Total 230 Senior Executive science rd research job vacancies

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/Senior-Research-Scientist-%28Cancer-Science-Institute%2C-Prof-Ashok's-Lab%29/33179-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Duties & Responsibilities

•    Participate, coordinate, planning and executing research programme  
•    Supervising team of up to 5 researchers
•    Manage project deadlines, reporting and presentations internally and to external stakeholders

Requirements

• PhD with 3 years’ relevant post-doctoral experience
• Possess a strong track record of research achievement evidenced by high-quality publications in a relevant field
• Have a high-level experience in hands-on use of a wide range of relevant research methods including molecular and cell biology, somatic cell genetics, protein & nucleic acid biochemistry, advanced fluorescence microscopy and flow cytometry
• Able to work independently and creatively to solve experimental problems
• Have an effective communication and presentation skills, with experience in communicating scientific work including scientific papers, presentations and reports

• Acts as a scientific expert between Bayer andthe medical community through the dissemination and education of scientificdata and material.

• Establishes long-term scientific or strategicrelationships with key, influential physicians, scientists, stakeholders andwith related major medical associations and academic centres of excellence.

• Uses his/her experience and knowledgeinteracting with key external medical and pharmacy professionals through theprocess of education via one-on-one interaction; small group discussion andsymposia lecture presentations including interactions associated with sponsoredmedical education programs and research protocols.

• Facilitates Thought Leaders’ (TL) involvement innational, regional and local educational forums including advisory boards,symposia and Continuing Medical Education (CMEs).

• Serves as an important partner to internalstakeholders within Bayer by communicating relevant information from TLs to keycross-functional partners

• Regional property development platform with exposure across Asia
• Opportunity to work closely with senior leadership and business stakeholders
• Stable and collaborative corporate environment
• Changi

Our Client is a Industrial real estate developer. With increasing projects in the pipeline locally & overseas, they are seeking experienced and professional individuals to join their local team.

Responsibilities

• Provide administrative and coordination support to the Business Development team, ensuring smooth day-to-day operations.
• Manage calendars, meeting schedules, travel arrangements, claims, and coordination of internal and external meetings.
• Maintain proper filing, documentation, and correspondence records, including hardcopy and softcopy document control.
• Support market research and compilation of industry updates, including property market trends and business-related news.
• Coordinate with clients, consultants, vendors, and internal departments on meetings, submissions, approvals, and project documentation.
• Maintain and update client databases, contracts, agreements, and project reference records.
• Assist in organising networking events, client visits, and corporate functions.
• Support onboarding arrangements and provide additional administrative assistance as required by the department.

Requirements

• Minimum GCE ‘O’ Level, Diploma in Business Administration, or related qualification.
• At least 3–4 years of relevant administrative or coordination experience.
• Proficient in Microsoft Office applications including Excel, PowerPoint, Word, and Outlook.
• Strong organisational, multitasking, and coordination skills with attention to detail.
• Good communication and interpersonal skills, with the ability to work independently in a fast-paced environment.
• Prior experience within real estate, property, or corporate environments will be advantageous.

OTHER INFORMATION:

• Location: Changi

• Working days: 5 Days

• Salary : up to S$4,000 / Negotiable + VB (salary will commensurate according to experience & qualifications).

HW TO APPLY:

If you are a team player, meticulous & organized, and more importantly, believe that YOU CAN MAKE A DIFFERENCE, we would like to hear from you.

Simply submit your application with your updated Resume in MS Word Format to David Sia Yi Sheng (EA Personnel Reg. No.: R1875905) by clicking the ‘Apply link’ /

or call your friendly Consultant, David, at 6590 9958 or 9271 7510 for a confidential discussion.

Please indicate the below information in your resume:

• Current & Expected Salary

• Reason(s) for leaving

• Notice Period / Availability to commence work

YOUR SUCCESS IS OUR ACHIEVEMENT!

NOTICE:

We would like to inform that only short-listed candidates will be notified. All applications will be treated with the strictest confidence.

By submitting any application or resume to us, you will be deemed to have read & agreed to the terms of our Privacy Policy, and consented to us collecting, using, retaining and disclosing your personal information to prospective employers for their consideration, and for our marketing EDMs which you may opt out by unsubscribing in the mailer. You may refer and access our website at https://www.achievegroup.asia/privacy-policy/ for more information.

Cessation of Collection of full NRIC Numbers:

In compliance with the Personal Data Protection Act and commitment to protect candidates’ personal data, Achieve Group will cease to collect, process or use full NRIC numbers during our screening and job application process.

Kindly ensure your resume provided to us does not contain your full NRIC number and full home address during your job application.

Responsibilities

·        Provide and coordinate nursing care to patientswho participate in research studies

·        Enforce standards of care and professional codesof conduct.

·        Ensure safety and well-being of study subjects, andall clinical trial data are reliable

·        Recognise emergency situations and assist intreatment procedures

·        Prepare research metrics and reports forsubmission

·        Perform intensive monitoring of researchsubjects in early phase clinical trials

Job requirements

·        Diploma / Bachelor’s Degree in Nursing

·        Registered nursing qualification and registeredwith Singapore Nursing Board (SNB) with valid BCLS certificate

·        At least 5 years' clinical nursing experience inClinical Trial

Interested candidates please send in your resume to:

nurse@recruitexpress.com.sg

Anthea Yeo

Outsourcing Team

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

PURPOSE OF THE ROLE

In this role, you will drive both business development andoperational excellence for our Clinical Trial Projects. Your keyresponsibilities will include:

•        Managing Requests for Information (RFIs) andRequests for Proposals (RFPs)

•        Maintaining and refining costing models

•        Overseeing contracting activities

•        Supporting capacity and resource planning

•        Conducting data analysis to enhance projectperformance

REQUIREDQUALIFICATIONS AND EXPERIENCE

•        A diploma or degree in a science orhealth-related field

•        Prior experience in early-phase clinicalresearch is preferred

Interested candidates please send in your resume to:

nurse@recruitexpress.com.sg

Anthea Lim

Outsourcing Team

Company Reg. No. 199601303W

EA Licence No. 99C4599

SUMMARY

The Marketing Executive supports planning and executing marketing initiatives to boost brand awareness, generate leads, and drive business growth by collaborating with internal teams and external vendors across multiple channels.

RESPONSIBILITIES

• Support the planning and execution of marketing campaigns across digital and offline channels to enhance brand visibility and lead generation
• Create and manage content for social media, website, email marketing, and promotional materials to support marketing objectives
• Coordinate marketing activities, events, exhibitions, and customer engagement initiatives to maximize outreach
• Monitor campaign performance and prepare detailed marketing reports to inform strategy adjustments
• Conduct market and competitor research to identify growth opportunities and support business development
• Liaise with internal stakeholders, agencies, and vendors to ensure timely delivery of marketing projects and campaigns
• Maintain brand consistency across all marketing communications to strengthen brand identity

REQUIREMENTS

• Bachelor degree in Marketing, Business, Communications, or a related discipline
• Minimum 1 to 3 years of relevant marketing experience; fresh graduates with relevant internship experience are welcome to apply
• Demonstrated understanding of digital marketing and social media platforms to effectively support campaigns
• Proficiency in Microsoft Office applications for marketing documentation and reporting
• Experience with Canva, Adobe Creative Suite, or similar design tools to create marketing visuals and materials is an advantage
• Strong communication, organizational, and multitasking skills to manage multiple projects efficiently
• Self-motivated, creative, and able to work independently to meet marketing goals

Thank you for your interest in this role and your time to apply. We regret to inform you that only shortlisted candidates will be notified.

Core responsibilities include R&D project execution, experimentation and benchmarking, development of model training strategies, and drafting of technical documentation, proposals and project scoping materials. The position entails working in a highly interdisciplinary R&D team in close collaboration with experts in NLP, LLMs, clinicians, population health, and other health ecosystem stakeholders on AI systems that have the potential to transform patient care and deliver improved health outcomes

Appointments will be based in Singapore for 3 years duration.

Qualifications and Field of Study

Qualifications

• PhD in Computer Science, Machine Learning, NLP, Biomedical Informatics, or a related field
• Strong experience in LLM pre-training and fine-tuning (CPT, SFT, DPO, RLHF-style methods)
• Experience with large-scale training frameworks (PyTorch, DeepSpeed, FSDP, HuggingFace, etc.)
• Experience handling noisy real-world clinical or biomedical text data
• Strong experimental design and benchmarking skills
• Familiarity with cloud-based GPU training environments

Desirable:

• Experience with medical reasoning LLMs
• Background in medical NLP or healthcare AI
• Publications in ML/NLP/health AI journals/conferences

Experience

2-4 years post-PhD with track record in domain deployment oriented projects in applied health or other domains, and in publishing research in leading digital health venues. Experience in healthcare, corporate or application-oriented environments desirable.

Other Requirements (e.g. Skills, Competencies)

Competencies

• Keen experience and intuition for working with large, complex real-world health datasets
• Ability to innovate with advanced NLP and FM methodologies as well as to direct prototyping for demonstrating research ideas
• Exposure to varied digital health study designs, research methods, human computer interaction frameworks, and clinical evaluation approaches
• Cross-disciplinary experience spanning clinical needs definition, clinical workflow understanding, R&D problem formulation, health or medical technology evaluations, impact evaluation and/or real-world implementation.
• Ability to work independently as well as in multidisciplinary teams with strong interpersonal skills
• Good communication skills for publications, reports and proposals.
• Quick learner; able to acquire the necessary domain knowledge
• Agility in dynamic project environments with impact-oriented mindset

Drive to keep pace with AI/LLM R&D developments, work with full stack data engineering and deployment teams for real world projects, and with healthcare ecosystem partners on clinical translational studies highly desirable.

Skills

• Experience with LLM/FM frameworks as well as NLP/LLM toolkits
• Experience with ETL processes and dataset curation for FM training, especially for large or multimodal health datasets
• Strong programming abilities, particularly in Python and Bash for LLM pipelines, clinical data preprocessing, and ETL workflows. Experience with SQL/PostgreSQL and large-scale data processing (e.g., PySpark) is advantageous.
• Strong quantitative skills including statistics, probability, machine learning, and deep learning, with the ability to design rigorous evaluation frameworks for LLM reasoning quality, trustworthiness, and clinical safety.
• Comfort with biomedical knowledge representation and model evaluation
• Comfort within cloud-based data engineering and ML environments
• Exposure to FMOps/DevOps infrastructure and pipelines for deploying AI/LLM solutions for healthcare applications 

Motivated applicants with significant AI expertise and strong programming skills who are looking to switch into domain related roles and committed to building robust and scalable approaches for national scale healthcare impact will also be considered.

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.

Job Description 

We are seeking a talented and experienced robotics scientist to join our team in advancing Embodied AI for robotics, with a strong focus on Learning from Demonstration for contact-rich manipulation and intelligent skill acquisition. The successful candidate will conduct applied R&D to develop, implement, and validate robot learning algorithms integrating motion, force/torque, and multimodal perception for real-world industrial applications. This role involves designing experimental setups, collecting and analysing demonstration data, translating research outcomes into functional prototypes, and contributing to the strategic development of Embodied AI and humanoid robotics capabilities, while working closely with multidisciplinary teams and stakeholders to drive innovation, technical excellence, and impactful deployment in advanced manufacturing environments.

Roles & Responsibilities

• Conduct applied R&D in Embodied AI for robotics, focusing on Learning from Demonstration (LfD) for contact-rich manipulation and skill acquisition.
• Design and execute experiments to collect, process, and analyse demonstration data for training intelligent robotic behaviours.
• Apply machine learning techniques, including deep-learning methods, to enhance robot control and decision-making processes, making our robots more adaptable and intelligent.
• Translate research outcomes into functional prototypes and deployable robotics solutions for industrial applications.
• Contribute to the strategic development of Embodied AI and humanoid robotics capabilities
• If applicable, leverage computer vision to improve robot perception and object recognition capabilities.
• Continuously research and implement state-of-the-art algorithms and methodologies to improve robot performance and efficiency.
• Collaborate with cross-functional teams, including hardware engineers, software developers, and researchers, to achieve project goals.
• Support stakeholder engagement and technical discussions with industry partners, providing expert input on system capabilities and limitations.

Job Requirements

• PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
• At least 5 years of experience
• Strong background in robot learning, Embodied AI, Learning from Demonstration, or related AI-driven robotics techniques.
• Knowledge of deep learning frameworks like TensorFlow and/or PyTorch.
• Proficiency in programming languages such as Python, C++
• Hands-on experience with ROS2, simulation environments (e.g. Isaac Sim), and robotic hardware platforms.
• Familiarity with industrial automation or manufacturing environments is an advantage.
• Strong communication skills to collaborate effectively with colleagues and present technical findings.
• A passion for robotics and a desire to stay updated with the latest developments in the field.
• Strong commitment to solving technical challenges in the field of robotics, approaching obstacles with a positive and determined mindset.

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.

Job Summary
As a Senior Postdoctoral Scholar, you are expected to establish a computational pipeline to achieve catalyst prediction for CO2 electrocatalytic reduction reactions.

This is a multi-step approach, where first DFT will be used to understand reactions, then explore the use of machine learning potentials towards kinetic and large length scale/time scale simulations and eventually integrate into the experimental workflow.

You will be based in at the BEARS Consortium in Singapore at CREATE and will work in a highly collaborative environment as part of the AxCIS team in Singapore, addressing challenges at the interface of materials chemistry, high-throughput synthesis, artificial intelligence, and robotic automation.

Duties & Responsibilities:

• Perform electronic structure calculations on bulk, surfaces, nanostructures as necessary.
• ⁠Develop AI/ML models to predict materials reactions using data-driven approach.
• ⁠Develop codes as necessary to assist existing and new code frameworks for advanced property prediction and analysis.
• ⁠Analyze and present results in meetings or conferences.
• ⁠Disseminate research outputs through high-impact publications, presentations, and data releases in accordance with open science practices.
• ⁠Collaborate with experimental team members, including partners in academia, industry, and national laboratories.
• ⁠Mentorship of junior team members, which can include undergraduate and graduate students.

Qualifications:

• PhD in a relevant discipline (e.g. Chemistry, Materials Science and Chemical Engineering).

Other Desired Qualifications / Experiences / Skills:

• >5 years Post-PhD experience
• Expertise in Artificial Intelligence/Machine Learning models
• Expertise in density functional theory calculations for catalysis applications

Senior Research Fellow in Computational Modelling of Smart Knitted Textiles

We seek a Senior Research Fellow (3–5 years postdoctoral experience) to join a multidisciplinary team working on computational modelling of knitted textile structures for energy harvesting applications. The postholder will develop and apply advanced modelling and data-driven methods to establish quantitative links between textile architecture and functional performance, working in close collaboration with experimental colleagues.

Key Responsibilities

• Develop and validate computational models of knitted fabric structures, capturing the mechanical behaviour of complex knit architectures under various loading conditions.
• Establish quantitative relationships between textile structural parameters — such as stitch geometry, yarn properties, and knit pattern — and functional energy harvesting performance.
• Apply data-driven and machine learning techniques to accelerate model-based design and reduce reliance on physical prototyping.
• Validate model predictions against experimental data generated by collaborating groups and work closely with fabrication teams to inform design recommendations.
• Contribute to the broader research programme through independent scholarly initiative and collaboration with partner groups.
• Lead dissemination through high-impact journal publications and conference presentations.

Requirements

• PhD in mechanical engineering, materials science, computational mechanics, or a closely related discipline.
• 3–5 years of postdoctoral research experience with a strong publication record.
• Expertise in finite element modelling; experience with textile, fibre, or soft material mechanics is highly desirable.
• Familiarity with energy harvesting mechanisms (e.g., piezoelectric, triboelectric, or thermoelectric) is an advantage.
• Experience with machine learning or data-driven modelling methods is desirable.
• Ability to work independently and provide leadership to junior researchers and graduate students within an interdisciplinary team.
• Excellent written and oral communication skills in English.

About the Position

This is a full-time, 2-year position embedded in a flagship initiative on wearable-embedded embodied AI for healthy ageing and rehabilitation. The postholder will join tripartite collaboration team spanning advanced fiber design, knitting design and advanced signal processing expertise.

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University, is a leading school for Sustainable Built Environment. The school plays an integral role in spearheading tertiary education, advancing research innovations and providing professional services in a number of key disciplines in Civil and Environmental Engineering and Maritime Studies fields, with the objective of contributing to the technological and economic advancement of Singapore and beyond. The school’s mission in research is to achieve excellence by providing a conducive and intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology.

The Senior Research Fellow will contribute to leading the development of an AI-assisted, data-driven road safety analytics framework. The role involves integrating multi-source transport datasets, developing advanced analytical and machine learning models for risk identification, and supporting the design of evidence-based interventions within a unified GIS-enabled decision-support platform.

Key Responsibilities:

• Lead and drive the overall project execution, including research direction setting, task coordination, and milestone delivery to ensure timely and high-quality outcomes.

• Provide leadership and supervision to the research team, mentoring junior researchers and coordinating collaborations with internal and external stakeholders.

• Integrate and manage multi-source transport datasets, including traffic flow, telematics, road geometry, signal timing, and incident records.

• Develop and implement advanced analytics and AI/ML models to identify road safety risks and spatio-temporal patterns.

• Design and conduct simulation experiments to evaluate proposed safety interventions and quantify their impacts.

Job Requirements:

• PhD degree in transportation engineering or related field

• At least four years of post-doctoral research experience

• Expertise in data analytics and computer programming

• Knowledge in traffic safety, urban transportation studies, traffic flow theory, operation research 

• Publication track record must be good

• Proficiency in English - essential for data analysis and communication with stakeholders

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

[Job Order ID:1601513]

Responsibilities:

• Prepare accurate and timely quotations to support sales activities and tender submissions.
• Follow up on sales orders to ensure smooth processing and high levels of customer satisfaction.
• Generate reports and maintain accurate, up-to-date databases for operational tracking and management review.
• Build and maintain positive relationships with customers to support retention and service excellence.
• Prepare documents, presentations, and spreadsheets using Microsoft Office to support sales and marketing activities.
• Collaborate with internal teams to achieve shared objectives and meet operational deliverables.
• Manage administrative tasks with a high level of organisation and attention to detail.
• Support sales and inventory processes using SAP, SAGE, or other ERP systems, where applicable.

Requirements:

• At least 3 years of relevant experience in sales support, order management, or business operations.
• Experience in the scientific or medical equipment, devices, or consumables industry is an added advantage.
• Strong communication skills with proficiency in spoken and written English for liaising with English-speaking clients and stakeholders.
• Proficient in Microsoft Office applications, including Word, Excel, and PowerPoint.
• Meticulous, well-organised, and detail-oriented with strong administrative capabilities.
• Positive, proactive attitude with a willingness to learn and grow.
• Familiarity with SAP or other ERP systems is an added advantage.
• Team-oriented individual with the ability to collaborate effectively across departments.

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities.

Please kindly refer to the Privacy Policy of Good Job Creations for your reference: https://goodjobcreations.com.sg/en/privacy-policy/

EA Personnel Name: Marcus koo JunJie

EA Personnel Registration Number: R26160924

EA License No.: 07C5771

Responsibilities

·        Provide and coordinate nursing care to patientswho participate in research studies

·        Enforce standards of care and professional codesof conduct.

·        Ensure safety and well-being of study subjects,and all clinical trial data are reliable

·        Recognise emergency situations and assist intreatment procedures

·        Prepare research metrics and reports forsubmission

·        Perform intensive monitoring of researchsubjects in early phase clinical trials

Job requirements

·        Diploma / Bachelor’s Degree in Nursing

·        Registered nursing qualification and registeredwith Singapore Nursing Board (SNB) with valid BCLS certificate

·        At least 5 years' clinical nursing experience inClinical Trial

Interested candidates please send in your resume to:

nurse@recruitexpress.com.sg

Anthea Yeo

Outsourcing Team

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

Job Overview

We are seeking a highly skilled and experienced Senior Material Science Engineer to join our innovative team. In this pivotal role, you will be responsible for driving research and development efforts in materials science, with a primary focus on FEM Analysis & Structural Mapping. As a Senior Material Science Engineer, you will play a crucial role in advancing our product capabilities and ensuring the application of cutting-edge science and technology.

Your primary focus will be on FEM Analysis & Structural Mapping, helping us evaluate material performance to ensure precision in our non-destructive testing solutions. This is an opportunity to apply cutting-edge science to real-world infrastructure challenges.

Key Responsibilities

• Simulation & Analysis: Utilize FEM Analysis and Structural Mapping to evaluate material behaviors and improve performance, ensuring high precision and efficiency in our project outcomes.

• R&D Leadership: Lead and conduct advanced materials research projects, driving them from conception to implementation.

• Product Integration: Collaborate with cross-functional engineering teams (Optical, Software) to apply your material science innovations directly to our product development.

• Technical Communication: Prepare detailed technical reports and present findings to stakeholders to guide engineering decisions.

• Mentorship: Mentor and guide junior scientists and team members in material science methodologies, fostering a culture of technical excellence.

• Continuous Learning: Stay updated with the latest advancements in materials science and integrate relevant technologies into our R&D processes.

Requirements

• Education: PhD or Master’s degree in Mechanical Engineering, Material Science, Applied Physics, or a related field.

• Experience: Minimum 5+ years in Numerical Analysis and Finite Element Method (FEM).

• Technical Expertise:

    ◦ Deep proficiency in Multi-physics simulation (Vibration, Acoustics, and Structural Mechanics).

    ◦ Experience with Linear and Non-linear Dynamics, including Transient Analysis.

    ◦ Familiarity with ASME BPVC Section VIII (Design by Analysis) or API 579 (Fitness-for-Service) is a strong advantage.

• Software Skills: Advanced proficiency in ANSYS Mechanical, COMSOL Multiphysics, or Abaqus AND a strong interest or experience in open-source solvers (CalculiX, Code_Aster, or FEniCS).

• Programming: Strong Python skills for data science and solver integration.

• Problem Solving: Ability to correlate simulation results with experimental test data (Model Validation).

Benefits and Opportunities

We offer a dynamic work environment that fosters innovation and collaboration. As a member of our team, you will have the opportunity to work on cutting-edge projects that push the boundaries of materials science, including FEM analysis and structural mapping. We provide competitive compensation packages, opportunities for professional growth, and a supportive community of experts in the field. Join us to advance your career and contribute to impactful scientific endeavors.

Job Description

• Conduct online research on prospective donors using public sources to help identify and assess new individuals and corporates who could donate, and help compile, proof, and edit in-depth profiles/reports on potential and existing donors for colleagues in the team.

• Input up-to-date research findings and prospect data into client's donor database in line with department’s data processes and standards. 

• Help prepare larger data sets for data-analytics within the department.

• Other database and research admin connected to prospects and donors. 

Requirements

• Minimum A-Levels/Diploma qualification 

• Possess experience working on databases and reviewing, analysing, and collating quantitative data or qualitative information from public sources. 

• Possess some research experience and skills (e.g. academic/study research, market research, fundraising research), to be able to review and analyse publicly available data (e.g. financials, philanthropic interests, and biographical information) and compile findings in a clear and concise manner.

• Good written communication skills and ability to produce quality profiles/reports to deadline.  

• Knowledge of MS Office applications including MS Excel and Word. 

• Ability to work independently or in a team and manage multiple tasks simultaneously.

• Demonstrate resourcefulness and flexibility.   

Contract duration: 6 months (renewable, subject to performance) 

Working Hours

• Mon – Thurs: 8.30 am – 5.45 pm
• Fri: 8.30 am – 5.15 pm
• Work-From-Home arrangement: One day per week week  

Salary: $2,600 - $3,000 per month

EA License No.: 96C4864 (Shanice Lim Xin Ni)

Reg. No.: R22110485