or Master’s degree in Life Sciences, Biomedical Science, Molecular Biology, or a related discipline.
2. Prior laboratory experience, especially in cell culture and molecular biology techniques, is required.
3. Strong ability to work both independently and collaboratively, with a self-driven and proactive attitude and willingness to learn new skills.
4. Experience in bioinformatics, particularly with Python or R programming, is a plus.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Clarinda Lim at clarinda_lim@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 to this job portal.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Department-of-Computer-Science%29/32322-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Natural Language Processing Group at the National University of Singapore invites applications for Research Assistants in the Department of Computer Science, School of Computing (SoC), in the research area of propaganda detection, which concerns automated detection of targeted and coordinated disinformation campaigns. The appointment is for a period of one (1) year.

Qualifications

The candidate should possess a Bachelor's or Master’s degree in computer science or a related discipline, with outstanding academic record. Strong programming skills (Python and PyTorch) and good command of English (both spoken and written) are also required. Candidates interested in pursuing a PhD degree in computer science are especially welcome to apply.

Interested candidates should apply with a cover letter, CV, degree certificates, academic transcripts, names and email addresses of three (3) referees.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Psychology%29/32323-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Support a project on closed-loop prediction of voluntary action and pain withdrawal by programming and debugging BCI pipelines, integrating EEG/EMG/thermal stimulation systems, running experiments, analysing data, and preparing technical reports, presentations, and manuscripts.

Qualifications

Bachelor’s degree in computer science, engineering, neuroscience, psychology, or a related field. Strong programming skills required; ability to program in Python and C/C++ is a major advantage. Prior experience with EEG, brain-computer interfaces, signal processing, or real-time classification pipelines is highly desirable. Familiarity with advanced statistical analysis and the ability to translate analysis into clear presentations and written reports is required. Experience with tools such as OpenViBE, MNE, PyRiemann, MATLAB, or related frameworks would be advantageous. Strong debugging skills, attention to detail, and the ability to work independently in an interdisciplinary research environment are essential.

Job Summary

Support inquiry-based science learning by managing and maintaining science laboratories and learning environments, assisting teachers with practical lesson preparation, ensuring laboratory safety, and providing administrative and logistical support in a primary school setting.

Responsibilities

• Support inquiry-based learning by preparing materials and apparatus for science practical lessons and assessments
• Manage, operate, and maintain two science laboratories and related science learning environments such as the school garden and science corners
• Source, procure, and maintain an inventory of laboratory equipment and consumables
• Ensure laboratory safety by monitoring safe use of tools and potentially serving as a certified first aider
• Assist in classes, workshops, and events by providing logistical support and supervising safe laboratory practices
• Provide administrative support as assigned by the school
• Handle live specimens, including insects and chemicals, safely and responsibly

Required competencies and certifications

• NITEC Diploma or GCE ‘O’ Level Certificate
• At least 2 years of experience as a lab technician in a primary school

Preferred competencies and qualifications

• Proficiency in MS Office applications such as Word, Excel, and PowerPoint
• Good communication and interpersonal skills
  
  Working Hours:
• Mondays to Fridays: 7.00 am to 4.30pm, inclusive of 1hr lunch break
• Service not required on Saturdays, Sundays and gazetted public holidays