Foster a culture of AI adoption: Collaborate with cross-functional teams to promote AI adoption, provide guidance on AI best practices, and ensure seamless integration with existing workflows.
Stay ahead of AI trends and advancements: Participate in industry conferences, research papers, and forums to maintain expertise and identify opportunities for innovation.
Education: Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field.
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This is a senior leadership opportunity for an individual with a strong blend of life sciences domain knowledge, strategic insight, commercial judgement, and data-led decision-making capability. The successful candidate will be responsible for building and shaping a new intelligence hub designed to support investment activity, strengthen market understanding, and provide actionable insight across a broad healthcare and life sciences landscape.
The role will suit an individual who is comfortable operating across strategy, analytics, stakeholder engagement, and ecosystem development, and who brings a strong understanding of how data can inform investment decisions, identify growth opportunities, and support innovation-led businesses.
The appointed individual will lead the development of the hub’s vision, structure, and output, ensuring the delivery of high-quality intelligence across areas such as healthcare markets, clinical trends, commercial opportunity, and innovation activity. In parallel, they will act as a visible and credible representative within the Singapore and wider Asian ecosystem, building relationships with founders, startups, incubators, accelerators, and other key stakeholders.
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Work closely with internal stakeholders from cross-functional and product teams across multiple markets to build, test, and implement new processes and systems
Currently pursuing bachelor’s degree, preferably in a quantitative subject such as Business Analytics, Statistics, Engineering, Mathematics, or Computer Science
Foster a culture of AI adoption: Collaborate with cross-functional teams to promote AI adoption, provide guidance on AI best practices, and ensure seamless integration with existing workflows.
Stay ahead of AI trends and advancements: Participate in industry conferences, research papers, and forums to maintain expertise and identify opportunities for innovation.
Education: Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field.
...
Foster a culture of AI adoption: Collaborate with cross-functional teams to promote AI adoption, provide guidance on AI best practices, and ensure seamless integration with existing workflows.
Stay ahead of AI trends and advancements: Participate in industry conferences, research papers, and forums to maintain expertise and identify opportunities for innovation.
Education: Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field.
...
Foster a culture of AI adoption: Collaborate with cross-functional teams to promote AI adoption, provide guidance on AI best practices, and ensure seamless integration with existing workflows.
Stay ahead of AI trends and advancements: Participate in industry conferences, research papers, and forums to maintain expertise and identify opportunities for innovation.
Education: Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field.
...
Work closely with internal stakeholders from cross-functional and product teams across multiple markets to build, test, and implement new processes and systems
Currently pursuing bachelor’s degree, preferably in a quantitative subject such as Business Analytics, Statistics, Engineering, Mathematics, or Computer Science
Work closely with internal stakeholders from cross-functional and product teams across multiple markets to build, test, and implement new processes and systems
Currently pursuing bachelor’s degree, preferably in a quantitative subject such as Business Analytics, Statistics, Engineering, Mathematics, or Computer Science
Work closely with internal stakeholders from cross-functional and product teams across multiple markets to build, test, and implement new processes and systems
Currently pursuing bachelor’s degree, preferably in a quantitative subject such as Business Analytics, Statistics, Engineering, Mathematics, or Computer Science
Payroll & Reimbursements: Securely execute monthly staff payroll processing and utilize digital expense workflows to verify and process employee claims.
Corporate Documentation: Maintain and organize critical company paperwork, including corporate vendor registrations, auto-billing setups, and formal tender submissions.
Cross-Functional Collaboration: Liaise with the creative and production teams to suggest "data-backed" content ideas that improve organic and paid reach.
Quality Assurance (UAT): Execute checks on tracking links (UTMs), pixels, and social media API integrations before launching major marketing campaigns.
End-to-End Campaign Support: Support the planning and execution of data-driven campaigns, including preparing the logic for audience segmentation and targeting.
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Stock Receiving & Inspection: Meet delivery drivers, accept incoming goods, and check items for damage or shortages against the delivery orders.
Inventory Control & Stock Counts: Conduct regular physical stock counts in the storeroom/pantry area to ensure physical inventory matches our digital system records.
Organizing & Shelving: Keep the stockroom neat, organized, and properly labeled. Restock pantry shelves/units efficiently using the First-In, First-Out (FIFO) method to minimize wastage.
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Most of your week (~40-50%) is bread-and-butter bookkeeping: maintaining the general ledger in QuickBooks or equivalent, processing AP/AR, running bank reconciliations, keeping the chart of accounts clean.
About 20% is payroll and statutory: computing EPF, SOCSO/EIS, and PCB for a small team, submitting on time, no drama.
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