Total 2,010 Science / R&D / Research job vacancies in new delhi

Reporting to Director, Corporate Services we are looking for a candidate to support senior management in strategic planning and management in manpower, and Institute resources as well as overseeing the day-to-day running of the division.

You will work closely with the core management team in managing the Institute overall budget and resources, liaising with the stakeholders in staff recruitment and management of manpower budgets. You will be working with the HR partners in ensuring all HR functions are properly administered and ensure timely and accurate reporting to requests from Head Office

A self-starter, problem solver and matured individual who can work independently with minimum or no supervision. Some HR-related experiences will be preferred with strong interpersonal skill to work with all levels of colleagues. Responsible in guiding and providing mentorship to the team towards achieving optimal results.

Requirements:

• Bachelor's degree with 5 years' experiences preferably in HR and resource management
• Resourceful and result oriented
• Strong analytical and organisational skills
• Effective communicator and a people person
• Organised, meticulous and detail-oriented

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.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

The Role

Institute of Operations Research and Analytics (IORA) at National University of Singapore (NUS) offers an exciting opportunity for a highly motivated Research Fellow to work on and manage analytics projects with our industry partners. The projects aim to develop new analytics tools utilizing unique datasets and research and experimental development on machine learning techniques.

Your project management and technical skills are the foundation of this role as you will be working within multidisciplinary and international project team of leading researchers. As an important and integral member of our research team, you will be managing some of our industry projects and working closely with faculty members, research scientists, and PhD students. Our researchers can mine terabytes of data, develop mathematical models and algorithms to derive new insights. Part of your job is to communicate complex data and algorithms into simple conclusions that will empower our industry partners to act based on the research insights. Your business knowledge, interpersonal/communication skills are therefore a requirement to thrive in a multi-functional leadership team.

About You

The University values courage and creativity, openness and engagement, inclusion and diversity, and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for Research Fellows who have:

• a completed PhD in computer science, operations research, econometrics, statistics, or related field
• strong mathematical and programming background and problem-solving skills, with research experience in operations research
• evidence of managing research projects
• evidence of ability to conduct high-quality research
• an emerging track record of academic publications
• an ability to work in a collaborative team environment
• excellent communication skills

About Us

IORA conducts research on optimization, analysis and management of service systems, including model formulation, algorithm design, analysis of service strategies, and software development.

Our members come from academics and diverse segments of management that are advancing the philosophy of operations research and analytics. For more information on IORA, please visit the website: IORA

How to apply

To apply, submit a letter of application, CV, research example (e.g. journal publication), copies of teaching evaluations (if applicable), copy of graduate transcripts (showing highest degree awarded/or currently in process), names and contact information of three references. We regret that only shortlisted applicants will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and artificial intelligence. The responsibilities of the role will include designing and developing various analytical frameworks to analyze structure, unstructured and non-traditional data related to corporate financial, environmental, and social indicators.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Duties and Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Zhang Weina) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of data analysis frameworks.
• Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data sources, including commercial databases and alternative, non-traditional datasets.
• Plan, supervise and perform (if necessary) the generation of impact measures using machine learning, in collaboration with the Institute’s Directors and other Research Fellows.
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• Guide, mentor, and supervise research associates on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

Requirements

• Academic background in the following subjects is preferred: computing, information systems, economics, business, finance, or related disciplines. A bachelor’s degree is required, a master’s degree in one of these subjects is preferred, with a PhD degree required for the Research Fellow position.
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is preferred.
• A thorough knowledge of the research field of machine learning and artificial intelligence is highly preferred.
• Programming skills, including knowledge of machine learning and artificial intelligence processes and tools, are highly desired, along with experience in conducting and supporting research and data analysis of research projects.
• Database management experience is desired.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Strong verbal and interpersonal communication skills, along with written communication skills

We are seeking passionate scientists who wish to develop innovative methods in the metagenomic assembly field. Our lab is focused on leveraging new technologies to better study microbial populations and their impact on human health. In this context, our lab has extensive experience in metagenomic analysis and has developed several widely used tools in this field. We?re now focusing on new methods to obtain a comprehensive catalogue of complete genomes at the strain level from metagenomic samples, which can be further leveraged for comparative genomic analysis.

The successful candidate will have the opportunity to work in a highly interdisciplinary environment, with unique access to next-generation sequencing technologies and a wide range of samples. Solutions developed during this project will have direct applications to ongoing and new microbiome research projects in the lab, particularly in studying antimicrobial resistance and skin diseases.

The Nagarajan Lab is based in the Genome Institute of Singapore (GIS) which is the national flagship program for genomic sciences in Singapore with a mission to use genomics to improve public health and national prosperity. Singapore is a highly cosmopolitan city-state at the cross-roads of Asia with one of the highest standards of living in the world.

The GIS provides an internationally competitive remuneration package and relocation assistance.

Requirements:

• PhD in Computational Biology, Computer Science, Electrical Engineering/Genomics
• Strong analytical and programming skills (Python, C++, UNIX environment).
• Candidates with significant experience in assembly algorithms will be strongly preferred.

How To Apply: E-mail cover letter, research statement, curriculum vitae, and contactdetails of at least three referees to Niranjan Nagarajan (nagarajann@gis.a-star.edu.sg)

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.

Sequential has developed the world’s first at-home skin test, that deeply analyses your skin genetics and skin microbiome. Giving you a complete picture of what you’re born with (genetics) and the environment you are in (the microbiome). https://www.sequentialskin.com/.

We have a great opportunity for a laboratory technician role to join Sequential team.The core functions of this role are to assist in the daily operation of our Molecular Biology team. These functions include performing accurate molecular-based testing, develop and validate molecualr assays.

Key duties include:

• Assist in conducting laboratory experiments related to skin microbiome analysis, including sample collection, DNA extraction, and microbial culture.
• Support senior researchers in performing molecular techniques such as qPCR, DNA sequencing, and microbiome analysis.
• Help in managing and maintaining laboratory equipment and inventory.
• Contribute to data collection, organization, and initial analysis.
• Maintain accurate and detailed laboratory records.
• Provide support in preparing reports, documentation, and presentations.
• Stay updated on basic microbiome and molecular biology techniques.

Qualifications:

• Diploma or Bachelor’s degree in Microbiology, Biotechnology, Molecular Biology, or a related field.
• Familiarity with basic laboratory techniques such as pipetting, sample handling, and microbiology protocols.
• Strong organizational skills and attention to detail.
• Eagerness to learn and work in a team-oriented environment.
• Basic computer skills for data entry and record-keeping.

Experience

• Hands-on experience on performing DNA-based test, e.g. DNA extraction, PCR and qPCR.
• Practical knowledge of basic microbiological handling techniques is highly preferred.

Attributes

• Aseptic techniques to avoid the potential for contamination are a must.
• Good time management skills are a must, in order to keep up with the pace of a busy production environment.
• Proven ability to work efficiently without close supervision.
• Act with integrity at all times and maintain a high standard of work.
• Willing to learn and have a “can-do attitude”.
• Able to take initiative, and work in a fair and responsible way.
• Can communicate clearly and effectively across multiple teams.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The candidate is expected to perform experimental work that combines TEM sample preparation, focusing on heating and cooling experiments, aberration-corrected STEM, as well as monochromated Electron Energy-Loss Spectroscopy.

All experiments will be performed on ultrathin, graphene-like films. Advanced STEM and EELS data processing will be performed, as well as the drafting of scientific manuscripts.

Qualifications

The candidate is expected to hold a PhD degree, or is awaiting the outcome of the PhD thesis submission. The candidate will have 3-4 years of hands-on experience with aberration-corrected STEM and monochromated electron energy-loss spectroscopy. The candidate is expected to work efficiently and supportively with students, research fellows, and collaborators.

The WIN Trainer will be responsible to deliver value adding WIN sales training to all new customer facing team members in South Asia Pacific Region (A2), which includes: Account Managers, Engineers and Customer Service employees. This will enable A2 to grow sustainably through by ensuring a well-equipped, highly trained and professional organization

Responsibilities & Accountabilities:

• Effective coordination, ongoing development and delivery of a relevant WIN training and SSS, SAM) Prepare WIN evaluation reports after each session
• Ensure the overall facilitation of WIN trainings (Trade / Application / Product, SSS, SAM)
• Maintain accurate and up to date training materials such as FUSE assets, presentations, demo tools, role play papers with new technology e.g. e-learning
• Continue to reinforce and partner the learning concept of Pre/classroom/Post WIN with 70/20/10
• Monitor and support the Training Centre in ensuring world class facility standards and efficient administration
• Ensure all users of the Training Facilities comply with Health and Safety regulations

Person Specification:

• A bachelor degree or above
• More than 1 year of experience in customer facing functions
• Profound selling skills, strong execution and call planning, track record in sales achievement, excellent construction product and trade knowledge.
• Understand Company strategy and drive Company’s initiatives with a can-do attitude. Self-motivated to deliver results
• Positive mindset and passion in developing people, enjoy experience sharing
• Excellent interpersonal, communication and presentation skills
• Team player with strong team work and customer-orientation. Able to drive and influence different teams to work together to achieve the goal
• Strong planning and organizational skills, independent, dynamic and open for feedback and new ideas.
• Someone with high ambition and potential to excel and develop their long term career at Hilti.

Postdoctoral Scientist position

A postdoctoral scientist position is available immediately in the laboratory of Dr. Leslie Beh at IMCB.

The Beh lab seeks to develop cutting-edge CRISPR-Cas technologies to uncover the biological functions of RNA modifications. Dysregulation of these modifications has been linked to cancer, neurological disorders, and metabolic disease. We will determine the mechanisms by which RNA modifications and CRISPR-Cas systems operate by drawing upon diverse techniques, including protein engineering, biochemical reconstitution, genomics, and cell-based experiments. Successful applicants can expect close mentorship in a collaborative environment, with an emphasis on developing scientific knowledge and individual career goals. More information about can be found at (https://www.behlab.org/).

Requirements:

• Ph.D. in Life Sciences / Biomedical Sciences
• Experience in biochemistry and/or structural biology, particularly in protein-RNA or protein-DNA interactions.
• in vitro reconstitution of enzymatic activity using cell extracts or purified proteins
• Recombinant protein purification from bacterial and insect cells
• Genuine interest in pursuing a research-based career.
• Strong work ethic, with excellent organizational and communication skills

Preferred experience:

• Mammalian cell culture
• NGS library generation and data analysis
• Prior roles in lab management

Responsibilities

The lab of RNA in Disease and Translational Technologies at the Institute of Molecular and Cell Biology, A*STAR, Singapore is seeking to recruit a highly motivated Scientist or Senior Scientist to join a team developing a ribozyme-based RNA platform for potential translational and/or clinical applications.

The work will involve both in vitro and in vivo techniques, including molecular biology (RNA design, in vitro transcription, cell-free RNA assays, RT-qPCR, molecular cloning), cell biology (cell culture, cell transfection, flow cytometry, antisense oligonucleotides and RNAi, CRISPR), high-resolution imaging techniques, and experiments in mouse models (e.g. transgenesis, in situ hybridization and immunohistochemistry, imaging and functional analyses)

Requirements

• Minimum Ph.D. in Cell Biology, Molecular Biology, Biochemistry, Genetics, Neuroscience or a related discipline.
• The successful candidate should have strong expertise in RNA biology, cell biology, biochemistry and molecular biology techniques, a strong publication record that includes a first author research paper, and strong scientific writing skills.
• They should be creative, highly motivated, conscientious and be able to work independently, with good organisational, verbal and interpersonal skills. Our lab is collaborative and interdisciplinary, and the successful candidate should be able to work effectively and harmoniously in a diverse team.
• As a Scientist, candidate will also be expected to mentor and train students and Research Officers.

Job Description

A scientist or senior scientist position is available at the Functional Proteomics Laboratory for setting up, developing methods and performing targeted and untargeted metabolomics experiments. You will work on mass spectrometry-based identification of small molecule binders of RNA and small molecule metabolomics projects.

• Develop and run standardized protocols for untargeted metabolomics (or targeted metabolomics panels) for small molecule analysis.
• Design workflows and optimize analytical methods for performing targeted/untargeted metabolomics experiments for different sample mediums (Plasma/Urine/Tissue).
• Work with different collaborators and lead projects for small molecule metabolomics analysis on various sample types.
• Conceptualise, design and develop metabolomics assays for quantification of small molecules.
• Write and present research findings for conferences and publications.
• Contribute to project management, provision of guidance to junior researchers, including research officers.

Job Requirements

• Ph.D. degree in Molecular Biology, Biochemistry, Chemical Biology, Analytical Chemistry or a related discipline.
• Strong expertise in small molecule mass spectrometry metabolomics (preferred untargeted small molecule metabolomics expertise) with good publication record.
• Experience with liquid chromatography and mass spectrometry instrumentation, sample preparation techniques, data acquisition and interpretation.
• At least 2 years working experience in the field of metabolomics will be preferred.
• Proficiency in data processing, data analysis and interpretation will be advantageous.
• Responsible, organized, able to work independently and with a team.
• Good communication skills for scientific presentation and scientific writing.
• Optional: Prior experience with R or other data analysis tools

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant (1 year, Diabetes and chronic disease projects)

We are looking for a full-time research assistant to support ongoing research projects in the areas of diabetes and related chronic diseases. The successful candidate will be expected to support in the recruitment of research participants, conduct of study procedures, data management, and coordination with multiple stakeholders. The candidate will be working under the Principal Investigator, Associate Professor Kavita Venkataraman, and will have the opportunity to acquire skills in chronic disease research.

Responsibilities:

• Coordination of study activities
• Participant recruitment and outreach
• Conduct of study visits and participant follow up, including informed consent, questionnaires, assessments and phlebotomy
• Management of study data, and study files
• Management of supply inventory and budget monitoring
• Liaison with participants as well as internal and external teams partnering the studies
• Support for ethics and other administrative approvals, and reporting for the same

Requirements:

• Bachelor’s degree/ diploma in life sciences, allied health, health communications, or related disciplines
• Proficiency in Chinese will be an advantage as the position will work with older adults who are likely to be Chinese speaking participants.
• Excellent written and oral communication skills
• Strong organizational and time-management abilities, as well as administrative skills to manage multiple tasks and meet deadlines
• Prior experience with clinical/ public health research will be an advantage
• Attention to detail and commitment to data accuracy and quality
• Ability to communicate effectively

Applicants should include a brief statement of interest, CV, list of publications (if applicable) and the names and email details of 3 referees who may be contacted immediately if shortlisted.

Recruitment is open immediately and will continue until all positions are filled.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be responsible for working closely with the Principal Investigator on one or more research projects. In particular, the research fellow will conduct research for designing low-power embedded systems. Focus would be on designing low-power standard complaint transmitters and receivers.

Only shortlisted applicants will be notified.

Qualifications

• A PhD degree in Computer Science or related field
• Peer-reviewed publications at top-tier venues like MobiSys, MobiCom, SenSys
• Strong skills in wireless communication and embedded systems
• Background in commodity radio standards such as LoRa, WiFi, and ZigBee
• Ability to work well in a team environment
• Excellent presentation skills

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and artificial intelligence. The responsibilities of the role will include designing and developing various analytical frameworks to analyze structure, unstructured and non-traditional data related to corporate financial, environmental, and social indicators.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Duties and Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Zhang Weina) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of data analysis frameworks.
• Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data sources, including commercial databases and alternative, non-traditional datasets.
• Plan, supervise and perform (if necessary) the generation of impact measures using machine learning, in collaboration with the Institute’s Directors and other Research Fellows.
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• Guide, mentor, and supervise research associates on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

Requirements

• Academic background in the following subjects is preferred: computing, information systems, economics, business, finance, or related disciplines. A bachelor’s degree is required, a master’s degree in one of these subjects is preferred, with a PhD degree required for the Research Fellow position.
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is preferred.
• A thorough knowledge of the research field of machine learning and artificial intelligence is highly preferred.
• Programming skills, including knowledge of machine learning and artificial intelligence processes and tools, are highly desired, along with experience in conducting and supporting research and data analysis of research projects.
• Database management experience is desired.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Strong verbal and interpersonal communication skills, along with written communication skills

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The World Economic Forum (the Forum) is an International Organisation for Public-Private Cooperation, engaging global leaders to shape major agendas across sectors. Its Centre for Health and Healthcare focuses on enhancing healthcare systems by scaling solutions for resilience, efficiency, and equity through diverse stakeholder engagement.

The Centre has launched the “Digital Healthcare Transformation (DHT) Initiative,” a multi-year program to boost public-private partnerships in digital health, data, and AI. This initiative complements the Global Health Equity Network (GHEN), which promotes health equity and patient-centred system transformation.

Singapore, a leader in healthcare delivery and equity due to its investment in digital health, will be highlighted as a World Economic Forum Centre for Health and a Healthcare Country Lighthouse. This collaboration aims to showcase Singapore’s healthcare success globally and identify opportunities for Public-Private Partnerships to advance health equity through digital transformation.

The Fellowship role will manage projects and provide expertise on Health Equity, access to care, and social determinants of health. The Fellow will support the Forum’s work in developing Singapore as a Country Lighthouse, conduct research on its health system transformation, and share insights on health equity. They will also coordinate with regional working groups and engage with local and global partners, including the Centre for the Fourth Industrial Revolution (C4IR) Network and the Accelerators Network, and contribute to the Forum's Health Equity strategy and broader global efforts.

The Health Equity effort in Singapore as well as the proposed pilot place-based change programme(s) will link to a broader global Global Health Equity strategy and pre-existing place-based change work (launching by the GHEN in 2024). This will provide existing best practice and networks that can be adapted to the new regional efforts in ASEAN.

This role is based in Singapore and hosted within the NUS Saw Swee Hock School of Public Health. The Fellow will be involved in projects from the Forum’s Centre for Health and Healthcare. The Fellow will report directly to the NUS Principal Investigator, as well as to the Forum's Lead for Health Equity.

The fellowship is for 3 years (or until January 2028, whichever comes first, if applicable). Initially, a 1-year contract will be offered, renewable based on performance.

Main responsibilities

-Research and draft a White Paper on Singapore's health system transformation journey, including leading interviews with key Health Equity stakeholders and identifying future opportunities for collaboration.

-Develop and execute a dissemination plan for key learnings from the paper, including public engagement opportunities and convening interested stakeholders to share best practice.

-Support the broader GHEN team to incubate and manage a regional public-private working group focused on specific Health Equity gaps and opportunities identified in the research, to support the building on existing Singapore-led work in Southeast Asia to scale regional health equity development and innovation; and incorporating key topics in health equity such as access, trust, and impact measurement.

-Contribute to the Forum's broader global Health Equity strategy with Singapore-based insights and case studies - linking also to the Digital Healthcare Transformation Initiative in partnership with the Digital Healthcare Transformation Fellow.

-Drive partner engagement opportunities in Singapore with all relevant stakeholder groups across sectors.

Qualifications

Preferred requirements and experience

• Doctoral degree in relevant fields such as public health, healthcare policy, or medicine.
• At least 8 years of professional experience with expertise in health industry strategies and operations across various regions.
• In-depth knowledge of health equity, including clinical, technical aspects, social determinants, and impact measurement methodologies.
• Extensive experience collaborating with public and private sector stakeholders in Singapore on multi-sectoral partnerships.
• Proficient in analysing complex issues using business intelligence and making informed recommendations.
• Strong project management and coordination skills, with attention to detail and critical thinking abilities.
• High proficiency in English with excellent communication skills to present findings to English-speaking stakeholders
• Ability to navigate multi-stakeholder interests and drive impactful societal action.
• Experience in producing thought leadership content such as blogs, research papers, and reports.
• Proven interest in social issues, personal integrity aligned with World Economic Forum's mission, and willingness to travel internationally.

Please submit the following during job application:

1. Cover letter introducing themselves, career goals and earliest start date.
2. Brief statement of interest matching their skills and competencies to the requirements of the post (no more than 500 words).
3. Curriculum Vitae, containing contact information of three named referees.
4. A sample of published work that is the most relevant to the current vacancy, if available.

Recruitment is open immediately. Only shortlisted candidates will be contacted for interviews.

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Computer Vision
• Algorithms
• Circuits and Systems
• Programming Languages & Software Engineering

Only shortlisted candidates will be notified.

Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research.