Total 1,825 science rd research job vacancies

Job Overview

Joining the Fuller Impact team, you will be part of the pioneer team and play a key role in increasing the access to sustainability and ESG regionally. You will help design and implement sustainability and ESG strategies while contributing to Fuller Impact’s growth and long-term success.

We are in search of a passionate Sustainability Research Intern with a proactive and growth mindset approach.

Key Responsibilities

1. Sustainability & ESG Research

• Conduct research on sustainability trends, global frameworks (e.g., GRI, TCFD, ISSB), and relevant regulations to support Fuller Impact’s programmes and strategic initiatives.

2. Competitor & Market Analysis

• Benchmark sustainability tools, platforms, and services to identify gaps, opportunities, and innovation pathways aligned with Fuller Impact’s mission.

3. User & Stakeholder Research Support

• Assist in developing and analysing surveys, interviews, and user feedback for programme design and strategic decision-making.

4. Data & Framework Mapping

• Support the organisation and alignment of ESG indicators, metrics, and categories with recognised sustainability standards.

5. Content & Knowledge Development

• Contribute to the creation of knowledge assets such as glossaries, toolkits, guidance documents, training materials, and communication content.

6. Policy & Market Monitoring

• Track sustainability-related policy updates and market developments across regions, summarising insights for internal use.

7. Documentation & Presentation Support

• Assist in preparing internal briefs, research summaries, and presentation materials for stakeholders and project partners.

8. Stakeholder Engagement

• Support relationship-building with internal and external stakeholders to ensure effective collaboration and impactful outcomes.

9. Special Projects

• Support ad hoc initiatives across Fuller Academy and Fuller Solutions, including research, content development, and strategic innovation.

Requirements

● A final year student or recent graduate with a passion for sustainability and research.

● Able to commit to a minimum of 3 months.

● Business-level written and verbal communication skills, strong analytical and creative problem solving abilities.

● Excellent interpersonal skills, organizational, and operational skills.

● Strong attention to detail and ability to work independently.

Perks & Benefits

• Employee equity
• Nearby public transport
• Flexible working hours
• Free snacks / Happy hours
• Personal leave
• Open culture
• Personal development opportunities
• Remote work flexibility

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

The candidate will work in Prof Ong’s Research Group, where cutting-edge research is carried out on a wide range of topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety.

Key Responsibilities:

• Manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines.

• Carry out original research, including adapting existing and developing new mathematical models, scientific techniques and experimental protocols, and building software tools and carrying out empirical studies where appropriate.

• Write, publish and disseminate results, including give research presentations at meetings.

• Contribute and develop ideas for new research projects and for generating research income, and present detailed research proposals to senior researchers

• Act as a source of information and advice to other members of the group on scientific protocols and experimental techniques.

• Represent the research group at external meetings / seminars, either with other members of the group or alone.

• Assist the PI in mentoring, supervising and coordinating the activities of junior researchers and students of the research project.

• Assist the PI in research collaboration and coordinating activities with project partners and collaborators from other institutions.

• Work with industry and government partners to understand their research needs and formulate solutions.

• Contribute to outreach, communications and reporting as required to funders and stakeholders. Represent the research group at external meetings/seminars, either with other members of the group or alone.

• Help organise and actively participate in regular meetings and seminars within the group.

• Assist in raising research funds through grant applications.

• The postholder may have the opportunity to teach. This may include lecturing, small-group teaching, and tutoring of undergraduates and graduate students.

Job Requirements:

Essential Criteria

• Candidates must have a PhD (or be near completion) in Computer Science or Mathematics or Statistics with a strong background in one or more of the following: AI, machine learning, Bayesian statistics, programming languages, logic and algorithms, formal methods, probability and measure theory.

• For senior research fellow role, candidates must hold a relevant PhD with significant track record of research excellence and substantial research leadership experience.

• Strong publication record and familiarity with the existing literature and research in the field of statistical machine learning, and deep learning or large language models.

• Possess sufficient specialist knowledge, research skills and interests in statistical machine learning, and deep learning or large language models to work within established research programmes and contribute ideas and solutions.

• Ability to independently plan and manage a research project, including a research budget.

• Possess strong collaboration abilities in person, on paper and over electronic channels.

• Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

Desirable Criteria

• Experience of supervising staff.

• Experience of managing a research budget.

• Ability to raise research funds through making grant applications.

We regret that only shortlisted candidates will be notified.

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-AssistantAssociate-%28Food-Science-&-Technology%29/33173-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Zhou Weibiao on nutritional profile analysis and in vitro digestion of food materials under a project on alternative proteins, funded by the Singapore Food Story R&D Programme 2.0.

The main responsibilities of the position include:
The candidate shall join a multidisciplinary team at NUS to support the development of plant-based meat products with improved digestibility, nutritional quality, and functionality. This position will focus on establishing an advanced in vitro digestion approach to evaluate protein digestibility and conduct comprehensive nutritional profile analysis of alternative protein products.

In addition, he/she will help supervise final year undergraduate projects.

Qualifications

• Qualifications / Discipline:
B.Sc. (for Research Assistant appointment) or M.Sc. (for Research Associate appointment) in Food Science, Food Technology, or a closely related field from an internationally reputable university

• Skills:
Strong wet laboratory and analytical skills
Demonstrated capability of independent researcher
Good team player
Good scientific writing skills

• Experience:  

Research experience with good track record, including:
(1) hands-on experience in food analysis,
(2) lab safety and maintenance, 
(3) report preparation,
(4) working experience in a cross-disciplinary team.

Working experience with antinutrients analysis and/or in vitro digestion is highly desirable.

This position is only open to Singaporeans and Singapore Permanent Residents. 

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-Associate-%28Qualitative-Research%29/27411-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

About the Centre for Research in Health Systems Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based in independent evaluation with the Global Burden of Disease data. The Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yong Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships,  mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of Family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw Swee Hock School of Public Health.

About the role

The Research Associate will have the following duties:

• Contribution to the management of research activities including grant and IRB/DSRB applications, budgeting, planning and monitoring project timelines and generally support project management and coordination and liaising with internal and external stakeholders

• Conduct literature reviews, including collation and synthesis of the literature

• Support the design, data collection, analysis and interpretation of qualitative interviews and focus groups

• Contribute to and lead (where appropriate) protocol, manuscript and report timely writing, editing and submission. 
• Present work for feedback and dissemination at workshops or conferences locally and/or internationally

The post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and may have access to travel support to disseminate research outcomes at international academic conferences.

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives.

Job Responsibilities

The Research Associate will have the following duties:

• Contribution to the management of research activities including grant and IRB/DSRB applications, budgeting, planning and monitoring project timelines and generally support project management and coordination and liaising with internal and external stakeholders
• Conduct literature reviews, including collation and synthesis of the literature
• Support the design, data collection, analysis and interpretation of qualitative interviews and focus groups
• Contribute to and lead (where appropriate) protocol, manuscript and report timely writing, editing and submission. 
• Present work for feedback and dissemination at workshops or conferences locally and/or internationally

The post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and may have access to travel support to disseminate research outcomes at international academic conferences.

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives.

Qualifications

About you

Applicants will be evaluated based on the following selection criteria:

Qualifications

• Masters in Life Sciences, Health & Social Sciences

Experience

• Experience in planning, managing and implementing healthcare-related research projects, from conception to completion, in a University setting (essential)

• • Demonstrated experience in using a range qualitative research methods (essential)
  • Track record of publishing in international peer-reviewed journals (desirable)
  • Researchers with existing research activities related to Value Based Health Care, patient reported outcomes or patient reported experiences of care are particularly encouraged to apply

Skills and Personal Attributes:

• • Strong communication skills in English, both written and spoken (essential)
  • Ability to work independently and as part of a multidisciplinary team (essential)
  • Highly developed problem-solving skills and adept at managing complex problems (essential)
  • Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
  • Ability to work with culturally diverse populations (essential)

Interested candidates should submit a detailed CV (personal particulars, academic and employment history, full list of publications, contacts details of three (3) referees) and cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above to this job portal. Only shortlisted candidates will be notified. Applications will be considered on a rolling basis until a suitable candidate is found.

The application should include a CV and a cover letter that describes the applicant’s specific interest in joining the team. Only shortlisted candidates will be contacted.

Informal enquiries can be made to Prof Jose M Valderas at jmvalderas@nus.edu.sg.

Skills

Skills and Personal Attributes:

• • Strong communication skills in English, both written and spoken (essential)
  • Ability to work independently and as part of a multidisciplinary team (essential)
  • Highly developed problem-solving skills and adept at managing complex problems (essential)
  • Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
  • Ability to work with culturally diverse populations (essential)

Interested candidates should submit a detailed CV (personal particulars, academic and employment history, full list of publications, contacts details of three (3) referees) and cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above to this job portal. Only shortlisted candidates will be notified. Applications will be considered on a rolling basis until a suitable candidate is found.

The application should include a CV and a cover letter that describes the applicant’s specific interest in joining the team. Only shortlisted candidates will be contacted.

Informal enquiries can be made to Prof Jose M Valderas at jmvalderas@nus.edu.sg.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Senior-Research-Scientist-%28Cancer-Science-Institute%2C-Prof-Ashok's-Lab%29/33179-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Duties & Responsibilities

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

Requirements

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

Interested applicants are invited to apply directly at the US 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-%28Department-of-Materials-Science-and-Engineering%29/33183-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Perform research in neuromorphic computing devices.

Qualifications

The successful candidate should possess the following:
•    A PhD in Materials Science, Chemical Engineering, Chemistry, Physics, or related fields
•    Highly motivated, committed, and capable of working independently as well as collaboratively
•    Strong publication record in peer-reviewed journals
•    Good communication skills in English (both written and oral)
•    Prior experiences with the following will be a plus
•    Optical instrumentation, single-molecule/ super-resolution microscopy, magnetic/optical tweezers, ultrafast spectroscopy, or other in-situ operando imaging tools
•    Machine learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL
•    Organic synthesis, polymer chemistry, synthesis of inorganic nanomaterials, micro/nano-fabrications, genetic engineering of microorganisms
•    Techno-economic analysis of sustainability technologies

For postdoctoral fellows, compensation and benefits package will be internationally competitive (including annual base salary, performance-based bonus, medical insurance and vacation leave), and will be commensurate with experiences and qualifications. 

Interested candidates are encouraged to email a copy of CV (with a list of publications), reprints of three selected publications, as well as contact information of 2-3 references to the NUS Career Portal.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Read, understand, and summarize the latest literature on diffusion models, especially their use in sampling from un-normalized probability distributions

• Read, understand, and summarize the latest literature on inference in state-space models with particle filters

• Devise, implement, and inspect theoretical properties of new methods for inference using diffusion models

• Publish results in reputable international journals and conferences

• Present results and establish new research networks at reputable international conferences

• Participate in internal events (reading groups, seminars, etc.) as required

Job Requirements:

• Preferably Master’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

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-%28Department-of-Materials-Science-and-Engineering%29/33184-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Perform research in high-throughput operando imaging

Qualifications

The successful candidate should possess the following:
•    A PhD in Materials Science, Chemical Engineering, Chemistry, Physics, or related fields
•    Highly motivated, committed, and capable of working independently as well as collaboratively
•    Strong publication record in peer-reviewed journals
•    Good communication skills in English (both written and oral)
•    Prior experiences with the following will be a plus
•    Optical instrumentation, single-molecule/ super-resolution microscopy, magnetic/optical tweezers, ultrafast spectroscopy, or other in-situ operando imaging tools
•    Machine learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL
•    Organic synthesis, polymer chemistry, synthesis of inorganic nanomaterials, micro/nano-fabrications, genetic engineering of microorganisms
•    Techno-economic analysis of sustainability technologies

For postdoctoral fellows, compensation and benefits package will be internationally competitive (including annual base salary, performance-based bonus, medical insurance and vacation leave), and will be commensurate with experiences and qualifications. 

Interested candidates are encouraged to email a copy of CV (with a list of publications), reprints of three selected publications, as well as contact information of 2-3 references to the NUS Career Portal.

Company Overview / Employee Value Proposition

Curio is an online tuition agency founded by experienced educators in Singapore. We offer tutors a fair commission model and use technology to connect tutors with students, supporting accessible, effective learning while reducing environmental impact.

Job Summary

Unlike other tuition agencies which take a full 50% commission of your first month's earnings, Curio only takes 25% (your first lesson) with no hidden/additional fees. Join Curio as a tutor and benefit from a low 25% commission fee, with all earnings from the second lesson onward paid fully to you. We provide job postings via Telegram and support tutors with respect and transparency.

Responsibilities

• Deliver tutoring sessions that meet students’ academic needs and learning goals
• Communicate effectively with students and parents to track progress and adjust teaching methods
• Use Curio’s platform and Telegram channel to receive and manage job postings efficiently
• Maintain professionalism and reliability in scheduling and conducting lessons
• Uphold Curio’s values of respect for tutors’ work and commitment to quality education
  
• Step 1: Register free at curio.sg

About the Job

We are in search of a highly motivated and accomplished Research Assistant to join our team and significantly contribute to our ongoing research project "Understanding and Generating Interleaved Image-Text Persuasion". The successful candidate will collaborate closely with our research team, working on the development of multimodal AI. This role offers an exciting opportunity to engage in cutting-edge research in multimodal learning and have a substantial influence on the field.

What You’ll Do

• Conduct literature reviews on multimodal persuasion, visual communication, and the evaluation of large vision-language models.
• Support the design and development of datasets and evaluation frameworks for understanding interactions between images and text.
• Assist in evaluating and enhancing multimodal models for analysing and generating interleaved image-text content
• Summarize experimental results and contribute to the preparation of research reports, presentations, and academic publications.

Who We’re Looking For

• Bachelor degree with background in computer science, data science, artificial intelligence, or a related field.
• Strong interest in multimodal AI, vision-language models.
• Basic experience with Python and machine learning frameworks such as PyTorch is preferred.
• Familiarity with natural language processing, computer vision, or large language models is an advantage.
• Good analytical, communication, and organizational skills.
• Ability to work independently while collaborating effectively with a research team.

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.

The Luo Lab, based at LKCMedicine, Nanyang Technological University (NTU), Singapore is seeking a highly motivated, goal-driven, and team-oriented Research Fellow to join our research program. Our research focuses on elucidating the fundamental mechanisms of RNA virus infection and host defense, as well as structure-guided antiviral development. We employ interdisciplinary approaches spanning biochemistry, structural biology, virology, and cell biology. The NTU Institute of Structural Biology provides outstanding infrastructure, including state-of-the-art facilities for high-resolution cryo-EM/ET, X-ray crystallography, NMR, and a wide range of complementary biophysical techniques. We offer a dynamic and intellectually stimulating research environment that supports cutting-edge science and long-term career development. The position provides extensive opportunities for training in complementary methodologies, as well as for developing mentoring and teaching experience through close interaction with graduate students and supervision of undergraduate researchers.

Key Responsibilities:

• Conduct independent and collaborative research in structural biology and/or RNA virus–host interactions.

• Design, execute, and analyze experiments using structural, biochemical, and cell-based approaches.

• Contribute to manuscript preparation, grant writing, and presentation of research findings.

• Mentor graduate and undergraduate students and actively participate in team-based research activities.

Key Competencies and Requirements:

• A recent Ph.D. degree (or equivalent) in a relevant field, such as structural biology (cryo-EM/ET, X-ray crystallography), virology, molecular biology, or cell biology.

• Prior research experience and hands-on laboratory training in one or more of the following areas: structural biology (cryo-EM/ET), cell biology, or molecular and cellular virology.

• Strong self-motivation, excellent organizational skills, and effective written and oral communication abilities.

• Demonstrated ability to work independently while collaborating effectively within a diverse and interdisciplinary research team.

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

The Position

• Build trusted partnerships with external stakeholders by driving peer-to-peer exchange of knowledge and improving disease awareness/understanding (in alignment with therapeutic-area/asset strategy) to facilitate appropriate patient-management decisions.
• From the clinical development phase onwards, inform strategic decisions, support organizational goals, and help improve patient care, by developing a deep understanding of the therapeutic area and healthcare landscape (including stakeholder networks and patient care pathways), and gathering actionable insights.
• Identify the needs of external stakeholders, recognize opportunities for healthcare solutions and data-generation, and proactively address the needs by collaborating with internal stakeholders and leveraging external partnerships.

Tasks & Responsibilities

Stakeholder engagement

• From the clinical development phase onwards, identify, profile, and strategically engage with relevant external stakeholders in the territory, to build long-term partnerships and facilitate early clinical adoption. The stakeholders may include (but are not limited to) External Experts (EEs), Healthcare Providers (HCPs), Centers of Excellence (CoEs), Healthcare Organizations (HCOs), payors, key decision makers, patients and Patient Advocacy Groups (PAGs).
• Develop a deep understanding of stakeholder network, healthcare landscape, and patient-care pathways, in collaboration with internal cross-functional team members. Utilize this understanding to develop and execute a territory-specific strategic stakeholder engagement plan that supports the TA/asset Scientific Objectives (SOs) and priorities, and is aligned to Integrated Asset Plan (IAP).
• Understand and apply the skills and behaviors of the Hybrid Customer Engagement Model for Medical (H-CEMM) and Strategic Account Management (SAM) while engaging with external stakeholders.
• Communicate scientific data and asset value-proposition effectively, using omnichannel orchestration, ensuring that individual preferences and needs of external stakeholders are met.
• Recognize the gaps in patient journeys, and identify opportunities that aim to improve referral pathways.
  Lead/support activities such as medical education, preceptorships, round-table discussions, advisory boards and congresses (scientific sessions & Medical booth)

Gathering insights

• Proactively gather & record action-focused insights related (but not limited) to disease management, healthcare landscape, patient journey, stakeholder network, clinical data gaps, educational gaps, clinical development, competitors, future trends, content feedback, efficacy/safety of our medicines, health equity, market access, patient outcomes, stakeholder needs, and product use in practice.
• Share insights internally to Medical Affairs and cross-functional teams (as appropriate), to stimulate scientific exploration, and identification of collaborative opportunities.
  Develop and execute (or support development and execution of) strategies/actions based on the insights.

Collaborations

• Share learnings with internal cross-functional teams, and collaborate to maximize opportunities.
• Support Clinical Development & Operations team in activities such as site/investigator identification, site-initiation, and identification of recruitment gaps.
• Collaborate with Market Access/Healthcare Economics & Outcomes Research/Healthcare Affairs team for discussions on scientific data and asset value-proposition.
• Explore the needs & challenges of patients, in collaboration with Patient Engagement team.
• Support the implementation of Early Access (or related) Programs.
• Support the development of resources and delivery of trainings for internal medical and non-medical functions.
• Lead/support identification & briefing of external speakers.
• Collaborate with, or support, internal and external stakeholders for data generation, including real world evidence (e.g., for External Collaborative Research,
• Observational Non-Interventional Studies, and Investigator Initiated Studies).

About our future employee

• Bachelors in the field of life/health science or other Medicine-related discipline. Possessing an advanced degree (e.g., MD, PhD, MBA) will be an advantage.
• At least 1–2 years of experience in the pharmaceutical industry or in a Medical Science Liaison (MSL) role or related scientific/clinical area; experience in the metabolic therapeutic area is an advantage.
• Ability to collaborate with different internal and external stakeholders, to develop & strengthen trusted partnerships.
• Excellent interpersonal and communication skills, both written and verbal.
• Ability to use technical and digital tools including Microsoft Office 365 applications, and an aptitude for learning new software, to perform all aspects of the job.
• Ability to manage time and resources optimally .
• Demonstrates proactive attitude, growth mindset, agility, emotional intelligence, teamwork, trustworthiness, resilience, accountability and leadership.
• Willingness to travel (within the territory/nation, and occasionally internationally).
• Ability to fulfil key performance indicators (KPIs) associated with respective responsibilities.
• Knowledge of local healthcare systems and clinical practices related to patient care – preferred.
• Preference may be given to candidates who do not require work visa sponsorship.

Responsibilities

·       Design and deliver a rigorous, engaging, and future-focused Computer Science curriculum aligned with the Cambridge International Curriculum and the school's educational philosophy.

·       Teach Computer Science across a range of year levels, from Year 6 through to IGCSE and A Level/IB Diploma, fostering computational thinking, creativity, and problem-solving skills.

·       Prepare students for IGCSE Computer Science examinations, commencing with the first examination cohort in May/June 2027, through structured and challenging instruction.

·       Work closely with Junior School colleagues to ensure continuity and progression from the Coding and Robotics programme introduced from Year 3 onwards.

·       Teach a second subject, such as Mathematics, Physics, or another STEM-related discipline, up to Key Stage 3 or 4 where required.

·       Serve as a Form Tutor, supporting students’ academic, personal, and social development.

·       Establish and maintain strong partnerships with parents, providing regular updates on student progress and addressing concerns in a professional and timely manner.

·       Integrate innovative teaching methodologies and educational technologies to enhance student learning and engagement in Computer Science.

·       Foster an inclusive, supportive, and stimulating classroom environment that accommodates diverse learning needs, including students for whom English is an Additional Language (EAL).

·       Contribute to the co-curricular programme through activities such as coding clubs, robotics teams, hackathons, cybersecurity initiatives, and STEM competitions.

·       Participate actively in professional development opportunities and contribute to the sharing of best practices within the department and wider school community.

Job Requirements

·       Strong subject knowledge in Computer Science, with the ability to deliver high-quality instruction to learners of varying abilities.

·       Proven experience teaching Computer Science to students aged 11–16, including preparation for IGCSE or equivalent external examinations.

·       Excellent communication and interpersonal skills, with the ability to build positive relationships with students, parents, and colleagues.

·       Cultural awareness and adaptability, with the ability to work effectively within an international school environment.

·       Strong organisational and time-management skills, with the capacity to manage multiple responsibilities in a dynamic setting.

·       Proficiency in relevant programming languages (e.g., Python, Java) and educational technologies that support Computer Science learning.

·       Demonstrated ability to motivate, challenge, and inspire students to achieve their full potential.

·       Ability to teach a second STEM subject, such as Mathematics, Physics, or a related discipline, up to Key Stage 3 or 4.

·       Experience in curriculum development, departmental leadership, or coordinating initiatives within a Technology or Computing Department.

·       Experience supporting EAL learners and implementing strategies that facilitate language development within technical subject areas.

·       Familiarity with concept-based, inquiry-based, and project-based learning approaches.

·       Previous experience working in an international school setting.

·       Passion for promoting interdisciplinary STEM learning, including emerging areas such as artificial intelligence, robotics, data science, and cybersecurity.

Please submit your updated resume in Word format by using the Apply Now Button.

We regret that only shortlisted candidates will be notified.

Email resume to She••••••••@peopleprofilers.com

People Profilers Pte Ltd, 20 Cecil Street, #08-09, PLUS Building, Singapore 049705.

Tel: 69•• •741

http://www.peopleprofilers.com

EA License Number: 02C4944

Registration Number: R1106021

Posting Personnel: Yeoh Xianni Sherry

REF: JOB-00418

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

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

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

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

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

Your new company

Our client in public sector is looking for an experienced Data Science Manager to join their team.

Your new role

• Translate strategic direction into actionable ML/AI digital transformation plans, ensuring scalable architecture and responsible AI standards.
• Define and drive CIO Office outcomes and OKRs, aligning with HQ goals and executing long-term roadmaps.
• Identify inefficiencies, anticipate risks, and take decisive action to improve operations and seize opportunities.
• Build cross-functional partnerships and foster a culture of innovation, collaboration, and continuous improvement.
• Develop and manage high-performing teams through coaching, hiring, and creating an environment for sustained performance.

What you'll need to succeed

• Bachelor’s or Master’s degree in Computer Science, Statistics, AI, or related quantitative field.
• Deep expertise in satellite data, cloud infrastructure, and government security requirements.
• 10+ years of technical leadership experience in data analytics, database management, and software development.
• Knowledge of space systems such as mission control software, orbital analysis, and space weather tools (preferred).
• Excellent communication and strategic thinking skills, with the ability to translate complex concepts into actionable plans, plus program management experience.

What you'll get in return

In return, you'll be part of an organization that values its employees. You’ll be rewarded with:

• Structured career growth and plenty of developmental opportunities
• Hybrid and stable working environment

What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology, contact Yuki Cheung or email yuki.cheung@hays.com.sg. Referrals are welcome.

At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse backgrounds to apply.

EA Reg Number: R22110258 | EA License Number: 07C3924 | Company Registration No: 200609504D