Total 502 Science / R&D / Research job vacancies in BUKIT PASIR

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 scope:

- Wash apparatus 

- Check equipment

- Maintain general cleanliness of the labs

- Any other duties assigned by the Lab Technologists.

Working hours:

Monday to Thursday: 7.30 am to 5 pm; Friday: 7.30 am to 4.30 pm

Contract start & end date: 03 Aug to 17 Sep 2026

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-Fellow-%28Mathematics%29/33402-en_GB/?st=27EA650B338B5E357BE8807DDBD8CC0F4FE85C73

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof. BAO Weizhu and his research group at NUS on modeling and simulation for semiconductor devises and scientific machine learning methods for PDEs arising from emerging applications.

The main responsibilities of the position include working with the PI and his research group on developing and analyzing efficient and accurate numerical methods for partial differential equations and related problems from different applications including semiconductor devices.

Qualifications / Discipline:  
•    PhD in Mathematics or applied science or equivalent

Skills:  
•    Modelling and simulation, computational science and engineering, scientific machine learning, etc. 

Experience:   
•    Research experience in modelling and simulation, and computational science and engineering including semiconductor devices.

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-Fellow-%28Quantum-Engineering%29/33413-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated Research Fellow to join our growing team developing next-generation electrical interfaces to diamond quantum sensors based on nitrogen-vacancy (NV) centers. The successful candidate will lead efforts to develop novel electrical readout, control, and sensing architectures that complement or potentially replace conventional optical detection methods.

The research will combine semiconductor device physics, quantum sensing, spin-dependent transport, and diamond electronics, with opportunities to explore hybrid platforms involving two-dimensional materials, field-effect devices, and advanced electrical detection techniques.

Key Responsibilities

•    Electrical interfaces for diamond quantum systems: Lead efforts to develop and optimize electrical approaches for detecting and controlling NV-center spin and charge states, including device design, fabrication, and characterization.
•    Semiconductor device architectures: Explore p-i-n, Schottky, field-effect, and related device structures for integrating diamond defects with electrical readout and control platforms.
•    Spin-dependent transport and recombination: Investigate spin-dependent electrical, optical, and recombination processes in diamond and related defect systems for quantum sensing applications.
•    Diamond–hybrid devices: Develop hybrid device architectures incorporating diamond with novel and/or CMOS-compatible materials, including graphene, silicon nitride, or other functional layers for electrical transduction.
•    Device modelling and simulation: Model carrier transport, charge-state dynamics, photoelectric processes, recombination pathways, and electrostatic device behaviour to guide experiments and optimize device performance.
•    Team collaboration and mentorship: Work closely with PhD students, research engineers, and undergraduate researchers while contributing to the growth of a multidisciplinary research programme.
•    Cross-disciplinary exploration: Engage with applications spanning quantum sensing, integrated electronics, semiconductor diagnostics, quantum materials, and bioelectronic sensing.

What We Offer
•    Opportunity to pioneer new approaches to electrical quantum sensing and spin-based technologies in diamond.
•    Access to state-of-the-art facilities for diamond characterization, device fabrication, optics, microwave engineering, and electrical measurements.
•    Freedom to pursue ambitious and innovative research directions at the intersection of quantum technology, semiconductor electronics, and advanced sensing.
•    Participation in building a new research programme from the ground up, with significant opportunities for intellectual leadership, technology development, and independent project ownership.
•    Strong emphasis on translation beyond academic publications, including the development of enabling technologies, prototype systems, intellectual property, and real-world sensing applications.
•    Opportunities to contribute to patent generation, technology commercialization, industry partnerships, and potential future spin-out ventures arising from the research.
•    Exposure to a broad range of application areas, including semiconductor diagnostics, advanced manufacturing, quantum instrumentation, materials characterization, healthcare technologies, and next-generation sensing systems.
•    Collaboration with experts across quantum sensing, nanofabrication, semiconductor devices, materials science, photonics, and engineering.
•    Strong support for publishing impactful research while simultaneously pursuing technologies that can deliver tangible scientific, industrial, and societal benefits.

Job Requirements

Job Requirements
•    PhD in Physics, Electrical Engineering, Materials Science, Applied Physics, or a closely related field.
•    Strong background in one or more of the following:
     o   Semiconductor device physics
     o   Quantum sensing or spin physics
     o   Diamond defects and color centers
     o   Electronic transport measurements
     o   Semiconductor characterization techniques
•    Experience with electrical device fabrication and characterization, including Schottky diodes, p-i-n structures, FETs, or related semiconductor devices.
•    Familiarity with low-noise electrical measurements, RF electronics, lock-in techniques, impedance spectroscopy, capacitance measurements, or microwave spin-resonance methods.
•    Experience with carrier transport simulations, semiconductor modelling, finite-element analysis, or device design tools is advantageous.
•    Knowledge of NV centers, spin-dependent recombination, charge-state physics, PDMR, ODMR, or related quantum defect systems is desirable but not strictly required.
•    Experience with graphene, hBN, other two-dimensional materials, or hybrid quantum-semiconductor devices would be highly advantageous.
•    Strong publication record, scientific communication skills, and ability to work independently while contributing effectively within a collaborative team.
•    Open to Fixed Term Contract.

About Us:

The National Cancer Centre Singapore (NCCS) is a leading national and regional tertiary cancer centre, attending to most of patients with cancer in Singapore’s public healthcare sector. We offer world class oncology care by having the best talent, giving the best care and doing the best research to improve cancer outcomes. Join us to build a meaningful career and offer patients hope for a cancer-free tomorrow.

About the Role:

The Division of Supportive and Palliative Care (DSPC) seeks a dynamic and compassionate individual to join our young and dynamic research team. Our research projects seek to improve care for patients with cancer, heart failure and other serious illnesses by developing, evaluating and implementing novel models of healthcare service delivery for palliative care, including the use of artificial intelligence.

You will perform a variety of activities under the supervision of the Principal Investigator and/or her designate.

Key Responsibilities:

- Screen and recruit research participants.

- Conduct semi-structured interviews or surveys with research participants at various settings (e.g. in-patient, out-patient, residential settings, virtual settings).

- Extract clinical data from medical records.

- Enter and manage study data.

- Assist in literature reviews and survey development.

- Assist with preparation of presentations and manuscripts.

- Attend to the administrative and logistic needs of research projects, including IRB submissions and report writing.

- Be involved in educational research activities.

Job Requirements:

- Bachelor’s degree in life sciences or social sciences or with 2 years of relevant experience in these fields.

- Prior experience or evidence of knowledge in conducting interviews/survey research/ scientific writing would be advantageous.

Job Summary

The Institute of High Performance Computing (IHPC), A*STAR, was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

We are looking for a motivated and versatile individual to join the Healthcare team. The role will support the development, adoption, and continuous improvement of reusable AI assets and platforms through ecosystem engagement, platform operations, product thinking and practical UI/UX capability.

Research Engineer (Reusable Healthcare AI Assets)

The successful candidate will work closely with researchers, engineers, product owners, healthcare and public-sector stakeholders, and industry partners to identify user needs, translate them into actionable platform requirements, and drive the adoption of reusable AI assets. The role is suitable for someone who can engage stakeholders effectively, structure feedback into product and operational priorities, and contribute to simple, intuitive user journeys, wireframes, prototypes, dashboards, and documentation for AI platforms.

Requirements

• Experience in at least one of the following areas: AI/ML platform delivery, product or platform operations, technical project management, ecosystem or stakeholder engagement, developer relations, digital transformation, UI/UX design, or technology adoption.
• Working understanding of AI/ML systems, data-driven applications, software platforms, APIs, cloud environments, MLOps, or reusable software/assets. Deep research specialisation is not required, but the candidate must be comfortable working with technical teams.
• Ability to translate between domain needs, user pain points, operational constraints, and technical implementation requirements.
• Practical exposure to user research, journey mapping, wireframing, prototyping, usability testing, information architecture, or interface review.
• Strong written and verbal communication skills, with the ability to explain technical capabilities and trade-offs to both technical and non-technical audiences.
• Good planning, coordination, and stakeholder management skills, with the ability to manage multiple workstreams independently in a fast-moving environment.

Preferred qualifications (one or more of the following)

• Experience in healthcare, biomedical, public-sector, or regulated digital systems.
• Hands-on experience with UI/UX or prototyping tools such as Figma, Miro, FigJam, Balsamiq, or equivalent.
• Ability to build lightweight prototypes, demos, or dashboards using tools such as React, JavaScript/TypeScript, HTML/CSS, Streamlit, Gradio, Dash, Tableau, Power BI, or similar.
• Experience managing reusable asset catalogues, platform onboarding journeys, technical documentation portals, design systems, knowledge bases, or developer-facing resources.
• Familiarity with agile delivery and collaboration tools such as Jira, Confluence, Git, GitHub/GitLab, or equivalent.
• Awareness of responsible AI, model evaluation, AI safety, data privacy, cybersecurity, and governance considerations for AI systems.

Interested applicants should submit their curriculum vitae, together with a short cover note describing relevant experience in ecosystem engagement, platform operations, AI/ML systems, and UI/UX or product-related work. The level of appointment will be commensurate with experience.

For applicants, please send your curriculum vitae to Dr Ricardo Shirota Filho (ricardo_shirota_filho@a-star.edu.sg)

Job Summary

Role Overview

You will help leadership build and manage a balanced research portfolio — spanning themes, maturity levels, risk profiles, funding sources, and paths to real-world impact. You will develop investment cases, lead resource planning, and ensure that the institute’s research bets are strategically sound.

Key Responsibilities

• Support long-term research portfolio planning across themes, maturity levels, risk profiles, funding sources, and paths to impact.
• Develop investment cases and decision papers to support leadership discussions on major research bets and capability-building.
• Evaluate programmes based on scientific excellence, strategic relevance, and potential for real-world impact.
• Lead long-term planning for budget, headcount, infrastructure, compute, data, and platforms to support the institute’s goals.
• Partner with finance, HR, operations, IT, and research teams to align resource planning with strategic priorities.

Requirements

• Degree in science, engineering, business, finance, operations, or a related field; experience in R&D portfolio planning or resource management is advantageous.
• Strong understanding of research portfolio management, resource planning, budgeting, headcount planning, and programme evaluation.
• Ability to develop investment cases, decision papers, portfolio analyses, and resource plans for senior leadership.
• Strong cross-functional coordination skills, with experience working across research, finance, HR, operations, and IT teams.

Career Growth & Impact

• Manage a portfolio at national scale. You will oversee research investments spanning multiple domains, risk profiles, and funding sources — the kind of breadth usually found only at global R&D organisations.
• Influence major investment decisions. Your analysis and recommendations will directly shape which research bets the institute makes — and where it builds new capabilities.
• Build a versatile, cross-functional skill set. You will work at the intersection of science, finance, operations, HR, and IT — experience that is highly transferable across sectors.
• Accelerate your career. A strong foundation for progression into senior research management, chief-of-staff roles, or leadership positions in national research planning.
• on management.

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

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.

Job Summary

Job Purpose

The Knowledge Engineer will be responsible for designing, constructing, and maintaining knowledge graphs derived from heterogeneous enterprise documents. The role involves leveraging Large Language Models (LLMs) for knowledge extraction, ontology-driven structuring, and question answering over knowledge graphs to support intelligent search, reasoning, and decision-making systems.

Key Responsibilities

• Leverage LLMs to extract structured knowledge (entities, relations, attributes) from unstructured and semi-structured documents such as:Maintenance manualsProduct design documentsTroubleshooting guidesLessons learned reports
• Process documents in multiple formats, including Word, PDF, PowerPoint, and Excel.
• Design, construct, and maintain knowledge graphs, including:Schema and ontology designEntity and relationship modellingData normalisation and validation
• Implement and manage knowledge graph storage using graph databases such as Neo4j and GraphDB.
• Develop LLM-powered question answering and interaction pipelines over knowledge graphs, enabling:Natural language queriesContext-aware and explainable responses grounded in structured knowledge
• Collaborate with domain experts and stakeholders to refine ontologies, extraction logic, and use cases.

Required Skills & Experience

• Strong understanding of ontology design, knowledge graph modeling, and semantic data representation.
• Proficiency in Python, with experience building data processing and NLP pipelines.
• Solid understanding of prompt engineering and LLM-based workflows.
• Hands-on experience working with LLMs, including both:Closed-source models (e.g., GPT-based APIs)Open-source models (e.g., LLaMA, Qwen, etc.)
• Experience with graph databases, particularly Neo4j and/or GraphDB.

Preferred / Advantageous Skills

• Experience in information extraction, document understanding, or NLP pipelines.
• Familiarity with RDF, OWL, SPARQL, or Cypher is a plus.
• Experience integrating LLMs with structured knowledge sources (e.g., KG-augmented QA, RAG with graphs).

Key Competencies & Attributes

• Strong analytical and problem-solving skills, with the ability to translate unstructured information into well-defined data models.
• Ability to work independently while collaborating effectively within a multidisciplinary team.
• Good communication skills to engage with technical and non-technical stakeholders.
• Demonstrated willingness to continuously learn and keep up with advances in LLMs, NLP, and knowledge engineering.

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-Fellow-%28Biological-Sciences%29/33323-en_GB/?st=B5FA154F06D36FC5269C150E5001D81FCD76013F

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with A/P Lau On Sun on studying the production of stomata in plants under a project on Singapore Indoor Farming System.

The main responsibilities of the position include:
running a project in the lab where we aim to study the production and behavior of stomatal guard cells in plants. The work will involve the generation of transgenic plants, analyses of plant varieties and mutants, performing light and confocal microscopy, image analyses, and various in vitro and in vivo biochemical, molecular, and genomic analyses. The Research Fellow is also expected to mentor and train junior members in the lab.

Qualifications

PhD in Plant Molecular Biology, Cell Biology, Developmental Biology or related field.

Skills:
Expertise in basic and advanced molecular biology, biochemical, and genetic techniques in Arabidopsis and other relevant plant model systems (e.g. gene cloning, in vitro protein assays, protein-protein interaction, crossing and phenotyping plants, etc.) and microscopic analyses (e.g. light and fluorescent microscopy and imaging analyses).

Experience:
At least 4 or more years of related laboratory experience in molecular genetics in plants. Experience working with Arabidopsis and other plant species and have at least one submitted/accepted manuscript in reputable journals in relevant fields will be preferred.

REPORTS TO: Middle & High School Principal

JOB GOAL: A High School Science teacher at ICS must have a strong understanding of the Next Generation Science Standards (NGSS) and have experience closing the achievement gap. They must develop engaging and innovative lessons that allow our students to grow academically, socially and emotionally. The teacher should be confident in incorporating technology (including emerging technologies such as GenAI) and hands-on learning experiences into the classroom with enthusiasm and also believe in collaboration with other colleagues, promoting understanding and communication in a diverse learning and cultural environment.

PERFORMANCE RESPONSIBILITIES:

• Plan, prepare, and execute appropriate lessons, utilizing appropriate resource materials and activities.
• Follow the prescribed scope and sequence of curriculum and assessment as scheduled.
• Employ a variety of instructional aides, methods, and materials that will promote best practices in order to reach the whole child as stated in the ICS mission statement.
• Assess student learning against the appropriate standards on a regular basis and provide progress reports as required.
• Identify the needs of students through diagnostic procedures and align instructional objectives to these needs.
• Effect student learning through mastery of the subject material by utilizing valid teaching techniques to achieve curriculum goals within the framework of the school’s philosophy.
• Eager to explore and learn about emerging technologies, such as Generative AI, with a commitment to integrating them effectively into the classroom to foster critical thinking and guide students in developing ethical and responsible use.
• Ensure Biblical Worldwide Integration (BWI) is mapped throughout the curriculum.
• Complete lesson/unit plans, Atlas, ESO documentation, and PLC expectations within specified time frames.
• Maintain student records as required by the school.
• Communicate with parents, students, and other professional staff regarding student progress (behavioral and academic).
• Follow school policies, procedures, rules, regulations, and guidelines and the provisions of the contract.
• Maintain proper discipline in the classroom and on the school premises utilizing teacher created discipline plans in conjunction with a school-wide discipline plan.
• Inform the administration if/when unable to fulfill any duty assigned. Prepare adequate information and materials for a substitute teacher.
• Plan and lead a student Chapel when called upon.
• Supervise extracurricular activities, organizations, and outings as assigned.
• Complete the Christian Philosophy of Education in-service program within the first three years of teaching at ICS.
• Attend and participate in devotions, teachers’ meetings, evening programs (if involving his or her students or as requested by the administration), and other meetings as assigned.
• Carry out supervisory duty as assigned (before school, break, lunch, after school).
• Maintain a classroom in a clean and educationally stimulating environment.
• Maintain regular and accurate attendance and grade reports that provide comprehensive information for each student’s learning progress.
• Keep students, parents, and the administration informed of students’ progress or deficiencies, and provide sufficient and timely notice to parents when students fail to meet learning standards.
• Submit all appropriate reports to the administration, guidance office, and business office as required by school regulations or as requested.
• Work with the administration in implementing all policies, procedures, and directives governing the operation of the school.
• Complete professional development programs as required by the administration and/or ICS Board.
• Maintain teaching credentials as required through sponsoring agencies (state/provincial education department, ACSI, etc.). Acquire and maintain teaching credentials as required by the laws of Singapore, NICS, and/or ICS.
• Demonstrate the character qualities of enthusiasm, courtesy, flexibility, integrity, kindness, self-control, perseverance, and punctuality.
• Exemplify strong interpersonal and communication skills.
• Meet everyday stress with emotional stability, objectivity, and optimism.
• Develop and maintain rapport with students, parents, and staff by treating others with friendliness, open-mindedness, dignity, and consideration.
• Respectfully submit to and demonstrate loyalty to constituted authority.
• Maintain a personal appearance that models cleanliness, modesty, good taste, and is in agreement with school policy.

QUALIFICATIONS:

• Bachelor’s Degree
• Teaching credential from a US state, Canadian province or from ACSI (exceptions will be approved by the Academic Board)
• Expertise in working with students and teaching Advanced Placement (AP) courses
• Knowledge of specific subject(s)

Salary and Benefits

The stated salary range is inclusive of benefits and allowances for eligible employees. Actual compensation may vary depending on eligibility and employment terms.

Job Description

The Senior AI Research Scientist will be working on clinical multi-agent CDS engineering workstream. The role will design and implement the MAS harness that coordinates GP, pharmacist, specialist, guideline/evidence, medication-safety and workflow agents for primary-care decision support. The system should support pre-consult briefs, iterative re-inference during consultation, safety checks, and structured next-best-action recommendations.

The scientist will be responsible for translating clinical workflow requirements into an executable architecture: agent contracts, orchestration logic, memory/state management, tool interfaces, retrieval layers, evaluation harnesses and observability. The role will also lead simulation-based testing and validation using clinical vignettes, synthetic cases, public benchmarks and protected clinical data pathways where approved.

Key Responsibilities

• Design and implement the MAS/CDS harness, including agent roles, orchestration policies, memory/state handling, tool calling, guardrails and error recovery.
• Build simulation-based evaluation workflows that generate cases, run multi-agent consultations, compare outputs with labels or clinician review, and record failure modes.
• Engineer validation pipelines for guideline compliance, medication safety, role adherence, hallucination detection, uncertainty handling, and workflow usability.
• Integrate clinical foundation models, retrieval components, guideline knowledge bases, structured patient data and clinician feedback loops into a coherent CDS prototype.
• Lead technical design for pre-consult briefs and iterative consultation support, including re-inference when new patient information, lab results or clinician inputs are added.
• Collaborate with clinicians, product/workflow teams and evaluation teams to define acceptance criteria, benchmark scenarios, safety thresholds and pilot-readiness evidence.
• Mentor junior researchers/engineers and establish engineering standards for reproducible MAS experiments, audit trails, dataset versioning and model/system documentation.

Required Qualifications and Skills

• PhD degree in AI, computer science, machine learning, biomedical informatics, computational science or a related field.
• Strong hands-on experience building LLM applications, agentic systems, orchestration frameworks, evaluation harnesses or production-grade AI research prototypes.
• Deep understanding of LLM evaluation, retrieval-augmented generation, tool use, safety guardrails, observability, state management and experiment reproducibility.
• Ability to design validation approaches for clinical AI systems, including synthetic and real-world data evaluation, clinician review workflows and error analysis.
• Strong software engineering skills in Python and modern AI system stacks; able to convert research ideas into maintainable prototypes and reusable platforms.

Preferred Experience

• Experience with clinical decision support systems, medical LLMs, healthcare workflow integration, FHIR/EMR/eHINTS-like data pathways or regulated AI evaluation.
• Experience with multi-agent frameworks, simulation environments, LLM-as-judge systems, benchmark construction, or safety testing for high-stakes AI.
• Knowledge of primary-care chronic disease management and clinical safety issues such as polypharmacy, contraindications, formulary constraints and care-gap detection.
• Track record leading small technical teams, mentoring junior researchers, and coordinating with clinical, product and governance stakeholders.

Job Summary

About the Role

The Institute of High Performance Computing (IHPC), A*STAR, is seeking a highly motivated Research Engineer to develop and deploy advanced AI systems that translate cutting-edge research into scalable real-world applications.

The successful candidate will work closely with research scientists to implement, optimize, and operationalize AI models across healthcare and biomedical domains. This role combines software engineering, machine learning, and systems engineering to bridge the gap between research and deployment.

Key Responsibilities

AI System Development

• Design, develop, and maintain machine learning and deep learning systems.
• Implement state-of-the-art AI algorithms from research prototypes into production-quality software.
• Build scalable data processing and model training pipelines.
• Develop multimodal AI systems integrating text, image, video, sensor, and structured data.
• Optimize model training, inference, and deployment workflows.

Research Translation

• Collaborate with AI researchers to translate novel algorithms into robust software solutions.
• Reproduce and benchmark research models.
• Develop reusable AI frameworks, libraries, and tools.
• Support experimentation, model evaluation, and performance optimization.

Software & Infrastructure Engineering

• Design scalable cloud and on-premise AI infrastructure.
• Develop APIs, backend services, and model-serving platforms.
• Implement automated testing, monitoring, and CI/CD pipelines.
• Support large-scale distributed training and inference systems.

Deployment & Integration

• Deploy AI solutions into healthcare, scientific, and enterprise environments.
• Integrate AI systems with operational workflows and external platforms.
• Develop monitoring tools for model performance and reliability.
• Support technology transfer and production deployment activities.

Requirements

Essential

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, or related disciplines.
• Strong programming skills in Python.
• Experience with PyTorch, TensorFlow, or similar machine learning frameworks.
• Experience in software engineering best practices.
• Familiarity with Linux, Git, and software development workflows.
• Strong problem-solving and system design skills.

Preferred

• Experience with:Large Language ModelsMultimodal AIComputer VisionMLOps platformsCloud Computing (AWS, Azure, GCP)Containerization (Docker, Kubernetes)Distributed ComputingGPU Computing

What We Offer

• Opportunity to work on cutting-edge AI technologies with real-world impact.
• Access to world-class computational infrastructure and research facilities.
• Collaboration with leading researchers, clinicians, scientists, and industry partners.
• A dynamic environment supporting innovation, learning, and career growth.