Total 531 Science / R&D / Research job vacancies in New Delhi

Job Description

We are looking for a passionate and capable individual to work with flexible sensors, wearable technologies, and benchtop biochemical analytics.

1. Be familiar with electrochemistry and electrochemical detection/analytics, colorimetric assays, enzymatic reactions, and biochemistry.
2. Be familiar with, and regular/daily wet-lab processes, materials processing, sample preparation, and electrochemical device preparation.
3. Be familiar with device and materials characterisation, such as common electrochemical approaches (CV, amperometry, DPV, SWV, etc), impedance measurements, basic optical measurements, and standard microscopy.
4. Possess basic computational abilities such as python, basic AI skills, with a keen eye for automation.
5. Be highly motivated for intellectual output (problem solving, publications, IP and general knowledge creation), able to learn quick on the job, able to think outside the box for research and engineering solutions

Qualifications & Field of Study:

Bachelors in preferably biomedical engineering, or materials science and engineering; chemical or electronics engineering or related fields are also relevant.

1. Good understanding of sensing materials, conductive/semiconductive materials, electronic devices, electrochemical sensors, and their related device engineering/development and characterisation tools
2. Good with detailed hands-on work in wet lab, meticulous and attention to detail; good with characterisation measurements
3. Have sufficient computational knowledge and abilities to complement research, including basic programming language, basic AI skills, awareness of automation etc.
4. Basic awareness and knowledge of biosensors, wearables technology, healthcare/medtech landscape.

Other Requirements:

1. Strongly driven for intellectual output and knowledge creation
2. Resourcefulness in problem solving
3. Diligent and team player, work in multi-disciplinary environments.

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

The project is related to exploration and application of artificial intelligence (AI) in design, analysis, discovery and validation of new ferroelectric and piezoelectric material for high-performance energy conversion or signal transmission functions. The materials particularly include ferroelectric and piezoelectric single crystals and thin films as demanded for producing competitive MEMES devices and ultrasonic transducers. The job scope covers design, growth, evaluation and analysis of ferroelectric and piezoelectric materials and related database generation for AI implementation, and relevant validation and demonstration.

Requirements:
• Ph.D in physics, material science, engineering; or a bachelor/master degree holder with expertise and skills related to data science (Scientist or Engineer position)
• Passion in creating new ferroelectric and piezoelectric materials, or application of AI in analyzing and discovering ferroelectric and piezoelectric materials.
• Any of R&D experience below: ferroelectric and piezoelectric characterization and analysis; data science, machine learning for design and validation of new materials; growth of piezoelectric single crystal; solid-state crystal growth; fabrication of ferroelectric thin films and ceramics.
• Good track record in technical publication, high performance record in university, or verifiable experience in the relevant areas as stated above.

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

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.

Job Summary

Role Overview

You will lead the institute’s efforts to identify emerging technology trends, market opportunities, and ecosystem shifts. In this role, you will oversee technology and market intelligence, assess the institute’s strengths against external opportunities, and shape clear recommendations on where to build, partner, or step back.

Key Responsibilities

• Oversee market and technology sensing to identify emerging trends, industry shifts, policy changes, and partnership opportunities.
• Lead technology intelligence — assessing emerging scientific areas, technical trajectories, maturity, standards, and competitive activity.
• Lead market intelligence — assessing industry needs, adoption barriers, value pools, investment trends, and partnership opportunities.
• Map the institute’s research strengths, platforms, talent, and partnerships against emerging opportunities.
• Develop clear recommendations on where to build, deepen, partner, or deprioritise capabilities.
• Build and lead a high-performance, engaged, multi-disciplinary team.

Requirements

• Advanced degree in science, engineering, or a related field. Postgraduate training is advantageous.
• Strong experience in market intelligence, technology intelligence, technology strategy, foresight, consulting, or innovation management.
• Ability to assess technology maturity, market opportunities, industry demand, competitive activity, and ecosystem developments.
• Strong analytical and communication skills, with the ability to turn intelligence into actionable strategic recommendations.
• High proficiency with Generative AI tools will be an advantage.

Career Growth & Impact

• Be the first to see what’s next. You will lead intelligence efforts across emerging technologies — from generative AI to quantum computing and green energy — with direct access to world-class researchers and labs.
• Build an unrivalled professional network. You will engage regularly with industry leaders, startups, government agencies, and international research partners.
• Turn insights into action. Your recommendations will directly determine where the organisation builds, partners, or steps back — a rare level of strategic influence for an intelligence role.
• Open doors across industries. This role is a springboard into technology strategy, corporate development, venture capital, or innovation policy.

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.

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.

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.