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

As a Senior Scientific Officer, you will be tasked but not limited to planning and executing the grant-making process, annual budgeting, exploring funding opportunities, and managing documents and deadlines. You will need to provide consultation and administrative support to Programmatic Theme Leads, Principal Investigators and other faculty on operational and grant related matters. You will serve as liaison with NUS research offices, Office of Legal Affairs, Industry Liaison Office and external funding agencies on issues of intellectual property, project and research collaboration agreements, MTAs, NDAs, etc. You will also be working closely with the Outreach, HR and Finance department on grant administrative and research events.

Duties and Responsibilities

Research Grant Management and Coordination

• Assist with grant applications and managing the review process with proper documentation on IRB/ DSRB, IACUC ethics/safety & risk protocols, regular progress/ appraisal/ other research regulatory requirements
• Promote the development of external funding strategies for research, academic projects, and institutional priorities
• Provide resources and assistance to faculty, staff, and administrators in searching for external funding opportunities, budget preparation and updating biosketches of Principal Investigators
• Assist with preparation and submission of requests for external funding, including grants, sub-awards, and contracts
• Ensure that policies and procedures for compliance with research-related regulations are up-to-date and reviewed regularly.
• Provide bibliometrics on research grants as required

Research Program & Project Management

• Provide strategic input for the development of proposals for project and budgeting
• Develop, manage, and evaluate research themes through direct collaboration with Principal Investigators, clinicians and Theme Leads to strengthen the strategy for each of the projects and coordinate these toward building a cohesive program
• Coordinate the development and maintenance of effective research themes group communication systems
• Preparation of budgets for research grants, virements and tracking of grants
• Planning and scheduling of research meetings, writing meeting minutes and coordinating research/other meetings as well as following up decisions made and other necessary actions as required
• Ensure good and tidy document housekeeping and timely correspondence:
  Maintain letters of award, approvals, amendments, etc.
  Maintain grants data and progress reports

Qualifications

• At least PhD in Life Sciences, Medicine, or related field
• Preference will be given to candidates with experience in:
  Science Project Management
  Research Grant Management or Administrative
  Scientific legal matters e.g., MTA, service agreements, RCA, patent filing etc.
• Able to work independently, effectively and a good team player
• Proactive, meticulous, analytical, resourceful and organized
• Demonstrated ability to deliver results to the appropriate quality and timeline metrics.
• Excellent writing and reporting ability
• Excellent communication and presentation skills
• Proficient in Microsoft Suite (including Word, PowerPoint, Excel, Outlook, and Teams), Adobe and Zoom applications

Resposibilities :

- Responsible for facilitating order management transactions

- Creating sales order, delivery orders and coordinating distribution and shipment efforts using SAP system

- Issues purchase orders and liaise with overseas suppliers to ensure smooth delivery of shipments

- Generation reports and provide general support to other departments

- To assist sales account managers in trade processing and/or customer servicing as needed

- Review and proactively seeking improvements to current operations

- Participating in implementations of new Operational Excellence Initiatives

- Perform other administrative duties as assigned

Requirements :

- Candidate must possess at least Diploma/Advanced/Higher/Graduate Diploma/Degree in any field.

- At least 1 Year of working experience in the related field is required for this position.

- Experience using SAP is an advantage

- Proficiency in Microsoft Word, Powerpoint and Excel

- Good oral and written (English), as well as organizational skills

- Optimistic in approaching/solving issues

- Able to work independently

- A good team player who is proactive and meticulous

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 selected candidates will be assigned to teach tutorials for specific modules for undergraduates. They will be guided by the module coordinators or instructors.

Responsibilities:

• Participate in regular meetings with the module coordinators and other TAs
• Support class management and administration
• Conduct tutorials or lab sessions
• Assist in setting up tutorial and assessment questions
• Marking of course assignments

Requirements:

• A good honours degree or Master’s degree in a relevant discipline from a reputable university (e.g., Computing/Engineering)
• Possesses excellent verbal and written communication skills and be able to effectively facilitate learning for undergraduate students
• Strong interest in teaching and preferably with proven teaching experience (especially at the tertiary level)

Job Description

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
   
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
   
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.
   

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

Admin Executive & Receptionist

ㅤEmbark on a meaningful career to make a real difference in the lives of children!

ㅤScience Studios is a leading education centre specialising in the teaching of primary school science through engaging experiments and excellent printed materials. Learning at Science Studios is also supplemented by, and enhanced through, proprietary online resources.

ㅤWe believe children should enjoy learning in order to achieve better grades. We go the extra mile to carefully design, prepare, and deliver each lesson so that students are engaged and have fun learning. For many students, coming to Science Studios is one of the highlights of their week! If you want a positive work environment where you can make a real difference, this is the right place for you!

ㅤWe currently have 3 branches across Singapore: West (Bukit Timah Plaza), Central (Balmoral Plaza) and East (Eastgate at Katong). Do let us know if you prefer to work at one of the locations.

Job Description:

• Communicate with customers regarding SS programmes, fees, replacement classes, etc.

• Prepare apparatus for experiments. This includes purchasing and maintaining inventory.

• Mark quizzes and monitor students’ progress to help them achieve better grades.

Requirements

+ Passionate about enriching children's lives through effective education.

+ Maintain high standards with a strong attention to detail. Thorough and accurate when accomplishing assigned tasks.

+ Able to work one and a half weekend days (Sunday from 12 noon, and Saturday).

[2 weekdays, including Fridays, will be rest days. You’ll be able to avoid weekend crowds on your rest days. Furthermore, there is no need to work on most weekends in June and December.]

JOB DESCRIPTION

The Science and Engineering Research (SER) Directorate is looking to hire a resourceful and motivated individual, who is passionate about supporting the delivery of impactful outcomes through Science and Technology, under the Research, Innovation and Enterprise (RIE) 2025 plan. The SER Directorate is the nexus of policy, corporate reporting and economic analysis to ensure that SERC delivers on its strategic thrusts of value-creation and socioeconomic impact to Singapore. You will work closely with key stakeholders internally and externally to achieve the outcomes of various programmes, and develop a deep understanding of R&D policies and their wider impact on the research ecosystem in Singapore. You will acquire skills in interpreting data to develop policies, as well as develop deeper organisational awareness. The ability to be agile and thrive in a changing work environment is a must!

As an officer in RPP/A&O, your key areas of work would include the following:

Resource and Performance Monitoring

1. Support Science and Engineering Research Council (SERC) senior management in the governance and allocation of resources;

2. Synthesise data and develop recommendations to support executive decision making;

3. Support the review and improvement of SERC strategy, operations and processes, including the improvement of SERC investments and activities;

4. Develop specific measures of success with relevant experts;

5. Conduct financial modelling and monitor budgets for SERC entities;

6. Analyse and track performance of SERC entities in response to overall strategies.

Corporate Planning

7. Support SERC senior management in key meeting platforms and monitor strategic and management issues across SERC;

8. Organise events for SERC management for business reviews, and charting of strategic directions for SERC entities.

Job Requirements

9. Relevant working experience in the public sector, strategic and/or corporate planning would be an advantage

10. Bachelor's degree or equivalent qualification, preferably in Science, Technology, Engineering, Mathematics (STEM), or Business.

11. Ability to translate concepts into implementation plans

12. Excellent communication (verbal and written) and interpersonal skills

13. Proficient in Microsoft Office (Powerpoint, Word, Excel and Power BI or equivalent)

14. Strong strategic and analytical thinking skills

15. Resourceful and motivated

16. Pro-active, quality conscious, attentive to detail and result-oriented

17. High learning agility and adaptability

18. Able to work independently and in a team to deliver results under tight timelines

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 Genome and Data Analytics Core (GeDaC) at the Cancer Science Institute of Singapore (CSI) is actively seeking talented individuals for positions in Genomic Data Science and Bioinformatics. This is an exciting opportunity to join a dynamic team focused on leveraging cutting-edge technology to advance cancer genomics research and precision oncology.

Responsibilities

1. Collaborate with software engineering experts to build and optimize components of the cloud-based (AWS) platform for automated processing and analysis of large cancer genomics datasets.
2. Provide on-demand bioinformatics support for CSI/NUS investigators.
3. Participate in diverse and innovative projects, applying biological and technical expertise.
4. Contribute to state-of-the-art machine learning/artificial intelligence (ML/AI) and big data initiatives, such as developing APIs for scalable cancer genome analytics.
5. Collaborate with local and multinational industrial stakeholders to expand skills and networks.

Qualifications

• Masters or PhD in bioinformatics, computational biology, genomics, or a related field.
• Demonstrated experience in genomic data analysis, preferably in a research or industry setting.
• Track record of publications and/or projects in the field of cancer genomics or related areas.
• Ability to work effectively both independently and as part of a multidisciplinary team.

More Information

CSI GeDac Core Facility: https://csi.nus.edu.sg/our-research/core-facilities/genomics-and-data-analytics-core-gedac/

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. At least 2 referees including their name, contact information (email) and relationship to applicant

The Science and Engineering Research (SER) Directorate is looking to hire a resourceful and motivated individual, who is passionate about supporting the delivery of impactful outcomes through Science and Technology, under the Research, Innovation and Enterprise (RIE) 2025 plan. The Strategic Planning unit is the nexus of policy, corporate reporting and economic analysis to ensure that SERC delivers on its strategic thrusts of value-creation and socioeconomic impact to Singapore. You will work closely with key stakeholders internally and externally to achieve the outcomes of various programmes, and develop a deep understanding of R&D policies and their wider impact on the research ecosystem in Singapore. You will acquire skills in interpreting data to develop policies, as well as develop deeper organisational awareness. The ability to be agile and thrive in a changing work environment is a must!

As a Senior Manager/Manager of Strategic Planning, your key areas of work would include the following:

Resource and Performance Monitoring

1. Support Science and Engineering Research Council (SERC)'s senior management in the governance and allocation of resources;

2. Synthesise data and develop recommendations to support executive decision making;

3. Support the constant review and improvement of SERC's strategy, operations and processes, including the improvement of SERC's investments and activities;

4. Develop specific measures of success with relevant experts;

5. Conduct financial modelling and monitor budgets for SERC entities;

6. Analyse and track performance of SERC entities in response to overall strategies.

Corporate Planning

7. Support SERC's senior management in key meeting platforms and monitor strategic and management issues across SERC;

8. Organise events for SERC's management for business reviews, and charting of strategic directions for SERC entities.

Job Requirements

9. Relevant working experience in the public sector, strategic and/or corporate planning would be an advantage

10. Ability to translate concepts into implementation plans

11. Excellent communication (verbal and written) and interpersonal skills

12. Proficient in Microsoft Office (Powerpoint, Words, Excel and Power BI or equivalent)

13. Strong strategic and analytical thinking skills

14. Resourceful and motivated

15. Pro-active, quality conscious, attentive to details and result-oriented

16. High learning agility and adaptability

17. Able to work independently and in a team to deliver results under tight timelines

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 Genome and Data Analytics Core (GeDaC) at the Cancer Science Institute of Singapore (CSI) is actively seeking talented individuals for positions in Genomic Data Science and Bioinformatics. This is an exciting opportunity to join a dynamic team focused on leveraging cutting-edge technology to advance cancer genomics research and precision oncology.

Responsibilities

1. Collaborate with software engineering experts to build and optimize components of the cloud-based (AWS) platform for automated processing and analysis of large cancer genomics datasets.
2. Provide on-demand bioinformatics support for CSI/NUS investigators.
3. Participate in diverse and innovative projects, applying biological and technical expertise.
4. Contribute to state-of-the-art machine learning/artificial intelligence (ML/AI) and big data initiatives, such as developing APIs for scalable cancer genome analytics.
5. Collaborate with local and multinational industrial stakeholders to expand skills and networks.

Qualifications

• Masters or PhD in bioinformatics, computational biology, genomics, or a related field.
• Demonstrated experience in genomic data analysis, preferably in a research or industry setting.
• Track record of publications and/or projects in the field of cancer genomics or related areas.
• Ability to work effectively both independently and as part of a multidisciplinary team.

More Information

CSI GeDac Core Facility: https://csi.nus.edu.sg/our-research/core-facilities/genomics-and-data-analytics-core-gedac/

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. At least 2 referees including their name, contact information (email) and relationship to applicant

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 Summary

Being a Donor Relations Manager, you will have to effectively build meaningful connections with Cancer Science Institute of Singapore (CSI) and the University's donors while implementing personalized donor engagement plans that strategically aligns with CSI's vision, mission and ongoing research initiatives. You will also need to demonstrate a genuine passion for philanthropic work and a strong belief in the mission and vision of higher-education institutions. You must be able to showcase a strong ability to build and maintain relationships with diverse individuals, including donors, colleagues, and stakeholders. This requires the possession of exceptional written and verbal communication skills to articulate the goals and impact of CSI effectively to potential donors.

Duties and Responsibilities

1. Program Development:Develop and implement effective donor engagement programs that align with organizational fundraising objectives.
   Create processes to systematically engage, cultivate, and recognize donor constituencies.
   
2. Donor Relations Initiatives:Oversee comprehensive donor relations initiatives, including communication strategies, recognition programs, and stewardship efforts.
   Ensure that donor engagement activities are in line with organizational stewardship objectives.
   
3. Collaboration and Communication:Serve as the communicative link between various departments and faculty members to optimize donor engagement efforts.
   Facilitate effective communication and collaboration to enhance the overall donor experience.
   
4. Reporting and Documentation:Compile reports from different faculties for donors, providing them with transparent and detailed insights into the impact of their contributions.
   Ensure accurate and timely documentation of donor-related information.
   
5. Editorial Excellence:Edit and proofread donor relations materials to ensure they meet the highest editorial standards.
   Craft compelling and accurate narratives that effectively communicate the impact of donors' contributions.
   
6. Donor Contact Point:Serve as a primary contact point for donors, addressing their inquiries, concerns, and providing timely updates on the impact of their support.
   
7. Proactive Relationship Building:Play a proactive role in seeking support from donors and building strong working relationships with various stakeholders within the University.
   Identify opportunities for collaboration and partnership that align with the University's and donors' interests.
   
8. Flexibility and Additional Duties:Undertake and perform additional duties as assigned, showcasing flexibility and adaptability to evolving needs within the donor relations role.
   
9. Stakeholder Engagement:Build and maintain strong working relationships with internal and external stakeholders to enhance donor engagement and support.
   
10. Data Management and Analysis:Utilize data analytics and management tools to assess the effectiveness of donor engagement initiatives and make informed recommendations for improvement.
    
11. Budget Management:Manage budgets associated with donor relations programs, ensuring efficient use of resources to maximize impact.
    
12. Adherence to Ethical Standards:Adhere to ethical standards and guidelines in all donor relations activities, ensuring transparency and integrity.
    

Qualifications

• Degree from a recognised University.
• Strong written and verbal communication skills
• Minimum 8 years’ experience in professions that demonstrate customer engagement skills
• Excellent team player and ability to manage multiple stakeholders with excellent interpersonal and problem-solving skills
• Experience in service industry is an added advantage
• Values philanthropy and a strong desire to contribute to community building

More Information

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. At least 2 referees including their name, contact information (email) and relationship to applicant

CSI Website: https://csi.nus.edu.sg/

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 successful candidate will work with A/P Dr Sergio Hernandez Marin in the Data Analytics Consulting Center on both internal-facing (NUS) and external facing (startups, SMEs, MNC) Data Science and Data Architecture roles.

The main responsibilities of the position include:

1. Data Analysis and Modeling:
- Utilize advanced statistical and machine learning techniques to analyze complex datasets.
- Develop predictive models and algorithms to extract meaningful insights and patterns.

2. Data Architecture and Management:
- Design and implement robust data architectures to support the project's data needs.
- Work on data integration, ensuring seamless flow and accessibility of data across different components of the project.

3. Collaboration with Interdisciplinary Teams:
- Engage with a diverse team of stakeholders, to integrate data science solutions into the broader project framework.
- Communicate findings effectively to non-technical stakeholders.

4. Teaching Short Courses on Data Science:
- Design and deliver short courses on data science topics to internal team members or external stakeholders.
- Provide training sessions on the application of data science methodologies and tools.

5. Experimental Design and Hypothesis Testing:
- Contribute to the formulation of research hypotheses and experimental design.
- Implement and conduct experiments, ensuring the rigor and reproducibility of the research process.

6. Software Development and Implementation:
- Develop custom tools and software solutions to facilitate data analysis and visualization.
- Ensure the scalability and efficiency of software components in handling large datasets.

7. Documentation and Reporting:
- Maintain comprehensive documentation of methodologies, data sources, and analysis processes.
- Prepare regular progress reports and contribute to academic publications.

8. Stay Current with Emerging Technologies:
- Keep abreast of the latest advancements in data science, machine learning, and relevant technologies.
- Integrate innovative approaches and tools to enhance the project's methodologies.

Qualifications

• Qualifications / Discipline:
Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field, with a specialization in Data Engineering and Data Architecture.

• Skills:
1. Data Science and Statistics Proficiency:
- Demonstrated expertise in data science methodologies and statistical analysis.

2. Programming Skills:
- Proficiency in programming languages such as Python, SQL, and Javascript.

3. Data Engineering and Data Architecture:
- Strong background and practical experience in Data Engineering and Data Architecture, encompassing the design and implementation of robust data structures.

4. Data Visualization:
- Proven experience using data visualization tools to present complex data in a comprehensible manner.

5. Database Management Systems:
- Hands-on experience with various database management systems, ensuring efficient data storage and retrieval.

6. Cloud Platforms:
- Familiarity with cloud platforms and the ability to leverage cloud-based solutions for data analysis and storage.

7. Communication and Collaboration:
- Excellent communication skills to convey technical concepts to both technical and non-technical stakeholders.
- Proven ability to collaborate effectively within a diverse team.

• Experience:
At least 3-5 years of experience in Data Science / Data Engineering

Teaching & Preparation

• Prepare and conduct lectures, tutorials/workshops and laboratory sessions to certificate, diploma and undergraduate students (including overseas, if required).
• Monitor student progress through the application of assessment strategies that support appropriate feedback and skills development.
• Contribute to the development of intellectual property for the School.

Exam QA & Moderation

• Administer the setting and marking of coursework and examination.
• Review and ensure the quality of examination papers under area(s) of specialisation.
• Conduct objective assessments on examination appeal cases in the area of sports science.

Lecturer Management

• Assist in the management and development of life science academics.
• Review assignment of proposed life science teaching assignments.
• Conduct classroom observation as required

Student Management

• Engage in student development by providing strong learning support and monitoring of students’ academic performance in life science.
• Advise students with respect to academic performance, career opportunities and the pursuit of advanced studies in the area of life science.

Curriculum Management & Development

• Contribute to the review, design and development of life science programmes and modules to ensure continued relevance and quality improvement of curricula.
• Programme/ Module leader for life science courses.
• Develop course materials for new modules as required.
• Prepare course/ module review reports of internal and external life science programmes.
• New programme development preliminary module mapping tasks.

External Partners Liaison

• Assist in liaising with university course coordinators on academic matters related to life science courses where necessary.
• Attend visits by programme partners and academics in life science.

Learning & Development

• Contribute to departmental, faculty, or institution- -wide working groups or committees as requested.
• Maintain own continuing professional development, in addition to training and development provided by the institution.

Others

• Any other ad-hoc duties as required by the company from time to time.

Job Requirements

• Master in Life Sciences or equivalent. At least a pass at GCE ‘O’ Level or its equivalent in the language medium of the programme/module.
• 1-2 years of working experience
• Strong interpersonal skills and time management skills
• Strong oral and writing skills
• Willing to work shift hours (e.g. late evenings and weekends when needed)

We regret to inform you that only shortlisted candidates will be contacted.

Middle and High School Science Teacher

Start Date: 1st August 2024

The German European School Singapore (GESS) is looking for experienced Middle and High School Science Teacher for Grades 6-12.

In your teaching commitment at GESS, you will need to take on the following responsibilities where you will be expected to:

· Develop a strong relationship with all parents and students

· Be a role model who mentors and guides students to ensure they meet their full potential

· Actively review student assessment data, including academic, behavioral and social/emotional, to set learning goals, develop student agency and put in place interventions to ensure successful learning of each individual

Experience and Qualifications

• Recognised teaching qualification (minimum B.Ed or PGCE equivalent)
• At least 4 years teaching experience
• Knowledge, understanding and teaching experience of the IB Middle Years Programme and IB Diploma Programme
• Appropriate Health and Safety training for taught subject areas (e.g. for PE, first aid and swimming training certifications)
• Articulate and effective written and oral communication in English
• Ability to work collaboratively, professionally and effectively within a team
• Experience of working in an international school setting advantageous
• Willingness to adapt to and embrace a new school environment
• Willingness to contribute and champion educational change that supports best practice and improve student learning

Professional Expertise

• Cognitive Activation / Pedagogical Subject Knowledge: The teacher has a deep understanding of the curriculum, pedagogy, subject content, and the developmental needs of students to effectively provide rich learning experiences.
• Classroom Management: The teacher understands the importance of establishing routines and procedures and providing a safe, supportive, student-centred learning environment.
• Formative Assessment: The teacher can effectively use differentiated assessment tools and strategies and understands how to make accommodations for individual students that drive learning forward.
• Student Well-being & Safeguarding: The teacher is a caretaker of the student’s social health and emotional well-being. They support healthy peer relationships and interactions. At the same time, they are guiding individual emotional, well-being and social development.
• Professionalism: The teacher is committed to professional ethics, international-mindedness, and the school’s mission; collaborates and communicates appropriately and takes responsibility for professional growth that enhances student learning.

Keen to collaborate and share your specialist expertise, you will be a fitting ambassador for the school. You will communicate with confidence across diverse audiences and situations, using your expertise to build strong relationships across the GESS community.

Our School

The German European School Singapore (GESS) is a multi-lingual, not-for-profit, German international school in Singapore with a distinct European flavour. As an accredited ‘Excellent German School Abroad’, the German Section of GESS offers all major German school leaving certificates.

Our European Section offers tuition in English for students from grade 1 - 12 across all three IB programmes (the PYP, the MYP and the IB Diploma Programme) as an authorised IB World School.

Children aged 2 years onwards can enroll in our Preschool where children are following the PYP programme in German-speaking, English-speaking or bilingual groups. In addition to an outstanding academic education, GESS strives to teach students community values such as respect, openness and diversity.

To Apply

We offer an exciting working environment in an international and cooperative team. Your application should include a letter of application and your complete resume. Please indicate your reasons for applying for the position.

Our Selection Process

At GESS we adhere to fair employment practices that consist of hiring practices that are fair, merit-based and non-discriminatory.

We are committed to providing a world class, safe, happy environment in which children and young people are able to thrive and learn. We are committed to safeguarding and child protection as we promote the welfare of all our pupils irrespective of race, ability, religion, gender or culture.

All post holders are subject to appropriate vetting procedures including satisfactory reference and background checks and the offer of employment will be subject to the completion of these.

Please note, that only shortlisted candidates will be notified.

Data Science & AI Director

Location: West

Working Hours: Monday - Thursday (8.30AM - 6.00PM), Friday (8.30AM - 5.30PM)

This incumbent is responsible to lead in the research & development, strategy, architecting, planning and delivery of data science capabilities (e.g. Artificial Intelligence Engineering, Data Engineering, Cognitive Computing and Decision Science), to transform and support the organisation’s overall sense making capabilities.

Responsibilities:

(1) Support the organisation’s transformation into a data-driven organisation by charting the strategic directions to design, develop and deliver Data and Analytics capabilities that includes:

• Transform the team to deliver next-generation data and analytics capabilities that support rapid on-boarding of data sources, high-scalable architecture that empower both employees and data scientist to self-serve to a suite of data products, ranging from data-self-serve to analytics-as-a-service.
• Develop organic Data Engineers for improved data management, to ingest data, design and architect data pipelines, data architectures for different data consumer groups.
• Develop organic Data team to exploit all data to harness new insights and support better sense making capabilities.
• Develop roadmaps to deliver cutting-edge sense making capabilities that harness all data types such as high velocity, structured, unstructured, images, videos, geo-location, signal, etc.
• Drive data analytics and AI/ML models for big data analytics, and advance dashboarding for data and insights visualisation, including GIS and LLM/GenAI technology.
• Guide new data-driven approaches for the purpose of generating operational insights that address operational challenges in a proactive manner.
• Collaborations with partners and stakeholders to research in advance AI/ML model to solve complex and/or wicked problem statements beyond Data Science, when no readily available solution can be found in the market.
• Proliferate and upskill Data Science competencies within organisation, including supporting relevant training to upskill data analysis/data science proficiency levels.

(2) Ensure timely delivery and implementation of the enterprise data and sense making projects that include data architectures (ingestion, storage, acquisition, validation), data exchanges, big data analytics platforms, user data and analytics systems.

(3) Lead strategic discussions with senior management and key stakeholders to ensure successful delivery of projects and capabilities.

(4) Act as the organisation’s Chief Data Officer and drive the following initiatives:

• Work with governance units to ensure data security governance complies with the prevailing policies and addresses all matters relating to data governance and solutions required to ensure secured, timely and efficient delivery of data to the respective stakeholders.
• Drive the management, use and sharing of data in a secure manner, and plug any gaps to comply with organisation guidelines.
• Define the organisation’s data strategy, goals, polices and management of organisation’s data assets, and coordinate returns for organisation’s indices.
• Raise the staff’s awareness on data policies, procedures and promote culture of data privacy and security.
• Drive data analytics adoption within the organisation and promote data-driven business decisions.

(5) Work with users to identify appropriate Data Science solutions to better users’ current outcomes, bring new or additional value to their operations, and/or create new/transformative capabilities for the users, such as:

• Lead users and diverse stakeholders to understand and identify users’ challenges and co-define problem statements where Data Science solutions can mitigate these challenges.
• Work with users and multi-disciplinary technical/specialist teams to scope and formulate problem statements and identify the appropriate Data Science solutions to achieve the best outcomes to these problems.
• Manage the proper resourcing of projects with the right people with the right competencies and expertise; influence and negotiate with stakeholders to secure the required resources.
• Degree in Engineering/Computer Science/Information Technology or relevant disciplines.
• Relevant working experience in IT environment including a minimum of 8 years in a leadership position managing data analytics and/or Data/AI product development team.

Responsibilities:

• Gather and analyze user requirements and translate them to business solutions
• Design, write and implement efficient code to preprocess data, train, evaluate, test and deploy models
• Plan, manage and lead data science projects
• Develop machine learning and deep learning models for production level
• Improve and manage existing models and systems
• Guide the internal team on technical details and project development
• Present insightful data outcomes to project stakeholders

Requirements:

• Bachelor’s Degree in Computer Science, Science/Engineering field or equivalent
• At least 2 years’ experience in Data Science related function
• Proficient in Python programming and common libraries for data analytics, machine learning and deep learning (pandas, numpy, scikit learn, keras etc)
• Good understanding of machine learning/deep learning algorithms and their applications
• Knowledge in use of SQL and/or noSQL databases (postgres, oracle, MongoDB etc.)
• Familiarity with implementing models at production level
• Experience with data visualization tools such as Power BI, Tableau
• Hands-on practical experience on other data science development in languages such as R, Java, C++, etc
• Experienced in manufacturing industry is advantageous

To apply, please visit www.gmprecruit.com and search for Job Reference: 23985

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

About the opportunity:

· Lead architecture engineering and design for pharmaceutical facilities in Singapore, involving room programing, finishes selection, defining the personnel, material, equipment, sample flows within GMP facility

· The works involved masterplan, layout development for various different building, ranging from administration, warehouse, utility building, laboratory, manufacturing, and other ancillary building

· Familiar with Singapore regulatory requirements, calculations such as buildability score, greenmark score and able to implement them into the design.

· Interface with various disciplines for coordination and design integration with multiple disciplines and subject matter expert both in Singapore and outside Singapore

· Occasional site visit/deployment during construction period

· Adhere to company work instruction, standard operating procedure, quality procedure

· Deliver the design and develop the subcontract packages on time, generate deliverable list with timeline as per development from project master schedule.

· Guide the architecture team for the related project to deliver, monitor the progress, attend meeting, design review with client.

· Liase with Architecture QP for permitting and Design for Safety review

About you:

· Degree in Architecture Discipline with minimum 8 years of experience in architectural consultancy organization, preferably with specialization in pharmaceutical/process/industrial facility projects.

· Well versed in Singapore regulatory and Singapore Standard

· Team player, interface with various team members from different disciplines

· Knowledge in Autodesk Revit, Autodesk AutoCAD, Sketchup.

· Additional software skill in Adobe Photoshop, Naviswork will be beneficial

Dulwich College (Singapore) is recruiting a Science Technician to start in April 2024, to support the Science Department in the management and preparation of resources to enable the effective delivery of science curriculum at the College, as well as the maintenance of equipment.

Duties & Responsibilities:

• Prepare resources, make up solutions, assemble apparatus, and deliver equipment to labs as required;
• Play an active role in developing and trialing new practical activities;
• Assist and demonstrate in practical classes as required;
• Provide technical advice and assistance to teachers, technicians and students;
• Assist and demonstrate in practical classes as required;
• Supervise students carrying out investigations and experiments;
• Keep laboratories tidy and ordered;
• Oversee the clearing away, storage and maintenance of practical equipment after practical lessons;
• Working with other Technicians to ensure the safe storage, concentration of stock solutions suitable for students, labels, warning signs and disposal of chemical and biological waste according to local regulations and guidelines;
• Support the College cleaning staff in ensuring the safe cleaning of science laboratories and preparation areas;
• Keep up-to-date with health and safety regulations;
• Carry out risk assessments of own activities and practicals as requested by teachers, seking advice when neccessary;
• Provide advice on safe practice and monitoring activities to ensure there are followed;
• Assist in the management, use, and provision of resources, including books and teaching materials;
• Maintain class sets of laboratory resources (including stationery);
• Service and clean equipment and resources as required;
• Carry out stocktaking of equipment, chemicals and stationery, in order to maintain appropriate stock of apparatus and consumables;
• Fix broken Science equipment. If not possible, organize for it to be fixed or replaced;
• Monitoring access to science laboratories and prepare areas;
• Attend additional training as required;
• All other duties commensurate with the post.

The successful candidate will possess:

• A minimum 'N' Levels, including Science subjects, or equivalent;
• Experience of working in laboratory setting or similar would be an advantage but not neccessary;
• The ability to follow procedures and guidelines;
• Fluency in English and the ability to communicate effectively with students and colleagues;
• A flexible approach to work, and the willingness to contribute to the wider team;
• The ability to use own initiative to undertake required tasks.

We welcome and encourage applications from people of all backgrounds. Having a diverse staff body is a great strength to us as a College and one of the ways that we can help students achieve our College Mission of Living Worldwise. We do not discriminate on the basis of race, ethnicity, gender, age, disability, religion, sexual orientation, pregnancy or socio-economic status. We support family-friendly flexible working opportunities, where operational needs allow. Staff recruited locally are subject to Terms and Conditions of Service according to local employment law.

Dulwich College (Singapore) is committed to safeguarding and promoting the welfare of all the students in our care and expects all applicants to share this commitment. We follow safe recruitment practices which are aligned to the recommendations of the International Task Force on Child Protection. We hold ourselves to a high standard of effective recruiting practices with specific attention to child protection. All appointments are subject to an interview, identity checks, criminal record checks, and successful references.

CPE Registration Number: 201027137D. Period of Registration: 09 January 2024 to 08 January 2028

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 Data Manager in this role is responsible for supporting principal clinical investigators in the field of haematologic malignancies, specifically myeloma, stem cell transplantation, and cellular therapy. The primary focus involves both prospective and retrospective data collection for patients. The Data Manager plays a pivotal role in entering this data into databases and ensuring the integrity and accuracy of the information.

In addition to direct data management, the position involves active participation in research studies. This includes collecting data from patients enrolled in these studies and maintaining the databases associated with each project. The Data Manager contributes to the overall quality and success of the research initiatives by facilitating smooth data workflows. Furthermore, the role extends to providing necessary data for conference presentations, emphasizing the importance of disseminating research findings to the scientific community. The Data Manager also takes on the responsibility of maintaining up-to-date study status information by submitting essential documents and data to regulatory bodies, such as the Domain Specific Review Board (DSRB) and other relevant registries.

In summary, the Data Manager serves as a key collaborator in clinical research efforts, ensuring the comprehensive and accurate management of data related to haematologic malignancies. This role encompasses various tasks from data collection and entry to study maintenance, regulatory compliance, and support for conference presentations.

Duties and Responsibilities

Primary Responsibilities and Duties (80%)

1. Collect Clinical Data for Research Studies:Ensure proper consent is obtained from patients enrolled in research studies.
   Collect clinical data from various reports and clinical notes for accurate data entry.
   
2. Maintain Stem Cell Transplant (SCT) Research Studies Database:Regularly update and maintain the database for stem cell transplant (SCT) research studies.
   Assist Clinical Research Coordinator(s) in creating and maintaining site files.
   
3. Manage Study Status Updates:Submit necessary documents to the Domain Specific Review Board (DSRB) to maintain study status updates.
   Assist Principal Investigator (PI) in preparing research study protocols and document submissions to DSRB.
   
4. Coordinate Data-Related Clinical Research:Act as the main coordinator for data-related aspects of clinical research projects.
   
5. Data Extraction and Reporting:Extract data for analysis and generate reports for publication, conferences, or presentations.
   Provide required data to the Principal Investigator (PI) for conference presentations.
   

Secondary Responsibilities and Duties (20%)

1. Analysis and Report Writing Support:Assist with data analysis and contribute to report writing for research projects.
   
2. Support Value Driven Outcome (VDO) Projects:Work collaboratively with the Value Driven Outcome (VDO) team.
   Provide data required by the VDO team within given timelines.
   
3. Ad-Hoc Research Duties:Complete other ad-hoc research duties assigned by the Research Officer (RO) or Principal Investigator (PI) within specified timeframes.
   

Requirements

Qualification Required and Area of Discipline:

• Bachelor's degree in Biomedical Sciences/Biological Sciences or its equivalent.

Required Competencies and Capabilities:

1. Experience:Preferably has 3-5 years of experience in data management.
   Experience in Stem Cell Transplantation and/or cellular therapy.
   Experience in Haematology and/or Oncology related jobs.
   
2. Technical Skills:Proficient in word processing applications such as Microsoft Word, Excel, and PowerPoint.
   Statistics skills for data analysis.
   
3. Interpersonal Skills:Strong interpersonal skills.
   Ability to work effectively as part of a team.
   
4. Critical Thinking:Critical thinking skills for problem-solving and decision-making.
   
5. Learning and Adaptability:Willingness to learn complex medical science concepts and methodologies.
   Ability to adapt to evolving medical and research environments.
   
6. Self-Motivation:Self-motivated with the ability to work independently.
   

Responsibilities:

• Define, gather and analyse, solution and document the business requiremnts and processes for clients
• Determine operational objectives after review design specifications and evaluate output requirements and formats
• Write functional specifications, use cases and requirements to improve on the necessary system changes by studying current practices and designing modifications
• Recommend controls by providing functional solutions to clients and the development team
• Define project requirements by identifying project milestones, phases and elements; forming project team; establishing project budget
• Monitor project progress by tracking activity; resolving problems; publishing progress reports; recommending actions
• Understand strategic direction set by senior management
• Validate resource requirements and develop cost estimation
• Conduct and coordinate financial, product, market, operational and related research to support strategic and business planning within the various departments and programs of the client
• Understand business requirements, distinguishing users’ requests from underlying true business needs and execute tasks that comply with current development standards

Requirements:

• Bachelor’s degree in computer science, information technology or other related disciplines
• Minimum 2 years of application testing experience, with project management experience
• Ability to execute application testing
• Experience with structured testing mythology (use of automation tools)
• Ability to multitask, prioritize and translate business requirements into test scenarios
• Discipline and meticulous in documentation
• Possess excellent interpersonal and leadership skills
• Familiar with both procedural and object oriented design principles and an excellent understanding of software development practices and concepts

Sia Partners is a next-generation consulting firm focused on delivering superior value and tangible results to its clients as they navigate the digital revolution. Our global footprint and expertise in more than 40 sectors and services allow us to enhance our clients’ businesses worldwide.

We guide their projects and initiatives in strategy, business transformation, IT & digital strategy, and Data Science. As the pioneer of Consulting 4.0, we develop consulting bots and integrate AI in our solutions.

Job Description

You will also contribute to internal data science projects hosted on Heka, our internal accelerator for data science projects: https://www.heka.ai/en
As part of the global data science team, you will contribute to the development of various solutions designed to address our clients’ needs.

Key responsibilities:

• Partner with our client’s leadership teams, engineers, program managers and data analysts to understand business needs.
• Steer a small team or work independently on client projects with support of senior leadership
• Identify, acquire, process and explore relevant data sources.
• Analyze large amounts of structured and unstructured information to discover trends and patterns.
• Use your data analytics and data science expertise to derive valuable insights from datasets, build predictive models and machine-learning algorithms.
• Communicate at scale, through multiple mediums: presentations, dashboards, datasets, bots and more.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.
• Contribute to a broad range of projects and deliverables, including models, algorithms, datasets, measurements, services, tools and processes.
• Evangelize data science in the region by contributing to training & upskilling
• Contribute to business development activities such as building proposals, conducting research, and driving thought leadership

Qualifications

• 2-3 years’ experience as a Data Scientist or Data analyst (ideally in consulting)
• At least a bachelor’s or equivalent degree in a relevant area of study (Data Science, Business Analytics, Statistics, Economics or a related field of study) from a top university
• Prior experience in model development(Doc Review, Decision Model etc. will be advatageous)
• Good skills in Python and ideally another analytical language (e.g., R, SQL)
• Problem-solving aptitude and strong business acumen
• Excellent communication and presentation skills
• English fluency.
• Strong plus: Experience with data visualization tools (e.g., Tableau, PowerBI, R-shiny)
• Strong plus: Good understanding of statistical techniques and concepts
• Strong plus: Knowledge of Machine Learning techniques or optimization

Additional information

What do we offer?

• Competitive salary & top tier benefits
• Training resources to further develop yourself as an expert in your discipline
• Opportunity to work with top tier clients in financial services, retail, and other sectors in SG and beyond
• Dynamic environment with many opportunities to take on responsibilities usually reserved for more experienced professionals

The Global School of Technology and Management offers academic courses in Engineering, Construction and the Built Environment, Events, Hospitality and Tourism Management, Computing and Information Technology, Business Management, Logistics and Supply Chain Management and etc. Please visit www.gstm.edu.sg for more information.

Due to the continuing success of the programmes and the increasing demand for graduates in this field, we are now seeking suitable candidates for the position of Part-Time Lecturer (Computing/ Information Technology)

Preferable candidate with industry and academic experiences and will be responsible for teaching and supervision for industry projects/ internship reports for Diploma students.

Responsibilities

• Conduct lessons (Face-to-Face) to students and carry out all relevant responsibilities related to the teaching role. The lessons may be time-tabled during the day, morning/afternoon weekdays.
• Design, develop and review course materials, as well as assessments
• Assess and evaluate student assignments and their academic performances
• Coach and mentor students to support their learning

Teaching hours:

• Classes are conducted during the day on weekdays only (Morning/ Afternoon)

Teaching modules:

· Secure Development and Deployment

· Project

· Applied Artificial Intelligence

· Data Science for Business

· Cyber Security

· Audio Visual Programming

· Foundation of Computing I & II

· Programming Fundamentals

· Web and Database Systems

· Data Structures and Algorithms

· Software Engineering

· Further Programming Paradigms

· Information Retrieval

· Web Applications Design and Development

· Artificial Intelligence

· Computing Networking

· Software Engineering

Prerequisites

• At least Master Degree in Computer Science or related areas
• With at least 5 years of relevant working experience in the industry and academics.
• Strong knowledge of the subject areas combined with a broad subject background and ability to contribute to teaching modules in areas of computing and information technology in Undergraduate level
• A passion and genuine interest to share knowledge and interact with learners.
• Good communication and interpersonal skills

Preference will be given to candidates:

• Teaching and research expertise in the Computing / Information Technology fields
• Membership of professional bodies and associations will be an added advantage.
• 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.

Job Description

The Lee Kuan Yew School of Public Policy (LKYSPP), National University of Singapore, invites applications for multiple tenure track Assistant Professor appointments. Applicants are expected to have research and teaching expertise in the fields of public policy, public administration, and/or public management. Of particular interest are scholars whose research and teaching focuses on Public Management, Leadership, and Ethics; Law, Regulation, and Governance of Emerging Technologies; Decentralization, Urbanization, and Local Government; Bureaucracies, Public Finance, and Policy Processes; and Data Analytics/Science and Public Policy. Scholarship that have applications to Asia, particularly East and Southeast Asia, but speaks to the broader field are welcomed.

Job Qualifications

The ideal candidate will have:

• a completed PhD in public administration, public management, public policy, political science, or related disciplines
• potential to publish in world class academic research outlets
• ability to teach core and specialized courses in public administration, public management, and public policy
• a willingness and ability to mentor graduate students and supervise graduate degree these
• a willingness to engage with a wide range of external interests including public bodies, businesses, not-for-profits and research or learning communities.

Additional Information

About Lee Kuan Yew School of Public Policy

LKYSPP is a leading public policy school in Asia, attracting an internationally diverse, world-class faculty and student body to engage and address the world’s most pressing challenges. Its mission is to to inspire, improve lives, and take central positions in the policy and governance conversations within Asia and beyond. We do this by working hard on two planks: pursuing academic and intellectual excellence, and crafting lessons for meaningful public policy-making. The school is housed within the National University of Singapore, the highest ranked university in Asia and the 11th in the world.

LKYSPP offers highly competitive research funding, salary, relocation and housing support, and other benefits. The teaching load (typically three per academic year) allows faculty to focus on providing quality instruction while maintaining their research excellence. For more information about the LKY School, please visit www.lkyspp.nus.edu.sg.

Are you passionate about inspiring curious minds to love Science while growing in a career that pays you well?

If your answer is a resounding YES, The Pique Lab WANTS you!

[About Our Team]

At The Pique Lab, we’re on a mission to create the best Science learning experience for students aged 9 to 16 in Singapore. Our lessons are meticulously crafted based on pedagogical research, data-driven methodologies and have one overarching goal: to make learning fun, shorten learning curves and help students develop a genuine appreciation for Science.

Over the past decade, we've grown from a pair of co-founders to a diverse team of over 80 team members across 10 departments. Our proprietary learning methodology and examination-centric materials have helped more than 20,000 students ace their Science examinations.

Our headquarters is in Singapore, with additional offices in China, Philippines and Malaysia. We take pride in our open, fast-paced and flat organisational structure where every team member is valued for their skills and competencies, not just their job titles.

We are looking for passionate Science lovers to join us to bring the joy of learning to more children. Who knows? You might be nurturing the next Albert Einstein or Marie Curie!

If you like the prospects of working in a close-knit team, leveraging tech to work hyper-efficiently while tackling challenges head-on, we’d love to talk to you about joining the team!

[Your Role]

As a Primary Science Teacher at The Pique Lab, you will be involved in:

1. Class & Learning Management – You will manage classes (online & onsite) effectively with a holistic understanding of your students’ learning needs and motivations
2. Lesson Preparation & Delivery – You’ll prepare for your lessons in accordance to our curriculum. In particular, you’ll devise ways to simplify Science concepts and highlight common misconceptions.
3. Publishing – You’ll share your knowledge by writing articles and producing videos, so that your students can continue to learn from you outside of the classroom.
4. Communication – You’ll communicate with parents on their children’s learning progress and make appropriate recommendations on how to improve further.

[Your Growth]

Your success as a Lower Secondary Science Tutor means a lot to us.

Rigorous training is provided during your first 9 months at The Pique Lab, which is aimed at increasing your confidence and expertise as a Primary Science Teacher.

You will start your career with us by undergoing the Teaching Associate Programme where you'll learn plenty of valuable teaching skills:

• Content Mastery: Solidify your fundamentals in the Primary Science syllabus by learning key concepts & examination question types. Understand how to apply a variety of answering techniques to tackle questions effectively.
• Attention Control: Discover how to make your lessons come alive, such that your students never get bored of them. Dive deep into delivery technicals such as coherency, clarity, tempo, gestures, expression and humour.
• Class Control: Pick up effective classroom management strategies, so that you're able to maintain a fun, yet disciplined teaching approach with your students.
• Performance Management: Learn how to use cues effectively to instil a stronger sense of confidence in your students & help them develop a stronger affinity for Science.
• Communicating With Parents: Understand how to communicate with parents, such that they are supportive and appreciative of your work.

After you've achieved mastery in your fundamentals, you can look forward to explore various career pathways (Specialist Track & Management Track) where we'll work closely with you to spearhead projects or manage teams.

[You, Our Ideal Candidate]

We’d love to have a chat with you if you meet the following criteria:

Required:

• Strong Background in Science: You should have a strong understanding in the subject matter - not just at the university level, but at a primary/secondary level, and hence be able to simplify complex Science concepts.
• Prior Teaching Experience: You should have some experience in teaching, not strictly limited to Science - be it commercial experience (e.g. teaching in MOE schools, tuition centres or private 1-1 classes) OR volunteering experience (e.g. coaching kids in after-school care centres).

Good to have:

• A Positive, Confident & Engaging Personality: You need to be comfortable engaging students at a group level & infuse joy and laughter in your lessons.
• Grit and Drive to Succeed: You must be committed to mastery and be willing to put in the hard work. You should have a clear idea on what you intend to pursue in your career, at least for the next 3 to 5 years,
• Ability to learn fast and think on your feet: You will be expected to pick up and apply strategies and techniques taught to you quickly, especially during the training period.

[Your Welfare]

1. [Biggest Takeaway] Mentorship, Training & Regular Feedback
2. Abundant Career Progression Opportunities in two different tracks: Specialist track and Management track
3. Competitive Remuneration, including a base salary (starting from $3,400/ month) plus a variable pay (which scales based on your contributions)
4. Annual Performance Bonus
5. Medical, Dental & Vision Benefits
6. Technology Benefits
7. Paid Leaves
8. Time-off From Work For Errands
9. Fully-stocked Pantry
10. Free Meals on selected school holidays and weekends
11. Company Socials
12. Work From Home Care Packages

[Take Note]

1. We respect your time commitment with us. As such, you'll be paid full salary, even during your training period.
2. There are no part-time teaching positions due to the amount of resources required to groom teachers to excellence.
3. We specialise only in Primary Science and will continue to deepen our expertise in this area within the next 3 to 5 years. If you're only keen to teach Mathematics or English, we're probably not a good fit for you.

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 – which is the top-ranked university in Asia – is recruiting full-time Assistant Professors for the Saw Swee Hock School of Public Health (SSHSPH) on the tenure/research/practice track appointments. For tenure-track appointments, appointees are given fixed contracts for up to 7 years, with the goal of obtaining tenured appointments at the end of this period. In addition to an attractive salary and benefits package, new faculty members may be eligible for a start-up grant to initiate their independent stream of research and subsidised university accommodation.

The positions are specifically for faculty to work in the Health Systems & Behavioural Sciences Domain of SSHPH. Researchers active in one or more of the following areas of Health

Promotion/Implementation Science are particularly encouraged to apply:

Health Promotion
• Research on:
o Behavioural and communication theories/models,
o Social, environmental, and behavioural change interventions, and
o Evidence-based strategies and their impact on socio-behavioural, environmental and health outcomes for various populations.

• Analyses of:
o Population health needs using mixed methods and appropriate statistical procedures, e.g., structural equation modelling, and
o Healthcare systems and policies to design health promotion interventions for the general public as well as at-risk populations.
• Planning, implementation, evaluation, and communication of sustainable and effective programmes targeted at health promotion and/or disease prevention for the public.
• Development and advocacy of practices, policies, and laws that will provide supportive and enabling environments for the promotion and improvement of public health.
• Leveraging on structures and mobilisation of organisational, governmental and community resources to create health-promoting environments.

Implementation Science
• Research on attenuating implementation bottlenecks and roadblocks.
• Development and optimisation of implementation strategies and methods to generate sustainable improvements in healthcare and delivery systems.
• Promoting the systemic uptake of research findings to advance positive outcomes in clinical, organisational or policy contexts.

Job Requirements

Requirements:
a) Recognised Doctoral degree in a relevant discipline with strong post-doctoral research records,
b) Track record of publishing in high-impact international peer-reviewed journals,
c) Experienced in leading independent research studies or a component within larger research programmes,
d) Ability to generate and maintain an independent stream of research funding,
e) Ability to teach public health courses at both undergraduate and graduate levels,
f) Ability to work in multidisciplinary teams, and
g) Ability to work with culturally diverse populations.

Responsibilities include:
• Establishing an independent research agenda through extramural funding,
• Developing collaborative, multidisciplinary research,
• Curricula design and teaching,
• Supervision of postgraduate students advising, and
• Contributing to policy/community development in the field of public health.

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.

Job Description

The National University of Singapore – which is the top-ranked university in Asia – is recruiting full-time Associate Professors for the Saw Swee Hock School of Public Health (SSHSPH) on the tenure/research/practice track appointments. In addition to an attractive salary and benefits package, new faculty members may be eligible for a start-up grant to initiate their independent stream of research and subsidised university accommodation.

The positions are specifically for faculty to work in the Health Systems & Behavioural Sciences Domain of SSHPH. Researchers active in one or more of the following areas of Health Promotion/Implementation Science are particularly encouraged to apply:

Health Promotion
• Research on:
o Behavioural and communication theories/models,
o Social, environmental, and behavioural change interventions, and
o Evidence-based strategies and their impact on socio-behavioural, environmental and health outcomes for various populations.
• Analyses of:
o Population health needs using mixed methods and appropriate statistical procedures, e.g., structural equation modelling, and
o Healthcare systems and policies to design health promotion interventions for the general public as well as at-risk populations.
• Planning, implementation, evaluation, and communication of sustainable and effective programmes targeted at health promotion and/or disease prevention for the public.
• Development and advocacy of practices, policies, and laws that will provide supportive and enabling environments for the promotion and improvement of public health.
• Leveraging on structures and mobilisation of organisational, governmental and community resources to create health-promoting environments.

Implementation Science
• Research on attenuating implementation bottlenecks and roadblocks.
• Development and optimisation of implementation strategies and methods to generate sustainable improvements in healthcare and delivery systems.
• Promoting the systemic uptake of research findings to advance positive outcomes in clinical, organisational or policy contexts.

Job Requirements

Requirements:
a) Recognised Doctoral degree in a relevant discipline with strong post-doctoral research records,
b) Track record of publishing in high-impact international peer-reviewed journals,
c) Experienced in leading independent research studies or a component within larger research programmes,
d) Ability to generate and maintain an independent stream of research funding,
e) Ability to teach public health courses at both undergraduate and graduate levels,
f) Ability to work in multidisciplinary teams, and
g) Ability to work with culturally diverse populations.

Responsibilities include:
• Establishing an independent research agenda through extramural funding,
• Developing collaborative, multidisciplinary research,
• Curricula design and teaching,
• Supervision of postgraduate students advising, and
• Contributing to policy/community development in the field of public health.

Application Procedure

For more information on NUS, please visit: www.nus.edu.sg. For more information about the Saw Swee Hock School of Public Health, please visit www.sph.nus.edu.sg.

Please note that only shortlisted candidates will be contacted.