Total 199 science job vacancies in Information Technology category in Singapore

What you’ll be doing:

• 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:

1. 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.
2. Develop organic Data Engineers for improved data management, to ingest data, design and architect data pipelines, data architectures for different data consumer groups.
3. Develop organic Data team to exploit all data to harness new insights and support better sense making capabilities.
4. 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.
5. 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.
6. Guide new data-driven approaches for the purpose of generating operational insights that address operational challenges in a proactive manner.
7. 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.
8. Proliferate and upskill Data Science competencies within organisation, including supporting relevant training to upskill data analysis/data science proficiency levels.

• 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.
• Lead strategic discussions with senior management and key stakeholders to ensure successful delivery of projects and capabilities.
• Act as the organisation’s Chief Data Officer and drive the following initiatives:

1. 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.
2. Drive the management, use and sharing of data in a secure manner, and plug any gaps to comply with organisation guidelines.
3. Define the organisation’s data strategy, goals, polices and management of organisation’s data assets, and coordinate returns for organisation’s indices.
4. Raise the staff’s awareness on data policies, procedures and promote culture of data privacy and security.
5. Drive data analytics adoption within the organisation and promote data-driven business decisions.

• 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:

1. Lead users and diverse stakeholders to understand and identify users’ challenges and co-define problem statements where Data Science solutions can mitigate these challenges.
2. 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.
3. 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

What you’ll need:

• Degree in Computer Science, Computing, Cybersecurity, or IT equivalent
• 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.
• Able to influence stakeholders, including Senior Management and relevant Directors of the organisation, to seek necessary approval and buy-in by providing strong and clear justifications for proposed changes.
• Ensure close collaboration across units and functions within the organisation and external contractors to monitor work progress and performance.
• Able to build effective working relations with internal and external stakeholders to ensure project delivery is met.
• Able to reconcile immediate operational needs with long-term strategic goals, considering differing views of various stakeholders, and get buy-in for the adopted approaches.
• Able to work under extreme pressure with tight timelines.
• Have meticulous planning skills, and the ability to analyse issues with clarity and present balanced, strong arguments.
• Have keen sense of scientific and technological developments, with particular interest in data science & artificial intelligence related technologies and disciplines.
• Possess good communication and people skills in dealing with both internal customers, as well as external parties such as vendors.
• Good team player and strong leadership skills to manage multiple parties with differing agendas.

Benefits

• AL: 18 days
• Medical benefit: $500/year
• Dental benefit: $120/year
• Mobile Allowance
• Flexibenefit
• Bonuses: Civil Servant bonuses + Performance bonus

Interested applicants: kindly submit your resume to [email protected]

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

POSITION SUMMARY

This candidate is a key member of the Company’s sales team and is responsible to perform product demonstrations, technical trainings and application services to customers, working alongside with the sales team to drive revenues and market growth of Life Science products and related services.

RESPONSIBILITIES

• To provide on-site user application supports
• To assist sales personnel throughout the sales cycle in terms of products knowledge and applications, from presales to the end of the cycle and after sales supports

Presales

• Demonstrations
• Technical discussions
• Propose total solutions in relevant fields

After Sales

• Applications training: Presentation on technology relevant to instrumentation prior to hands-on section
• Hands-on training: Hardware and software
• Troubleshooting
• To hold user meetings, workshops, seminars to update products information on instrumentation and support chemistry
• To troubleshoot issues related to instruments, software, reagents and experimental designed
• To connect and integrate available or customize technologies to cater customers’ needs, take lead in scientific discussions, analyse their needs and match them with our offering products
• Support sales team in order to achieve growth target as a team
• Preparation of technical documents and reports
• Manage demo lab and ensure good laboratory practices: demo instruments, facilities and chemical inventory
• Any ad-hoc duties assigned

REQUIREMENTS

• Minimum Master / PhD in Life Sciences, Biological Sciences, Biomedical Engineering, Microbiology, Biomedical Science, Biotechnology, Chemistry, Chemical Science, Chemical Engineering, Material Science or related disciplines
• At least 2-3 years of hands-on experience of scientific equipment operation and troubleshooting as well as laboratory inventory management
• Team player with a great attitude
• Willing to learn and involve actively in pre-sales market survey and business development
• Sense and interpersonal skills of customer relationship
• Comfortable working in a dynamic, changing environment
• Demonstrate ability to handle work professionally, independently, and efficiently

BENEFITS

• Attractive remuneration package
• Career development opportunities
• Five-day work week
• Medical benefits

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.

About us

Love, Bonito is a digital-first company on a mission to empower the everyday Asian woman and inspire self-confidence. We are Southeast Asia’s leading womenswear brand, headquartered in Singapore, with an omnichannel presence across Hong Kong SAR China, Indonesia, Malaysia and a retail franchise in Cambodia. In addition, we have also expanded into international markets namely the Philippines and the United States of America.

Founded in 2010, we are proudly female-founded with more than 65% female representation in leadership roles (#girlpower!). We raised a US$50M Series C round in 2021 and know that we’re on the cusp of something great, where we’re working towards becoming the most thoughtful brand globally, for the Asian female consumer, especially when it comes to our products, community and experiences.

There’s a lot more work to be done with all of our exciting plans. So we’re looking to team up with people who are wildly passionate about making an impact and be part of a dynamic team, in a workplace with no corporate BS (yes, you read that right!)

The Role:

Are you passionate about using data to solve real-world challenges? We are seeking a motivated and curious Data Science Intern to join our dynamic team and contribute to exciting projects that directly impact our business. This internship is a fantastic opportunity to gain hands-on experience, learn from experienced professionals, and develop your skills in the in-demand field of data science.

About Our Projects:

Our data science team tackles a variety of projects aimed at optimising our operations, enhancing customer experience, and driving business growth. Here are some of the projects you could be involved in:

• Demand Forecasting: Anticipating future product demand to enhance inventory control and production scheduling.
• Personalised Recommendations: Providing tailored suggestions to customers to enhance satisfaction and interaction.
• Attribute Tagging: Automating product attribute labelling to enhance search and filtering functions.
• Size Recommendation: Suggesting optimal sizes for customers based on their measurements and preferences.
• Fraud Prevention: Detecting and flagging potential fraudulent activities to safeguard against risks.

What We Are Looking For:

• Data wizard with a fashion flair: Possess a strong foundation in Python, SQL, statistics and machine learning.
• Problem-solving aficionado: Ability to think critically, solve problems creatively, and communicate effectively with both technical and non-technical audiences.
• Team player with an independent spirit: Collaborate seamlessly while taking initiative and ownership of your projects

Advantageous to Have: 

• Experience working with Databricks, PySpark, TensorFlow/PyTorch, and data visualisation platforms like Tableau or Metabase is a plus
• Passionate learner: Eager to delve into the world of fashion e-commerce data and continuously hone your skills

• Work on real-world projects that have a direct impact on the business.
• Gain hands-on experience with industry-standard data science tools and methodologies.

• Be mentored by experienced data professionals and learn from their expertise.
• Develop your professional network and build valuable connections within the industry
• Market level internship salary and benefits provided
• A dynamic, no corporate-BS environment to learn and grow

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for College of Integrative Studies / IPCC Working Group II Technical Support Unit (CIS)
• Coordinate and oversee science-related aspects of the TSU.
• Manage the scientific support for the Working Group II activities and products during the Seventh Assessment cycle.
• Develop and manage processes for scoping, preparation, review, and completion of reports.
• Collaborate closely with Working Group II Co-Chairs and Bureau to shape and guide scientific aspects of assessments.
• Support the development of summary products such as the Summary for Policymakers and Technical Summary, as well as the Synthesis Report.
• Coordinate scientific contributions to Working Group II meetings and sessions.
• Supervise scientific staff in the Working Group II TSUs.
• Maintain communication and collaboration with Heads of Science from other TSUs.

• PhD in climate- or environmental-science related field, preferably in the following fields: climate change impacts, climate adaptation, environmental modelling, socio-economic system analysis; and at least 10 years of work experience in the abovementioned or related fields.
• Scientific publications in refereed journals.
• Experience leading a multi-cultural science team;
• working on international projects;
• scientific report writing and editing.
• Ability to develop, plan and execute complex multi-task workloads.
• Excellent communication and interpersonal skills and capability to interact with international science community.
• Proficient in oral and written English at an academic publication level.
• High degree of stress-resistance and capacity to work to deadlines.
• Willingness to travel internationally.
• Experience working with UN processes, in particular the IPCC, would be an asset.

About Innowave Tech
Innowave Tech is a leading AI solution provider in the semiconductor industry, specializing in
developing cutting-edge technologies for innovation and efficiency. Our focus is on leveraging
computer vision and large-scale data analytics to meet the complex needs of our clients.

Position Overview
We are looking for a highly skilled and motivated Data Science Engineer to join our team fulltime. This role is ideal for someone with a strong background in AI, particularly in the areas of
computer vision and big data analysis. The successful candidate will lead projects to develop
and implement AI solutions tailored to the semiconductor industry.

Key Responsibilities
• Design, develop, and optimize computer vision algorithms for real-world applications.
• Lead the analysis of large-scale datasets to drive innovation and insights.
• Architect and maintain robust data pipelines for scalable AI solutions.
• Collaborate with engineering teams to integrate AI technologies into our product offerings.
• Spearhead research initiatives to explore new methodologies and technologies in AI.
• Document, present, and communicate findings and technical solutions effectively.
• Mentor junior team members and contribute to team knowledge sharing.

Qualifications
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a
related field.
• Strong expertise in computer vision, data analytics, and machine learning.
• Proficient in Python, with extensive experience in PyTorch, TensorFlow, or similar frameworks.
• Solid understanding of software engineering practices, including Docker, Git, APIs, and
message queues.
• Demonstrated ability to solve complex problems and drive projects to completion.
• Excellent communication skills, with the ability to work effectively in a team and lead
projects.
• A strong portfolio of relevant projects or research work in AI.

What We Offer
• A leading role in cutting-edge AI projects within the semiconductor industry.
• The opportunity to work with and learn from experts in the field of AI and data science.
• A dynamic, innovative, and supportive work environment.
• Competitive salary and benefits package.
• Career growth opportunities in a fast-paced technology company.

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

JOB RESPONSIBILITIES:

• Perform audiological and vestibular testing efficiently and effectively. This includes PTA, Tympanometry, Acoustic reflex testing, VNG, VEMPs, VHIT, ABR, Oto-acoustic Emissions etc.
• Assist in seeing patients for Hearing Aid evaluation and fitting in a busy specialist outpatient clinic setting.
• Comply with procedures in areas of electronic medical records system, PDPA and infection control.

WORKING HOURS:

• 5 Days Office Hours

WORK PLACE:

• Jurong East

JOB REQUIREMENTS:

• Masters / Bachelor degree in Audiology
• Experience in Audiology will be an advantage

All qualified applicants, please send in your resume NOW to:
Whatsapp: https://wa.me/+6597430026
Email : [email protected]

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA License Number: 99C4599

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.
   

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

We are an equal-opportunity employer and value diversity among our teachers, staff and students.

At One World International School (OWIS), we are looking for passionate, adaptable educators who enjoy teaching students from diverse cultures. OWIS provides an individualised approach to learning that nurtures every aspect of child development. In addition to versatile learning spaces and a variety of extracurricular activities, we offer rigorous curricula that prepare students to be future innovators and leaders.

We are an IB Primary Years Programme (PYP) World School, a Cambridge International School and an IBDP School. All teaching positions require a high proficiency in spoken and written English, a degree, teaching qualifications and ICT literacy.

One World International School is committed to safeguarding and promoting the welfare of the children. We are committed to recruiting candidates who share this commitment to safeguarding. Before an offer is given, candidates will undergo child protection screening and will be required to provide a Police Verification Check from their country of residence.

Overall Responsibilities:

• To teach and educate students according to guidelines provided by the school’s curricular programmes - PYP, Secondary, IGCSE and IB Diploma.
• To teach and educate students according to the educational needs, abilities and attainment potential of individual students entrusted to his/her care by the Head of School.
• To promote the attributes and attitude of the IB Learner Profile and the school values.

Includes the below but not limited to:

• Teach across the whole age range, including PYP, Secondary, IGCSE and IB Diploma.
• Design, prepare and deliver lessons to teach knowledge, techniques, support and enhance each learner’s understanding.
• Collaborate with colleagues to ensure that every learners' individual needs are catered for through differentiated planning, learning engagements and assessment opportunities.
• Assess and monitor the progress of learners and set goals for improvement, including writing students reports and attending parents meetings.
• Lead or be involved in extracurricular activities, school events, assemblies, staff trainings, meetings, etc.
• Promote the health, safety and wellbeing of all students

Requirements:

• Minimum two (2) years or more relevant full-time teaching experience as a qualified teacher.
• Candidates must at least possess a Bachelor's degree and a Professional Degree in Teaching / Teaching qualification certificates (PGDE, PGCE, PGCEi, NIE Diploma) / Valid Teacher Licence / QTS.
• Strong knowledge and experience of teaching for Secondary, IGCSE and IB level preferred.
• Experience in an international school environment (preferred).
• A passionate educator with the ability to deliver student-centred, inquiry based learning.

Working Location: Jurong West (Nanyang Campus)

. JOB PURPOSE

The Senior Laboratory Information System Officer (LISO) role provides technical and administrative information technology support to Laboratory Medicine and Pathology. The Senior Laboratory Information System Officer supports the laboratory management team to implement organisational and departmental policies, and oversee the total test process (pre-analytical, analytical and post-analytical).

MAJOR DUTIES & RESPONSIBILITIES

Specific

i. Have a good operating knowledge of laboratory information system, equipment software, and other software used in laboratory.

ii. Optimise information systems to support laboratory team to meet performance indicators.

iii. Assist in the implementation and maintenance of the laboratory information system (LIS), including test reconciliation from various interfaces.

iv. Provide support to all laboratory sections to meet the expected turn-around-time including technical help during IT breakdown and downtime.

v. Ensure that personnel comply with policies, work instructions and guidelines, and work with Head of Clinical Laboratory and reporting officers on disciplinary measures.

vi. Ensure that all incidents regarding IT system are reported, assist in investigation of incidents, and implement corrective and preventive actions.

vii. Maintain laboratory intranet website, dashboard, and in-house development software or applications in good working condition.

viii. Provide training, competency assessment, and supervision of medical laboratory technologists and medical officers (where applicable).

ix. Write and review documents, including policies, work instructions, bench guides and forms.

x. Identify and trouble-shoot major issues, and make decisions on whether escalation to Head of Clinical Laboratory and Head of Service is required.

General

i. Perform duties in a professional manner, commensurate with academic and technical skills and training.

ii. Adhere to laws, regulations, and hospital procedures and policies.

iii. Uphold the visions and practices of Woodlands Health.

iv. Fulfil continuing medical education requirements.

v. Participate in quality improvement programmes.

vi. Perform any other duties as directed by the Head of Clinical Laboratory.

JOB REQUIREMENTS

Education, training and experience

• Bachelor’s degree in computer science or equivalent
• Minimum of four years of working in a clinical laboratory, including leadership or supervisory positions
• Familiar with SQL scripting, data extraction with Oracle database
• Experience in writing and implementing policies and work instructions
• Experience in Ministry of Health licensing, and CAP, ISO or JCI accreditation processes
• ASCPi certificate is preferred

Interested candidates please send a copy of your resume to [email protected]

Lynn Ho
R23114223

Recruiter's Ref Code: #HHO

Recruit Express Pte Ltd (Healthcare & Lifesciences Division)
EA License: 99C4599

This internship offers hands-on experience working on data science projects for our clients. As an intern, you'll gain valuable skills in understanding client business needs, data preparation, data analysis, and using machine learning models to derive insights. You'll work closely with our clients under the guidance of experienced professionals.

Our Data Science Internship program has the potential to lead to a permanent position at our company. The minimum duration of the internship is six months.

We're looking for final year students currently pursuing degrees in Computer Science/Data Science, Statistical Mathematics, Engineering, Actuarial Science, or related fields with a strong background in data science. Proficiency in SQL and Python programming is required, and familiarity with Hadoop, Sparks, and its libraries is preferred.

Experience with Graph Databases like Neo4j or AWS Neptune is a plus.

We're seeking enthusiastic learners with strong analytical and problem-solving skills, good communication skills, and a customer service attitude. You should enjoy working in a team and be able to commit to a six-month internship.

At BioQuest, we value collaboration, teamwork, and knowledge sharing. Our culture is supportive and inclusive, with a strong emphasis on ethics and diversity. You'll have opportunities to learn about emerging technologies, receive mentorship from experienced consultants, and work in a supportive and collaborative environment. For high performers, there is an excellent career growth path.

JOB RESPONSIBILITIES:

• Perform audiological and vestibular testing efficiently and effectively. This includes PTA, Tympanometry, Acoustic reflex testing, VNG, VEMPs, VHIT, ABR, Oto-acoustic Emissions etc.
• Assist in seeing patients for Hearing Aid evaluation and fitting in a busy specialist outpatient clinic setting.
• Comply with procedures in areas of electronic medical records system, PDPA and infection control.

WORKING HOURS:

• 5 Days Office Hours

WORK PLACE:

• Jurong East

JOB REQUIREMENTS:

• Masters / Bachelor degree in Audiology
• Experience in Audiology will be an advantage

All qualified applicants, please send in your resume NOW to:
Whatsapp: https://wa.me/+6597430026
Email : [email protected]

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA License Number: 99C4599

Assistant/Associate Professor

DEPARTMENT OF COMPUTER SCIENCE

Location: 510 Dover Road, Singapore

Description: Full-time Assistant Professor in Department of Computer Science, DigiPen Institute of Technology Singapore. We expect to make an appointment at the Assistant Professor Level or higher, commensurate with the candidate’s academic credentials and prior experience.

Responsibilities:

• While teaching some combination of the above subjects as determined by the selected candidate's unique synthesis of interests, he/she is also expected to teach general computer science subjects (such as operating systems, data structures, design and analysis of algorithms) at the university level. Other responsibilities include academic advising, undergraduate research advising, curriculum development, institutional service and appropriate scholarly activity.

Education and Experience Qualifications:

• PhD degree in Computer Science, Computer Engineering, or a closely related field.
• At least 4 years of industry or research experience in the field of study or a closely related area.
• Strong background in one or more following areas: C/C++ programming, Computer Graphics, Computer Architectures, Parallel Processing, Computer Networks, VR/AR, Computer Vision, Data Analysis, Distributed Computation, Cyber Security.
• Work/Teaching experience or exposure to one or more following areas: game/interactive-simulation, AI, machine learning, computer vision, data science, image processing, etc.
• 2D/3D graphic programming (OpenGL or DirectX) is an added advantage.
• A commitment to teaching excellence and scholarship is also expected.

Starting Date: Immediate

Salary: Salary is competitive and commensurate with experience and education.

Application: Review of applications will begin immediately and continue until the position is filled. For a complete application, please email a letter of interest, curriculum vitae, and statement of teaching philosophy, transcript of highest degree earned, and three letters of recommendation.

Electronic submission is required with documents in either Word or PDF format attached to an email and sent to:

Email: [email protected] with subject line “Full-time Faculty of Computer Science”.

The Cybersecurity Research Program Office (CRPO) is looking for a candidate to join them as a Programme Director.

Key Responsibilities:

• Strategic Leadership: Offer visionary guidance and strategic direction to the CRPO, aligning its endeavors with the overarching objectives of the centre and actively contributing to the advancement of cybersecurity technology, research, and awareness.
• Program Management: Formulate and oversee a comprehensive program agenda for the CRPO, encompassing technology translation, collaborative initiatives, research projects, and training programs. Ensure that these activities align seamlessly with the strategic objectives of the CRPO and the broader Cybersecurity Strategic Agenda (CSA).
• Industry-Academia Collaboration: Cultivate robust partnerships and collaboration among industry stakeholders, academic institutions, and government agencies to foster cybersecurity research, drive technology development, and facilitate the exchange of knowledge and expertise.
• Risk Management: Identify potential risks and challenges inherent in CRPO initiatives and proactively develop strategies to mitigate them. This includes ensuring the smooth and effective operation of the consortium, safeguarding against potential disruptions.
• Mentorship and Professional Development: Provide mentorship and guidance to team members, researchers, and participants engaged in CSC activities. Foster a culture of continuous learning and growth, nurturing the professional development of individuals within the consortium.
• Measurement of Impact: Institute key performance indicators (KPIs) and metrics to evaluate the impact and success of CRPO initiatives. Regularly assess progress toward established goals, enabling data-driven insights that contribute to the continuous improvement and refinement of consortium activities.

Job Requirements:

• PhD in a relevant field, such as Cybersecurity, Computer Science, Information Technology, Artificial Intelligence (AI), or a related discipline, is compulsory.
• More than 10 years of relevant professional experience in cybersecurity, AI, research, program management, or related fields.
• Strong technical knowledge and expertise in the fields of cybersecurity and AI.
• In-depth understanding of cybersecurity principles, best practices, and emerging trends.
• Proficiency in AI technologies, machine learning, data analytics, and related tools.
• Proven track record of successful leadership and management experience, preferably in a research, industry, or academic setting.
• Strong financial analysis including experience in assessing and modelling valuations for early-stage innovative cybersecurity companies.
• Resourcefulness and communication skills to work with stakeholders in ensuring smooth running of programs and operations.
• Strong interpersonal and communications skills, with the ability to interact with all levels of internal and external stakeholders.
• Ability to build and maintain relationships with external partners in both the private and public sectors.
• Demonstrated ability to develop and execute strategic plans, manage resources, and lead multidisciplinary teams.
• Experience in fostering collaboration and partnerships between industry, academia, and government agencies.
• Strong network of contacts within the cybersecurity and AI communities, including professionals, researchers, and policymakers.
• Experience in translating research findings and technical concepts into practical applications and solutions.
• Knowledge of technology transfer processes, start-up support, and entrepreneurship within the cybersecurity and AI domains.
• Excellent communication, presentation, and interpersonal skills to effectively engage with diverse stakeholders, including executives, researchers, policymakers, and industry leaders.
• Ability to advocate for cybersecurity policies, regulations, and initiatives that benefit the consortium's objectives.
• Proven ability to design, implement, and manage comprehensive programs, initiatives, and collaborative forums within the cybersecurity and AI fields.

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

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

At American Express we are focused on providing the best customer experience everyday through a differentiated set of products and services. We are looking for a senior researcher and developer at director level in the field of Artificial Intelligence (AI) and Machine Learning (ML) with focus on developing enterprise-grade data science capabilities in natural language processing (NLP) and conversational AI to support emerging use cases on enterprise-wide level, in close partnership with Technology, Marketing, Servicing and Risk organizations.

We are looking for candidates who have strong expertise and in-depth knowledge in NLP, extensive experience conducting innovative research in NLP and unstructured data domain, as well as a proven track record of developing innovative machine learning solutions to deliver exceptional customer experiences and incremental business values.

Responsibilities

• Conduct original research in machine learning and NLP domain with aim to develop enterprise-grade NLP capabilities to solve impactful business problems
• Identify opportunities on enterprise level to transform business processes and practices with innovative NLP capabilities
• Build strong partnership with multiple stakeholders across the Blue Box to revolutionize NLP capabilities for diversified use cases (marketing, risk and servicing)
• Uplift the innovation and cutting-edge R&D in unstructured data modeling, one of the most dynamic and fast-growing area in today’s AI community

Qualifications

• Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.)
• 7+ years of hands-on experiences in machine learning modeling, NLP and conversational AI
• Strong expertise and knowledge in cutting-edge deep learning research and its application in NLP domain.
• A strong record of delivering machine learning and/or data products including defining business problems, identifying data strategy, building MVPs, and scaling prototypes to production solutions
• Familiarity and proficiency with agile methods and tools to support project management in a timeline sensitive environment
• Team player with strong communication and leadership skills

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This team is responsible for developing, implementing, and tracking AI/ML models for driving enterprise digital personalization in prospect marketing and automating data capability and model governance.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

Responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solutions

Minimum qualifications:

• Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Ability to learn quickly and work independently with sophisticated, unstructured initiatives
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This team is responsible for developing, implementing, and tracking AI/ML models for driving enterprise digital personalization in prospect marketing and automating data capability and model governance.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

Responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solutions

Minimum qualifications:

• Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Ability to learn quickly and work independently with sophisticated, unstructured initiatives
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Cognita, in partnership with Brighton College, is seeking an inspirational Head of Science (Senior School) to start in August 2024. The successful candidate will take a lead on all aspects of science provision at Key Stage 3 and above, as Brighton College (Singapore) expands from a first-class Prep School to one of the region’s leading all-through schools (from Pre-Nursery to Year 13).

This is an exciting opportunity for an educationalist to help shape the development of a secondary curriculum that will provide the platform needed for pupils to go on to some of the world’s leading universities. The successful candidate will be instrumental in ensuring that the educational offering aligns with the Brighton College commitment to building a world-class academic institution, distinctive in its own right, but with the Brighton College DNA at its core. They will be able to demonstrate the passion, expertise and ambition to take ownership of all aspects of the pupil experience of science teaching at secondary level.

The Head of Science will report to the Deputy Head Academic. They will be responsible for the pedagogical leadership of the science curriculum, and for ensuring that teaching excellence is embedded throughout all Key Stages. In August 2024, the Senior School at Brighton College (Singapore) will open with Years 7, 8 and 9. The Head of Science will teach across all Key Stage 3 year groups, and will be expected lead the teaching and learning at IGCSE and beyond as the school expands upwards from August 2025. The successful candidate will be able to teach at least one of the three main sciences (biology, chemistry or physics) to GCSE/IGCSE and A-level, and should be able to demonstrate a strong track record of delivering top academic results in public exams in previous roles.

This opportunity represents a career-defining, professional challenge for either a current or aspiring Middle Leader, who is excited by the opportunity of growing a new department and developing an innovative and intellectually stimulating curriculum across all three science disciplines. As with all Brighton College teaching posts, the successful candidate will share our aim of developing well-educated, respectful, and curious young men and women ready to take a full, active and positive role in the world.share our aim of developing well-educated, respectful, and curious young men and women ready to take a full, active and positive role in the world.

Key Responsibilities

• Take responsibility for the teaching, progress and attainment of all pupils in Years 7 to 9 from August 2024, and for all other senior year groups in the following years.
• Lead on all aspects of curriculum planning and delivery, including preparation for the first IGCSE Year 10 cohort starting in August 2025.
• Line manage all other science specialists in the Senior School (both teachers and lab technicians).
• Promote excellence, creativity and innovation in all areas of the science curriculum.
• Demonstrate commitment to continuous professional development.
• Lead on all aspects of assessment, tracking and reporting for science.
• Demonstrate the experience and ability to teach one of the three sciences (biology, chemistry or physics) across all relevant Key Stages (including IGCSE/GCSE and A-level). The ability and enthusiasm for teaching a second science subject to at least Year 9 would be an advantage.
• Act as an outstanding classroom practitioner, with the ability to lead by example.
• Devise and implement rigorous self-evaluation processes.
• Devise and oversee the department’s extension and enrichment programme.
• Demonstrate the experience and expertise needed to support pupils in future years with applications to leading universities, including Oxford and Cambridge and other world-class universities.
• Ensure pupils have opportunities to prepare for, and participate in, global science competitions and Olympiads, providing appropriate stretch and challenge.
• Work closely with the Heads of EAL and AEN to develop pathways for pupils requiring additional support.
• Work with the Prep School science specialists and senior leaders to manage a smooth transition from Year 6 to Year 7.
• Develop the required curriculum and department documentation, both for current and prospective parents.
• Contribute to the highest standards of safeguarding and to the school’s pastoral system, acting as a tutor for a Senior School year group.
• Contribute to the co-curricular life of the school.
• Any other reasonable management request.

Qualifications and Experience

• Bachelor’s degree in a science subject (or any other specialism related to science) with PGCE or equivalent.
• Expert knowledge or experience of successfully delivering GCSEs/IGCSEs and A-level.
• Proven track record of middle leadership (preferred but not essential).
• International experience (preferred but not essential)
• Exemplifies the Brighton College (Singapore) values of Curiosity, Confidence and Kindness.
• An international outlook and understanding of working in diverse environments.

SAFEGUARDING AND EQUAL OPPORTUNITIES

Brighton College is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. Any offer of employment will be subject to an enhanced DBS disclosure, / international Police checks, the receipt of satisfactory references, the College’s pre-employment medical question, relevant original ID documentation and examination certificates. The College understands that a robust, fair and transparent recruitment and selection policy plays a central role in achieving this aim.

The College is committed to ensuring that the recruitment and selection of staff is conducted in a manner that is systematic, efficient and effective and promotes equality of opportunity.

The College reserves the right to appoint a candidate to the role in advance of any deadline date, in the event that a suitable candidate can be appointed.

© Brighton College (Singapore) Pte Ltd

CPE Registration Number: 201904884D

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

The Growth team plays a core role in acquisition, activation, and retention of billions of users, through our globally popular products such as TikTok, Resso, CapCut, Helo, etc. We are building platform foundation, leveraging data and ML models, and providing end-to-end solutions to power global growth of ByteDance products. Typical Growth projects including referral, notifications, paid ads, etc.

You will:

- Develop comprehensive product metrics and quantitative measurement structure based on product stages and business purposes.

- Prototype analysis pipelines to provide insights, and provide quick responses to business inquiries and events;

- Conduct routine and non-routine end-to-end analyses with large, complex data sets, and make recommendations on appropriate solutions;

- Cooperate with PM / Ops team / R&D, promote the implementation of optimization scheme, and bring about the actual improvement and growth of the business.

Qualifications

- Bachelor's degree or above in Statistics, Applied Mathematics, Computer Science or a related field

- 5+ years of working experience in Data Science, algorithmic engineering, or machine learning

- Proficient in SQL/Hive/Python or R, experienced in massive data manipulation, machine learning & modeling

- Strong technical leadership combined with hands-on data mining and machine learning application experience

- Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practice

- Insightful data sense and rigorous logical mindset, capable of providing systematic approaches to solve business problems;

- Quickly familiar with and starting a new business; Can lead a small project team to support business

- Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques

- Have a strong ability to work under pressure, have the courage to overcome difficulties, and accept challenges.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.