Total 58 Senior Executive level Science / R&D / Research job vacancies in BUKIT PASIR

The Signature Research Programme in Health Services Research and Population Health is looking for candidates with either undergraduate or masters training in economics or related disciplines to support our growing portfolio of econometric / statistical analysis and decision analytic modelling projects.

Job Description

This position will report directly to Senior Health Economists in the Health Economic Evaluation Lab and offers an excellent opportunity to develop and refine in demand skills in applied health economics and to be co-author on publications. Successful candidates will assist with high value health economic research endeavours and perform a variety of functions, such as:

• Execute econometric and other statistical analyses.
• Build decision trees, markov and micro-simulation models for use in cost effectiveness analyses.
• Conduct literature reviews.
• Prepare sections of surveys, analysis plans, manuscripts, reports and grant proposals with a goal toward producing high quality research outputs.
• Act as a Teaching Assistant for the Health Economic Evaluation Graduate Certificate Program.
• Perform other related duties assigned by the Principal Investigators in support of these efforts.

Job Requirements

• Bachelor’s Degree / Master’s Degree in Economics, Health Economics or other related disciplines.
• Prior research experience in Cost Effectiveness modelling and Econometrics is highly desirable.
• Have experience in quantitative data and statistical analyses (preferably with health-economic data) with modelling packages such as R or STATA.
• Proficient with Microsoft Office Suite and AI tools.
• Possess strong verbal and written communication skills in English.
• Able to multi-task and work productively in teams.

We regret that only shortlisted candidates will be notified.

Project Overview

This project aims to develop a real-time blood analysis and diagnostic platform using an integrated microfluidic chip. This platform uses precision microfluidic technology to process and profile the biological activity of white blood cells which is related to a host of inflammatory conditions ranging from diabetes, sepsis to leukemia. The platform developed will enable point-of-care diagnosis of diseases and this project will accelerate the platform from bench to bedside through the development, deployment and testing of clinical samples.

This Engineering position offers a rare opportunity to bridge the gap between laboratory discovery of new technologies and real-world implementation of clinical deployment and testing. 

Responsibilities

The engineer is responsible for the design, prototype, manufacturing and testing of the medical device. This involves the use of with computer-aided design prototyping, setting specifications and assembly of mechnical/electrical components, testing and deployment of device for field testing.

Responsibilties include:

- To work closely with a team of clinical, mechanical/software engineers and data scientist for the medical device design and prototyping. Gather feedbacks on prototype designs by end-users.

- To Validate designs by analysing data gathered from component or system level testing. Use benchmarking techniques to characterise component and device performance.

- To ensure proper documentation of design history files and standardization of data storage for reports, presentations, technical and administrative documents.

- To source for vendors and components to ensure manufacturability and cost of medical device.

- To support the team for maintenance of equipment, inventory and purchases.

Requirements

- Bachelors/Masters in Mechanical, Electrical, Biomedical Engineering with at least 1 years of experience in hardware prototyping and/or microfluidic operations.

- Rapid prototyping experience in areas such as 3D printing, laser cutting, CNC, injection molding, microcontroller/microprocessor programming and relevant skills in embedded system.

- Prefered experience in commercial manufacturing, R&D project management and hardware testing/certification.

- Excellent debugging skills and strong ability to root cause, isolate and solve software/hardware system issues.

- Fluent in C++, Python (3.X) and relavent coding languages for software-hardware integration.

- A desire to deliver a quality and innovative medical diagnostic product that improves many people’s lives.

- Good communication and managing skills are important to work with colleagues efficiently in addition to creativity to solve problems and find improvements on products and processes already in place.

- Required experience and knowlegde to read or write scientific publications, patent search, schematics and data sheets for hardware components.

- Able and commited to work in Singapore. Willing to commute and meet regularly with vendors and collaborators at NUS, NUH, and partnering hospitals.

- Strong documentation and writing skills

- A desire to deliver a quality and innovative medical diagnostic product that improves many people’s lives.

Relevant Skills

2D/3D Computer Aided Designs, C++, Python, Operating CNC/3D printers, basic use of machine tools, electronics circuit design, Github 

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

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

The Centre of Excellence in Maritime Safety (CEMS) is a national R&D centre, a collaborative effort between Singapore Polytechnic and the Singapore Maritime Institute. We focus on developing innovative digital solutions and training systems to enhance maritime safety. Our state-of-the-art research facilities, including South-east Asia's first navigation research simulator, setting us as an innovation champion.

About the Role

The appointee will be part of the CEMS AI & Software team in developing digital solutions to enhance simulator training and assessment, innovate in training pedagogy for the maritime industry. The role may also involve contributing to department- and school-level software initiatives that support digitalisation and automation across R&D, operations, and education.

Responsibilities:

• Lead projects and provide technical contributions across the full software development lifecycle (SDLC), including requirements gathering with industry partners and internal stakeholders.

• Work closely with the AI team at CEMS to deploy and integrate AI solutions—such as Natural Language Processing, computer vision, and data analytics —into simulation platforms to enhance training and assessment capabilities.

• Collaborate with third-party simulator technology and solution providers to design and develop reusable code libraries and scalable APIs for integration and interoperability.

• Drive improvements to existing software systems by identifying performance bottlenecks, refactoring codebases, and enhancing maintainability and scalability.

• Contribute to the conceptualization, proposal development, and implementation of new research and development projects aligned with CEMS’s strategic objectives.

• Guide junior software engineers and student interns in software development best practices, code quality, and project execution.

• Prepare and deliver regular project updates and technical presentations for CEMS Governing Board and senior management meetings.
  

  Requirements:

  • Relevant qualifications in Computer Science, Computer Engineering, or a related field.

  • Relevant experience in the following areas: Production-grade software development, Backend and/or frontend application development, RESTful API design and implementation using modern frameworks (e.g., ASP.NET Core, Spring Boot, Django, Express.js)

  • Strong programming skills in one or more modern languages (e.g., C#, C++, Java, Python), with the ability to quickly learn new technologies and frameworks.

  • Experience working with relational and non-relational databases (e.g., MySQL, Oracle, MongoDB).

  • Good understanding of object-oriented design, software design patterns, and CI/CD practices.

  • Familiarity with version control systems (e.g., Git, GitLab).

  • Hands-on experience with containerization tools such as Docker.

  • Ability to build quick prototypes, tools, or scripts to support development or testing.

  • Strong interpersonal, verbal, and written communication skills; effective in collaborative and fast-paced environments.

  • Experience with end-to-end AI solution implementation using frameworks such as TensorFlow or PyTorch is a plus.

We are looking for highly motivated and talented researchers to join our interdisciplinary team working on advanced modelling of complex large-scale urban systems, with a particular focus on land use, transport, and the built environment.

This role will involve developing, applying, and refining computational models to better understand urban dynamics, including how land use and transportation interact with the physical, social, and economic environment.

They will work with a collaborative and interdisciplinary team of scientists and engineers that have a passion in understanding the dynamics of large-scale socio-technical systems such as urban transportation (either land, air and/or sea) as well as the relationship between the built environment and social outcomes (such as health or behavioural outcomes across different population segments).

Shortlisted candidates would have the opportunity to work with various external collaborators, either from government and/or industry and work on high-impact real-world research problems, in which they will apply various computational tools such as modelling and simulation and AI to derive insights that can inform urban policy and planning.

Requirements

• Ph.D in Physics, Engineering, Data Science, Geography, or related fields

• Proficiency in Python or R with experience in geospatial and/or statistical packages

• Relevant research/project experience in either of these fields:

o Spatial analysis / Geospatial information system (GIS)

o Transportation and urban systems

o Agent-based modelling / network analysis

• Demonstrated experience in applying geospatial and/or statistical analysis or other relevant analytics tools on real urban problems would be highly desirable

• Experience working on large scale real-world datasets as well as knowledge of social dimension in urban planning would also be a plus

• Good written and verbal communication skills

• Ability to work effectively in an interdisciplinary research environment both individually as well as in a team, with a strong interest in collaborative research and policy impact

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-Fellow-%28%C2%B9%E2%81%B7%E2%81%B6Lu%E2%81%BA-Optical-Clock-Laboratory%29/33440-en_GB/

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 https://www.cqt.sg/

Job Description

The Barrett group at CQT is the world's leading laboratory developing ¹⁷⁶Lu⁺  as an optical clock species. Lutetium-176 offers exceptionally low sensitivity to blackbody radiation shifts and a highly favourable systematic
uncertainty budget, making it a compelling candidate for next-generation optical timekeeping. Our programme isactively pushing towards multi-ion clock architectures — including linear ion crystals and multiplexed trap arrays —to surpass the quantum projection noise limits of single-ion operation and achieve unprecedented clock stability atshort averaging times. A key aim of the programme is to translate this technology into a commercialisable turnkeysystem for deployment at Singapore's National Metrology Centre (NMC).

We are seeking an exceptional Senior Scientist to lead experimental research within our ¹⁷⁶Lu⁺ optical clockprogramme at the Centre for Quantum Technologies (CQT), Singapore. This is a senior individual-contributor
position at the cutting edge of precision quantum metrology, with direct impact on international timekeeping,tests of fundamental physics, and Singapore's national measurement infrastructure.The successful candidate will drive original research, take ownership of key experimental subsystems, mentor junior researchers and graduate students, engage with industry and national metrology partners, and contribute to the long-term scientific and translational roadmap of the laboratory.

Key Responsibilities

• Lead the design, development, and operation of ion trap systems for ¹⁷⁶Lu⁺, including the engineering of novel trap geometries suited to multi-ion clock operation..
• Drive the experimental realisation of multi-ion clock configurations: ion crystal preparation, laser cooling, and correlated interrogation schemes for stability beyond the standard quantum limit.
• Develop and maintain ultra-stable laser systems and optical frequency infrastructure, including cavity-stabilised clock lasers and optical frequency combs.
• Contribute to optical frequency comparison and dissemination capabilities, including fibre-link and satellite-based clock comparisons.
• Work closely with local industry and metrology partners to develop a commercialisable turnkey ¹⁷⁶Lu⁺ clock system suitable for implementation at the A*STAR National Metrology Centre (NMC).
• Mentor postdoctoral researchers and PhD students; contribute to grant applications, scientific reporting, and laboratory operations.

Required Qualifications

• PhD in Physics with specialisation in AMO physics, precision metrology, or quantum information science.
• Demonstrated track record of high-impact independent experimental research evidenced by peer-reviewed publications.
• Hands-on expertise in ion trapping: rf Paul traps, trap fabrication or characterisation, micromotion compensation, and laser cooling of atomic ions.
• Proficiency with ultra-stable laser systems: cavity-stabilised lasers, laser locking, optical frequency chains, and electro-optic/acousto-optic control.
• Strong experimental skills in ultra-high vacuum technology, optical design, and precision rf and digital electronics.
• Excellent written and oral communication skills with the ability to present complex results to both specialist and general audiences.

Preferred Experience

Cryogenic ion traps

Experience operating ion traps at 4 K or below, including pulse-tube or dilution refrigerator integrationand cryogenic rf delivery.

Multi-ion architectures

Ion crystal formation and control, mixed-species crystal operation, or multiplexed trap-array design and characterisation.

Optical frequency metrology

Optical frequency comb operation, absolute frequency measurement, or fibre-based optical clock comparison and dissemination.

Experimental automation

Python-based experiment control, FPGA or ARTIQ sequencing, and real-time digital feedback for clock servo loops.

Additional Information

What we offer:

• Competitive, commensurate with experience.
• Dedicated equipment & travel allowance.
• World-class research hub at the NUS campus in Singapore.

To apply, please submit a CV, a research statement describing your relevant expertise and vision for the Lu+ clock programme (max 2 pages), and the names of three referees. Applications are reviewed on a rolling basis — early submission is encouraged. Inquiries should be directed to Prof. Murray Barrett at phybmd@nus.edu.sg

You will be part of the research team under the Heart Protection theme at the National Heart Research Institute of Singapore (NHRIS), National Heart Centre of Singapore (NHCS), dedicated to developing innovative strategies to prevent and treat heart injury. Our multidisciplinary group integrates cardiovascular biology, nanotechnology, drug delivery, disease modelling, and translational science, collaborating closely with clinicians, engineers, and scientists across NHCS and Duke–NUS to accelerate the development of therapies from bench to bedside. Our team culture values rigour, teamwork, innovation, and translational impact, offering a dynamic environment for scientific growth.

You will support ongoing research projects in therapeutic development and contribute to a range of molecular experiments and formulation work, including RNA synthesis, modification, and purification, as well as the preparation and optimisation oflipid nanoparticles (LNPs) and other delivery formulations. You will also conduct in vitro assays encompassing cell culture, molecular analysis, and characterisation, alongside in vivo validation work.

Beyond experimental responsibilities, you will maintain accurate laboratory records and ensure proper documentation throughout. You will support general lab operations — including reagent preparation, equipment maintenance, and purchasing — while working collaboratively as part of a multidisciplinary team.

Jobrequirements:

• Bachelor’s degree in chemistry/ Materials Science, Molecular Biology, Biomedical Science, or related fields

• At least 2 years’ experience either in RNA therapeutics/ RNA synthesis/ RNA biology, or in Chemical synthesis/ LNP delivery

• Strong hands-on laboratory skills and experimental troubleshooting ability

• Good communication and organisational skills

• Documented proof of:

(i) Measles (or MMR - Mumps, Measles and Rubella) vaccination or serological evidence of measles immunity; and

(ii) Tdap (Tetanus, Diphtheria and Pertussis) vaccination received within the last 10 years, as required for all healthcare workers under the Healthcare Services Act. Applicants without these vaccinations may apply if they commit to completing the required vaccination(s) before work commencement, upon successful job offer.

Job Description

The AI Research Scientist will contribute to clinical foundation model workstream for primary-care decision support. The role will focus on adapting open and/or institutionally approved foundation models to Singapore primary-care use cases, such as hypertension and cardiometabolic-renal multimorbidity scenarios involving diabetes, dyslipidaemia, CKD risk, medication burden, preventive care and follow-up planning.

The scientist will prepare structured training and evaluation data from clinical vignettes, synthetic cases, guideline-grounded Q&A, and eHINTS-like longitudinal data extracts where available. The role will support supervised fine-tuning, reinforcement learning or preference alignment experiments, and model evaluation against clinical templates, guideline compliance, safety constraints and usability requirements.

Key Responsibilities

• Prepare model-ready datasets from clinical vignettes, synthetic consultation cases, longitudinal records and guideline-derived tasks.
• Develop and run fine-tuning, instruction-tuning, preference-alignment and/or retrieval-augmented generation experiments for GP-oriented clinical tasks.
• Implement evaluation scripts for guideline adherence, factuality, safety alerts, medication recommendations, missing-data handling and structured output quality.
• Support multimodal and longitudinal data modelling where patient histories, lab trends, medications, notes and care plans need to be represented over time.
• Work with clinical collaborators to translate hypertension and multimorbidity requirements into model tasks, prompts, labels and acceptance criteria.
• Document experiments, datasets, model cards, limitations and reproducibility steps for internal review.

Required Qualifications and Skills

• PhD Degree in computer science, AI, biomedical informatics, computational science, data science or a related quantitative field.
• Hands-on experience with Python and modern deep-learning frameworks such as PyTorch, Hugging Face Transformers, vLLM or equivalent.
• Working knowledge of LLM fine-tuning, prompt engineering, retrieval-augmented generation, evaluation pipelines and reproducible ML experimentation.
• Ability to process structured and unstructured clinical data safely, including tabular records, notes, medications, lab values and guideline documents.
• Good understanding of model evaluation, error analysis, data quality control and responsible AI practices in healthcare or other high-stakes domains.

Preferred Experience

• Experience with clinical NLP, medical LLMs, healthcare datasets, FHIR/EMR-style data, or guideline-based decision support.
• Experience building synthetic data, simulation-based cases, or benchmark datasets for healthcare AI.
• Familiarity with primary-care chronic disease management, especially hypertension, diabetes, lipids, CKD risk and medication safety.
• Experience with GPU-based model training, experiment tracking, and deployment-oriented inference optimization. 

Job Summary

About Us

At the Institute of High Performance Computing (IHPC), A*STAR, we drive innovation at the intersection of artificial intelligence and healthcare. Our mission is to build large language models (LLMs), agentic AI and multimodal foundation models that can transform clinical decision support, biomedical discovery, and public health. We are looking for AI (Senior)Scientist strong applied AI skills ready to build large-scale systems, and you will contribute to innovations that make real impact in healthcare.

Key Responsibilities

• Research & DevelopmentDevelop novel architectures, training strategies, and optimization methods for LLMs, agentic AI, vision foundation model and multimodal foundation models.Advance instruction tuning, reinforcement learning (RLHF/GRPO), retrieval-augmented generation (RAG), and knowledge-grounded reasoning in medical AI.Design and implement multimodal learning pipelines that integrate text, imaging, omics, and real-world clinical data.
• Translation & CollaborationPrototype AI systems for clinical and biomedical applications (e.g., decision support, conversational AI, population health, drug discovery).Benchmark models against state-of-the-art healthcare AI datasets and evaluation frameworks.Collaborate with industry and healthcare partners to enable translation, licensing, and commercialization.
• Scientific LeadershipPublish in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, AAAI, ACL) and high-impact biomedical journals (e.g., Nature Medicine).Contribute to open science initiatives (datasets, model releases, benchmarks).Secure funding through collaborative research proposals with academia, healthcare institutions, and industry.

Qualifications

Minimum Qualifications

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
• Strong publication record in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL) or high-impact biomedical journals.
• Deep expertise in LLMs, vision foundation models, or multimodal AI.
• Strong skills in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed/HPC training.

Preferred Qualifications

• Experience in large-scale LLM and/or foundation model training and deployment.
• Experience with medical or biomedical data (EHR, clinical notes, imaging, genomics).
• Familiarity with biomedical ontologies and knowledge graphs (UMLS, SNOMED CT, PubMed).
• Understanding of AI ethics, safety, and regulatory considerations in healthcare.

What We Offer

• Opportunity to push the frontiers of AI research while delivering real-world healthcare impact.
• A multidisciplinary environment with leading AI scientists, clinicians, and industry partners.
• Access to large-scale compute resources and unique biomedical datasets.
• Support for publications, conference participation, and translational pathways including licensing and spin-offs.

Job Summary

About the Role

The Institute of High Performance Computing (IHPC), A*STAR, is seeking a highly motivated Senior Research Scientist to conduct cutting-edge research in Artificial Intelligence and Machine Learning, with a focus on advancing AI-driven scientific discovery across healthcare, life sciences, biology, and biomedical research.

The successful candidate will lead the development of next-generation AI technologies, including foundation models, multimodal learning systems, scientific machine learning, generative AI, and agentic AI systems that accelerate scientific discovery and translate research innovations into real-world impact.

Key Responsibilities

Research & Innovation

• Develop AI models and platforms that accelerate discovery in healthcare, life sciences, and biomedical research.
• Advance foundation models that learn from large-scale biological, clinical, molecular, and scientific datasets.
• Develop AI systems for:
• Multi-omics analysis
• Drug discovery and therapeutic development
• Precision medicine
• Biomarker discovery
• Disease prediction and prognosis
• Scientific knowledge extraction and reasoning
• Build agentic AI systems capable of hypothesis generation, experiment design, scientific reasoning, and autonomous discovery.
• Develop methodologies that integrate experimental data, simulations, scientific literature, and domain knowledge to support scientific decision-making and discovery.

• Collaborate with clinicians, biologists, healthcare researchers, and domain scientists to translate AI innovations into real-world applications.
• Drive the development of reusable AI platforms, foundation models, and scientific discovery systems.
• Contribute to technology transfer, intellectual property generation, and commercialization opportunities.
• Lead collaborations with academic institutions, healthcare organizations, government agencies, and industry partners.

Scientific Leadership

• Publish high-impact research in leading AI, machine learning, healthcare, and scientific journals and conferences.
• Contribute to grant proposals, project planning, and strategic research initiatives.
• Mentor junior researchers, engineers, and students.
• Represent IHPC in collaborations with academic, healthcare, government, and industry partners.

Requirements

Essential

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Computational Biology, Biomedical Engineering, Computer Engineering, or a related discipline.
• Strong track record in AI/ML research demonstrated through publications, patents, or impactful projects.
• Strong programming skills in Python and modern machine learning frameworks such as PyTorch or TensorFlow.
• Experience developing and evaluating machine learning and deep learning models.
• Experience working with large-scale datasets and computational infrastructure.
• Strong interest in applying AI to scientific discovery, healthcare, and life science challenges.

Preferred

• Experience in one or more of the following areas:Foundation Models for ScienceComputational Biology and Multi-OmicsDrug Discovery and Molecular ModelingBiomedical AIPrecision MedicineScientific Knowledge GraphsScientific Reasoning and Agentic AI SystemsHealthcare AI and Clinical Decision SupportGenerative AI for Scientific Discovery

What We Offer

• Opportunity to work on nationally significant AI for Science, Healthcare, and Life Sciences initiatives.
• Access to world-class computational infrastructure, large-scale scientific datasets, and advanced research facilities.
• Collaboration with leading AI researchers, clinicians, scientists, and industry partners.
• A dynamic environment supporting both fundamental AI research and translational impact.
• Opportunities to shape the future of AI-driven scientific discovery and healthcare innovation.

Chugai Pharmabody Research Pte. Ltd. (“CPR”) was established in Singapore as a wholly-owned subsidiary of Chugai Pharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 and started operations on July 2, 2012. Located at Biopolis in Singapore, we are committed to improve global heath through cutting- edge science and a passion of excellence. We continuously aim to generate new antibody drugs based on Chugai’s proprietary antibody engineering technologies, such as recyclingantibody®, sweeping antibody®, bispecific antibody to address unmet medicalneeds and deliver innovative therapeutics to patients globally.

Position – Senior Scientist in Pharmacology Unit

CPR is seeking a highly motivated and scientifically rigorous Pharmacologist who is passionate about generating innovative ideas and translating disease biology into impactful therapeutics for patients with unmet medical needs.

You bring strong expertise in both in vitro and in vivo pharmacology to drive target validation and antibody-based drug discovery. Reporting to the Research Manager, you will lead defined studies and workstreams and participate in cross-functional discussions to advance projects across the discovery pipeline.

Key Responsibilities:

·      Design, plan, and oversee in vitro and/or in vivo pharmacology studies to assess efficacy, establish mechanism of action.

·      Develop and optimize screening strategies and functional assays for antibody programs.

·      Analyze, interpret, and clearly communicate data; deliver reports and presentations to inform project decisions and go/no-go milestones.

·      Mentor junior scientists/research associates; foster scientific rigor and a collaborative culture.

·      Propose innovative hypotheses and new project concepts

·      Prepare scientific publications and patent applications in collaboration with cross-functional teams

Required Qualifications:

·       Ph.D. in Pharmacology, Life Sciences, or a related scientific field with 0 – 3+ years of relevant industry or research experience, preferably in a pharmaceutical or biomedical research environment

·      Strong foundation in molecular and cell biology, demonstrated through research outputs (e.g., presentations or peer-reviewed publications)

·      Hands-on expertise designing, planning, and analyzing in vitro and/or in vivo pharmacology studies

·       Strong critical thinking and problem-solving skills with the ability to interpret complex datasets and generate actionable insights.

·      Effective communication and collaboration skills, with the ability to contribute to project outcomes in cross-functional teams

Preferred Qualifications:

·      Post‑PhD industry or postdoctoral experience in drug discovery with demonstrated contributions to target validation, screening strategy, or lead identification.

·      Experience independently driving in vitro and/or in vivo studies; track record of delivering decision‑enabling data(e.g., internal milestones, publications, or patents).

·       Experience in translational pharmacology, including linking mechanistic findings to disease-relevant models

·       Experience working in cross-functional drug discovery teams (e.g., biology, antibody engineering, DMPK)

For more information regarding our Company, you may refer to our website at: http://chugai-pharmabody.com/

We regret that only short-listed candidates will be notified

Job Summary

Role Overview

You will partner with senior leadership to shape, execute, and communicate the institute’s strategic direction. Reporting to Senior Director, Strategy, you will play a central role in strategic planning, research portfolio development, and market and technology sensing — translating big-picture priorities into actionable plans that drive real outcomes.

Key Responsibilities

• Develop the institute’s overall strategy, including vision, priorities, research focus areas, and long-term growth plans.
• Lead the creation and refresh of strategy documents, annual workplans, research roadmaps, and implementation plans.
• Translate strategic priorities into programmes, milestones, KPIs, resource plans, and cross-functional workstreams.
• Oversee the planning cycle, including leadership offsites, strategy retreats, and annual planning sessions.
• Engage internal and external stakeholders to drive strategic alignment and collaboration.
• Build and lead a high-performance, engaged, multi-disciplinary team.

Requirements

• Advanced degree in science, engineering, technology, business, public policy, or a related field; PhD, MBA, or equivalent experience is advantageous.
• Significant experience in strategy, corporate planning, research management, consulting, or public-sector planning.
• Strong ability to translate complex scientific, organisational, and policy issues into clear priorities, workplans, and executive recommendations.
• Excellent stakeholder management and communication skills, with experience engaging senior leaders, research teams, and external partners.

Career Growth & Impact

• Shape national R&D priorities. You will directly influence how one of Asia’s leading public research organisations invests in science and technology — from AI and sustainability to advanced manufacturing.
• Work at the leadership table. You will partner with institute directors, government agencies, and ecosystem leaders, building a high-level network across Singapore’s innovation landscape.
• See your strategy come to life. Unlike advisory roles, you will own the end-to-end journey from strategy formulation to execution — roadmaps, KPIs, resource plans, and cross-team delivery.
• Grow into senior leadership. This role is a launchpad into senior R&D leadership, national science policy, or C-suite strategy positions.

Job Summary

About the Role

The Institute of High Performance Computing (IHPC), A*STAR, is seeking an outstanding Senior Research Scientist to lead cutting-edge research in Artificial Intelligence, Computer Vision, Vision-Language Models (VLMs), Multimodal AI, and Agentic AI Systems.

The successful candidate will drive the development of next-generation AI technologies for healthcare, biomedical, and scientific applications, translating fundamental AI advances into impactful real-world solutions.

Key Responsibilities

Research & Innovation

• Lead and conduct high-impact research in Artificial Intelligence, Machine Learning, and Computer Vision.
• Develop novel algorithms and models in areas such as:
• Multimodal Learning
• Foundation Models
• Generative AI and Large Language Models
• Computer Vision
• Agentic AI Systems
• Design scalable AI systems capable of integrating heterogeneous data sources, including imaging, sensor, text, and clinical data.
• Develop methodologies for prediction, reasoning, decision support, and knowledge discovery.

Translational AI

• Drive the development of reusable AI platforms, foundation models, and intelligent agent systems.
• Translate AI innovations into healthcare, biomedical, and scientific applications.
•  Lead collaborations with clinicians, scientists, academic institutions, government agencies, and industry partners.
• Contribute to technology transfer, intellectual property generation, and commercialization opportunities.

Scientific Leadership

• Publish high-quality research in leading AI, machine learning, and application-domain conferences and journals.
• Contribute to grant proposals, project planning, and intellectual property development.
• Mentor junior researchers, engineers, and students.
• Represent IHPC in collaborations with academic, clinical, government, and industry partners.

Requirements

Essential

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Biomedical Engineering, or a related discipline.
• Strong track record in AI/ML research demonstrated through publications, patents, or impactful projects.
• Strong programming skills in Python and modern machine learning frameworks such as PyTorch or TensorFlow.
• Experience developing and evaluating machine learning and deep learning models.

What We Offer

• Opportunity to work on nationally significant AI initiatives.
• Access to world-class computational infrastructure and research facilities.
• Collaboration with leading researchers, clinicians, scientists, and industry partners.
• A dynamic environment supporting both fundamental AI research and real-world translation.

About NATi

The Nucleic Acid Therapeutics Initiative (NATi), hosted by A*STAR, is Singapore's national platform dedicated to advancing RNA-based medicines and revolutionising drug and vaccine development. NATi's mission is to establish Singapore as a globally recognised hub of excellence in nucleic acid therapeutics research, clinical translation, and commercialisation.

NATi focuses on key RNA modalities such as antisense oligonucleotides (ASOs), small interfering RNA (siRNA), and messenger RNA (mRNA). To drive this vision, NATi is building a biotech-like translational engine focused on asset and technology development spanning discovery to clinical development.

We are actively seeking passionate and committed RNA scientists with deep translational expertise to join us in advancing the next generation of RNA-based therapeutics.


Position Overview

The Scientist / Senior Scientist (Infectious Diseases), Vaccines & Immunotherapeutics will develop mRNA immunotherapies across multiple therapeutic programs. This role is important in NATi"s development of immunotherapy candidates from discovery/pre-clinical to IND-enabling stages. The successful candidate will have prior experience and proven track record in the academic or biotech laboratory settings.

Key Responsibilities

• Support and execute the Vaccines R&D strategy in a creative, innovative manner. 
• Develop and optimise laboratory methods for characterisation of the different RNA therapeutic modalities (e.g., mRNA, circRNA, saRNA, gRNA), focusing on protein translation and stability. 
• Design and conduct in vitro assays to assess vaccine-specific responses and identify and quantify cellular targets and efficacy readouts for infectious diseases.
• Stay current with immunology, vaccinology literature and emerging platforms and provide scientific expertise in the areas of cellular and humoral immune responses to vaccines.
• Independently write protocols, procedures and develop and maintain SOPs to ensure reproducibility, compliance, and readiness for IND submission, contribute to CMC documentation. 
• Prepare technical reports, presentations, and documentation to support internal decision-making and external regulatory submissions. Communicate results orally or written, internally or externally. 
• Train and mentor junior lab personnel.
• Collaborate with scientists across multiple functions.
• Maintain accurate records using LIMS/ELN systems to support data integrity and reproducibility.
• Support tech transfer activities to external CDMOs, including preparation of reports, training, and troubleshooting support.

Qualifications & Experience

• PhD in Immunology or a related field with minimum of 8+ years of experience. Industry experience preferred.
• Detailed knowledge in immunology and cellular biology, mechanisms underlying autoimmune, allergy and inflammatory diseases with deep expertise in T-cell function and with emphasis on cytokine signalling, tolerance mechanisms, and immunopathology. 
• Proven proficiency in immunophenotyping, particularly extensive hands-on experience with multi-color flow cytometry including panel design, staining fluency, compensation, and data analysis/interpretation.
• Strong record of accomplishment in advancing immunology-focused therapeutics and leading translational/biomarker initiatives.
• Proven ability to develop, validate and troubleshoot assays.
• Ability to work independently and collaboratively in a cross-functional, fast-paced multidisciplinary environment to effectively deliver results within reasonably established timelines.
• Knowledge and experience with in vivo models.
• Expertise developing mRNA-LNP therapeutics is highly desirable.
• Ability to work well with CROs.

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.

About Company

Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain platform.

XG Tech focuses on the intelligent cockpit—the next frontier of differentiation—while seamlessly integrating advanced driving systems. By reimagining cars as mobile living spaces, XG Tech aligns with the evolving trend of vehicles becoming the “third living space.”

Role Summary

As an R&D Engineer (Multimodal AI Agents), you will lead the development of next-generation AI agents capable of perceiving, reasoning, and acting within real-world graphical user interfaces. You will work at the intersection of Computer Vision, Natural Language Processing, and Reinforcement Learning to transform cutting-edge research into scalable, production-ready systems for Android and cross-platform environments.

Key Responsibilities

• Design, train, and optimize Large Multimodal Models (LMMs) for GUI understanding, including screen parsing, grounding, and action prediction
• Build end-to-end agent pipelines covering perception, planning, reasoning, and execution loops across dynamic UI environments
• Track, reproduce, and improve cutting-edge research in GUI agents (e.g., DroidRun, Surfer, AutoGLM) and adapt them to real-world use cases
• Develop robust evaluation frameworks to measure agent performance, reliability, and safety in complex software environments
• Translate research concepts into working prototypes and production-ready systems with strong engineering rigor
• Contribute to patents, technical publications, and internal knowledge building aligned with company innovation goals

How will you stand out:

• Master’s or PhD in Computer Science, Artificial Intelligence, Robotics, or a related field
• Demonstrated research or technical impact through publications, open-source contributions, or significant projects -- (Please include a link to your Google Scholar profile or portfolio in your application)
• Proficiency in Python, with experience in large-scale model training, data processing, and system implementation
• Solid understanding of Vision-Language Models, Transformer architectures, or multimodal learning systems
• Familiar with agent optimization or training techniques, such as Reinforcement Learning (e.g., PPO, RLHF) and agent evaluation frameworks or benchmarking environments
• Experience in UI understanding tasks, such as object detection and OCR
• Proficiency with deep learning frameworks such as PyTorch or JAX

XG Tech is committed to providing equal employment opportunities by country, state, and local laws. XG Tech does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

• Plan and execute digital marketing campaigns across channels including Facebook, Instagram, Google, TikTok, YouTube, and other relevant platforms.
• Manage and optimize paid advertising (SEM, social ads, display ads) to achieve performance targets such as leads, conversions, and brand awareness.
• Create and manage engaging content for social media, website, and email marketing.
• Monitor and analyze campaign performance metrics and provide regular reports with insights and recommendations.
• Collaborate with internal teams and external agencies to align digital activities with overall marketing objectives.
• Conduct market research and competitor analysis to identify trends, opportunities, and areas for improvement.
• Manage company website content updates and ensure SEO best practices are implemented.
• Support in organizing online/offline marketing events and promotional activities when needed.